An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics.

For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than 11,000 human tumors across 33 different cancer types. TCGA clinical data contain key features representing the democratized nature of the data collection process. To ensure proper use of this large clinical dataset associated with genomic features, we developed a standardized dataset named the TCGA Pan-Cancer Clinical Data Resource (TCGA-CDR), which includes four major clinical outcome endpoints. In addition to detailing major challenges and statistical limitations encountered during the effort of integrating the acquired clinical data, we present a summary that includes endpoint usage recommendations for each cancer type. These TCGA-CDR findings appear to be consistent with cancer genomics studies independent of the TCGA effort and provide opportunities for investigating cancer biology using clinical correlates at an unprecedented scale.

Proteogenomic characterization of difficult-to-treat breast cancer with tumor cells enriched through laser microdissection.

BACKGROUND: Breast cancer (BC) is the most commonly diagnosed cancer and the leading cause of cancer death among women globally. Despite advances, there is considerable variation in clinical outcomes for patients with non-luminal A tumors, classified as difficult-to-treat breast cancers (DTBC). This study aims to delineate the proteogenomic landscape of DTBC tumors compared to luminal A (LumA) tumors. METHODS: We retrospectively collected a total of 117 untreated primary breast tumor specimens, focusing on DTBC subtypes. Breast tumors were processed by laser microdissection (LMD) to enrich tumor cells. DNA, RNA, and protein were simultaneously extracted from each tumor preparation, followed by whole genome sequencing, paired-end RNA sequencing, global proteomics and phosphoproteomics. Differential feature analysis, pathway analysis and survival analysis were performed to better understand DTBC and investigate biomarkers. RESULTS: We observed distinct variations in gene mutations, structural variations, and chromosomal alterations between DTBC and LumA breast tumors. DTBC tumors predominantly had more mutations in TP53, PLXNB3, Zinc finger genes, and fewer mutations in SDC2, CDH1, PIK3CA, SVIL, and PTEN. Notably, Cytoband 1q21, which contains numerous cell proliferation-related genes, was significantly amplified in the DTBC tumors. LMD successfully minimized stromal components and increased RNA-protein concordance, as evidenced by stromal score comparisons and proteomic analysis. Distinct DTBC and LumA-enriched clusters were observed by proteomic and phosphoproteomic clustering analysis, some with survival differences. Phosphoproteomics identified two distinct phosphoproteomic profiles for high relapse-risk and low relapse-risk basal-like tumors, involving several genes known to be associated with breast cancer oncogenesis and progression, including KIAA1522, DCK, FOXO3, MYO9B, ARID1A, EPRS, ZC3HAV1, and RBM14. Lastly, an integrated pathway analysis of multi-omics data highlighted a robust enrichment of proliferation pathways in DTBC tumors. CONCLUSIONS: This study provides an integrated proteogenomic characterization of DTBC vs LumA with tumor cells enriched through laser microdissection. We identified many common features of DTBC tumors and the phosphopeptides that could serve as potential biomarkers for high/low relapse-risk basal-like BC and possibly guide treatment selections.

Cancer incidence in the US military: An updated analysis.

BACKGROUND: Military and general populations differ in factors related to cancer occurrence and diagnosis. This study compared incidence of colorectal, lung, prostate, testicular, breast, and cervical cancers between the US military and general US populations. METHODS: Data from the US Department of Defense's Automated Central Tumor Registry (ACTUR) and the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program were analyzed. Persons in ACTUR were active-duty members 20-59 years old during 1990-013. The same criteria applied to persons in SEER. Age-adjusted incidence rates, incidence rate ratios, and 95% confidence intervals were calculated by sex, race, age, and cancer stage. Temporal trends were analyzed. RESULTS: ACTUR had higher rates of prostate and breast cancers, particularly in 40- to 59-year-olds. Further analyses by tumor stage showed this was primarily confined to localized stage. Incidence rates of colorectal, lung, testicular, and cervical cancers were significantly lower in ACTUR than in SEER, primarily for regional and distant tumors in men. Temporal incidence trends were generally similar overall and by stage between the populations, although distant colorectal cancer incidence tended to decrease starting in 2006 in ACTUR whereas it increased during the same period in SEER. CONCLUSION: Higher rates of breast and prostate cancers in servicemembers 40-59 years of age than in the general population may result from greater cancer screening utilization or cumulative military exposures. Lower incidence of other cancers in servicemembers may be associated with better health status.

