With the northeast monsoon over southern China being generally weaker than normal for most of the time in March, the month was much warmer than usual, the Hong Kong Observatory said today.

The monthly mean temperature was 21.3 degrees Celsius, 2.2 degrees above normal and the mean minimum temperature was 19.7 degrees Celsius, 2.5 degrees above average. Both were the joint second highest on record for March.

The monthly mean maximum temperature was 23.8 degrees Celsius, 2.4 degrees above normal and the fifth highest on record for the month.

The month was also drier than usual with a total rainfall of 41.3mm, about half of the normal figure.

The accumulated rainfall recorded in the first three months of the year was 135.9mm, about 16% below average.

Carlos Gustavo T. Moreira, Maria José Pacifico and Sergio Romaña Ibarra
Bull. Amer. Math. Soc. 57 (2018), 269-292.
Abstract, references and article information

Entrepreneur Ricky Chan’s information technology company has been hard at work developing a virtual reality application that enables designers and their clients to walk through different versions of their home or office without having to physically move a single piece of furniture.

From the colour of the walls to the style of fixtures and fittings, Mr Chan’s app caters to all personal tastes and design ideas.

“We have customers who are interior designers or furniture retailers. Our virtual reality application brings their sketches to life. Designers in the past needed weeks to produce sketches. Now they can make designs instantly,” he explained.

Up to 40% of the application was developed at Smart-Space 8 in Tsuen Wan, Cyberport’s first co-working space outside its main Pok Fu Lam campus.

“Cyberport provides funding that helps to lower our expenses and we can hold seminars here with a rental fee that is much lower than the market price,” Mr Chan added.
 

The 20,000 sq ft space launched last year was specifically designed with young entrepreneurs in mind and provides workshops and seminars for startups. For companies that wish to join the Smart-Space 8 community, one of its founders must be aged between 18 and 35 and the company itself should not have been in operation for longer than seven years.

Smart-Space 8 users are entitled to comprehensive entrepreneurial support and value-added services to accelerate their businesses such as the Cyberport Creative Micro Fund and Cyberport Incubation Programme.

Mr Chan, who lives in the New Territories, said the added bonus of setting up shop in Smart-Space 8 is the commute, as Cyberport in Pok Fu Lam is farther away for him and his clients.

Cyberport may be expanding beyond Pok Fu Lam, but some entrepreneurs like agriculture technology company CEO and founder Gordon Tam have opted to stay at the home campus because of the incentives available.

“The business network here is unique. There are so many startups and we encourage and learn from each other.”

Mr Tam’s company sells vegetables from an indoor farm to local supermarkets and is now exploring the overseas market. He credits the vibrant community and ecosystem at Cyberport for building up his business.

“Traditional agriculture comes with a host of problems and the efficiency of Hong Kong’s agriculture industry is relatively low. This is why we are looking into indoor agriculture. We want to grow plants in industrial buildings.”

When Mr Tam joined the Cyberport Incubation Programme, his firm was offered two years of rent reduction. But more importantly, he said, the space is a one-of-a-kind ecosystem where his team can brainstorm ideas and continue to innovate.

Other startup owners share the same sentiment. Information technology company CEO and founder Stark Chan noted that with Cyberport as a public body, it offers a lot of support and rents are more stable.

“We have been here since we first started up. My colleagues are familiar with this environment and the atmosphere is good for innovation,” Mr Chan said.

(Wiley) Heart failure and cancer are conditions with a number of shared characteristics. A new study published in the Journal of Internal Medicine found that in patients with heart failure, several known tumor markers can also be indicators of heart failure severity and progression.

Monthly weather summary in Hong Kong

(American Marketing Association) Nonprofits may better meet their missions by learning to effectively employ the entirety of the marketing mix to attract individuals to available donation opportunities.

(University of British Columbia) Mars had a global magnetic field much earlier -- and much later -- than previously known. Analysis of new satellite data found clear evidence of a magnetic field coming from a lava flow that formed less than 3.7 billion years ago, half a billion years after many people thought the Martian dynamo had ceased. The researchers also detected low-intensity magnetic fields over the Borealis Basin, believed to be one of the oldest features on Mars.

