The objective of this retrospective study was to determine the role of ¹⁸F-FDG PET/CT in a large cohort of 495 patients with metastatic neuroendocrine neoplasms (NENs) who were treated with peptide receptor radionuclide therapy (PRRT) with a long-term follow-up. Methods: The 495 patients were treated with ¹⁷⁷Lu- and/or ⁹⁰Y- DOTATOC/DOTATATE PRRT between 2/2002 and 7/2018. All subjects received both ⁶⁸Ga-DOTATOC/TATE/NOC and ¹⁸F-FDG PET/CT prior to treatment and were followed 3-189 months. Kaplan-Meier analysis, log-rank test (Mantel-Cox), and Cox regression analysis were performed for overall survival (OS) and progression-free survival (PFS). Results: 199 patients (40.2%) presented with pancreatic NEN, 49 with CUP (cancer of unknown primary), 139 with midgut NEN, whereas the primary tumor was present in the rectum in 20, in the lung in 38, in the stomach in 8 and other locations in 42 patients. FDG-PET/CT was positive in 382 (77.2%) patients and 113 (22.8%) were FDG-negative before PRRT, while 100% were ⁶⁸Ga-DOTATOC/TATE/NOC positive. For all patients, the median PFS and OS, defined from start of PRRT, were 19.6 mo and 58.7 mo, respectively. Positive FDG predicted shorter PFS (18.5 mo vs 24.1 mo; P = 0.0015) and OS (53.2 mo vs 83.1 mo; P < 0.001) than negative FDG. Amongst the pancreatic NEN, the median OS was 52.8 mo in FDG positive and 114.3 mo in FDG negative subjects (P = 0.0006). For all patients with positive ¹⁸F-FDG uptake, and a ratio of the highest SUV_max on ⁶⁸Ga-SSTR PET to the most ¹⁸F-FDG-avid tumor lesions >2, the median OS was 53.0 mo, compared to 43.4 mo in those patients with a ratio <2 (P = 0.030). For patients with no ¹⁸F-FDG uptake (complete "mismatch" imaging pattern), the median OS was 108.3 mo vs 76.9 mo for SUV_max >15.0 and ≤15.0 on ⁶⁸Ga-SSTR PET/CT, respectively. Conclusion: The presence of positive lesions on ¹⁸F-FDG PET is an independent prognostic factor in patients with NEN treated with PRRT. Metabolic imaging with ¹⁸F-FDG PET/CT compliments the molecular imaging aspect of ⁶⁸Ga-SSTR PET/CT for the prognosis of survival after PRRT. High SSTR expression combined with negative ¹⁸F-FDG PET/CT imaging is associated with the most favorable long-term prognosis.

For individual treatment decisions in patients with metastatic prostate cancer (mPC), molecular diagnostics are increasingly used. Bone metastases are frequently the only source for obtaining metastatic tumor tissue. However, the success rate of computed tomography (CT)-guided bone biopsies for molecular analyses in mPC patients is only ~40%. Positron emission tomography (PET) using Gallium-68 prostate specific membrane antigen (⁶⁸Ga-PSMA) is a promising tool to improve the harvest rate of bone biopsies for molecular analyses. Aim of this study was to determine the success rate of ⁶⁸Ga-PSMA guided bone biopsies for molecular diagnostics in mPC patients. Methods: Within a prospective multicenter whole-genome sequencing trial (NCT01855477), 69 mPC patients underwent ⁶⁸Ga-PSMA PET/CT prior to bone biopsy. Primary endpoint was success rate (tumor percentage ≥30%) of ⁶⁸Ga-PSMA guided bone biopsies. At biopsy sites, ⁶⁸Ga-PSMA uptake was quantified using rigid body image registration of ⁶⁸Ga-PSMA PET/CT and interventional CT. Actionable somatic alterations were identified. Results: Success rate of ⁶⁸Ga-PSMA guided biopsies for molecular analyses was 70%. At biopsy sites categorized as positive, inconclusive, or negative for ⁶⁸Ga-PSMA uptake, 70%, 64%, and 36% of biopsies were tumor positive (≥30%), respectively (P = 0.0610). In tumor positive biopsies, ⁶⁸Ga-PSMA uptake was significantly higher (P = 0.008), whereas radiodensity was significantly lower (P = 0.006). With an area under the curve of 0.84 and 0.70, both ⁶⁸Ga-PSMA uptake (maximum standardized uptake value) and radiodensity (mean Hounsfield Units) were strong predictors for a positive biopsy. Actionable somatic alterations were detected in 73% of the sequenced biopsies. Conclusion: In patients with mPC, ⁶⁸Ga-PSMA PET/CT improves the success rate of CT-guided bone biopsies for molecular analyses, thereby identifying actionable somatic alterations in more patients. Therefore, ⁶⁸Ga-PSMA PET/CT may be considered for guidance of bone biopsies in both clinical practice and clinical trials.

Introduction: Neuroendocrine differentiation is associated with treatment failure and poor outcome in metastatic castration-resistant prostate cancer (mCRPC). We investigated the effect of circulating neuroendocrine biomarkers on the efficacy of PSMA-targeted radioligand therapy (RLT). Methods: Neuroendocrine biomarker profiles (progastrin-releasing peptide, neuron-specific enolase, and chromogranin-A) were analyzed in 50 patients commencing ¹⁷⁷Lu-PSMA-617 RLT. The primary endpoint was PSA response in relation to baseline neuroendocrine marker profiles. Additional endpoints included progression-free survival. Tumor uptake on post-therapeutic scans, a known predictive marker for response, was used as control-variable. Results: Neuroendocrine biomarker profiles were abnormal in the majority of patients. Neuroendocrine biomarker levels did not predict treatment failure or early progression (P ≥ 0.13). By contrast, intense PSMA-ligand uptake in metastases predicted both treatment response (P = 0.0030) and reduced risk of early progression (P = 0.0111). Conclusion: Neuroendocrine marker profiles do not predict adverse outcome of RLT. By contrast, high ligand uptake was confirmed to be crucial for achieving tumor-response.

Rationale: Fluorescence molecular endoscopy (FME) is an emerging technique that has the potential to improve the 22% colorectal polyp detection miss-rate. We determined the optimal dose-to-imaging interval and safety of FME using EMI-137, a c-Met targeted fluorescent peptide, in a population at high-risk for colorectal cancer. Methods: We performed in vivo FME and quantification of fluorescence by multi-diameter single-fiber reflectance, single-fiber fluorescence spectroscopy in 15 patients with a dysplastic colorectal adenoma. EMI-137 was intravenously administered (0.13mg/kg) at a one-, two- or three-hour dose-to-imaging interval (N = 3 patients per cohort). Two cohorts were expanded to six patients based on target-to-background ratios (TBR). Fluorescence was correlated to histopathology and c-Met expression. EMI-137 binding specificity was assessed by fluorescence microscopy and in vitro experiments. Results: FME using EMI-137 appeared to be safe and well tolerated. All dose-to-imaging intervals showed significantly increased fluorescence in the colorectal lesions compared to surrounding tissue, with a TBR of 1.53, 1.66 and 1.74 respectively (mean intrinsic fluorescence (Q·μ^f_a,x) = 0.035 vs. 0.023mm^-1, P<0.0003; 0.034 vs. 0.021mm^-1, P<0.0001; 0.033 vs. 0.019mm^-1, P<0.0001). Fluorescence correlated to histopathology on a macroscopic and microscopic level, with significant c-Met overexpression in dysplastic mucosa. In vitro, a dose-dependent specific binding was confirmed. Conclusion: FME using EMI-137 appeared to be safe and feasible within a one-to-three hour dose-to-imaging interval. No clinically significant differences were observed between the cohorts, although a one-hour dose-to-imaging interval was preferred from a clinical perspective. Future studies will investigate EMI-137 for improved colorectal polyp detection during screening colonoscopies.