Association of clinicopathologic and molecular factors with the occurrence of positive margins in breast cancer.

PURPOSE: To explore the association of clinicopathologic and molecular factors with the occurrence of positive margins after first surgery in breast cancer. METHODS: The clinical and RNA-Seq data for 951 (75 positive and 876 negative margins) primary breast cancer patients from The Cancer Genome Atlas (TCGA) were used. The role of each clinicopathologic factor for margin prediction and also their impact on survival were evaluated using logistic regression, Fisher's exact test, and Cox proportional hazards regression models. In addition, differential expression analysis on a matched dataset (71 positive and 71 negative margins) was performed using Deseq2 and LASSO regression. RESULTS: Association studies showed that higher stage, larger tumor size (T), positive lymph nodes (N), and presence of distant metastasis (M) significantly contributed (p ≤ 0.05) to positive surgical margins. In case of surgery, lumpectomy was significantly associated with positive margin compared to mastectomy. Moreover, PAM50 Luminal A subtype had higher chance of positive margin resection compared to Basal-like subtype. Survival models demonstrated that positive margin status along with higher stage, higher TNM, and negative hormone receptor status was significant for disease progression. We also found that margin status might be a surrogate of tumor stage. In addition, 29 genes that could be potential positive margin predictors and 8 pathways were identified from molecular data analysis. CONCLUSION: The occurrence of positive margins after surgery was associated with various clinical factors, similar to the findings reported in earlier studies. In addition, we found that the PAM50 intrinsic subtype Luminal A has more chance of obtaining positive margins compared to Basal type. As the first effort to pursue molecular understanding of the margin status, a gene panel of 29 genes including 17 protein-coding genes was also identified for potential prediction of the margin status which needs to be validated using a larger sample set.

Survival among lung cancer patients: comparison of the U.S. military health system and the surveillance, epidemiology, and end results (SEER) program by health insurance status.

PURPOSE: The U.S. military health system (MHS) provides beneficiaries with universal health care while health care access varies in the U.S. general population by insurance status/type. We divided the patients from the U.S. general population by insurance status/type and compared them to the MHS patients in survival. METHODS: The MHS patients were identified from the Department of Defense's Automated Central Tumor Registry (ACTUR). Patients from the U.S. general population were identified from the Surveillance, Epidemiology, and End Results (SEER) program. Multivariable Cox regression analysis was conducted to compare different insurance status/type in SEER to ACTUR in overall survival. RESULTS: Compared to ACTUR patients with non-small cell lung cancer (NSCLC), SEER patients showed significant worse survival. The adjusted hazard ratios (HRs) were 1.08 [95% Confidence Interval (CI) = 1.03-1.13], 1.22 (95% CI = 1.16-1.28), 1.40 (95% CI = 1.33-1.47), 1.50 (95% CI = 1.41-1.59), for insured, insured/no specifics, Medicaid, and uninsured patients, respectively. The pattern was consistently observed in subgroup analysis by race, gender, age, or tumor stage. Results were similar for small cell lung cancer (SCLC), although they were only borderline significant in some subgroups. CONCLUSION: The survival advantage of patients receiving care from a universal health care system over the patients from the general population was not restricted to uninsured or Medicaid as expected, but was present cross all insurance types, including patients with private insurance. Our findings highlight the survival benefits of universal health care system to lung cancer patients.

