ERBB2 amplification in gastric cancer: a genomic insight into ethnic disparities.

Overall, gastric adenocarcinoma (GC) incidence rates have declined in recent years, but racial/ethnic disparities persist. Individuals who identify as Hispanic/Spanish/Latino are diagnosed with GC at younger ages and have poorer outcomes than non-Hispanic individuals. However, our understanding of GC biology across racial/ethnic groups remains limited. We assessed tumor genomic patterns by race/ethnicity among 1019 patients with primary GC in the AACR Project GENIE Consortium. Hispanic individuals presented with significantly higher rates of ERBB2/HER2 amplification vs other racial/ethnic groups (Hispanic: 13.9% vs 9.8% non-Hispanic White, 8.1% non-Hispanic Asian, and 11.0% non-Hispanic Black; p < .001, FDR adjusted q < 0.001). Hispanic patients also had higher odds of an ERBB2 amplification vs non-Hispanic whites in adjusted models (OR = 2.52, 95%CI = 1.20-5.33, p = .015). These findings underscore the important role of genomic factors in GC disparities. Ensuring equitable access to genomic profiling and targeted therapies, such as trastuzumab for HER2-overexpressing GC, is a promising avenue to mitigate GC disparities and improve outcomes.

A Second Space Age Spanning Omics, Platforms, and Medicine Across Orbits.

The recent acceleration of commercial, private, and multi-national spaceflight has created an unprecedented level of activity in low Earth orbit (LEO), concomitant with the highest-ever number of crewed missions entering space and preparations for exploration-class (>1 year) missions. Such rapid advancement into space from many new companies, countries, and space-related entities has enabled a"Second Space Age." This new era is also poised to leverage, for the first time, modern tools and methods of molecular biology and precision medicine, thus enabling precision aerospace medicine for the crews. The applications of these biomedical technologies and algorithms are diverse, encompassing multi-omic, single-cell, and spatial biology tools to investigate human and microbial responses to spaceflight. Additionally, they extend to the development of new imaging techniques, real-time cognitive assessments, physiological monitoring, and personalized risk profiles tailored for astronauts. Furthermore, these technologies enable advancements in pharmacogenomics (PGx), as well as the identification of novel spaceflight biomarkers and the development of corresponding countermeasures. In this review, we highlight some of the recent biomedical research from the National Aeronautics and Space Administration (NASA), Japan Aerospace Exploration Agency (JAXA), European Space Agency (ESA), and other space agencies, and also detail the commercial spaceflight sector's (e.g. SpaceX, Blue Origin, Axiom, Sierra Space) entrance into aerospace medicine and space biology, the first aerospace medicine biobank, and the myriad upcoming missions that will utilize these tools to ensure a permanent human presence beyond LEO, venturing out to other planets and moons.

Single-cell analysis identifies conserved features of immune dysfunction in simulated microgravity and spaceflight.

Microgravity is associated with immunological dysfunction, though the mechanisms are poorly understood. Here, using single-cell analysis of human peripheral blood mononuclear cells (PBMCs) exposed to short term (25 hours) simulated microgravity, we characterize altered genes and pathways at basal and stimulated states with a Toll-like Receptor-7/8 agonist. We validate single-cell analysis by RNA sequencing and super-resolution microscopy, and against data from the Inspiration-4 (I4) mission, JAXA (Cell-Free Epigenome) mission, Twins study, and spleens from mice on the International Space Station. Overall, microgravity alters specific pathways for optimal immunity, including the cytoskeleton, interferon signaling, pyroptosis, temperature-shock, innate inflammation (e.g., Coronavirus pathogenesis pathway and IL-6 signaling), nuclear receptors, and sirtuin signaling. Microgravity directs monocyte inflammatory parameters, and impairs T cell and NK cell functionality. Using machine learning, we identify numerous compounds linking microgravity to immune cell transcription, and demonstrate that the flavonol, quercetin, can reverse most abnormal pathways. These results define immune cell alterations in microgravity, and provide opportunities for countermeasures to maintain normal immunity in space.

Survival disparities in rural versus urban patients with pancreatic neuroendocrine tumor: A multi-institutional study from the US neuroendocrine tumor study group.

