Expanding and enhancing the global cyber workforce 17 November 2022 — 5:00PM TO 6:00PM Anonymous (not verified) 5 October 2022 Chatham House and Online

How can we address the cybersecurity workforce shortage and skills gap?

Accelerated digital transformation and heightened geopolitical tensions on the international stage have increased the need for effective cybersecurity practices and policies as well as a skilled workforce. Despite this, the demand for cybersecurity professionals continues to outpace the supply for societies and businesses globally, resulting in a cybersecurity workforce gap.

To ensure that digital transformation is available, safe and beneficial to all, significant efforts are needed to encourage cyber workforce capacity-building and knowledge-sharing at both national and international levels.

This discussion, supported by (ISC)² and the UK Cyber Security Council, will explore how to effectively address the twin challenges of the global cyber workforce shortage and skills gap.

• What are the implications of the global cyber workforce and skills gaps for businesses and societies?

• What shape do these gaps take within society? Where are they most prevalent and how do they vary?

• What is the role of education and private-public partnerships in effectively addressing these gaps?

• How does the UK National Cyber Strategy seek to address these challenges? What are the key lessons from this strategy?

• What other efforts are being made internationally to bridge this gap? What opportunities are there for knowledge-sharing and capacity-building?

• What is the role of diversity, equity and inclusion in tackling these gaps?

As with all members events, questions from the audience drive the conversation. If you are not a member of Chatham House but would still like to attend the event please email Eleanor Macmillan-Fox to enquire about registration.

Read the transcript. 

Our purpose was to prospectively assess the distribution of NETPET scores in well-differentiated (WD) grade 2 and 3 gastroenteropancreatic (GEP) neuroendocrine tumors (NETs) and to determine the impact of the NETPET score on clinical management. Methods: This single-arm, institutional ethics review board–approved prospective study included 40 patients with histologically proven WD GEP NETs. ⁶⁸Ga-DOTATATE PET and ¹⁸F-FDG PET were performed within 21 d of each other. NETPET scores were evaluated qualitatively by 2 reviewers, with up to 10 marker lesions selected for each patient. The quantitative parameters that were evaluated included marker lesion SUV_max for each tracer; ¹⁸F-FDG/⁶⁸Ga-DOTATATE SUV_max ratios; functional tumor volume (FTV) and metabolic tumor volume (MTV) on ⁶⁸Ga-DOTATATE and ¹⁸F-FDG PET, respectively; and FTV/MTV ratios. The treatment plan before and after ¹⁸F-FDG PET was recorded. Results: There were 22 men and 18 women (mean age, 60.8 y) with grade 2 (n = 24) or grade 3 (n = 16) tumors and a mean Ki-67 index of 16.1%. NETPET scores of P0, P1, P2A, P2B, P3B, P4B, and P5 were documented in 2 (5%), 5 (12.5%), 5 (12.5%) 20 (50%), 2 (5%), 4 (10%), and 2 (5%) patients, respectively. No association was found between the SUV_max of target lesions on ⁶⁸Ga-DOTATATE and the SUV_max of target lesions on ¹⁸F-FDG PET (P = 0.505). ¹⁸F-FDG/⁶⁸Ga-DOTATATE SUV_max ratios were significantly lower for patients with low (P1–P2) primary NETPET scores than for those with high (P3–P5) primary NETPET scores (mean ± SD, 0.20 ± 0.13 and 1.68 ± 1.44, respectively; P < 0.001). MTV on ¹⁸F-FDG PET was significantly lower for low primary NETPET scores than for high ones (mean ± SD, 464 ± 601 cm³ and 66 ± 114 cm³, respectively; P = 0.005). A change in the type of management was observed in 42.5% of patients after ¹⁸F-FDG PET, with the most common being a change from systemic therapy to peptide receptor radionuclide therapy and from debulking surgery to systemic therapy. Conclusion: There was a heterogeneous distribution of NETPET scores in patients with WD grade 2 and 3 GEP NETs, with more than 1 in 5 patients having a high NETPET score and a frequent change in management after ¹⁸F-FDG PET. Quantitative parameters including ¹⁸F-FDG/⁶⁸Ga-DOTATATE SUV_max ratios in target lesions and FTV/MTV ratios can discriminate between patients with high and low NETPET scores.

Our objective is to explore quantitative imaging markers for early prediction of treatment response in patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs) undergoing [¹⁷⁷Lu]Lu-DOTATATE therapy. By doing so, we aim to enable timely switching to more effective therapies in order to prevent time-resource waste and minimize toxicities. Methods: Patients diagnosed with unresectable or metastatic, progressive, well-differentiated, receptor-positive GEP-NETs who received 4 sessions of [¹⁷⁷Lu]Lu-DOTATATE were retrospectively selected. Using SPECT/CT images taken at the end of treatment sessions, we counted all visible tumors and measured their largest diameters to calculate the tumor burden score (TBS). Up to 4 target lesions were selected and semiautomatically segmented. Target lesion peak counts and spleen peak counts were measured, and normalized peak counts were calculated. Changes in TBS (TBS) and changes in normalized peak count (nPC) throughout treatment sessions in relation to the first treatment session were calculated. Treatment responses were evaluated using third-month CT and were binarized as progressive disease (PD) or non-PD. Results: Twenty-seven patients were included (7 PD, 20 non-PD). Significant differences were observed in TBS_second-first, TBS_third-first, and TBS_fourth-first (where second-first, third-first, and fourth-first denote scan number between the second and first, third and first, and fourth and first [¹⁷⁷Lu]Lu-DOTATATE treatment cycles), respectively) between the PD and non-PD groups (median, 0.043 vs. –0.049, 0.08 vs. –0.116, and 0.109 vs. –0.123 [P = 0.023, P = 0.002, and P < 0.001], respectively). nPC_second-first showed significant group differences (mean, –0.107 vs. –0.282; P = 0.033); nPC_third-first and nPC_fourth-first did not reach statistical significance (mean, –0.122 vs. –0.312 and –0.183 vs. –0.405 [P = 0.117 and 0.067], respectively). At the optimal threshold, TBS_fourth-first exhibited an area under the curve (AUC) of 0.957, achieving 100% sensitivity and 80% specificity. TBS_second-first and TBS_third-first reached AUCs of 0.793 and 0.893, sensitivities of 71.4%, and specificities of 85% and 95%, respectively. nPC_second-first, nPC_third-first, and nPC_fourth-first showed AUCs of 0.764, 0.693, and 0.679; sensitivities of 71.4%, 71.4%, and 100%; and specificities of 75%, 70%, and 35%, respectively. Conclusion: TBS and nPC can predict [¹⁷⁷Lu]Lu-DOTATATE response by the second treatment session.

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