Racial, ethnic and country of origin disparities in aggressive endometrial cancer histologic subtypes.

OBJECTIVE: This study investigated the risk of an aggressive endometrial cancer (EC) diagnosis by race, ethnicity, and country of origin to further elucidate histologic disparities in non-Hispanic Black (NHB), Hispanic, Asian/Pacific Islander (API), American Indian/Alaskan Native (AIAN) vs. non-Hispanic White (NHW) patients, particularly in Hispanic or API subgroups. METHODS: Patient diagnosed between 2004 and 2020 with low grade (LG)-endometrioid endometrial cancer (ECC) or an aggressive EC including grade 3 EEC, serous carcinoma, clear cell carcinoma, mixed epithelial carcinoma, or carcinosarcoma in the National Cancer Database were studied. The odds ratio (OR) and 95% confidence interval (CI) for diagnosis of an aggressive EC histology was estimated using logistic modeling. RESULTS: There were 343,868 NHW, 48,897 NHB, 30,013 Hispanic, 15,015 API and 1646 AIAN patients. The OR (95% CI) for an aggressive EC diagnosis was 3.07 (3.01-3.13) for NHB, 1.08 (1.06-1.11) for Hispanic, 1.17 (1.13-1.21) for API and 1.07 (0.96-1.19) for AIAN, relative to NHW patients. Subset analyses by country of origin illustrated the diversity in the OR for an aggressive EC diagnosis among Hispanic (1.18 for Mexican to 1.87 for Dominican), Asian (1.14 Asian Indian-Pakistani to 1.48 Korean) and Pacific Islander (1.00 for Hawaiian to 1.33 for Samoan) descendants. Hispanic, API and AIAN patients were diagnosed 5-years younger that NHW patients, and the risk for an aggressive EC histology were all significantly higher than NHW patients after correcting for age. Insurance status was another independent risk factor for aggressive histology. CONCLUSIONS: Risk of an aggressive EC diagnosis varied by race, ethnicity, and country of origin. NHB patients had the highest risk, followed by Dominican, South/Central American, Cuban, Korean, Thai, Vietnamese, and Filipino descendants.

Survival disparities in non-Hispanic Black and White cervical cancer patients vary by histology and are largely explained by modifiable factors.

PURPOSE: We investigated racial disparities in survival by histology in cervical cancer and examined the factors contributing to these disparities. METHODS: Non-Hispanic Black and non-Hispanic White (hereafter known as Black and White) patients with stage I-IV cervical carcinoma diagnosed between 2004 and 2017 in the National Cancer Database were studied. Survival differences were compared using Cox modeling to estimate hazard ratio (HR) or adjusted HR (AHR) and 95% confidence interval (CI). The contribution of demographic, socioeconomic and clinical factors to the Black vs White differences in survival was estimated after applying propensity score weighting in patients with squamous cell carcinoma (SCC) or adenocarcinoma (AC). RESULTS: This study included 10,111 Black and 43,252 White patients with cervical cancer. Black patients had worse survival than White cervical cancer patients (HR = 1.40, 95% CI = 1.35-1.45). Survival disparities between Black and White patients varied significantly by histology (HR = 1.20, 95% CI = 1.15-1.24 for SCC; HR = 2.32, 95% CI = 2.12-2.54 for AC, interaction p < 0.0001). After balancing the selected demographic, socioeconomic and clinical factors, survival in Black vs. White patients was no longer different in those with SCC (AHR = 1.01, 95% CI 0.97-1.06) or AC (AHR = 1.09, 95% CI = 0.96-1.24). In SCC, the largest contributors to survival disparities were neighborhood income and insurance. In AC, age was the most significant contributor followed by neighborhood income, insurance, and stage. Diagnosis of AC (but not SCC) at ≥65 years old was more common in Black vs. White patients (26% vs. 13%, respectively). CONCLUSIONS: Histology matters in survival disparities and diagnosis at ≥65 years old between Black and White cervical cancer patients. These disparities were largely explained by modifiable factors.

