Envisioning Academic Global Oncologists: Proposed Competencies for Global Oncology Training From ASCO.

Recognizing the rising incidence, prevalence, and mortality of cancer in low- and middle-resource settings, as well as the increasingly international profile of its membership, ASCO has committed to expanding its engagement at a global level. In 2017, the ASCO Academic Global Oncology Task Force sought to define the potential role for ASCO in supporting global oncology as an academic field. A set of recommendations to advance the status of global oncology as an academic discipline were created through a consensus-based process involving participation by a diverse group of global oncology and global health practitioners; these recommendations were then published. The recommendations included developing a set of global oncology competencies for trainees and faculty interested in a career in academic global oncology. Here, we describe the global oncology competencies developed by this task force. These competencies consist of knowledge and skills needed in general global health as well as cancer-specific care and research, including understanding global cancer health disparities, defining unique resources and needs in low- and middle-resource settings, and promoting international collaboration. Although the competencies were originally developed for US training programs, they are intended to be widely applicable globally. By formalizing the training of oncologists and supporting career pathways in the field of global oncology, we can make progress in achieving global equity in cancer care and control.

Disparities in Electronic Cigarette Use: A Narrative Review.

The prevalence of electronic cigarette use has been declared an epidemic by the U.S. Surgeon General in 2018, particularly among youth aged 18-24 years old. Little is known about the differential use of e-cigarettes by different groups. PubMed, Cochrane, and Google Scholar were used to find relevant articles. A total of 77 articles were included. The extant literature reveals disparities in e-cigarette use by race/ethnicity and sexuality/gender. There are conflicting conclusions regarding disparities by socioeconomic status.

Avanzando Caminos (Leading Pathways): Design and Procedures of The Hispanic/Latino Cancer Survivorship Study.

PURPOSE: Avanzando Caminos (Leading Pathways): The Hispanic/Latino Cancer Survivorship Cohort Study aims to examine the influence of sociocultural, medical, stress, psychosocial, lifestyle, behavioral, and biological factors on symptom burden, health-related quality of life, and clinical outcomes among Hispanics/Latinos who have been previously treated for cancer. METHODS: Avanzando Caminos is a prospective, cohort-based study of 3,000 Hispanics/Latinos who completed primary cancer treatment within the past five years that is representative of the general Hispanic/Latino population in the U.S. Participants will complete self-report measures at baseline (T1), 6 months (T2), 1 year (T3), 2 years (T4), 3 years (T5), 4 years (T6), and 5 years (T7). Blood draws to assess leukocyte gene expression, cardiometabolic markers, and genetic admixture will be collected at baseline (T1), 1 year (T3), 3 years (T5), and 5 years (T7). Medical and cancer characteristics and clinical outcomes will be extracted from the electronic medical record and/or state cancer registry at each time point. Data analysis will include general latent variable modeling and latent growth modeling. CONCLUSIONS: Avanzando Caminos will fill critical gaps in knowledge to guide future secondary and tertiary prevention efforts to mitigate cancer disparities and optimize health-related quality of life among Hispanic/Latino cancer survivors.

The Genomic, Transcriptomic, and Immunologic Landscape of HRAS Mutations in Solid Tumors.

Tipifarnib is the only targeted therapy breakthrough for HRAS-mutant (HRASmt) recurrent or metastatic head and neck squamous cell carcinoma (HNSCC). The molecular profiles of HRASmt cancers are difficult to explore given the low frequency of HRASmt. This study aims to understand the molecular co-alterations, immune profiles, and clinical outcomes of 524 HRASmt solid tumors including urothelial carcinoma (UC), breast cancer (BC), non-small-cell lung cancer (NSCLC), melanoma, and HNSCC. HRASmt was most common in UC (3.0%), followed by HNSCC (2.82%), melanoma (1.05%), BC (0.45%), and NSCLC (0.44%). HRASmt was absent in Her2+ BC regardless of hormone receptor status. HRASmt was more frequently associated with squamous compared to non-squamous NSCLC (60% vs. 40% in HRASwt, p = 0.002). The tumor microenvironment (TME) of HRASmt demonstrated increased M1 macrophages in triple-negative BC (TNBC), HNSCC, squamous NSCLC, and UC; increased M2 macrophages in TNBC; and increased CD8+ T-cells in HNSCC (all p < 0.05). Finally, HRASmt was associated with shorter overall survival in HNSCC (HR: 1.564, CI: 1.16-2.11, p = 0.003) but not in the other cancer types examined. In conclusion, this study provides new insights into the unique molecular profiles of HRASmt tumors that may help to identify new targets and guide future clinical trial design.