BACKGROUND: Pancreatic Neuroendocrine Tumors (PNETs) are indolent malignancies that often have a prolonged clinical course. This study assesses disparities in outcomes between PNET patients who live in urban (UA) and rural areas (RA). METHODS: A retrospective cohort study was performed using the US Neuroendocrine Tumor Study Group database. PNET patients with a home zip code recorded were included and categorized as RA or UA according to the Federal Office of Rural Health Policy. Overall survival (OS) was analyzed by Kaplan-Meier method, log-rank test, and logistical regression. RESULTS: Of the 1176 PNET patients in the database, 1126 (96%) had zip code recorded. While 837 (74%) lived in UA, 289 (26%) lived in RA. RA patients had significantly shorter median OS following primary PNET resection (122 vs 149 months, p â€‹= â€‹0.01). After controlling for income, local healthcare access, distance from treatment center, ASA class, BMI, and T/N/M stage, living in a RA remained significantly associated with worse OS (HR 1.60, 95%CI 1.08-2.39, p â€‹= â€‹0.02). CONCLUSION: Rural patients have significantly shorter OS following PNET resection compared to their urban counterparts.

Chronic inflammation and the hallmarks of aging.

BACKGROUND: Recently, the hallmarks of aging were updated to include dysbiosis, disabled macroautophagy, and chronic inflammation. In particular, the low-grade chronic inflammation during aging, without overt infection, is defined as "inflammaging," which is associated with increased morbidity and mortality in the aging population. Emerging evidence suggests a bidirectional and cyclical relationship between chronic inflammation and the development of age-related conditions, such as cardiovascular diseases, neurodegeneration, cancer, and frailty. How the crosstalk between chronic inflammation and other hallmarks of aging underlies biological mechanisms of aging and age-related disease is thus of particular interest to the current geroscience research. SCOPE OF REVIEW: This review integrates the cellular and molecular mechanisms of age-associated chronic inflammation with the other eleven hallmarks of aging. Extra discussion is dedicated to the hallmark of "altered nutrient sensing," given the scope of Molecular Metabolism. The deregulation of hallmark processes during aging disrupts the delicate balance between pro-inflammatory and anti-inflammatory signaling, leading to a persistent inflammatory state. The resultant chronic inflammation, in turn, further aggravates the dysfunction of each hallmark, thereby driving the progression of aging and age-related diseases. MAIN CONCLUSIONS: The crosstalk between chronic inflammation and other hallmarks of aging results in a vicious cycle that exacerbates the decline in cellular functions and promotes aging. Understanding this complex interplay will provide new insights into the mechanisms of aging and the development of potential anti-aging interventions. Given their interconnectedness and ability to accentuate the primary elements of aging, drivers of chronic inflammation may be an ideal target with high translational potential to address the pathological conditions associated with aging.

Regulation of the immune system by the insulin receptor in health and disease.

The signaling pathways downstream of the insulin receptor (InsR) are some of the most evolutionarily conserved pathways that regulate organism longevity and metabolism. InsR signaling is well characterized in metabolic tissues, such as liver, muscle, and fat, actively orchestrating cellular processes, including growth, survival, and nutrient metabolism. However, cells of the immune system also express the InsR and downstream signaling machinery, and there is increasing appreciation for the involvement of InsR signaling in shaping the immune response. Here, we summarize current understanding of InsR signaling pathways in different immune cell subsets and their impact on cellular metabolism, differentiation, and effector versus regulatory function. We also discuss mechanistic links between altered InsR signaling and immune dysfunction in various disease settings and conditions, with a focus on age related conditions, such as type 2 diabetes, cancer and infection vulnerability.

Glutathione peroxidase 4 inhibition induces ferroptosis and mTOR pathway suppression in thyroid cancer.

Papillary thyroid carcinoma (PTC) demonstrates significantly reduced patient survival with metastatic progression. Tumor progression can be influenced by metabolism, including antioxidant glutathione (GSH). Glutathione peroxidase 4 (GPX4) is a selenoenzyme that uses GSH as a co-factor to regulate lipid peroxidation of cell membranes during increased oxidative stress. GPX4 suppression in tumor cells can induce ferroptosis. This study aims to examine ferroptosis as a potentially critical pathway in effective targeting of thyroid cancer (TC) cells. We treated human TC cells (K1, MDA-T68, MDA-T32, TPC1) with (1S,3R)-RSL3 (RSL3), a small-molecule inhibitor of GPX4 and examined the effects on ferroptosis, tumor cell survival and migration, spheroid formation, oxidative stress, DNA damage repair response, and mTOR signaling pathway in vitro. GPX4 inhibition activated ferroptosis, inducing TC cell death, rapid rise in reactive oxygen species and effectively arrested cell migration in vitro. Suppression of mTOR signaling pathway triggered autophagy. GPX4 genetic knockdown mirrored RSL3 effect on mTOR pathway suppression. RSL3 subdued DNA damage repair response by suppressing phosphorylation of nucleophosmin 1 (NPM1). Thus, observed potent induction of ferroptosis, GPX4-dependent novel suppression of mTOR pathway and DNA damage repair response in preclinical in vitro model of TC supports GPX4 targeting for therapeutic benefit in advanced therapy-resistant thyroid cancers.