Selection of optimal quantile protein biomarkers based on cell-level immunohistochemistry data.

BACKGROUND: Protein biomarkers of cancer progression and response to therapy are increasingly important for improving personalized medicine. Advanced quantitative pathology platforms enable measurement of protein expression in tissues at the single-cell level. However, this rich quantitative cell-by-cell biomarker information is most often not exploited. Instead, it is reduced to a single mean across the cells of interest or converted into a simple proportion of binary biomarker-positive or -negative cells. RESULTS: We investigated the utility of retaining all quantitative information at the single-cell level by considering the values of the quantile function (inverse of the cumulative distribution function) estimated from a sample of cell signal intensity levels in a tumor tissue. An algorithm was developed for selecting optimal cutoffs for dichotomizing cell signal intensity distribution quantiles as predictors of continuous, categorical or survival outcomes. The proposed algorithm was used to select optimal quantile biomarkers of breast cancer progression based on cancer cells' cell signal intensity levels of nuclear protein Ki-67, Proliferating cell nuclear antigen, Programmed cell death 1 ligand 2, and Progesterone receptor. The performance of the resulting optimal quantile biomarkers was validated and compared to the standard cancer compartment mean signal intensity markers using an independent external validation cohort. For Ki-67, the optimal quantile biomarker was also compared to established biomarkers based on percentages of Ki67-positive cells. For proteins significantly associated with PFS in the external validation cohort, the optimal quantile biomarkers yielded either larger or similar effect size (hazard ratio for progression-free survival) as compared to cancer compartment mean signal intensity biomarkers. CONCLUSION: The optimal quantile protein biomarkers yield generally improved prognostic value as compared to the standard protein expression markers. The proposed methodology has a broad application to single-cell data from genomics, transcriptomics, proteomics, or metabolomics studies at the single cell level.

Quantile Index Biomarkers Based on Single-Cell Expression Data.

Current histocytometry methods enable single-cell quantification of biomolecules in tumor tissue sections by multiple detection technologies, including multiplex fluorescence-based immunohistochemistry or in situ hybridization. Quantitative pathology platforms can provide distributions of cellular signal intensity (CSI) levels of biomolecules across the entire cell populations of interest within the sampled tumor tissue. However, the heterogeneity of CSI levels is usually ignored, and the simple mean signal intensity value is considered a cancer biomarker. Here we consider the entire distribution of CSI expression levels of a given biomolecule in the cancer cell population as a predictor of clinical outcome. The proposed quantile index (QI) biomarker is defined as the weighted average of CSI distribution quantiles in individual tumors. The weight for each quantile is determined by fitting a functional regression model for a clinical outcome. That is, the weights are optimized so that the resulting QI has the highest power to predict a relevant clinical outcome. The proposed QI biomarkers were derived for proteins expressed in cancer cells of malignant breast tumors and demonstrated improved prognostic value compared with the standard mean signal intensity predictors. The R package Qindex implementing QI biomarkers has been developed. The proposed approach is not limited to immunohistochemistry data and can be based on any cell-level expressions of proteins or nucleic acids.

Five-year survival of patients with late-stage prostate cancer: comparison of the Military Health System and the U.S. general population.