Influence of TP53 Comutation on the Tumor Immune Microenvironment and Clinical Outcomes With Immune Checkpoint Inhibitors in STK11-Mutant Non-Small-Cell Lung Cancer.

PURPOSE: Non-small-cell lung cancer (NSCLC) with STK11mut has inferior outcomes to immune checkpoint inhibitors (ICIs). Using multiomics, we evaluated whether a subtype of STK11mut NSCLC with a uniquely inflamed tumor immune microenvironment (TIME) harboring TP53 comutations could have favorable outcomes to ICIs. PATIENTS AND METHODS: NSCLC tumors (N = 16,896) were analyzed by next-generation sequencing (DNA-Seq/592 genes). A subset (n = 5,034) underwent gene expression profiling (RNA-Seq/whole transcriptome). Exome-level neoantigen load for STK11mut NSCLC was obtained from published pan-immune analysis. Tumor immune cell content was obtained from transcriptome profiles using the microenvironment cell population (MCP) counter. ICI data from POPLAR/OAK (n = 34) and the study by Rizvi et al (n = 49) were used to model progression-free survival (PFS), and a separate ICI-treated cohort (n = 53) from Dana-Farber Cancer Institute (DFCI) was used to assess time to treatment failure (TTF) and tumor RECIST response for STK11mutTP53mut versus STK11mutTP53wt NSCLC. RESULTS: Overall, 12.6% of NSCLC tumors had a STK11mut with the proportions of tumor mutational burden (TMB)-high (≥10 mut/Mb), PD-L1 ≥50%, and microsatellite instability-high being 38.3%, 11.8%, and 0.72%, respectively. Unsupervised hierarchical clustering of STK11mut (n = 463) for stimulator of interferon-gamma (STING) pathway genes identified a STING-high cluster, which was significantly enriched in TP53mut NSCLC (P < .01). Compared with STK11mutTP53wt, tumors with STK11mutTP53mut had higher CD8+T cells and natural killer cells (P < .01), higher TMB (P < .001) and neoantigen load (P < .001), and increased expression of MYC and HIF-1A (P < .01), along with higher expression (P < .01) of glycolysis/glutamine metabolism genes. Meta-analysis of data from OAK/POPLAR and the study by Rizvi et al showed a trend toward improved PFS in patients with STK11mutTP53mut. In the DFCI cohort, compared with the STK11mut TP53wt cohort, the STK11mutTP53mut tumors had higher objective response rates (42.9% v 16.7%; P = .04) and also had longer TTF (14.5 v 4.5 months, P adj = .054) with ICI. CONCLUSION: STK11mut NSCLC with TP53 comutation is a distinct subgroup with an immunologically active TIME and metabolic reprogramming. These properties should be exploited to guide patient selection for novel ICI-based combination approaches.

Does metformin reduce the risk of cancer in obesity and diabetes? A systematic review and meta-analysis.