Multiplatform computational analysis of mast cells in adrenocortical carcinoma tumor microenvironment.

BACKGROUND: Immunotherapeutic response failure of adrenocortical carcinomas highlights a need for novel strategies targeting immune cell populations in the tumor microenvironment to overcome tumor resistance and enhance therapeutic response. A recent study explored a new link between tumor mast cell infiltration and improved outcomes in patients with adrenocortical carcinomas. We further dissect the role of mast cells in the tumor microenvironment of adrenocortical carcinomas by examining the tumor mast cell expression signatures and mast cell activity within the tumor microenvironment to provide additional insight into potential novel immunotherapeutic targets. METHODS: Using the CIBERSORTx computational immunogenomic deconvolution algorithm to analyze adrenocortical carcinoma tumor gene messenger RNA expression data (The Cancer Genome Atlas, N = 79), we estimated the abundance of tumor immune infiltrating mast cells and assessed prognostic potential of mast cell signaling genes as pro or antitumor signatures, as well as examined the impact on overall and disease-free survival. RESULTS: We stratified mast cell signaling genes with survival prognostic values (overall survival, disease-free survival, P < .05) into antitumor (ALOX5, CCL2, CCL5, CXCL10, HDC, IL16, TNF, TPSAB1, VEGFD) and protumor (CXCL1, CXCL3, CXCL8, IL4, IL13, PTGS3, TNSF4, VEGFD) groups. Antitumor mast cell signature, as the predominant phenotype, was associated with improved overall and disease-free survival. CONCLUSION: The deconvolution analysis of The Cancer Genome Atlas data identified mast cell infiltration in the adrenocortical carcinoma microenvironment as predominantly associated with antitumor activity. Future studies stemming from our findings may help define the role of mast cells in the tumor microenvironment and the impact on patient survival in patients with adrenocortical carcinomas. Modulation of tumor mast cell infiltration may serve as a potential target for novel synergistic immunotherapies for the treatment and improved survival of patients with adrenocortical carcinomas.

Integrative computational immunogenomic profiling of cortisol-secreting adrenocortical carcinoma.

Adrenocortical carcinoma (ACC) is a rare but highly aggressive malignancy. Nearly half of ACC tumours overproduce and secrete adrenal steroids. Excess cortisol secretion, in particular, has been associated with poor prognosis among ACC patients. Furthermore, recent immunotherapy clinical trials have demonstrated significant immunoresistance among cortisol-secreting ACC (CS-ACC) patients when compared to their non-cortisol-secreting (nonCS-ACC) counterparts. The immunosuppressive role of excess glucocorticoid therapies and hypersecretion is known; however, the impact of the cortisol hypersecretion on ACC tumour microenvironment (TME), immune expression profiles and immune cell responses remain largely undefined. In this study, we characterized the TME of ACC patients and compared the immunogenomic profiles of nonCS-ACC and CS-ACC tumours to assess the impact of differentially expressed genes (DEGs) by utilizing The Cancer Genome Atlas (TCGA) database. Immunogenomic comparison (CS- vs. nonCS-ACC tumour TMEs) demonstrated an immunosuppressive expression profile with a direct impact on patient survival. We identified several primary prognostic indicators and potential targets within ACC tumour immune landscape. Differentially expressed immune genes with prognostic significance provide additional insight into the understanding of potential contributory mechanisms underlying failure of initial immunotherapeutic trials and poor prognosis of patients with CS-ACC.

Insurance-based Disparities in Gastro-Entero-Pancreatic Neuroendocrine Tumor Patients.

In the United States, uninsurance remains a major barrier in accessing health care for many citizens and residents. Studies have shown that uninsured patients with many cancers and chronic diseases have worse survival than insured patients. A recent study similarly showed that uninsured patients with gastro-entero-pancreatic neuroendocrine tumors (GEP-NETs) have significantly shortened survival. While GEP-NETs are indolent tumors with generally favorable prognosis, comprehensive care involves years of surveillance, imaging, and treatment following resection, all of which carry a large financial burden. In this commentary, we expand on these findings as they relate to insurance-based disparities as well as management and policy implications.