(Stony Brook University) In evolutionary terms, islands are the stuff of weirdness. It is on islands where animals evolve in isolation, often for millions of years, with different food sources, competitors, predators, and parasites...indeed, different everything compared to mainland species. As a result, they develop into different shapes and sizes and evolve into new species that, given enough time, spawn yet more new species.

(Purdue University) Researchers at Purdue University have discovered that male treefrogs reduce their attractiveness to predators and parasites by overlapping their mating calls with their neighbors.

(National Institute of Standards and Technology (NIST)) Researchers will soon have access to the full genomic sequences for 23 marine mammal species preserved by the National Institute of Standards and Technology (NIST), thanks to an ongoing collaboration between NIST and a scientific consortium called the DNA Zoo.

(University of Bath) Researchers at the University of Bath have developed an AI model that can automatically classify underwater environments directly from sonar measurements.

Current regulations do not effectively prevent potentially misleading claims, says Imperial scientists

Sharlene Emerson
Apr 1, 2006; 19:79-83
Articles

A practical joke gone too far caused a St Mary resident, Byron Wilson, to burst into tears after he received a phone call from one of his mischievous friends telling him that he may be a carrier of the novel coronavirus. "A dead mi dead right...

3 October 2019

Adriaan Sticker
Apr 22, 2020; 0:RA119.001624v1-mcp.RA119.001624
Research

With the number of violent conflicts increasing, there is a worldwide need to respond more effectively. Dialogue and mediation are proven to be effective in preventing and resolving conflicts, which are often complex, political and frequently-changing.

Invitation Only Research Event

14 January 2020

Research Event

Event participants

Ahmed Tabaqchali, Chief Investment Officer, Asia Frontier Capital Iraq Fund; Adjunct Assistant Professor, American University of Iraq Sulaimani
Moderator: Renad Mansour, Senior Research Fellow, Middle East and North Africa Programme, Chatham House

Objective: To investigate the lesion detection rate of ¹⁸F-DCFPyL-PET/CT, a prostate-specific membrane antigen (PSMA) targeted PET agent, in biochemical relapse prostate cancer patients after primary local therapy. Methods: This is a prospective institutional review board-approved study of 90 patients with documented biochemical recurrence (median PSA 2.5 ng/mL, range 0.21-35.5 ng/mL) with negative conventional imaging after primary local therapies, including radical prostatectomy (n = 38), radiation (n = 27) or combination (n = 25). Patients on androgen deprivation therapy were excluded. Patients underwent whole-body ¹⁸F-DCFPyL-PET/CT (299.9±15.5 MBq) at 2 h p.i. PSMA-PET lesion detection rate was correlated with PSA, PSA kinetics and original primary tumor grade. Results: Seventy patients (77.8%) showed a positive PSMA-PET scan, identifying a total of 287 lesions: 37 prostate bed foci, 208 lymph nodes, and 42 bone/organ distant sites; 11 patients had a negative scan and 9 patients showed indeterminate lesions, which were considered negative in this study. The detection rates were 47.6% (n = 10/21), 50% (n = 5/10), 88.9% (n = 8/9), and 94% (n = 47/50) for PSA >0.2 to <0.5, 0.5 to <1.0, 1 to <2.0, and ≥2.0 ng/mL, respectively. In post-surgical patients, PSA, PSAdt and PSAvel correlated with PET results but the same was not true for post-radiation patients. These parameters also correlated with the extent of disease on PET (intrapelvic vs. extrapelvic). There was no significant difference between the rate of positive scans in patients with higher grade vs lower grade primary tumors (Gleason score ≥4+3 vs <3+4). Tumor recurrence was histology confirmed in 40% (28/70) of patients. On a per-patient basis, positive predictive value was 93.3% (95% CI, 77.6-99.2%) by histopathologic validation, and 96.2% (95% CI, 86.3-99.7%) by the combination of histology and imaging/clinical follow-up. Conclusion: ¹⁸F-DCFPyL-PET/CT imaging offers high detection rates in biochemically recurrent prostate cancer patients; and is positive in about 50% of patients with PSA <0.5 ng/mL, which could substantially impact clinical management. In post-surgical patients, ¹⁸F-DCFPyL-PET/CT correlates with PSA, PSAdt and PSAvel suggesting it may have prognostic value. ¹⁸F-DCFPyL-PET/CT is highly promising for localizing sites of recurrent prostate cancer.