AIM: To evaluate the effect of metformin on cancer incidence in subjects with overweight/obesity and/or prediabetes/diabetes. MATERIALS AND METHODS: We searched MEDLINE, Embase and CENTRAL for randomized controlled trials (RCTs) in adults with overweight/obesity and/or prediabetes/diabetes that compared metformin to other interventions for ≥24 weeks. Independent reviewers selected and extracted data including population and intervention characteristics and new diagnoses of cancer. We used the RoB 2.0 risk-of-bias tool and the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) framework to assess risk of bias and certainty of evidence. RESULTS: From 14 895 records after removal of duplicates, 27 trials were included, providing a total of 10 717 subjects in the metformin group and 10 003 in the control group, with 170 and 208 new cases of cancer, respectively. Using a random-effects model, the relative risk was 1.07 (95% confidence interval 0.87-1.31), with similar results in subgroup analyses by study duration or effect of control intervention on weight. Risk of bias in most studies was low, and no evidence of publication bias was found. Trial sequential analysis provided evidence that the cumulative sample size was large enough to exclude a significant effect of metformin on cancer incidence. CONCLUSIONS: Metformin did not reduce cancer incidence in RCTs involving subjects with overweight/obesity and/or prediabetes/diabetes.

Trends and Disparities in Curative-Intent Treatment for Early-Stage Non-Small Cell Lung Cancer: A Population-Based Analysis of Surgery and SBRT.

BACKGROUND: Despite the increasing adoption of stereotactic body radiotherapy (SBRT) as a recommended alternative for early-stage non-small cell lung cancer (NSCLC), population-based research on racial/ethnic disparities in curative-intent treatment accounting for SBRT remains limited. This study investigated trends and disparities in receiving curative-intent surgery and/or SBRT in a diverse, retrospective cohort. METHODS: Early-stage NSCLC cases (2005-2017) from the Florida cancer registry were linked to individual-level statewide discharge data containing comorbidities and specific treatment information. Joinpoint regression assessed trends in treatment receipt. Multivariable logistic regression examined associations between race/ethnicity and treatment type. RESULTS: Among 64,999 patients with early-stage NSCLC, 71.6% received curative-intent treatment (surgery and/or SBRT): 73.1%, 72.4%, and 60.3% among Hispanic, White, and Black patients, respectively (P < 0.01). SBRT use increased steeply from 2005 to 2007 and then by 7.9% annually from 2007 to 2017 (P < 0.01); curative-intent surgery remained stable from 2005 to 2014 before declining by 6.2% annually during 2014-2017 (P = 0.04). The Black-White disparity in receipt of curative-intent treatment was significant [ORadj, 0.65; 95% confidence interval (CI), 0.60-0.71]. Patients with Charlson comorbidity index (CCI)≥3 had 36% (ORadj, 0.64; 95% CI, 0.60-0.69) lower odds of receiving curative-intent surgery and no significant difference for SBRT (ORadj, 1.06; 95% CI, 0.93-1.20) compared with CCI = 0. CONCLUSIONS: Racial disparities in receiving curative-intent treatment for early-stage NSCLC persist despite the availability of SBRT, suggesting the full potential of curative-intent treatment for early-stage NSCLC remains unachieved. IMPACT: Addressing disparities in early-stage NSCLC requires addressing differential treatment patterns and enhancing accessibility to treatments like underutilized SBRT, particularly for high-comorbidity populations such as Black patients.

BIPOC experiences of (anti-)racist patient engagement in adolescent and young adult oncology research: an electronic Delphi study.

Aims: To characterize Black, Indigenous and People of Color (BIPOC) adolescent and young adult (AYA) cancer patients' experiences of patient engagement in AYA oncology and derive best practices that are co-developed by BIPOC AYAs and oncology professionals. Materials & methods: Following a previous call to action from AYA oncology professionals, a panel of experts composed exclusively of BIPOC AYA cancer patients (n = 32) participated in an electronic Delphi study. Results: Emergent themes described BIPOC AYA cancer patients' direct experiences and consensus opinion on recommendations to advance antiracist patient engagement from BIPOC AYA cancer patients and oncology professionals. Conclusion: The findings reveal high-priority practices across all phases of research and are instructional for advancing health equity.

Time to Cancer Treatment and Chemotherapy Relative Dose Intensity for Patients With Breast Cancer Living With HIV.