Purpose: To determine the effect of smooth filter and partial volume correction (PVC) method on measured prostate-specific membrane antigen (PSMA) activity in small metastatic lesions and to determine the impact of these changes on the molecular imaging (mi) PSMA scoring. Materials & Methods: Men with biochemical recurrence of prostate cancer with negative CT and bone scintigraphy were referred for ¹⁸F-DCFPyL PET/CT. Examinations were performed on one of 2 PET/CT scanners (GE Discovery 610 or Siemens mCT40). All suspected tumor sites were manually contoured on co-registered CT and PET images, and each was assigned a miPSMA score as per the PROMISE criteria. The PVC factors were calculated for every lesion using the anatomical CT and then applied to the unsmoothed PET images. The miPSMA scores, with and without the corrections, were compared, and a simplified "rule of thumb" (RoT) correction factor (CF) was derived for lesions at various sizes (<4mm, 4-7mm, 7-9mm, 9-12mm). This was then applied to the original dataset and miPSMA scores obtained using the RoT CF were compared to those found using the actual corrections. Results: There were 75 men (median age, 69 years; median serum PSA of 3.69 ug/L) with 232 metastatic nodes < 12 mm in diameter (mean lesion volume of 313.5 ± 309.6 mm³). Mean SUV_max before and after correction was 11.0 ± 9.3 and 28.5 ± 22.8, respectively (p<0.00001). The mean CF for lesions <4mm (n = 22), 4-7mm (n = 140), 7-9mm (n = 50), 9-12 mm (n = 20) was 4 (range: 2.5-6.4), 2.8 (range: 1.6-4.9), 2.3 (range: 1.6-3.3) and 1.8 (range 1.4-2.4), respectively. Overall miPSMA scores were concordant between the corrected dataset and RoT in 205/232 lesions (88.4%). Conclusion: There is a significant effect of smooth filter and partial volume correction on measured PSMA activity in small nodal metastases, impacting the miPSMA score.

Bone metastases are common, especially in more prevalent malignancies such as breast and prostate cancer. They cause significant morbidity and draw on healthcare resources. Molecular and hybrid imaging techniques, including single photon emission computed tomography with computed tomography (SPECT/CT), positron emission tomography / CT and whole-body MRI with diffusion-weighted imaging (WB-MRI), have improved diagnostic accuracy in staging the skeleton compared to previous standard imaging methods, allowing earlier tailored treatment. With the introduction of several effective treatment options, it is now even more important to detect and monitor response in bone metastases accurately. Conventional imaging, including radiographs, CT, MRI and bone scintigraphy, are recognized as being insensitive and non-specific for response monitoring in a clinically relevant time frame. Early reports of molecular and hybrid imaging techniques, as well as WB-MRI, promise earlier and more accurate prediction of response vs non-response but have yet to be adopted routinely in clinical practice. We summarize the role of new molecular and hybrid imaging methods including SPECT/CT, PET/CT and WB-MRI. These modalities are associated with improvements in diagnostic accuracy for staging and response assessment of skeletal metastases over standard imaging methods, being able to quantify biological processes related to the bone microenvironment as well as tumor cells. The described improvements in the imaging of bone metastases and their response to therapy have led to some being adopted into routine clinical practice in some centers and at the same time provide better methods to assess treatment response of bone metastases in clinical trials.

Cancer Survival is related to tumor volume. FDG PET measurement of tumor volume holds promise but is not yet a clinical tool. Measurements come in two forms: the total lesion volume (TLV) based on the number of voxels in the tumor and secondly the total lesion glycolysis (TLG) which is the TLV multiplied by the average SUL per voxel of the tumor (SUL is the standardize uptake value normalized for lean mass). In this study we measured tumor volume in patients with malignant pleural mesothelioma (MPM). METHODS: A threshold-based program in IDL was developed to measure tumor volume in FDG PET images. 19 patients with malignant pleural mesothelioma (MPM) were studied before and after two cycles (6 weeks) of chemo-immunotherapy. Measurements included the total lesion volume (TLV), Total Lesion Glycolysis (TLG), the sum of the SULs in the tumor (SUL- total), a measure of total FDG uptake, and the average SUL per voxel. RESULTS: Baseline MPM volumes (TLV) ranged from 11 to 2610 cc. TLG values ranged from 32 to 8552 SUL-cc and were strongly correlated with TLV. While tumor volumes ranged over 3 orders of magnitude, the average SUL per voxel, SUL-average, stayed within a narrow range of 2.4 to 5.3 units. Thus, TLV was the major component of TLG while SUL-average was a minor component and was essentially constant. Further evaluation of SUL-average showed that in this cohort it’s two components SUL-total and tumor volume changed in parallel and were strongly correlated, r= 0.99, p<.01. Thus, whether the tumors were large or small, the FDG uptake as measured by SUL-total was proportional to the total tumor volume. Conclusion: TLG equals TLV multiplied by the average SUL per voxel, essentially TLV multiplied by a constant. Thus TLG, commonly considered a measure of "metabolic activity" in tumors, is also in this cohort a measure of tumor volume. The constancy of SUL per voxel is due to FDG uptake being proportional to tumor volume. Thus, in this study, the FDG uptake was also a measure of volume.

McCune-Albright syndrome (MAS) is a mosaic disorder arising from gain-of-function mutations in the GNAS gene, which encodes the 3', 5'-cyclic adenosine monophosphate (cAMP) pathway-associated G-protein, Gsα. Clinical manifestations of MAS in a given individual, including fibrous dysplasia, are determined by the timing and location of the GNAS mutation during embryogenesis, the tissues involved, and the role of Gsα in the affected tissues. The Gsα mutation results in dysregulation of the cAMP signaling cascade, leading to upregulation of phosphodiesterase type 4 (PDE4), which catalyzes the hydrolysis of cAMP. Increased cAMP levels have been found in vitro in both animal models of fibrous dysplasia and in cultured cells from individuals with MAS, but not in humans with fibrous dysplasia. Positron emission tomography (PET) imaging of PDE4 with ¹¹C-(R)-rolipram has been used successfully to study the in vivo activity of the cAMP cascade. To date, it remains unknown whether fibrous dysplasia and other symptoms of MAS, including neuropsychiatric impairments, are associated with increased PDE4 activity in humans. Methods: ¹¹C-(R)-rolipram whole-body and brain PET scans were performed in six individuals with MAS (three for brain scans and six for whole-body scans) and nine healthy controls (seven for brain scans and six for whole-body scans). Results: ¹¹C-(R)-rolipram binding correlated with known locations of fibrous dysplasia in the periphery of individuals with MAS; no uptake was observed in the bones of healthy controls. In peripheral organs and the brain, no difference in ¹¹C-(R)-rolipram uptake was noted between participants with MAS and healthy controls. Conclusion: This study is the first to find evidence for increased cAMP activity in areas of fibrous dysplasia in vivo. No differences in brain uptake between MAS participants and controls were detected, which could be due to several reasons, including the limited anatomic resolution of PET. Nevertheless, the results confirm the usefulness of PET scans with ¹¹C-(R)-rolipram to indirectly measure increased cAMP pathway activation in human disease.