Cumulative GRAS Score as a Predictor of Survival After Resection for Adrenocortical Carcinoma: Analysis From the U.S. Adrenocortical Carcinoma Database.

BACKGROUND: Adrenocortical carcinoma (ACC) is a rare but aggressive malignancy, and many prognostic factors that influence survival remain undefined. Individually, the GRAS (Grade, Resection status, Age, and Symptoms of hormone hypersecretion) parameters have demonstrated their prognostic value in ACC. This study aimed to assess the value of a cumulative GRAS score as a prognostic indicator after ACC resection. METHODS: A retrospective cohort study of adult patients who underwent surgical resection for ACC between 1993 and 2014 was performed using the United States Adrenocortical Carcinoma Group (US-ACCG) database. A sum GRAS score was calculated for each patient by adding one point each when the criteria were met for tumor grade (Weiss criteria ≥ 3 or Ki67 ≥ 20%), resection status (micro- or macroscopically positive margin), age (≥ 50 years), and preoperative symptoms of hormone hypersecretion (present). Overall survival (OS) and disease-free survival (DFS) by cumulative GRAS score were analyzed by the Kaplan-Meier method and log-rank test. RESULTS: Of the 265 patients in the US-ACCG database, 243 (92%) had sufficient data available to calculate a cumulative GRAS score and were included in this analysis. The 265 patients comprised 23 patients (10%) with a GRAS of 0, 52 patients (21%) with a GRAS of 1, 92 patients (38%) with a GRAS of 2, 63 patients (26%) with a GRAS of 3, and 13 patients (5%) with a GRAS of 4. An increasing GRAS score was associated with shortened OS (p < 0.01) and DFS (p < 0.01) after index resection. CONCLUSION: In this retrospective analysis, the cumulative GRAS score effectively stratified OS and DFS after index resection for ACC. Further prospective analysis is required to validate the cumulative GRAS score as a prognostic indicator for clinical use.

Modeling the impact of delaying surgery for early esophageal cancer in the era of COVID-19.

BACKGROUND: Surgical society guidelines have recommended changing the treatment strategy for early esophageal cancer during the novel coronavirus (COVID-19) pandemic. Delaying resection can allow for interim disease progression, but the impact of this delay on mortality is unknown. The COVID-19 infection rate at which immediate operative risk exceeds benefit is unknown. We sought to model immediate versus delayed surgical resection in a T1b esophageal adenocarcinoma. METHODS: A decision analysis model was developed, and sensitivity analyses performed. The base case was a 65-year-old male smoker presenting with cT1b esophageal adenocarcinoma scheduled for esophagectomy during the COVID-19 pandemic. We compared immediate surgical resection to delayed resection after 3 months. The likelihood of key outcomes was derived from the literature where available. The outcome was 5-year overall survival. RESULTS: Proceeding with immediate esophagectomy for the base case scenario resulted in slightly improved 5-year overall survival when compared to delaying surgery by 3 months (5-year overall survival 0.74 for immediate and 0.73 for delayed resection). In sensitivity analyses, a delayed approach became preferred when the probability of perioperative COVID-19 infection increased above 7%. CONCLUSIONS: Immediate resection of early esophageal cancer during the COVID-19 pandemic did not decrease 5-year survival when compared to resection after 3 months for the base case scenario. However, as the risk of perioperative COVID-19 infection increases above 7%, a delayed approach has improved 5-year survival. This balance should be frequently re-examined by surgeons as infection risk changes in each hospital and community throughout the COVID-19 pandemic.

Specific Growth Rate as a Predictor of Survival in Pancreatic Neuroendocrine Tumors: A Multi-institutional Study from the United States Neuroendocrine Study Group.