Importance: Patients with breast cancer and comorbid HIV experience higher mortality than other patients with breast cancer. Objective: To compare time to cancer treatment initiation and relative dose intensity (RDI) of neoadjuvant and adjuvant chemotherapy among patients with breast cancer with vs without HIV. Design, Setting, and Participants: A retrospective, matched cohort study enrolled women who received a diagnosis of breast cancer from January 1, 2000, through December 31, 2018. The electronic medical records of 3 urban, academic cancer centers were searched for women with confirmed HIV infection prior to or simultaneous with diagnosis of stage I to III breast cancer. Tumor registry data were used to identify 2 control patients with breast cancer without HIV for each participant with HIV, matching for study site, stage, and year of cancer diagnosis. Statistical analysis was performed from December 2022 to October 2023. Exposure: HIV infection detected before or within 90 days of participants' breast cancer diagnosis. Main Outcomes and Measures: The primary outcome was time to breast cancer treatment initiation, defined as the number of days between cancer diagnosis and first treatment. The secondary outcome was overall RDI for patients who received chemotherapy. These outcomes were compared by HIV status using Cox proportional hazards regression and linear regression modeling, respectively, adjusting for confounding demographic and clinical factors. Exploratory outcomes included instances of anemia, neutropenia, thrombocytopenia, and liver function test result abnormalities during chemotherapy, which were compared using Fisher exact tests. Results: The study enrolled 66 women with comorbid breast cancer and HIV (median age, 51.1 years [IQR, 45.7-58.2 years]) and 132 with breast cancer alone (median age, 53.9 years [IQR, 47.0-62.5 years]). The median time to first cancer treatment was not significantly higher among patients with HIV than those without (48.5 days [IQR, 32.0-67.0 days] vs 42.5 days [IQR, 25.0-59.0 days]; adjusted hazard ratio, 0.78, 95% CI, 0.55-1.12). Among the 36 women with HIV and 62 women without HIV who received chemotherapy, the median overall RDI was lower for those with HIV vs without HIV (0.87 [IQR, 0.74-0.97] vs 0.96 [IQR, 0.88-1.00]; adjusted P = .01). Grade 3 or higher neutropenia during chemotherapy occurred among more women with HIV than those without HIV (13 of 36 [36.1%] vs 5 of 58 [8.6%]). Conclusions and Relevance: This matched cohort study suggests that patients with breast cancer and HIV may have experienced reduced adjuvant chemotherapy RDI, reflecting greater dose reductions, delays, or discontinuation. Strategies for supporting this vulnerable population during chemotherapy treatment are necessary.

Association Between Lung Immune Prognostic Index and Durvalumab Consolidation Outcomes in Patients With Locally Advanced Non-Small-Cell Lung Cancer.

INTRODUCTION: The LIPI, based on pretreatment derived neutrophils/[leukocytes-neutrophils] ratio (dNLR) and LDH, is associated with immune checkpoint inhibitors (ICI) outcomes in advanced non-small-cell lung cancer (NSCLC). We aimed to assess baseline LIPI correlation with durvalumab consolidation outcomes in the locally advanced setting. MATERIAL AND METHODS: Multicentre retrospective study (330 patients) with stage III unresectable NSCLC treated with durvalumab after chemo-radiotherapy between April 2015 and December 2020; 65 patients treated with chemo-radiotherapy only. Baseline LIPI characterized 3 groups: good (dNLR≤3+LDH≤ULN), intermediate (dNLR>3/LDH>ULN) and poor (dNLR>3+LDH>ULN). Primary endpoint was overall survival (OS). RESULTS: In the durvalumab cohort, median age was 67 years, 95% smokers, 98% with a performance status of 0-1; 60% had nonsquamous histology and 16% a PD-L1 expression <1%. Radiotherapy was delivered concurrently in 81%. LIPI was evaluable in 216 patients: 66% good, 31% intermediate, 3% poor. LIPI significantly correlated with median OS (median follow-up: 19 months): 18.1 months vs. 47.0 months vs. not reached in poor, intermediate and good LIPI groups, respectively (P = .03). A trend between objective response rate and LIPI groups was observed: 0% vs. 41% vs. 45%, respectively (P = .05). The pooled intermediate/poor LIPI group was associated with shorter OS (HR 1.97; P = .03) and higher risk of progressive disease (OR 2.68; P = .047). Survivals and response were not influenced in the control cohort. CONCLUSION: Baseline LIPI correlated with outcomes in patients with locally advanced NSCLC treated with durvalumab consolidation, but not in those who only received chemo-radiotherapy, providing further evidence of its prognostic and potential predictive role of ICI benefit in NSCLC.