BACKGROUND: While the 5-year survival rate for local and regional prostate cancer is nearly 100%, it decreases dramatically for advanced tumours. Accessibility to health care is an important factor for cancer prognosis. The U.S. Military Health System (MHS) provides universal health care to its beneficiaries, reducing financial barriers to medical care. However, whether the universal care translates into improved survival among patients with advanced prostate cancer in the MHS is unknown. In this study, we compared the MHS and the U.S. general population in survival of patients with advanced prostate cancer (stages III and IV). METHODS: The MHS patients (N = 5379) were identified from the Department of Defense's (DoD) Automated Central Tumor Registry (ACTUR). Patients in the U.S. general population (N = 21,516) were identified from the Surveillance, Epidemiology, and End Results (SEER) programme. The two populations were matched on age, race, and diagnosis year. RESULTS: The ACTUR patients exhibited longer 5-year survival than the matched SEER patients (HR = 0.74, 95% CI = 0.67-0.83), after adjustment for the potential confounders. The improved survival was observed for ages 50 years or older, both White patients and Black patients, all tumour stages and grades. This was also demonstrated despite the receipt of surgery or radiation treatment. CONCLUSIONS: MHS beneficiaries with advanced prostate cancer had longer survival than their counterparts in the U.S. general population.

The relationship between prior psychiatric diagnosis and brain cancer diagnosis in the U.S. military health system.

PURPOSE: Prior research suggested the increased likelihood of brain cancer diagnosis following certain psychiatric diagnoses. This association may result from detection bias or suggest an early sign for brain cancer. This study investigated whether psychiatric illness may be an early manifestation of brain cancer while considering potential effects of detection bias. METHODS: This case-control study used the data from the Department of Defense's Central Cancer Registry and the Military Health System Data Repository. Four cancer-free controls and one negative-outcome control (cancers not associated with psychiatric illness) were matched to each brain cancer case diagnosed from 1998 to 2013 by age, sex, race, and military status. The groups were compared in the likelihood of having a pre-existing psychiatric diagnosis using conditional logistic regression. RESULTS: We found a significant association of psychiatric illnesses with brain cancer (Odds Ratio (OR) = 2.63, 95% confidence interval (CI) = 2.18-3.16) and other cancers (OR = 1.80, 95% CI = 1.49-2.19), compared to non-cancer controls. The association was stronger for psychiatric diagnoses within three months before cancer (brain cancer: OR = 26.77, 95% CI = 15.40-46.53; other cancers: OR = 4.12, 95% CI = 1.96-8.65). The association with psychiatric disorders within 3 months were higher for small brain tumors (OR = 128.32, 95% CI = 17.28-952.92 compared to non-cancer controls) while the OR was 2.79 for other cancers (95% CI = 0.86-8.99 compared to non-cancer controls). CONCLUSION: Our findings suggest an association between diagnosed psychiatric illnesses and subsequent brain cancer diagnosis, which may not be solely explained by detection bias. Psychiatric illness might be a sign for early detection of brain cancer beyond the potential effects of detection bias.

Genetic testing in Non-Hispanic Black women with breast cancer treated within an equal-access healthcare system.

PURPOSE: Identification of women with hereditary forms of cancer allows for precision medicine approaches to improve survival. Non-Hispanic Black (NHB) women in the US general population are less likely to undergo genetic testing or utilize risk-reducing strategies. Whether these disparities exist within the equal-access US military healthcare system is not known. METHODS: Genetic test information and surgical procedures were extracted for all NHB and Non-Hispanic Whites (NHW) with invasive breast cancer. National Comprehensive Cancer Network criteria from the year of diagnosis were assessed for all patients. Data were analyzed using chi-square analysis with P < .05 defining significance. RESULTS: NHB were significantly (P = .009) more likely to meet criteria for genetic testing compared to NHW, however, test uptake did not differ significantly between populations (P = .292). While 81% of both populations with BRCA1/2 pathogenic variants elected for double mastectomy, NHW were two times more likely to undergo risk-reducing bilateral salpingo-oophorectomy. CONCLUSION: These data demonstrate that when barriers, such as cost and lack of insurance, were removed, NHB were as willing to pursue testing as their NHW counterparts. Increasing the availability of testing and clinical management for NHB with hereditary forms of cancer may help reduce disparate survival seen in the US general population.

Conditional estimates for uterine serous cancer: Tools for survivorship counseling and planning.