⁶⁸Ga-DOTATOC-PET/MRI (⁶⁸Gallium-DOTATOC-positron emission tomography/magnetic resonance imaging) combines the advantages of PET in the acquisition of metabolic-functional information with the high soft tissue contrast of MRI. Standardized uptake values (SUV) in tumors were suggested as a measure of somatostatin receptor expression. A challenge with receptor ligands is, that the distribution volume is confined to tissues with tracer-uptake, potentially limiting SUV quantification. In this study, different functional, three-dimensional (3D) SUV, apparent diffusion coefficient (ADC) parameters and arterial tumor enhancement were tested for the characterization of gastroendopancreatic neuroendocrine tumors (GEP-NET). Methods: For this single-center, cross-sectional study, 22 patients with 24 histologically confirmed GEP-NET lesions (15 men/7 women; median, 61 years, range, 43-81 years), who received hybrid ⁶⁸Ga-DOTA-PET/MRI examinations at 3T between January 2017 and July 2019 met eligibility criteria. SUVs, tumor-to-background ratios (TBR), the total functional tumor volume (TFTV), ADCmean and ADCmin were measured based on volumes of interest (VOI) and examined with receiver operating characteristic analysis to determine cut-off values for differentiation between low and intermediate grade GEP-NET. Spearman’s rank correlation coefficients were used to assess correlations between functional imaging parameters. Results: The ratio of PET-derived SUVmean and diffusion-weighted imaging (DWI)-derived ADCmin was introduced as a combined variable to predict tumor grade, outperforming single predictors. Based on a threshold ratio of 0.03 to be exceeded, tumors could be classified as grade 2 with a sensitivity of 86% and specificity of 100%. SUV and functional ADC values as well as arterial contrast enhancement parameters showed non-significant and mostly negligible correlations. Conclusion: As receptor density and tumor cellularity appear to be independent, potentially complementary phenomena, the combined PET/MRI ratio SUVmean/ADCmin may be used as a novel biomarker, allowing to differentiate between grade 1 and 2 GEP-NET.

Objective: To develop a novel approach to generate individual maps of white matter (WM) innate immune cell activation using ¹⁸F-DPA-714 translocator protein (TSPO) positron emission tomography (PET), and to explore the relationship between these maps and individual trajectories of disability worsening in patients with multiple sclerosis (MS). Methods: Patients with MS (n = 37), whose trajectories of disability worsening over the 2 years preceding study entry were calculated, and healthy controls (n = 19) underwent magnetic resonance magnetic and ¹⁸F-DPA-714 PET. A threshold of significant activation of ¹⁸F-DPA-714 binding was calculated with a voxel-wise randomized permutation-based comparison between patients and controls, and used to classify each WM voxel in patients as characterized by a significant activation of innate immune cells (DPA+) or not. Individual maps of innate immune cell activation in the WM were employed to calculate the extent of activation in WM regions-of-interests and to classify each WM lesion as "DPA-active", "DPA-inactive" or "unclassified". Results: Compared with the WM of healthy controls, patients with MS had a significantly higher percentage of DPA+ voxels in the normal-appearing WM, (NAWM in patients=24.9±9.7%; WM in controls=14.0±7.8%, p<0.001). In patients with MS, the percentage of DPA+ voxels showed a significant increase from NAWM, to perilesional areas, T2 hyperintense lesions and T1 hypointense lesions (38.1±13.5%, 45.0±17.9%, and 51.9±22.9%, respectively, p<0.001). Among the 1379 T2 lesions identified, 512 were defined as DPA-active and 258 as DPA-inactive. A higher number of lesions classified as DPA-active (OR=1.13, P = 0.009), a higher percentage of DPA+ voxels in the NAWM (OR=1.16, P = 0.009) and in T1-spin-echo lesions (OR=1.06, P = 0.036), were significantly associated with a retrospective more severe clinical trajectory in patients with MS. Conclusion: A more severe trajectory of disability worsening in MS is associated with an innate immune cells activation inside and around WM lesions. ¹⁸F-DPA-714 PET may provide a promising biomarker to identify patients at risk of severe clinical trajectory.