Radionuclide imaging of myocardial perfusion, function, and viability has been established for decades and remains a robust, evidence-based and broadly available means for clinical workup and therapeutic guidance in ischemic heart disease. Yet, powerful alternative modalities have emerged for this purpose, and their growth has resulted in increasing competition. But the potential of the tracer principle goes beyond the assessment of physiology and function, towards the interrogation of biology and molecular pathways. This is a unique selling point of radionuclide imaging, which has been under-recognized in cardiovascular medicine until recently. Now, molecular imaging methods for the detection of myocardial infiltration, device infection and cardiovascular inflammation are successfully gaining clinical acceptance. This is further strengthened by the symbiotic quest of cardiac imaging and therapy for an increasing implementation of molecular-targeted procedures, where specific therapeutic interventions require specific diagnostic guidance towards the most suitable candidates. This review will summarize the current advent of clinical cardiovascular molecular imaging and highlight its transformative contribution to the evolution of cardiovascular therapy beyond mechanical interventions and broad "blockbuster" medication, towards a future of novel, individualized molecular targeted and molecular imaging-guided therapies.

Bone is the most common site of distant metastatic spread in prostate adenocarcinoma. Prostate-specific membrane antigen uptake has been described in both benign and malignant bone lesions, which can lead to false-positive findings on ⁶⁸Ga-prostate-specific membrane antigen-11 positron emission tomography (⁶⁸Ga-PSMA-11 PET). The purpose of this study was to evaluate the diagnostic accuracy of ⁶⁸Ga-PSMA-11 PET for osseous prostate cancer metastases and improve bone uptake interpretation using semi-quantitative metrics. METHODS: 56 prostate cancer patients (18 pre-prostatectomy, 38 biochemical recurrence) who underwent ⁶⁸Ga-PSMA-11 PET/MRI or PET/CT examinations with osseous PSMA-ligand uptake were included in the study. Medical records were reviewed retrospectively by board-certified nuclear radiologists to determine true or false positivity based on a composite endpoint. For each avid osseous lesion, biological volume, size, PSMA-RADS rating, maximum standardized uptake value (SUV_max), and ratio of lesion SUV_max to liver, blood pool, and background bone SUV_max were measured. Differences between benign and malignant lesions were evaluated for statistical significance, and cut-off values for these parameters were determined to maximize diagnostic accuracy. RESULTS: Among 56 participants, 13 patients (22.8%) had false-positive osseous ⁶⁸Ga-PSMA-11 findings and 43 patients (76.8%) had true-positive osseous ⁶⁸Ga-PSMA-11 findings. Twenty-two patients (39%) had 1 osseous lesion, 18 (32%) had 2-4 lesions, and 16 (29%) had 5 or more lesions. Cut-off values resulting in statistically significant (p<0.005) differences between benign and malignant lesions were: PSMA-RADS ≥4, SUV_max ≥4.1, SUV_max ratio of lesion to blood pool ≥2.11, to liver ≥0.55, and to bone ≥4.4. These measurements corresponded to lesion-based ⁶⁸Ga-PSMA-11 PET lesion detection rate for malignancy of 80%, 93%, 89%, 21%, 89%, and a specificity of 73%, 73%, 73%, 93%, 60%, respectively. CONCLUSION: PSMA-RADS rating, SUV_max, and SUV_max ratio of lesion to blood pool can help differentiate benign from malignant lesions on ⁶⁸Ga-PSMA-11 PET. SUV_max ratio to blood pool above 2.2 is a reasonable parameter to support image interpretation and presented superior lesion detection rate and specificity when compared to visual interpretation by PSMA RADS. These parameters hold clinical value by improving diagnostic accuracy for metastatic prostate cancer on ⁶⁸Ga-PSMA-11 PET/MRI and PET/CT.

Prostate specific membrane antigen (PSMA) targeting Positron Emission Tomography (PET) imaging is becoming the reference standard for prostate cancer (PC) staging, especially in advanced disease. Yet, the implications of PSMA-PET derived whole-body tumor volume for overall survival are poorly elucidated to date. This might be due to the fact that (semi-) automated quantification of whole-body tumor volume as PSMA-PET biomarker is an unmet clinical challenge. Therefore, a novel semi-automated software is proposed and evaluated by the present study, which enables the semi-automated quantification of PSMA-PET biomarkers such as whole-body tumor volume. Methods: The proposed quantification is implemented as a research prototype (MI Whole Body Analysis Suite, v1.0, Siemens Medical Solutions USA, Inc., Knoxville, TN). PSMA accumulating foci were automatically segmented by a percental threshold (50% of local SUV_max). Neural networks were trained to segment organs in PET-CT acquisitions (training CTs: 8,632, validation CTs: 53). Thereby, PSMA foci within organs of physiologic PSMA uptake were semi-automatically excluded from the analysis. Pretherapeutic PSMA-PET-CTs of 40 consecutive patients treated with ¹⁷⁷Lu-PSMA-617 therapy were evaluated in this analysis. The volumetric whole-body tumor volume (PSMATV50), SUV_max, SUVmean and other whole-body imaging biomarkers were calculated for each patient. Semi-automatically derived results were compared with manual readings in a sub-cohort (by one nuclear medicine physician using syngo.MM Oncology software, Siemens Healthineers, Knoxville, TN). Additionally, an inter-observer evaluation of the semi-automated approach was performed in a sub-cohort (by two nuclear medicine physicians). Results: Manually and semi automatically derived PSMA metrics were highly correlated (PSMATV50: R2=1.000; p<0.001; SUV_max: R2=0.988; p<0.001). The inter-observer agreement of the semi-automated workflow was also high (PSMATV50: R2=1.000; p<0.001; ICC=1.000; SUV_max: R2=0.988; p<0.001; ICC=0.997). PSMATV50 [ml] was a significant predictor of overall survival (HR: 1.004; 95%CI: 1.001-1.006, P = 0.002) and remained so in a multivariate regression including other biomarkers (HR: 1.004; 95%CI: 1.001-1.006 P = 0.004). Conclusion: PSMATV50 is a promising PSMA-PET biomarker that is reproducible and easily quantified by the proposed semi-automated software. Moreover, PSMATV50 is a significant predictor of overall survival in patients with advanced prostate cancer that receive ¹⁷⁷Lu-PSMA-617 therapy.

Purpose: We aimed to conduct a systematic review and meta-analysis of studies reporting the performance of radioactive iodine therapy (131-I therapy) in differentiating thyroid cancer (DTC) patients requiring a completion treatment following lobectomy. We also evaluated the response to 131-I therapy according to 2015ATA guidelines and the adverse events. Methods: A specific search strategy was designed to find articles evaluating the use of I-131 in patients with evidence of DTC after lobectomy. PubMed, CENTRAL, Scopus and Web of Science were searched. The search was updated until January 2020, without language restriction. Data were cross-checked and any discrepancy discussed. A proportion meta-analysis (with 95%CI) was performed using the random-effects model. Meta-regressions on I-131 success were attempted. Results: The pooled success ablation rate was 69% with better results in patients receiving a single administration of about 3.7 GBq; high heterogeneity was found (I2 85%), and publication bias was absent (Egger test: P = 0.57). Incomplete structural responses were recorded in only 14 of 695 (2%) patients enrolled in our analysis. Incomplete biochemical responses were observed in 8 to 24% of patients, with higher rates (24%) in patients receiving low radioiodine activities (~1.1 GBq) and lower rates (from 8 to 18%) in patients receiving higher activities of radioiodine (~3.7 Gbq). Neck pain due to thyroiditis was reported in up to 18% of patients but, in most cases, symptoms resolved after oral paracetamol or a short course of prednisone. Conclusion: Lobar ablation with 131-I is effective especially when high ¹³¹I activities are used. However, the rate of incomplete biochemical response to initial treatment appears to be slightly higher than the classical scheme of initial treatment of DTC. "Radioisotopic lobectomy" should be considered for patients with low-to-intermediate risk DTC requiring completion treatment after lobectomy due to specific individual risk factors and/or patient’s preferences.