OBJECTIVES: Develop conditional survival and risk-assessment estimates for uterine serous carcinoma (USC) overall and stratified by stage as tools for annual survivorship counseling and care planning. METHODS: Patients in the National Cancer Data Base diagnosed between 2004 and 2014 with stage I-IV USC were eligible. Individuals missing stage or survival data or with multiple malignancies were excluded. Five-year conditional survival was estimated using the stage-stratified Kaplan-Meier method annually during follow-up. A standardized mortality ratio (SMR) estimated the proportion of observed to expected deaths in the U.S. adjusted for year, age, and race. The relationships between prognostic factors and survival were studied using multivariate Cox modeling at diagnosis and conditioned on surviving 5-years. RESULTS: There were 14,575 participants, including 43% with stage I, 8% with stage II, 29% with stage III, and 20% with stage IV USC. Five-year survival at diagnosis vs. after surviving 5-years was 52% vs. 75% overall, 77% vs. 81% for stage I, 57% vs. 72% for stage II, 40% vs. 66% for stage III, and 17% vs. 60% for stage IV USC, respectively (P < 0.0001). Incremental improvements in 5-year conditional survival and reductions in SMR tracked with annual follow-up and higher stage. The adjusted risk of death at diagnosis vs. after surviving 5-years was 1.15 vs. 1.40 per 5-year increase of age, 1.26 vs. 1.68 for Medicaid insurance, 3.92 vs. 2.48 for stage III disease, and 6.65 vs. 2.79 for stage IV disease, respectively (P < 0.0001). CONCLUSION: In USC, the evolution of conditional survival permits annual reassessments of prognosis to tailor survivorship counseling and care planning.

Dual use of cigarettes and smokeless tobacco among active duty service members in the US military.

The high prevalence of dual use of cigarettes and smokeless tobacco is a unique tobacco use behavior in the US military population. However, dual tobacco use has rarely been addressed in active duty populations. We aimed to identify factors contributing to dual tobacco use among active duty service members from Army and Air Force. We also compared age at initiation, duration of use, and amount of use between dual users and exclusive users. The study included 168 exclusive cigarette smokers, 171 exclusive smokeless tobacco users, and 110 dual users. In stepwise logistic regression, smokeless tobacco use among family members (OR = 4.78, 95% CI = 2.05-11.13 for father use vs. no use, OR = 3.39, 95% CI = 1.56-7.37 for other relatives use vs. no use), and deployment history (serving combat unit vs. combat support unit: OR = 4.12, 95% CI = 1.59-10.66; never deployed vs. combat support unit: OR = 3.32, 95% CI = 1.45-7.61) were factors identified to be associated with dual use relative to exclusive cigarette smoking. Cigarette smoking among family members (OR = 1.96, 95% CI = 1.07-3.60 for sibling smoking), high perception of harm using smokeless tobacco (OR = 2.34, 95% CI = 1.29-4.26), secondhand smoke exposure (OR = 4.83, 95% CI = 2.73-8.55), and lower education (associated degree or some college: OR = 2.76, 95% CI = 1.01-7.51; high school of lower: OR = 4.10, 95% CI = 1.45-11.61) were factors associated with dual use relative to exclusive smokeless tobacco use. Compared to exclusive cigarette smokers, dual users started smoking at younger age, smoked cigarettes for longer period, and smoked more cigarettes per day. Our study addressed dual tobacco use behavior in military population and has implications to tobacco control programs in the military.

Racial disparities in survival among women with endometrial cancer in an equal access system.