Acidosis is a key driver for many diseases, including cancer, sepsis, and stroke. The spatiotemporal dynamics of dysregulated pH across disease remains elusive and current diagnostic strategies do not provide localization of pH alterations. We sought to explore if PET imaging using hydrophobic cyclic peptides that partition into the cellular membrane at low extracellular pH (denoted as "pHLIC") can permit accurate in vivo visualization of acidosis. Methods: Acid-sensitive cyclic peptide c[E4W5C] pHLIC was conjugated to bifunctional maleimide-NO2A and radiolabeled with copper-64 (t1/2 = 12.7 h). C57BL/6J mice were administered LPS (15 mg/kg) or saline (vehicle) and serially imaged with [⁶⁴Cu]Cu-c[E4W5C] over 24 h. Ex vivo autoradiography was performed on resected brain slices and subsequently stained with cresyl violet to enable high-resolution spatial analysis of tracer accumulation. A non- pH-sensitive cell-penetrating control peptide (c[R4W5C]) was used to confirm specificity of [⁶⁴Cu]Cu-c[E4W5C]. CD11b (macrophage/microglia) and TMEM119 (microglia) immunostaining was performed to correlate extent of neuroinflammation with [⁶⁴Cu]Cu-c[E4W5C] PET signal. Results: [⁶⁴Cu]Cu-c[E4W5C] radiochemical yield and purity was >95% and >99% respectively, with molar activity >0.925 MBq/nmol. Significantly increased [⁶⁴Cu]Cu-c[E4W5C] uptake was observed in LPS-treated mice (vs. vehicle) within peripheral tissues including blood, lungs, liver, and small intestines (P < 0.001-0.05). Additionally, there was significantly increased [⁶⁴Cu]Cu-c[E4W5C] uptake in the brains of LPS-treated animals. Autoradiography confirmed increased uptake in the cerebellum, cortex, hippocampus, striatum, and hypothalamus of LPS-treated mice (vs. vehicle). Immunohistochemical (IHC) analysis revealed microglial/macrophage infiltrate, suggesting activation in brain regions containing increased tracer uptake. [⁶⁴Cu]Cu-c[R4W5C] demonstrated significantly reduced uptake in the brain and periphery of LPS mice compared to the acid-mediated [⁶⁴Cu]Cu-c[E4W5C] tracer. Conclusion: Here, we demonstrate that a pH-sensitive PET tracer specifically detects acidosis in regions associated with sepsis-driven pro-inflammatory responses. This study suggests that [⁶⁴Cu]Cu-pHLIC is a valuable tool to noninvasively assess acidosis associated with both central and peripheral innate immune activation.