At diagnosis 22% of colorectal cancer (CRC) patients have metastases and 50% later develop metastasis. Peptide receptor radionuclide therapy (PRRT) with lutetium-177 (¹⁷⁷Lu)-PSMA-617 is employed to treat metastatic prostate cancer (PC). ¹⁷⁷Lu-PSMA-617 targets Prostate Specific Membrane Antigen (PSMA) a cell surface protein enriched in PC and the neovasculature of other solid tumors including CRC. We performed gallium-68 (⁶⁸Ga)-PSMA-11 PET-CT imaging of ten metastatic CRC patients to assess metastasis avidity. Eight patients had lesions lacking avidity and two had solitary metastases exhibiting very low avidity. Despite expression of PSMA in CRC neovasculature, none of the patients exhibited tumor avidity sufficient to be considered for ¹⁷⁷Lu-PSMA-617 PRRT.

The purpose of this study was to establish the dose-response relationship of selective internal radiation therapy (SIRT) in patients with metastatic colorectal cancer (mCRC), when informed by radiobiological sensitivity parameters derived from mCRC cell lines exposed to yttrium-90 (⁹⁰Y). Methods: 23 mCRC patients with liver metastases refractory to chemotherapy were included. ⁹⁰Y bremsstrahlung SPECT images were transformed into dose maps assuming the local dose deposition method. Baseline and follow-up CT scans were segmented to derive liver and tumor volumes. Mean, median, and D₇₀ (minimum dose to 70% of tumor volume) values determined from dose maps were correlated with change in tumor volume and vRECIST response using linear and logistic regression, respectively. Radiosensitivity parameters determined by clonogenic assays of mCRC cell lines HT-29 and DLD-1 after exposure to ⁹⁰Y or external beam radiotherapy (EBRT; 6MV photons) were used in biological effective dose (BED) calculations. Results: Mean administered radioactivity was 1469±428 MBq (847-2185 MBq), achieving a mean radiation absorbed tumor dose of 35.5±9.4 Gy and mean normal liver dose of 26.4±6.8 Gy. A 1.0 Gy increase in mean, median, and D₇₀ absorbed dose was associated with reduction in tumor volume of 1.8%, 1.8%, and 1.5%, respectively, and increased probability of vRECIST response (odds ratio: 1.09, 1.09, and 1.10 respectively). Threshold mean, median and D₇₀ doses for response were 48.3, 48.8, and 41.8 Gy respectively. EBRT-equivalent BEDs for ⁹⁰Y are up to 50% smaller than those calculated by applying protraction-corrected radiobiological parameters derived from EBRT alone. Conclusion: Dosimetric studies have assumed equivalence between ⁹⁰Y SIRT and EBRT, leading to inflation of BED for SIRT and possible under-treatment. Radiobiological parameters for ⁹⁰Y were applied to a BED model, providing a calculation method that has the potential to improve assessment of tumor control.

Background: Functional magnetic resonance imaging (fMRI) studies have reported altered integrity of large-scale neurocognitive networks (NCNs) in dementing disorders. However, findings on specificity of these alterations in patients with Alzheimer’s disease (AD) and behavioral variant frontotemporal dementia (bvFTD) are still very limited. Recently, NCNs have been successfully captured using positron emission tomography (PET) with F18-fluordesoxyglucose (FDG). Methods: Network integrity was measured in 72 individuals (38 male) with mild AD, bvFTD, and healthy controls using a simultaneous resting state fMRI and FDG-PET. Indices of network integrity were calculated for each subject, network, and imaging modality. Results: In either modality, independent component analysis revealed four major NCNs: anterior default mode network (DMN), posterior DMN, salience network, and right central executive network (CEN). In fMRI data, integrity of posterior DMN was found to be significantly reduced in both patient groups relative to controls. In the AD group anterior DMN and CEN appeared to be additionally affected. In PET data, only integrity of posterior DMN in patients with AD was reduced, while three remaining networks appeared to be affected only in patients with bvFTD. In a logistic regression analysis, integrity of anterior DMN as measured with PET alone accurately differentiated between the patient groups. A correlation between indices of two imaging modalities was overall low. Conclusion: FMRI and FDG-PET capture partly different aspects of network integrity. A higher disease specificity of NCNs as derived from PET data supports metabolic connectivity imaging as a promising diagnostic tool.

It was hypothesized that the brain β-amyloid buildup curve plateaus at an early symptomatic Alzheimer's disease (AD) stage. Atrophy-related partial volume effects (PVEs) degrade signal in hot-spot imaging techniques, such as amyloid positron emission tomography (PET). This longitudinal analysis of amyloid-sensitive PET data investigated the shape of the β-amyloid curve in AD applying PVE correction (PVEC). We analyzed baseline and 2-year follow-up data of 216 symptomatic individuals on the AD continuum (positive amyloid status) enrolled in Alzheimer's Disease Neuroimaging Initiative (17 AD dementia, 199 mild cognitive impairment), including 18F-florbetapir PET, magnetic resonance imaging and mini mental state examination (MMSE) scores. For PVEC, the modified Müller-Gärtner method was performed. Compared to non-PVE-corrected data, PVE-corrected data yielded significantly higher regional and composite standardized uptake value ratio (SUVR) changes over time (P=0.0002 for composite SUVRs). Longitudinal SUVR changes in relation to MMSE decreases showed a significantly higher slope of the regression line in the PVE-corrected as compared to the non-PVE-corrected PET data (F=7.1, P=0.008). These PVEC results indicate that the β-amyloid buildup curve does not plateau at an early symptomatic disease stage. A further evaluation of the impact of PVEC on the in-vivo characterization of time-dependent AD pathology, including the reliable assessment and comparison of other amyloid tracers, is warranted.

Purpose: This study is designed to assess the safety and therapeutic response to ¹⁷⁷Lu-EB-PSMA treatment with escalating doses in patients with metastatic castration-resistant prostate cancer (mCRPC). Methods: With institutional review board approval and informed consent, patients were randomly divided into three groups: Group A (n = 10) were treated with 1.18 ± 0.09 GBq/dose of ¹⁷⁷Lu-EB-PSMA. Group B (n = 10) were treated with 2.12 ± 0.19 GBq/dose of ¹⁷⁷Lu-EB-PSMA. Group C (n = 8) were treated with 3.52 ± 0.58 GBq/dose of ¹⁷⁷Lu-EB-PSMA. Eligible patients received up to three cycles of ¹⁷⁷Lu-EB-PSMA therapy, at eight-week intervals. Results: Due to disease progression or bone marrow suppression, 4 out of 10, 5 out of 10, and 5 out of 10 patients completed three cycles therapy as planned in Groups A, B, and C, respectively. The prostate-specific antigen (PSA) response was correlated with treatment dose, with PSA disease control rates in Group B (70%) and C (75%) being higher than that in Group A (10%) (P = 0.007), but no correlation between Group B and Group C was found. ⁶⁸Ga-PSMA PET/CT showed response in all the treatment groups, however, there was no significant difference between the three groups. Hematologic toxicity study found that platelets in Group B and Group C decreased more than those in Group A, and that Grade 4 thrombocytopenia occurred in 2 (25.0%) patients in Group C. No serious nephritic or hepatic side effects were observed. Conclusion: This study demonstrates that 2.12 GBq/dose of ¹⁷⁷Lu-EB-PSMA seems to be safe and adequate in tumor treatment. Further investigations with increased number of patients are warranted.