Predicting response to immunotherapy in non-small cell lung cancer- from bench to bedside.

Background: Immune checkpoint inhibitor (ICI) therapy is first-line treatment for many advanced non-small cell lung cancer (aNSCLC) patients. Predicting response could help guide selection of intensified or alternative anti-cancer regimens. We hypothesized that radiomics and laboratory variables predictive of ICI response in a murine model would also predict response in aNSCLC patients. Methods: Fifteen mice with lung carcinoma tumors implanted in bilateral flanks received ICI. Pre-ICI laboratory and computed tomography (CT) data were evaluated for association with systemic ICI response. Baseline clinical and CT data for 117 aNSCLC patients treated with nivolumab were correlated with overall survival (OS). Models for predicting treatment response were created and subjected to internal cross-validation, with the human model further tested on 42 aNSCLC patients who received pembrolizumab. Results: Models incorporating baseline NLR and identical radiomics (surface-to-mass ratio, average Gray, and 2D kurtosis) predicted ICI response in mice and OS in humans with AUCs of 0.91 and 0.75, respectively. The human model successfully sorted pembrolizumab patients by longer vs. shorter predicted OS (median 35 months vs. 6 months, p=0.026 by log-rank). Discussion: This study advances precision oncology by non-invasively classifying aNSCLC patients according to ICI response using pre-treatment data only. Interestingly, identical radiomics features and NLR correlated with outcomes in the preclinical study and with ICI response in 2 independent patient cohorts, suggesting translatability of the findings. Future directions include using a radiogenomic approach to optimize modeling of ICI response.

Impact of gender and mutational differences in hormone receptor expressing non-small cell lung cancer.

Background: The incidence of lung cancer in the US has been decreasing but a bigger decline has been observed in men despite similar declines in tobacco use between men and women. Multiple theories have been proposed, including exposure to exogenous estrogens. Our study seeks to understand the relationship between hormone receptors (HR), gender, and the genomic landscape of non-small lung cancer (NSCLC). Methods: 3,256 NSCLC tumor samples submitted for molecular profiling between 2013-2018 were retrospectively identified and assessed for HR expression. Hormone receptor (HR+) was defined as ≥ 1% nuclear staining of estrogen receptor-alpha (ER-a) or progesterone receptor (PR) by immunohistochemistry. DNA sequencing by NGS included cases sequenced by the Illumina MiSeq hot spot 47 gene panel (n=2753) and Illumina NextSeq 592 gene panel (n=503). An adjusted p-value (q-value) <0.05 was determined significant. Results: HR+ was identified in 18.3% of NSCLC. HR+ occurred more commonly in women compared to men (19.6% vs 11.4%, p <0.0001, q <0.0001). EGFR mutations occurred more commonly in HR+ NSCLC than HR- NSCLC (20.2% vs. 14.6%, p = 0.002, q=0.007). Overall, men with EGFR mutations were affected by HR status with a higher prevalence in HR+ NSCLC while such differences were not seen in women. However, in women ages ≤45, there was a trend towards greater prevalence HR+ NSCLC (25.25% vs. 11.32%, q= 0.0942) and 10/25 (40.0%) of HR+ cases in young women were found to be EGFR mutated. KRAS mutations and ALK+ IHC expression occurred more in HR+ NSCLC whereas TP53 mutations occurred more in HR- NSCLC. Conclusions: Women were more likely to have HR+ NSCLC than men and EGFR and KRAS mutations occurred more commonly in HR+ NSCLC. Additional studies with more strict inclusion criteria for HR+ are warranted to see if there is benefit to targeting HR in these subgroups.

Real-world pan-cancer landscape of frameshift mutations and their role in predicting responses to immune checkpoint inhibitors in cancers with low tumor mutational burden.