Objective: To assess the feasibility and accuracy of Cerenkov Luminescence Imaging (CLI) for assessment of surgical margins intraoperatively during radical prostatectomy (RPE). Methods: A single centre feasibility study included 10 patients with high-risk primary prostate cancer (PC). ⁶⁸Ga-PSMA PET/CT scans were performed followed by RPE and intraoperative CLI of the excised prostate. In addition to imaging the intact prostate, in the first two patients the prostate gland was incised and imaged with CLI to visualise the primary tumour. We compared the tumour margin status on CLI to postoperative histopathology. Measured CLI intensities were determined as tumour to background ratio (TBR). Results: Tumour cells were successfully detected on the incised prostate CLI images as confirmed by histopathology. 3 of 10 men had histopathological positive surgical margins (PSMs), and 2 of 3 PSMs were accurately detected on CLI. Overall, 25 (72%) out of 35 regions of interest (ROIs) proved to visualize a tumour signal according to standard histopathology. The median tumour radiance in these areas was 11301 photons/s/cm²/sr (range 3328 - 25428 photons/s/cm²/sr) and median TBR was 4.2 (range 2.1 – 11.6). False positive signals were seen mainly at the prostate base with PC cells overlaid by benign tissue. PSMA-immunohistochemistry (PSMA-IHC) revealed strong PSMA staining of benign gland tissue, which impacts measured activities. Conclusion: This feasibility showed that ⁶⁸Ga-PSMA CLI is a new intraoperative imaging technique capable of imaging the entire specimen’s surface to detect PC tissue at the resection margin. Further optimisation of the CLI protocol, or the use of lower-energetic imaging tracers such as ¹⁸F-PSMA, are required to reduce false positives. A larger study will be performed to assess diagnostic performance.

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.

FcRIIIa (CD16a) and FcRIIa (CD32a) on monocytes are essential for proper effector functions including antibody dependent cellular cytotoxicity (ADCC) and phagocytosis (ADCP). Indeed, therapeutic monoclonal antibodies (mAbs) that bind FcRs with greater affinity exhibit greater efficacy. Furthermore, post-translational modification impacts antibody binding affinity, most notably the composition of the asparagine(N)-linked glycan at N162 of CD16a. CD16a is widely recognized as the key receptor for the monocyte response, however the post-translational modifications of CD16a from endogenous monocytes are not described. Here we isolated monocytes from individual donors and characterized the composition of CD16a and CD32a N-glycans from all modified sites. The composition of CD16a N-glycans varied by glycosylation site and donor. CD16a displayed primarily complex-type biantennary N-glycans at N162, however some individuals expressed CD16a V158 with ~20% hybrid and oligomannose types which increased affinity for IgG1 Fc according to surface plasmon resonance binding analyses. The CD16a N45-glycans contain markedly less processing than other sites with >75% hybrid and oligomannose forms. N38 and N74 of CD16a both contain highly processed complex-type N-glycans with N-acetyllactosamine repeats and complex-type biantennary N-glycans dominate at N169. The composition of CD16a N-glycans isolated from monocytes included a higher proportion of oligomannose-type N-glycans at N45 and less sialylation plus greater branch fucosylation than we observed in a recent analysis of NK cell CD16a. The additional analysis of CD32a from monocytes revealed different features than observed for CD16a including the presence of a predominantly biantennary complex-type N-glycans with two sialic acids at both sites (N64 and N145).

The use of protein biomarkers as surrogates for clinical endpoints requires extensive multilevel validation including development of robust and sensitive assays for precise measurement of protein concentration. Multiple reaction monitoring (MRM) is a well-established mass-spectrometric method that can be used for reproducible protein-concentration measurements in biological specimens collected via microsampling. The dried blood spot (DBS) microsampling technique can be performed non-invasively without the expertise of a phlebotomist, and can enhance analyte stability which facilitate the application of this technique in retrospective studies while providing lower storage and shipping costs, because cold-chain logistics can be eliminated. Thus, precise, sensitive, and multiplexed methods for measuring protein concentrations in DBSs can be used for de novo biomarker discovery and for biomarker quantification or verification experiments. To achieve this goal, MRM assays were developed for multiplexed concentration measurement of proteins in DBSs.

The lower limit of quantification (LLOQ) was found to have a median total coefficient of variation (CV) of 18% for 245 proteins, whereas the median LLOQ was 5 fmol of peptide injected on column, and the median inter-day CV over 4 days for measuring endogenous protein concentration was 8%. The majority (88%) of the assays displayed parallelism, whereas the peptide standards remained stable throughout the assay workflow and after exposure to multiple freeze-thaw cycles. For 190 proteins, the measured protein concentrations remained stable in DBS stored at ambient laboratory temperature for up to 2 months. Finally, the developed assays were used to measure the concentration ranges for 200 proteins in twenty same sex, same race and age matched individuals.