OBJECTIVE: The mortality rate for Black women with endometrial cancer (EC) is double that of White women, although the incidence rate is lower among Black women. Unequal access to care may contribute to this racial disparity. This study aimed to assess whether survival varied between non-Hispanic Black (NHB) and non-Hispanic White (NHW) women with EC in the Military Health System (MHS) which provides equal access care to its beneficiaries despite racial/ethnic background. METHODS: The study was conducted using data from the U.S. Department of Defense's (DoD) Automated Central Tumor Registry (ACTUR). Study subjects included NHB and NHW women with histologically confirmed and surgically managed EC diagnosed between 1988 and 2013. The study outcome was all-cause death. Overall survival between NHB and NHW women was compared using multivariable Cox modeling. RESULTS: The study included 144 NHB and 1439 NHW women with EC. Kaplan-Meier curves showed NHB women had worse survival than NHW women (log-rank P < 0.0001). The disparity in survival between NHB and NHW women persisted after adjusting for age, diagnosis period, tumor stage, tumor histology/grade, and adjuvant treatment (HR = 1.64, 95% CI = 1.19 to 2.27). Multivariable analyses stratified by tumor features or treatment showed that the racial disparity was confined to women with low-risk features (stage I/II disease or low-grade EC) or no adjuvant treatment. CONCLUSION: There were racial differences in overall survival between NHB and NHW women with EC in the MHS equal access healthcare system, suggesting that factors other than access to care may be related to this racial disparity.

Tumour size and overall survival among surgically treated patients with non-metastatic colon cancer in the U.S. Military Health System.

AIM: Larger tumour size and lymph node involvement traditionally predict poorer survival in colon cancer patients. However, it has been recently suggested that very small tumours (<5 mm) may be a predictor of poor prognosis in colon cancer patients when lymph nodes are involved. This study investigated whether node-positive colon cancer patients with small tumours had worse survival compared to those with larger tumours in the Department of Defense's (DoD) Military Health System (MHS), a universal health care system. METHODS: Surgically treated colon cancer patients were identified from the DoD's Automated Central Tumour Registry (ACTUR). These patients were diagnosed with Stage I-III colon cancer between 1989 and 2010, had one or more lymph nodes examined, did not receive pre-operative radiotherapy and were followed through 2013 to determine vital status. Multivariable Cox models were used to examine survival differences according to tumour size, and data were stratified by lymph node status and age. RESULTS: There were no differences in overall survival according to tumour size in the study population. These findings remained similar in analyses stratified by lymph node status and age. CONCLUSION: In a universal healthcare system, small tumour size is not associated with worse prognosis in node-positive colon cancer patients.

Survival in Pediatric, Adolescent, and Young Adult Patients With Sarcoma in the Military Health System: Comparison With the SEER Population.

BACKGROUND: We sought to compare survival outcomes of sarcomas in the pediatric and adolescent/young adult populations with universal care access in the Military Health System (MHS) to those from the United States general population. METHODS: We compared data from the Department of Defense's (DoD) Automated Central Tumor Registry (ACTUR) and the National Cancer Institute's (NCI) Surveillance, Epidemiology, and End Results (SEER) program on the overall survival of patients 24 years or younger with histologically or microscopically confirmed sarcoma between diagnosed between January 1, 1987, and December 31, 2013. The Kaplan-Meier survival curves were used to compare survival between the 2 patient populations. Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) comparing ACTUR relative to SEER. RESULTS: The final analysis included 309 and 1236 bone sarcoma cases and 465 and 1860 soft tissue sarcoma cases from ACTUR and SEER, respectively. Cox proportional hazards analysis showed soft tissue sarcoma patients in ACTUR had significantly better overall (HR=0.73, 95% CI=0.55-0.98) and 5-year overall (HR=0.63, 95% CI=0.46-0.86) survival compared with SEER patients, but no significant difference in overall or 5-year overall survival between ACTUR and SEER patients with bone sarcoma. CONCLUSION: Survival data from the ACTUR database demonstrated significantly improved overall survival for soft tissue sarcomas and equivalent survival in bone sarcomas compared with that reported by SEER.

Philadelphia Prostate Cancer Genetic Consensus Conference 2019 and implications for military medicine.