BACKGROUND: Pancreatic neuroendocrine tumors (PNETs) are often indolent; however, identifying patients at risk for rapidly progressing variants is critical, particularly for those with small tumors who may be candidates for expectant management. Specific growth rate (SGR) has been predictive of survival in other malignancies but has not been examined in PNETs. METHODS: A retrospective cohort study of adult patients who underwent PNET resection from 2000 to 2016 was performed utilizing the multi-institutional United States Neuroendocrine Study Group database. Patients with ≥ 2 preoperative cross-sectional imaging studies at least 30 days apart were included in our analysis (N = 288). Patients were grouped as "high SGR" or "low SGR." Demographic and clinical factors were compared between the groups. Kaplan-Meier and log-rank analysis were used for survival analysis. Cox proportional hazard analysis was used to assess the impact of various clinical factors on overall survival (OS). RESULTS: High SGR was associated with higher T stage at resection, shorter doubling time, and elevated HbA1c (all P ≤ 0.01). Patients with high SGR had significantly decreased 5-year OS (63 vs 80%, P = 0.01) and disease-specific survival (72 vs 91%, P = 0.03) compared to those with low SGR. In patients with small (≤ 2 cm) tumors (N = 106), high SGR predicted lower 5-year OS (79 vs 96%, P = 0.01). On multivariate analysis, high SGR was independently associated with worse OS (hazard ratio 2.67, 95% confidence interval 1.05-6.84, P = 0.04). CONCLUSION: High SGR is associated with worse survival in PNET patients. Evaluating PNET SGR may enhance clinical decision-making, particularly when weighing expectant management versus surgery in patients with small tumors.

Impact of Insurance Status on Survival in Gastroenteropancreatic Neuroendocrine Tumors.

BACKGROUND: Insurance status predicts access to medical care in the USA. Previous studies have shown uninsured patients with some malignancies have worse outcomes than insured patients. The impact of insurance status on patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs) is unclear. PATIENTS AND METHODS: A retrospective cohort study of adult patients with resected GEP-NETs was performed using the US Neuroendocrine Tumor Study Group (USNETSG) database (2000-2016). Demographic and clinical factors were compared by insurance status. Patients ≥ 65 years were excluded, as these patients are almost universally covered by Medicare. Kaplan-Meier and log-rank analyses were used for survival analysis. Logistic regression was used to assess factors associated with overall survival (OS). RESULTS: The USNETSG database included 2022 patients. Of those, 1425 were aged 18-64 years at index operation and were included in our analysis. Uninsured patients were more likely to have an emergent operation (7.9% versus 2.5%, p = 0.01) and less likely to receive postoperative somatostatin analog therapy (1.6% versus 9.9%, p = 0.03). OS at 1, 5, and 10 years was significantly higher for insured patients (96.3%, 88.2%, and 73.8%, respectively) than uninsured patients (87.7%, 71.9%, and 44.0%, respectively) (p < 0.01). On Cox multivariate regression analysis controlling for T/M stage, tumor grade, ASA class, and income level, being uninsured was independently associated with worse OS [hazard ratio (HR) 2.69, 95% confidence interval (CI) 1.32-5.48, p = 0.006]. CONCLUSIONS: Insurance status is an independent predictor of survival in patients with GEP-NETs. Our study highlights the importance of access to medical care, disparities related to insurance status, and the need to mitigate these disparities.

Impact of perioperative blood transfusion on survival in pancreatic neuroendocrine tumor patients: analysis from the US Neuroendocrine Study Group.

BACKGROUND: Packed red blood cell (PRBC) transfusion has been associated with worse survival in multiple malignancies but its impact on pancreatic neuroendocrine tumors (PNETs) is unknown. The aim of this study was to determine the impact of PRBC transfusion on survival following PNET resection. METHODS: A retrospective cohort study of PNET patients was performed using the US Neuroendocrine Tumor Study Group database. Demographic and clinical factors were compared. Kaplan-Meier and log-rank analyses were performed. Factors associated with transfusion, overall (OS), recurrence-free (RFS) and progression-free survival (PFS) were assessed by logistic regression. RESULTS: Of 1129 patients with surgically resected PNETs, 156 (13.8%) received perioperative PRBC transfusion. Transfused patients had higher ASA Class, lower preoperative hemoglobin, larger tumors, more nodal involvement, and increased major complications (all p < 0.010). Transfused patients had worse median OS (116 vs 150 months, p < 0.001), worse RFS (83 vs 128 months, p < 0.01) in curatively resected (n = 1047), and worse PFS (11 vs 24 months, p = 0.110) in non-curatively resected (n = 82) patients. On multivariable analysis, transfusion was associated with worse OS (HR 1.80, p = 0.011) when controlling for TNM stage, tumor grade, final resection status, and pre-operative anemia. CONCLUSION: PRBC transfusion is associated with worse survival for patients undergoing PNET resection.