BACKGROUND: Pembrolizumab is FDA approved for tumors with tumor mutational burden (TMB) of ≥10 mutations/megabase (mut/Mb). However, the response to immune checkpoint inhibitors (ICI) varies significantly among cancer histologies. We describe the landscape of frameshift mutations (FSs) and evaluated their role as a predictive biomarker to ICI in a clinical cohort of patients. METHODS: Comprehensive genomic profiling was performed on a cohort of solid tumor samples examining at least 324 genes. The clinical cohort included patients with metastatic solid malignancies who received ICI monotherapy and had tumor sequencing. Progression-free survival (PFS), overall survival, and objective response rates (ORR) were compared between the groups. RESULTS: We analyzed 246,252 microsatellite stable (MSS) and 4561 samples with microsatellite instability across solid tumors. Histologies were divided into groups according to TMB and FS. MSS distribution: TMB-L (<10 mut/Mb)/FS-A (absent FS) (N=111,065, 45%), TMB-H (≥10 mut/Mb)/FS-A (N=15,313, 6%), TMB-L/FS-P (present ≥1 FS) (N=98,389, 40%) and TMB-H/FS-P (N=21,485, 9%). FSs were predominantly identified in the p53 pathway. In the clinical cohort, 212 patients were included. Groups: TMB-L/FS-A (N=80, 38%), TMB-H/FS-A (N=36, 17%), TMB-L/FS-P (N=57, 27%), TMB-H/FS-P (N=39, 18%). FSs were associated with a higher ORR to ICI, 23.8% vs 12.8% (p=0.02). TMB-L/FS-P had superior median PFS (5.1 months) vs TMB-L/FS-A (3.6 months, p<0.01). The 12-month PFS probability was 34% for TMB-L/FS-P vs 17.1% for TMB-L/FS-A. CONCLUSIONS: FSs are found in 47% of patients with MSS/TMB-L solid tumors in a pan-cancer cohort. FS may complement TMB in predicting immunotherapy responses, particularly for tumors with low TMB.

Mentorship Experiences Are Not All the Same: A Survey Study of Oncology Trainees and Early-Career Faculty.

PURPOSE: Physician workforce diversity can be a driver of institutional excellence, improving innovation and reducing health disparities. However, the current diversity of the hematology/oncology (HO) workforce does not reflect that of the US population. METHODS: We conducted a cross-sectional online survey of current trainees and faculty within 5 years of completing terminal training in oncology specialties. RESULTS: Of the 306 respondents, 64 (21%) were under-represented in medicine (URiM) and 161 (53%) identified as male. URiM participants were less likely to have a primary mentor (66%) than non-URiM participants (80%; P = .015). Among those who had a primary mentor, URiMs met less frequently (once every 3-6 months or less) with their mentor (19% v 7% non-URiM; P = .003). Furthermore, URiMs were more likely to report having mentors outside their own institution (47% v 40% non-URiM; P = .002) and making compromises to gain access to mentorship (36% v 23% non-URiM; P ≤ 0.001). URiMs were also less likely to apply for grants (34% v 42% non-URiM; P = .035) and awards (28% v 43% non-URiM; P = .019). In multivariable models, URiM individuals were more likely to make compromises to gain access to mentors (odds ratio [OR], 1.96; 95% CI, 1.01 to 3.82) and this remained significant for females (OR, 2.17; 95% CI, 1.26 to 3.75). CONCLUSION: URiM individuals may be less likely to have effective mentorship and apply for awards and grant support. Understanding the challenges of URiM trainees can help shape training environments in academic medicine to ensure that they are grounded in diversity, inclusion, and retention.

Clinical Characteristics, Racial Inequities, and Outcomes in Patients with Breast Cancer and COVID-19: A COVID-19 and Cancer Consortium (CCC19) Cohort Study.