In randomized clinical trials (RCTs), no survival benefit has been observed for selective internal radiotherapy (SIRT) over sorafenib in patients with advanced hepatocellular carcinoma (aHCC). This study aimed to assess by means of a meta-analysis whether overall survival (OS) with SIRT, as monotherapy or followed by sorafenib, is non-inferior to sorafenib, and compare safety profiles for patients with aHCC. Methods: We searched MEDLINE, EMBASE, and the Cochrane Library up to February 2019 to identify RCTs comparing SIRT as monotherapy, or followed by sorafenib, to sorafenib monotherapy among patients with aHCC. The main outcomes were OS and frequency of treatment-related severe adverse events (AEs grade ≥3). The per-protocol population was the primary analysis population. A non-inferiority margin of 1.08 in terms of hazard ratio (HR) was pre-specified for the upper boundary of 95% confidence interval (CI) for OS. Pre-specified subgroup analyses were performed. Results: Three RCTs, involving 1,243 patients, comparing sorafenib with SIRT (SIRveNIB and SARAH) or SIRT followed by sorafenib (SORAMIC), were included. After randomization, 411/635 (64.7%) patients allocated to SIRT and 522/608 (85.8%) allocated to sorafenib completed the studies without major protocol deviations. Median OS with SIRT, whether or not followed by sorafenib, was non-inferior to sorafenib (10.2 and 9.2 months, [HR 0.91, 95% CI 0.78–1.05]). Treatment-related severe adverse events were reported in 149/515 patients (28.9%) who received SIRT and 249/575 (43.3%) who received sorafenib only (p<0.01). Conclusion: SIRT as initial therapy for aHCC is non-inferior to sorafenib in terms of OS, and offers a better safety profile.

Introduction: Prostate-specific membrane antigen ligand positron emission tomography (PSMA PET) induces management changes in patients with prostate cancer. We aim to better characterize the impact of PSMA PET on management of recurrent prostate cancer in a large prospective cohort. Methods: We report management changes following PSMA PET, a secondary endpoint of a prospective multicenter trial in men with prostate cancer biochemical recurrence. Pre-PET (Q1), Post-PET (Q2) and Post-Treatment (Q3) questionnaires were sent to referring physicians recording site of recurrence, intended (Q1 to Q2 change) and implemented (Q3) therapeutic and diagnostic management. Results: Q1/Q2 response was collected for 382/635 (60%, intended cohort), Q1/Q2/Q3 for 206 patients (32%, implemented cohort). Intended management change (Q1/2) occurred in 260/382 (68%) patients. Intended change (Q1/2) was considered major in 176/382 (46%) patients. Major changes occurred most often for patients with PSA of 0.5 to <2.0 ng/mL (81/147, 55%). By analysis of stage-groups, management change was consistent with PET disease location, i.e. majority of major changes towards active surveillance (47%) for unknown disease site (103/382, 27%), towards local/focal therapy (56%) for locoregional disease (126/382, 33%), and towards systemic therapy (69% M1a; 43% M1b/c) for metastatic disease (153/382, 40%). According to Q3 responses, intended management was implemented in 160/206 (78%) patients. A total of 150 intended diagnostic tests, mostly CT (n = 43, 29%) and bone Scans/NaF-PET (n = 52, 35%), were prevented by PSMA PET; 73 tests, mostly biopsies (n = 44, 60%) as requested by the study protocol, were triggered (Q1/2). Conclusion: According to referring physicians, sites of recurrence were clarified by PSMA PET and disease localization translated into management changes in more than half of patients with biochemical recurrence of prostate cancer.

Rationale: To conduct a retrospective study comparing three ¹²³I-FP-CIT-SPECT quantitative methods in patients with neurodegenerative syndromes as referenced to neuropathological findings. Methods: ¹²³I-FP-CIT-SPECT and neuropathological findings among patients with neurodegenerative syndromes from the Mayo Alzheimer's Disease Research Center and Mayo Clinic Study of Aging were examined. Three ¹²³I-FP-CIT-SPECT quantitative assessment Methods: MIMneuro (MIM Software Inc.), DaTQUANT (GE Healthcare), and manual region of interest (ROI) creation on an Advantage Workstation (GE Healthcare) were compared to neuropathological findings describing the presence or absence of Lewy body disease (LBD). Striatum to background ratios (SBRs) generated by DaTQUANT were compared to the calculated SBRs of the manual method and MIMneuro. The left and right SBRs for caudate, putamen and striatum were evaluated with the manual method. For DaTQUANT and MIMneuro the left, right, total and average SBRs and z-scores for whole striatum, caudate, putamen, anterior putamen, and posterior putamen were calculated. Results: The cohort included 24 patients [20 (83%) male, aged 75.4 +/- 10.0 at death]. The antemortem clinical diagnoses were Alzheimer’s disease dementia (ADem, N = 6), probable dementia with Lewy bodies (pDLB, N = 12), mixed ADem/pDLB (N = 1), Parkinson’s disease with mild cognitive impairment (N = 2), corticobasal syndrome (N = 1), idiopathic rapid eye movement sleep behavior disorder (iRBD) (N = 1) and behavioral variant frontotemporal dementia (N = 1). Seventeen (71%) had LBD pathology. All three ¹²³I-FP-CIT-SPECT quantitative methods had area under the receiver operating characteristics (AUROC) values above 0.93 and up to 1.000 (p<0.001) and showed excellent discrimination between LBD and non-LBD patients in each region assessed, p<.001. There was no significant difference between the accuracy of the regions in discriminating the two groups, with good discrimination for both caudate and putamen. Conclusion: All three ¹²³I-FP-CIT-SPECT quantitative methods showed excellent discrimination between LBD and non-LBD patients in each region assessed, using both SBRs and z-scores.

Cerebral β-amyloid deposits and regional glucose metabolism assessed by positron emission tomography (PET) are used to distinguish between Alzheimer's disease (AD) and other dementia syndromes. In the present multicenter study, we estimated the prevalence of β-amyloid deposits on PET imaging in a wide variety of dementia syndromes and mild cognitive impairment (MCI) within a memory clinic population. Methods: Of the 1193 consecutive patients with cognitive impairment (CI) who received combined ¹⁸F-AV45 and/or ¹¹C-PIB PET, 960 were diagnosed with AD, 36 with frontotemporal dementia (FTD), 5 with dementia with Lewy bodies (DLB), 144 with MCI, 29with vascular dementia (VaD), 4 with corticobasal syndrome (CBS) and 15 with unclassifiable dementia. Baseline clinical diagnoses were independently established without access to PET imaging results. ApoE genotype analysis was performed in CI patients and 231 gender- and age-matched controls. Results: Of the 1193 CI patients, 860 (72.1%) were amyloid-positive. The prevalence of amyloid positivity in AD and MCI patients was 86.8% (833/960) and 9.7% (14/144), respectively. In FTD patients, the prevalence of β-amyloid deposits was 5.6% (2/36). In the 4 CBS patients, two were amyloid-positive. Three of the 5 DLB patients showed amyloid positivity, as did 6 of the 29 VaD (20.7%) patients. The ApoE4 allele frequency was significantly increased in amyloid-positive CI patients (30.5%) as compared with other amyloid-negative CI patients (14%) or controls (7.3%). Conclusion: Amyloid imaging may potentially be the most helpful parameter for differential diagnosis in dementia, particularly to distinguish between AD and FTD. Amyloid PET can be used in conjunction with the ApoE4 allele genetic risk test for amyloid deposits.

