Survival among Breast Cancer Patients: Comparison of the U.S. Military Health System with the Surveillance, Epidemiology and End Results Program

Survival Among Patients With Multiple Myeloma in the United States Military Health System Compared to the Surveillance, Epidemiology, and End Results (SEER) Program

BACKGROUND

Access to health care is an important factor affecting survival of patients with multiple myeloma (MM) in the U.S. general population. The U.S. Military Health System (MHS) provides universal health care to beneficiaries and has been associated with improved survival across multiple malignancies. In this study, we compared survival of MHS beneficiaries with MM with MM patients from the U.S. general population.

MATERIALS AND METHODS

The Department of Defense's Automated Central Tumor Registry (ACTUR) and the Surveillance, Epidemiology and End Results (SEER) databases were used to extract data for MM patients from MHS and the U.S. general population, respectively. Patients had histologically confirmed MM between 1987 and 2013 and were followed through 2015 for overall survival. Two SEER patients were matched to each ACTUR patient by age group, sex, race, and diagnosis year group. Five and 10-year survival was compared between ACTUR and SEER patients to estimate hazard ratios (HRs) and 95% confidence intervals (95% CI) with adjustment for potential confounders.

RESULTS

Median survival of the ACTUR patients was 47.1 months (95% CI: 43.9-50.4) compared to 33.0 months (95% CI, 32.0-35.0) of the SEER patients. Five and 10-year death rates were significantly lower for ACTUR patients than the SEER patients with an adjusted HR of 0.74 (95% CI, 0.68-0.81) and 0.79 (95% CI, 0.74-0.85), respectively. The survival advantage of ACTUR patients was preserved when stratified by age, sex, race, and diagnosis year.

CONCLUSION

MHS beneficiaries with MM had improved overall survival compared to MM patients from the U.S. general population.

Bone Sarcoma Survival in the US Military Health System: Comparison With the SEER Program

BACKGROUND

Access to care is associated with cancer survival. The US Military Health System (MHS) provides universal health care to all beneficiaries. However, it is unknown whether survival among patients with bone sarcoma in a health system providing universal care is better than that in the general population. The aim of the study was to compare survival of patients with bone sarcoma in the US MHS with that of the US general population.

METHODS

The MHS data were obtained from the Department of Defense Automated Central Tumor Registry (ACTUR). The US general population data were obtained from the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) registry. Adult patients were defined as those aged 25 years or older with a histologically confirmed musculoskeletal bone sarcoma diagnosed from January 1, 1987, to December 31, 2013. Kaplan-Meier survival curves and multivariable Cox proportional hazards models were used to compare the overall survival of the two populations.

RESULTS

The final analysis included 2,273 bone sarcoma cases from ACTUR and 9,092 bone sarcoma cases from SEER. ACTUR patients had significant lower 5-year all-cause death (hazard ratio = 0.72; 95% CI, 0.66 to 0.78) after adjustment for the potential confounders. ACTUR patients with bone sarcoma also exhibited significantly lower risk of all-cause death during the entire follow-up period than the SEER patients (hazard ratio = 0.75; 95% CI, 0.6 to 0.81).

CONCLUSIONS

MHS beneficiaries with bone sarcoma may have longer survival than SEER patients. Our findings support the role of universal access to high-quality care in improving bone sarcoma outcomes.

Epithelial ovarian cancer survival by race and ethnicity in an equal-access healthcare population

BACKGROUND

Previous studies in the general population observed that compared with non-Hispanic White women, Pacific Islander and Black women have higher age-adjusted mortality rates from epithelial ovarian cancer (EOC), while Asian American patients have lower mortality. We investigated whether race and ethnicity is associated with differences in EOC survival in a United States Military population where patients have equal access to healthcare.

METHODS

This retrospective study included women diagnosed with EOC between 2001 and 2018 among Department of Defense beneficiaries. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox proportional hazards regression models adjusting for age and year of diagnosis, histology and stage.

RESULTS

In our study population of 1230 invasive EOC cases (558 non-Hispanic White, 74 non-Hispanic Black, 73 Asian, 30 Pacific Islander and 36 Hispanic cases), 63% of the women died (all-cause death) after a mean = 4.8 years (SD = 4.1) of follow-up following diagnosis. Compared with non-Hispanic White cases, Asian cases had better overall survival, HR = 0.76 (95% CI = 0.58-0.98), whereas there were no differences in survival for other racial and ethnic groups.