Background: Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations. Methods: This is a COVID-19 and Cancer Consortium (CCC19) registry-based retrospective cohort study of females with active or history of BC and laboratory-confirmed severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection diagnosed between March 2020 and June 2021 in the US. Primary outcome was COVID-19 severity measured on a five-level ordinal scale, including none of the following complications, hospitalization, intensive care unit admission, mechanical ventilation, and all-cause mortality. Multivariable ordinal logistic regression model identified characteristics associated with COVID-19 severity. Results: 1,383 female patient records with BC and COVID-19 were included in the analysis, the median age was 61 years, and median follow-up was 90 days. Multivariable analysis revealed higher odds of COVID-19 severity for older age (aOR per decade, 1.48 [95% CI, 1.32 - 1.67]); Black patients (aOR 1.74; 95 CI 1.24-2.45), Asian Americans and Pacific Islander patients (aOR 3.40; 95 CI 1.70 - 6.79) and Other (aOR 2.97; 95 CI 1.71-5.17) racial/ethnic groups; worse ECOG performance status (ECOG PS ≥2: aOR, 7.78 [95% CI, 4.83 - 12.5]); pre-existing cardiovascular (aOR, 2.26 [95% CI, 1.63 - 3.15])/pulmonary comorbidities (aOR, 1.65 [95% CI, 1.20 - 2.29]); diabetes mellitus (aOR, 2.25 [95% CI, 1.66 - 3.04]); and active and progressing cancer (aOR, 12.5 [95% CI, 6.89 - 22.6]). Hispanic ethnicity, timing and type of anti-cancer therapy modalities were not significantly associated with worse COVID-19 outcomes. The total all-cause mortality and hospitalization rate for the entire cohort was 9% and 37%, respectively however, it varied according to the BC disease status. Conclusions: Using one of the largest registries on cancer and COVID-19, we identified patient and BC related factors associated with worse COVID-19 outcomes. After adjusting for baseline characteristics, underrepresented racial/ethnic patients experienced worse outcomes compared to Non-Hispanic White patients.

Lung Cancer Incidence by Detailed Race-Ethnicity.

Lung cancer (LC) incidence rates and tumor characteristics among (non-Hispanic) Black and Hispanic detailed groups, normally characterized in aggregate, have been overlooked in the US. We used LC data from the Florida state cancer registry, 2012-2018, to compute LC age-adjusted incidence rates (AAIR) for US-born Black, Caribbean-born Black, Mexican, Puerto Rican, Cuban, Dominican, and Central and South American populations. We analyzed 120,550 total LC cases. Among Hispanics, Cuban males had the highest AAIR (65.6 per 100,000; 95%CI: 63.6-67.6), only 8% [Incidence Rate Ratio (IRR): 0.92; 95%CI: 0.89-0.95] lower than Whites, but 2.7 (IRR 95%CI: 2.31-3.19) times higher than Central Americans. Among Blacks, the AAIR for US-born Black males was over three times that of those Caribbean-born (IRR: 3.12; 95%CI: 2.80-3.40) and 14% higher than White males (IRR: 1.14; 95%CI: 1.11-1.18). Among women, US-born Blacks (46.4 per 100,000) and foreign-born Mexicans (12.2 per 100,000) had the highest and lowest rates. Aggregation of non-Hispanic Blacks or Hispanics obscures inherent disparities within groups. Understanding the distinct LC rates in US populations is crucial for targeting public health measures for LC diagnosis, prevention, and treatment. Further LC research exploring detailed race-ethnicity regarding LC in never-smokers is necessary, particularly among females and considering pertinent environmental factors.

Efficacy and outcomes of ramucirumab and docetaxel in patients with metastatic non-small cell lung cancer after disease progression on immune checkpoint inhibitor therapy: Results of a monocentric, retrospective analysis.