The value of interim ¹⁸F-fluorodeoxyglucose positron emission tomography (iPET) guided treatment decisions in patients with diffuse large B-cell lymphoma (DLBCL) has been the subject of much debate. This investigation focuses on a comparison of the Deauville score and the deltaSUV_max (SUV_max) approach – two methods to assess early metabolic response to standard chemotherapy in DLBCL. Methods: Of 609 DLBCL patients participating in the Positron Emission Tomography-guided Therapy of Aggressive non-Hodgkin Lymphomas (PETAL) trial, iPET scans of 596 patients originally evaluated using the SUV_max method were available for post-hoc assessment of the Deauville score. A commonly used definition of an unfavorable iPET result according to the Deauville score is an uptake greater than that of the liver, whereas an unfavorable iPET scan with regard to the SUV_max approach is characterized as a relative reduction of the maximum standardized uptake value between baseline and iPET staging of less than or equal to 66%. We investigated the two methods’ correlation and concordance by Spearman’s rank correlation coefficient and the agreement in classification, respectively. We further used Kaplan-Meier curves and Cox regression to assess differences in survival between patient subgroups defined by the pre-specified cut-offs. Time-dependent receiver operating curve analysis provided information on the methods’ respective discrimination performance. Results: Deauville score and SUV_max approach differed in their iPET-based prognosis. The SUV_max approach outperformed the Deauville score in terms of discrimination performance – most likely due to a high number of false-positive decisions by the Deauville score. Cut-off-independent discrimination performance remained low for both methods, but cut-off-related analyses showed promising results. Both favored the SUV_max approach, e.g. for the segregation by iPET response, where the event-free survival hazard ratio was 3.14 (95% confidence interval (CI): 2.22 – 4.46) for SUV_max and 1.70 (95% CI: 1.29 – 2.24) for the Deauville score. Conclusion: When considering treatment intensification, the currently used Deauville score cut-off of an uptake above that of the liver seems to be inappropriate and associated with potential harm for DLBCL patients. The SUV_max criterion of a relative reduction of the maximum standardized uptake value of less than or equal to 66% should be considered as an alternative.

The prostate-specific membrane antigen (PSMA) is an excellent target for theranostic applications in prostate cancer (PCa). However, PSMA-targeted radioligand therapy can cause undesirable effects due to high accumulation of PSMA radiotracers in salivary glands and kidneys. This study assessed orally administered monosodium glutamate (MSG) as a potential means of reducing kidney and salivary gland radiation exposure using a PSMA targeting radiotracer. Methods: This prospective, double-blind, placebo-controlled study enrolled 10 biochemically recurrent PCa patients. Each subject served as his own control. [¹⁸F]DCFPyl PET/CT imaging sessions were performed 3 – 7 days apart, following oral administration of either 12.7 g of MSG or placebo. Data from the two sets of images were analyzed by placing regions of interest on lacrimal, parotid and submandibular glands, left ventricle, liver, spleen, kidneys, bowel, urinary bladder, gluteus muscle and malignant lesions. The results from MSG and placebo scans were compared by paired analysis of the ROI data. Results: A total of 142 pathological lesions along with normal tissues were analyzed. As hypothesized a priori, there was a significant decrease in maximal standardized uptake values corrected for lean body mass (SULmax) on images obtained following MSG administration in the parotids (24 ± 14%, P = 0.001), submandibular glands (35 ± 11%, P<0.001) and kidneys (23 ± 26%, P = 0.014). Significant decreases were also observed in lacrimal glands (49 ± 13%, P<0.001), liver (15 ± 6%, P<0.001), spleen (28 ± 13%, P = 0.001) and bowel (44 ± 13%, P<0.001). Mildly lower blood pool SULmean was observed after MSG administration (decrease of 11 ± 13%, P = 0.021). However, significantly lower radiotracer uptake in terms of SULmean, SULpeak, and SULmax was observed in malignant lesions on scans performed after MSG administration compared to the placebo studies (SULmax median decrease 33%, range -1 to 75%, P<0.001). No significant adverse events occurred and vital signs were stable following placebo or MSG administration. Conclusion: Orally administered MSG significantly decreased salivary gland, kidney and other normal organ PSMA radiotracer uptake in human subjects, using [¹⁸F]DCFPyL as an exemplar. However, MSG caused a corresponding reduction in tumor uptake, which may limit the benefits of this approach for diagnostic and therapeutic applications.

Research Event

Event participants

Louise Mushikiwabo, Secretary General, Organisation Internationale de la Francophonie (OIF)
Chair: Bob Dewar CMG, Associate Fellow, Africa Programme, Chatham House

31 October 2019

Trade between Central and Eastern Europe and sub-Saharan Africa has increased significantly in the last decade and a half. There is a strong case to be made for greater economic re-engagement, especially in terms of investment, that has the potential to support inclusive growth in both regions.

Research Event

Event participants

Hon Bruno Nabagné Kone, Minister of Construction, Housing and Urban Planning, Republic of Côte d'Ivoire

Invitation Only Research Event

Event participants

Ambassador Mohamed Ali Guyo, IGAD Special Envoy for the Red Sea, Gulf of Aden and Somalia
Julian Reilly, UK Special Envoy for the Red Sea and Horn of Africa
Parfait Onanga-Anyanga, United Nations Special Envoy for the Horn of Africa
Alexander Rondos, EU Special Representative for the Horn of Africa
Chair: Susan Stigant, Director of Africa Programs, United States Institute of Peace

17 December 2019

18 December 2019

Research Event

Invitation Only Research Event

Event participants

Denise Brown, United Nations Deputy Special Representative of the Secretary-General, Resident and Humanitarian Coordinator in the Central African Republic
Chair: Ben Shepherd, Consulting Fellow, Africa Programme, Chatham House

Corporate Members Event

Event participants

Raj Kulasingam, Senior Counsel, Dentons

Megan McDonald, Head of Investment Banking (International), Standard Bank Group

Chair: Dr Alex Vines OBE, Managing Director, Ethics, Risk & Resilience; Director, Africa Programme, Chatham House

Research Event

Event participants

HE Nana Akufo-Addo, President of the Republic of Ghana
Chair: Dr Alex Vines OBE, Managing Director, Ethics, Risk & Resilience; Director, Africa Programme, Chatham House

Research Event

Event participants

HE Nabil Ben Khedher, Ambassador of Tunisia to the United Kingdom
Professor Naohiro Kitano, Visiting Fellow, Japan International Cooperation Agency Research Institute (JICA-RI); Professor, Waseda University
Taku Miyazaki, Deputy Director General, Japan External Trade Organisation (JETRO) London
Serge Mouangue, Founder and Art Director, WAfrica
Norio Suzuki, Senior Strategist, BBOXX
HE Professor Mohammed Gana Yisa, Ambassador of the Federal Republic of Nigeria to Japan; Chairman, African Diplomatic Corps in Tokyo (ADC) TICAD Committee