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.

Lung cancer (LC) remains the leading cause of mortality from malignant tumors worldwide. In our previous study, we surveyed both IgG and IgM-bound serological biomarkers and validated a panel of IgG-bound autoantigens for early LC diagnosis with 50% sensitivity at 90% specificity. To further improve the performance of these serological biomarkers, we surveyed HuProt arrays, comprised of 20,240 human proteins, for IgA-bound autoantigens because IgAs are a major immunoglobulin isotype in the lung. Integrating with IgG-bound autoantigens, we discovered and validated a combined biomarker panel using ELISA-format tests. Specifically, in Phase I, we obtained IgA-based autoimmune profiles of 69 early stage LC patients, 30 healthy subjects and 25 patients with lung benign lesions (LBL) on HuProt arrays and identified 28 proteins as candidate autoantigens that were significantly associated with early stage LC. In Phase II, we re-purified the autoantigens and converted them into an ELISA-format testing to profile an additional large cohort, comprised of 136 early stage LC patients, 58 healthy individuals, and 29 LBL patients. Integration of IgG autoimmune profiles allowed us to identify and validate a biomarker panel of three IgA autoantigens (i.e. BCL7A, and TRIM33 and MTERF4) and three IgG autoantigens (i.e. CTAG1A, DDX4 and MAGEC2) for diagnosis of early stage LC with 73.5% sensitivity at >85% specificity. In Phase III, the performance of this biomarker panel was confirmed with an independent cohort, comprised of 88 early stage LC patients, 18 LBL patients, and 36 healthy subjects. Finally, a blind test on 178 serum samples was conducted to confirm the performance of the biomarker panel. In summary, this study demonstrates for the first time that an integrated panel of IgA/IgG autoantigens can serve as valuable biomarkers to further improve the performance of early diagnosis of LC.

Phosphoglycerate kinase 1 (PGK1) plays important roles in glycolysis, yet its forward reaction kinetics are unknown, and its role especially in regulating cancer cell glycolysis is unclear. Here, we developed an enzyme assay to measure the kinetic parameters of the PGK1-catalyzed forward reaction. The Km values for 1,3-bisphosphoglyceric acid (1,3-BPG, the forward reaction substrate) were 4.36 μm (yeast PGK1) and 6.86 μm (human PKG1). The Km values for 3-phosphoglycerate (3-PG, the reverse reaction substrate and a serine precursor) were 146 μm (yeast PGK1) and 186 μm (human PGK1). The Vmax of the forward reaction was about 3.5- and 5.8-fold higher than that of the reverse reaction for the human and yeast enzymes, respectively. Consistently, the intracellular steady-state concentrations of 3-PG were between 180 and 550 μm in cancer cells, providing a basis for glycolysis to shuttle 3-PG to the serine synthesis pathway. Using siRNA-mediated PGK1-specific knockdown in five cancer cell lines derived from different tissues, along with titration of PGK1 in a cell-free glycolysis system, we found that the perturbation of PGK1 had no effect or only marginal effects on the glucose consumption and lactate generation. The PGK1 knockdown increased the concentrations of fructose 1,6-bisphosphate, dihydroxyacetone phosphate, glyceraldehyde 3-phosphate, and 1,3-BPG in nearly equal proportions, controlled by the kinetic and thermodynamic states of glycolysis. We conclude that perturbation of PGK1 in cancer cells insignificantly affects the conversion of glucose to lactate in glycolysis.

Invitation Only Research Event

Event participants

Professor Robert Shiller, Sterling Professor of Economics, Yale University
Chair: Marianne Schneider-Petsinger, Research Fellow, US and the Americas Programme Chatham House

8 October 2019

Sandi M. Azab
Mar 31, 2020; 0:jlr.D120000630v1-jlr.D120000630
Methods