Current first-line standard therapy for metastatic non-small cell lung cancer without driver mutations involves chemotherapy and immunotherapy combination. Prior to the advent of immune checkpoint inhibition, REVEL, a randomized phase III trial demonstrated improved progression-free and overall survival with ramucirumab and docetaxel (ram+doc) in patients who failed platinum-based first-line therapy. Long-term outcomes related to second-line ramucirumab and docetaxel after first-line immunotherapy exposure remain unknown. We analyzed outcomes for 35 patients from our center whom received ramucirumab and docetaxel following disease progression on chemotherapy and immunotherapy combination. Median progression-free survival among patients who received ram+doc after exposure to immunotherapy was 6.6 months (95% CI = 5.5 to 14.9 months; p<0.0001), and median overall survival was 20.9 months (95% CI = 13.4 months to infinity; p<0.0001). These outcomes suggest that there may a synergistic benefit to combining chemotherapy with anti-angiogenic therapy after immunotherapy exposure. Future analyses should be evaluated prospectively and among a larger patient subset.

The Impact of HIV Infection on Neoadjuvant and Adjuvant Chemotherapy Relative Dose Intensity in South African Patients with Breast Cancer.

INTRODUCTION: In the South African Breast Cancer and HIV Outcomes (SABCHO) study, we previously found that breast cancer patients living with HIV and treated with neoadjuvant chemotherapy achieve lower rates of complete pathologic response than patients without HIV. We now assess the impact of comorbid HIV on receipt of timely and complete neoadjuvant and adjuvant chemotherapy. MATERIALS AND METHODS: Since June 2015, the SABCHO study has collected data on women diagnosed with breast cancer at 6 South African hospitals. We selected a sample of participants with stages I-III cancer who received ≥2 doses of neoadjuvant or adjuvant chemotherapy. Data on chemotherapies prescribed and received, filgrastim receipt, and laboratory values measured during treatment were captured from patients' medical records. We calculated the mean relative dose intensity (RDI) for all prescribed chemotherapies. We tested for association between full regimen RDI and HIV status, using linear regression to control for demographic and clinical covariates, and for association of HIV with laboratory abnormalities. RESULTS: The 166 participants living with HIV and 159 without HIV did not differ in median chemotherapy RDI: 0.89 (interquartile range (IQR) 0.77-0.95) among those living with HIV and 0.87 (IQR 0.77-0.94) among women without HIV. Patients living with HIV experienced more grade 3+ anemia and leukopenia than those without HIV (anemia: 10.8% vs. 1.9%, P = .001; leukopenia: 8.4% vs. 1.9%, P = .008) and were more likely to receive filgrastim (24.7% vs. 10.7%, P = .001). CONCLUSIONS: HIV status did not impact neoadjuvant or adjuvant chemotherapy RDI, although patients with breast cancer living with HIV experienced more myelotoxicity during treatment.

Sodium-glucose cotransporter-2 inhibitors and cancer outcomes: A systematic review and meta-analysis of randomized controlled trials.

AIMS: Concerns regarding breast and bladder cancer risk with Sodium-glucose cotransporter-2 (SGLT2) inhibitors remain controversial and its effect on cancer mortality is unknown. We aim to evaluate the association between SGLT2 inhibitors and the risk of cancer outcomes. METHODS: We searched PubMed, Embase and CENTRAL up to June 20th, 2022, for randomized controlled trials of SGLT2 inhibitors in adults, with a minimum follow-up of 48 weeks. Researchers extracted study-level data and assessed within-study risk of bias with the RoB 2.0 tool and quality of evidence with GRADE. We performed meta-analyses summarizing the relative risks (RRs) of cancer outcomes. RESULTS: Seventy-six trials encompassing 116,375 participants were selected. Overall risk of bias was low. SGLT2 inhibitors did not reduce/increase the overall risk of cancer (RR, 1.03; 95% confidence interval [CI], 0.96-1.10) and cancer mortality (RR, 0.99; 95% CI, 0.85-1.16). SGLT2 inhibitors likely result in little to no difference in the risk of breast (RR, 1.01; 95% CI 0.77-1.32) and bladder cancers (RR, 0.93; 95% CI 0.71-1.21). Trial sequential analysis provided evidence that the sample size was sufficient to avoid missing alternative results. CONCLUSIONS: SGLT2 inhibitors are not associated with an increased risk of cancer outcomes, providing reassuring data regarding previous safety concerns.