Chairs:
Dr Champa Patel, Director, Asia-Pacific Programme, Chatham House
Dr Alex Vines OBE, Managing Director, Ethics, Risk & Resilience; Director, Africa Programme

Research Event

Event participants

Dr Hafez Ghanem, Vice President for Africa, World Bank
Chair: Elizabeth Donnelly, Deputy Director, Africa Programme, Chatham House

Research Event

7 May 2020 , Volume 96, Number 3

Fatty acid transport protein 2 (FATP2) is highly expressed in the liver, small intestine, and kidney, where it functions in both the transport of exogenous long-chain fatty acids and the activation of very-long-chain fatty acids. Here, using a murine model, we investigated the phenotypic impacts of deleting FATP2, followed by a transcriptomic analysis using unbiased RNA-Seq to identify concomitant changes in the liver transcriptome. WT and FATP2-null (Fatp2−/−) mice (5 weeks) were maintained on a standard chow diet for 6 weeks. The Fatp2−/− mice had reduced weight gain, lowered serum triglyceride, and increased serum cholesterol levels and attenuated dietary fatty acid absorption. Transcriptomic analysis of the liver revealed 258 differentially expressed genes in male Fatp2−/− mice and a total of 91 in female Fatp2−/− mice. These genes mapped to the following gene ontology categories: fatty acid degradation, peroxisome biogenesis, fatty acid synthesis, and retinol and arachidonic acid metabolism. Targeted RT-quantitative PCR verified the altered expression of selected genes. Of note, most of the genes with increased expression were known to be regulated by peroxisome proliferator–activated receptor α (PPARα), suggesting that FATP2 activity is linked to a PPARα-specific proximal ligand. Targeted metabolomic experiments in the Fatp2−/− liver revealed increases of total C16:0, C16:1, and C18:1 fatty acids; increases in lipoxin A4 and prostaglandin J2; and a decrease in 20-hydroxyeicosatetraenoic acid. We conclude that the expression of FATP2 in the liver broadly affects the metabolic landscape through PPARα, indicating that FATP2 provides an important role in liver lipid metabolism through its transport or activation activities.

In bottom-up, label-free discovery proteomics, biological samples are acquired in a data-dependent (DDA) or data-independent (DIA) manner, with peptide signals recorded in an intact (MS1) and fragmented (MS2) form. While DDA has only the MS1 space for quantification, DIA contains both MS1 and MS2 at high quantitative quality. DIA profiles of complex biological matrices such as tissues or cells can contain quantitative interferences, and the interferences at the MS1 and the MS2 signals are often independent. When comparing biological conditions, the interferences can compromise the detection of differential peptide or protein abundance and lead to false positive or false negative conclusions.

We hypothesized that the combined use of MS1 and MS2 quantitative signals could improve our ability to detect differentially abundant proteins. Therefore, we developed a statistical procedure incorporating both MS1 and MS2 quantitative information of DIA. We benchmarked the performance of the MS1-MS2-combined method to the individual use of MS1 or MS2 in DIA using four previously published controlled mixtures, as well as in two previously unpublished controlled mixtures. In the majority of the comparisons, the combined method outperformed the individual use of MS1 or MS2. This was particularly true for comparisons with low fold changes, few replicates, and situations where MS1 and MS2 were of similar quality. When applied to a previously unpublished investigation of lung cancer, the MS1-MS2-combined method increased the coverage of known activated pathways.

Since recent technological developments continue to increase the quality of MS1 signals (e.g. using the BoxCar scan mode for Orbitrap instruments), the combination of the MS1 and MS2 information has a high potential for future statistical analysis of DIA data.

The presentation of peptides on class I human leukocyte antigen (HLA-I) molecules plays a central role in immune recognition of infected or malignant cells. In cancer, non-self HLA-I ligands can arise from many different alterations, including non-synonymous mutations, gene fusion, cancer-specific alternative mRNA splicing or aberrant post-translational modifications. Identifying HLA-I ligands remains a challenging task that requires either heavy experimental work for in vivo identification or optimized bioinformatics tools for accurate predictions. To date, no HLA-I ligand predictor includes post-translational modifications. To fill this gap, we curated phosphorylated HLA-I ligands from several immunopeptidomics studies (including six newly measured samples) covering 72 HLA-I alleles and retrieved a total of 2,066 unique phosphorylated peptides. We then expanded our motif deconvolution tool to identify precise binding motifs of phosphorylated HLA-I ligands. Our results reveal a clear enrichment of phosphorylated peptides among HLA-C ligands and demonstrate a prevalent role of both HLA-I motifs and kinase motifs on the presentation of phosphorylated peptides. These data further enabled us to develop and validate the first predictor of interactions between HLA-I molecules and phosphorylated peptides.

The molecular mechanisms underlying exceptional radioresistance in pancreatic cancer remain elusive. In the present study, we established a stable radioresistant pancreatic cancer cell line MIA PaCa-2-R by exposing the parental MIA PaCa-2 cells to fractionated ionizing radiation (IR). Systematic proteomics and bioinformatics analysis of protein expression in MIA PaCa-2 and MIA PaCa-2-R cells revealed that several growth factor-/cytokine-mediated pathways, including the OSM/STAT3, PI3K/AKT, and MAPK/ERK pathways, were activated in the radioresistant cells, leading to inhibition of apoptosis and increased epithelial-mesenchymal plasticity. In addition, the radioresistant cells exhibited enhanced capabilities of DNA repair and antioxidant defense compared with the parental cells. We focused functional analysis on one of the most up-regulated proteins in the radioresistant cells, ecto-5'-nucleotidase (CD73), which is a cell surface protein that is overexpressed in different types of cancer. Ectopic overexpression of CD73 in the parental cells resulted in radioresistance and conferred resistance to IR-induced apoptosis. Knockdown of CD73 re-sensitized the radioresistant cells to IR and IR-induced apoptosis. The effect of CD73 on radioresistance and apoptosis is independent of the enzymatic activity of CD73. Further studies demonstrate that CD73 up-regulation promotes Ser-136 phosphorylation of the proapoptotic protein BAD and is required for maintaining the radioresistant cells in a mesenchymal state. Our findings suggest that expression alterations in the IR-selected pancreatic cancer cells result in hyperactivation of the growth factor/cytokine signaling that promotes epithelial-mesenchymal plasticity and enhancement of DNA repair. Our results also suggest that CD73, potentially a novel downstream factor of the enhanced growth factor/cytokine signaling, confers acquired radioresistance by inactivating proapoptotic protein BAD via phosphorylation of BAD at Ser-136 and by maintaining the radioresistant pancreatic cancer cells in a mesenchymal state.

The blue mold fungus, Penicillium expansum, is a postharvest apple pathogen that contributes to food waste by rotting fruit and by producing harmful mycotoxins (e.g. patulin). To identify genes controlling pathogen virulence, a random T-DNA insertional library was created from wild-type P. expansum strain R19. One transformant, T625, had reduced virulence in apples, blistered mycelial hyphae, and a T-DNA insertion that abolished transcription of the single copy locus in which it was inserted. The gene, Blistering1, encodes a protein with a DnaJ domain, but otherwise has little homology outside the Aspergillaceae, a family of fungi known for producing antibiotics, mycotoxins, and cheese. Because protein secretion is critical for these processes and for host infection, mass spectrometry was used to monitor proteins secreted into liquid media during fungal growth. T625 failed to secrete a set of enzymes that degrade plant cell walls, along with ones that synthesize the three final biosynthetic steps of patulin. Consequently, the culture broth of T625 had significantly reduced capacity to degrade apple tissue and contained 30 times less patulin. Quantitative mass spectrometry of 3,282 mycelial proteins revealed that T625 had altered cellular networks controlling protein processing in the endoplasmic reticulum, protein export, vesicle-mediated transport, and endocytosis. T625 also had reduced proteins controlling mRNA surveillance and RNA processing. Transmission electron microscopy of hyphal cross sections confirmed that T625 formed abnormally enlarged endosomes or vacuoles. These data reveal that Blistering1 affects internal and external protein processing involving vesicle-mediated transport in a family of fungi with medical, commercial, and agricultural importance.