INTRODUCTION The objective of our review is to summarize the 2019 Philadelphia Prostate Cancer Genetic Consensus recommendations and discuss their implications to the US Military Health System. MATERIALS AND METHODS: Literature review. RESULTS: Our fighting force and retired service members will significantly benefit from the Philadelphia Prostate Cancer Genetic Consensus recommendations. Moreover, the experience of the equal access US Military Health System may help advancing genetic testing for cancer at national levels. CONCLUSIONS: Priorities recommended by the 2019 Consensus for more research on genetic predisposition to prostate cancer in racially diverse populations is a promising step. The US Military Health System has the ability of providing equal access to implement advanced germline testing for its racially diverse population.

Survival among patients with glioma in the US Military Health System: A comparison with patients in the Surveillance, Epidemiology, and End Results program.

BACKGROUND: Glioma is the most common malignant brain cancer. Accessibility to health care is an important factor affecting cancer outcomes in the US general population. The US Military Health System (MHS) provides universal health care to its beneficiaries. It is unknown whether this universal health care has translated into improved survival outcomes among MHS beneficiaries with glioma. This study compared the overall survival of patients with glioma in the MHS with the overall survival of patients with glioma in the general population. METHODS: The MHS cases were identified from the Department of Defense's Automated Central Tumor Registry (ACTUR). Glioma cases from the general population were identified from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program. SEER cases were matched 2:1 to ACTUR cases by age, sex, race, histology, and diagnosis year. All cases had histologically confirmed glioma diagnosed between January 1, 1987, and December 31, 2013. A Kaplan-Meier analysis was conducted to compare survival between the ACTUR and SEER cases. Multivariable Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). RESULTS: The study included 2231 glioma cases from ACTUR and 4462 cases from SEER. ACTUR cases exhibited significantly better overall survival than SEER cases (HR, 0.74; 95% CI, 0.67-0.83). The survival advantage of the ACTUR patients was observed in most subgroups stratified by age, sex, race, diagnosis year, and histology. For glioblastoma, the survival advantage was observed in both the pre- and post-temozolomide periods. CONCLUSIONS: Universal MHS health care may have translated into improved survival outcomes in glioma. Future studies are warranted to identify factors contributing to the improved survival.

Development and validation of prognostic gene signature for basal-like breast cancer and high-grade serous ovarian cancer.

PURPOSE: Molecular similarities have been reported between basal-like breast cancer (BLBC) and high-grade serous ovarian cancer (HGSOC). To date, there have been no prognostic biomarkers that can provide risk stratification and inform treatment decisions for both BLBC and HGSOC. In this study, we developed a molecular signature for risk stratification in BLBC and further validated this signature in HGSOC. METHODS: RNA-seq data was downloaded from The Cancer Genome Atlas (TCGA) project for 190 BLBC and 314 HGSOC patients. Analyses of differentially expressed genes between recurrent vs. non-recurrent cases were performed using different bioinformatics methods. Gene Signature was established using weighted linear combination of gene expression levels. Their prognostic performance was evaluated using survival analysis based on progression-free interval (PFI) and disease-free interval (DFI). RESULTS: 63 genes were differentially expressed between 18 recurrent and 40 non-recurrent BLBC patients by two different methods. The recurrence index (RI) calculated from this 63-gene signature significantly stratified BLBC patients into two risk groups with 38 and 152 patients in the low-risk (RI-Low) and high-risk (RI-High) groups, respectively (p = 0.0004 and 0.0023 for PFI and DFI, respectively). Similar performance was obtained in the HGSOC cohort (p = 0.0131 and 0.004 for PFI and DFI, respectively). Multivariate Cox regression adjusting for age, grade, and stage showed that the 63-gene signature remained statistically significant in stratifying HGSOC patients (p = 0.0005). CONCLUSION: A gene signature was identified to predict recurrence in BLBC and HGSOC patients. With further validation, this signature may provide an additional prognostic tool for clinicians to better manage BLBC, many of which are triple-negative and HGSOC patients who are currently difficult to treat.