The human MASTL (Microtubule-associated serine/threonine kinase-like) gene encodes an essential protein in the cell cycle. MASTL is a key factor preventing early dephosphorylation of M-phase targets of Cdk1/CycB. Little is known about the mechanism of MASTL activation and regulation. MASTL contains a non-conserved insertion of 550 residues within its activation loop, splitting the kinase domain, and making it unique. Here, we show that this non-conserved middle region (NCMR) of the protein is crucial for target specificity and activity. We performed a phosphoproteomic assay with different MASTL constructs identifying key phosphorylation sites for its activation and determining whether they arise from autophosphorylation or exogenous kinases, thus generating an activation model. Hydrogen/deuterium exchange data complements this analysis revealing that the C-lobe in full-length MASTL forms a stable structure, whereas the N-lobe is dynamic and the NCMR and C-tail contain few localized regions with higher-order structure. Our results indicate that truncated versions of MASTL conserving a cryptic C-Lobe in the NCMR, display catalytic activity and different targets, thus establishing a possible link with truncated mutations observed in cancer-related databases.

Aberrantly high mTORC1 signaling is a known driver of many cancers and human disorders, yet pharmacological inhibition of mTORC1 rarely confers durable clinical responses. To explore alternative therapeutic strategies, herein we conducted a proteomics survey to identify cell surface proteins upregulated by mTORC1. A comparison of the surfaceome from Tsc1^–/– versus Tsc1^+/+ mouse embryonic fibroblasts revealed 59 proteins predicted to be significantly overexpressed in Tsc1^–/– cells. Further validation of the data in multiple mouse and human cell lines showed that mTORC1 signaling most dramatically induced the expression of the proteases neprilysin (NEP/CD10) and aminopeptidase N (APN/CD13). Functional studies showed that constitutive mTORC1 signaling sensitized cells to genetic ablation of NEP and APN, as well as the biochemical inhibition of APN. In summary, these data show that mTORC1 signaling plays a significant role in the constitution of the surfaceome, which in turn may present novel therapeutic strategies.

Protein-protein interactions play a vital role in nearly all cellular functions. Hence, understanding their interaction patterns and three-dimensional structural conformations can provide crucial insights about various biological processes and underlying molecular mechanisms for many disease phenotypes. Cross-linking mass spectrometry (XL-MS) has the unique capability to detect protein-protein interactions at a large scale along with spatial constraints between interaction partners. The inception of MS-cleavable cross-linkers enabled the MS2-MS3 XL-MS acquisition strategy that provides cross-link information from both MS2 and MS3 level. However, the current cross-link search algorithm available for MS2-MS3 strategy follows a "MS2-centric" approach and suffers from a high rate of mis-identified cross-links. We demonstrate the problem using two new quality assessment metrics ["fraction of mis-identifications" (FMI) and "fraction of interprotein cross-links from known interactions" (FKI)]. We then address this problem, by designing a novel "MS3-centric" approach for cross-link identification and implementing it as a search engine named MaXLinker. MaXLinker outperforms the currently popular search engine with a lower mis-identification rate, and higher sensitivity and specificity. Moreover, we performed human proteome-wide cross-linking mass spectrometry using K562 cells. Employing MaXLinker, we identified a comprehensive set of 9319 unique cross-links at 1% false discovery rate, comprising 8051 intraprotein and 1268 interprotein cross-links. Finally, we experimentally validated the quality of a large number of novel interactions identified in our study, providing a conclusive evidence for MaXLinker's robust performance.

Mass spectrometry (MS) and proteomics offer comprehensive characterization and identification of microorganisms and discovery of protein biomarkers that are applicable for diagnostics of infectious diseases. The use of biomarkers for diagnostics is widely applied in the clinic and the use of peptide biomarkers is increasingly being investigated for applications in the clinical laboratory. Respiratory-tract infections are a predominant cause for medical treatment, although, clinical assessments and standard clinical laboratory protocols are time-consuming and often inadequate for reliable diagnoses. Novel methods, preferably applied directly to clinical samples, excluding cultivation steps, are needed to improve diagnostics of infectious diseases, provide adequate treatment and reduce the use of antibiotics and associated development of antibiotic resistance. This study applied nano-liquid chromatography (LC) coupled with tandem MS, with a bioinformatics pipeline and an in-house database of curated high-quality reference genome sequences to identify species-unique peptides as potential biomarkers for four bacterial pathogens commonly found in respiratory tract infections (RTIs): Staphylococcus aureus; Moraxella catarrhalis; Haemophilus influenzae and Streptococcus pneumoniae. The species-unique peptides were initially identified in pure cultures of bacterial reference strains, reflecting the genomic variation in the four species and, furthermore, in clinical respiratory tract samples, without prior cultivation, elucidating proteins expressed in clinical conditions of infection. For each of the four bacterial pathogens, the peptide biomarker candidates most predominantly found in clinical samples, are presented. Data are available via ProteomeXchange with identifier PXD014522. As proof-of-principle, the most promising species-unique peptides were applied in targeted tandem MS-analyses of clinical samples and their relevance for identifications of the pathogens, i.e. proteotyping, was validated, thus demonstrating their potential as peptide biomarker candidates for diagnostics of infectious diseases.

The prediction of metastatic properties from molecular analyses still poses a major challenge. Here we aimed at the classification of metastasis-related cell properties by proteome profiling making use of cutaneous and brain-metastasizing variants from single melanomas sharing the same genetic ancestry. Previous experiments demonstrated that cultured cells derived from these xenografted variants maintain a stable phenotype associated with a differential metastatic behavior: The brain metastasizing variants produce more spontaneous micro-metastases than the corresponding cutaneous variants. Four corresponding pairs of cutaneous and metastatic cells were obtained from four individual patients, resulting in eight cell-lines presently investigated. Label free proteome profiling revealed significant differences between corresponding pairs of cutaneous and cerebellar metastases from the same patient. Indeed, each brain metastasizing variant expressed several apparently metastasis-associated proteomic alterations as compared with the corresponding cutaneous variant. Among the differentially expressed proteins we identified cell adhesion molecules, immune regulators, epithelial to mesenchymal transition markers, stem cell markers, redox regulators and cytokines. Similar results were observed regarding eicosanoids, considered relevant for metastasis, such as PGE2 and 12-HETE. Multiparametric morphological analysis of cells also revealed no characteristic alterations associated with the cutaneous and brain metastasis variants. However, no correct classification regarding metastatic potential was yet possible with the present data. We thus concluded that molecular profiling is able to classify cells according to known functional categories but is not yet able to predict relevant cell properties emerging from networks consisting of many interconnected molecules. The presently observed broad diversity of molecular patterns, irrespective of restricting to one tumor type and two main classes of metastasis, highlights the important need to develop meta-analysis strategies to predict cell properties from molecular profiling data. Such base knowledge will greatly support future individualized precision medicine approaches.