CONCLUSIONS

These findings highlight the need to investigate how differences in access to healthcare may influence observed racial and ethnic disparities for EOC.

Cancer stage at diagnosis: Comparison of insurance status in SEER to the Department of Defense Cancer Registry

BACKGROUND

Military individuals, retirees, and their families have free care or minimal out-of-pocket costs in the US military health system (MHS). In contrast, out-of-pocket costs in the US general population vary substantially. This study compared cancer patients with various insurance types in the general population to those in the MHS in cancer stage at diagnosis.

METHODS

Patients were identified from the US Department of Defense's (DoD) Automated Central Tumor Registry (ACTUR) and the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) program. Tumor stage at diagnosis of breast, prostate, lung, and colon cancers during 2007-2013 was compared between ACTUR and SEER insurance categories of "insured," "insured-no specifics," "any Medicaid," and "uninsured," A multivariable logistic regression analysis estimated the odds ratio (OR) of late stage (Stages III and IV) versus early stage (Stages I and II) cancers comparing SEER insurance status to ACTUR.

RESULTS

There were 18,440 eligible patients identified from ACTUR and 831,959 patients identified from SEER. For all cancer types, patients in the SEER-insured/no specifics, Medicaid, and uninsured groups had significantly greater likelihood of late stage diagnosis compared to ACTUR patients. The adjusted ORs were greatest among uninsured and Medicaid patients. The SEER-insured group also had a significantly higher odds of advanced stage disease than ACTUR patients for prostate cancer and lung cancer.

CONCLUSION

Patients in the MHS with universal access to healthcare were diagnosed at an earlier stage than those in the general population. This difference was most evident compared to Medicaid and uninsured groups.

Racial and ethnic differences in tumor characteristics among endometrial cancer patients in an equal-access healthcare population

PURPOSE

There are racial and ethnic differences in endometrial cancer incidence and mortality rates; compared with Non-Hispanic White women, Black women have a similar incidence rate for endometrial cancer, but their mortality is higher. Pacific Islander women may also have worse outcomes compared to their White counterparts. We assessed tumor characteristics and adjuvant therapy by racial and ethnic group among endometrial cancer patients treated within the Military Health System, an equal access healthcare organization.

METHODS

We retrospectively identified women diagnosed with invasive endometrial cancer among US Department of Defense beneficiaries reported in the Automated Central Tumor Registry database (year of diagnosis: 2001-2018). We compared tumor characteristics and receipt of adjuvant therapy across racial and ethnic groups using Chi-square or Fisher tests. Hazard ratios (HRs) and 95% confidence intervals (CIs) for risk of all cause mortality were calculated using Cox proportional hazards regression models adjusting for age at diagnosis, adjuvant therapy, histology and stage.

RESULTS

The study included 2574 endometrial cancer patients [1729 Non-Hispanic White, 318 Asian, 286 Black, 140 Pacific Islander and 101 Hispanic women]. Among all cases, a higher proportion of Black patients had non-endometrioid histology (46.5% versus ≤ 29.3% in other groups, P < 0.01) and grade 3-4 tumors (40.1% versus ≤ 29.3% in other groups, P < 0.01). In multivariable Cox models, compared with Non-Hispanic White cases, Black endometrial cancer patients had a higher mortality risk (HR 1.43, 95% CI, 1.13-1.83). There was no difference in mortality risk for other racial and ethnic groups.

CONCLUSION

Black patients with endometrial cancer presented with more aggressive tumor features and they had worse overall survival compared with patients in other racial and ethnic groups. Further study is needed to better direct preventive and therapeutic efforts in order to correct endometrial cancer disparities in the future.

MilCanEpi: Increased Capability for Cancer Care Research in the Department of Defense

The Military Health System (MHS) of the US Department of Defense (DoD) provides comprehensive medical care to over nine million beneficiaries, including active-duty members, reservists, activated National Guard, military retirees, and their family members. The MHS generates an extensive database containing administrative claims and medical encounter data, while the DoD also maintains a cancer registry that collects information about the occurrence of cancer among its beneficiaries who receive care at military treatment facilities. Collating data from the two sources diminishes the limitations of using registry or medical claims data alone for cancer research and extends their usage. To facilitate cancer research using the unique military health resources, a computer interface linking the two databases has been developed, called Military Cancer Epidemiology, or MilCanEpi. The intent of this article is to provide an overview of the MilCanEpi data system, describing its components, structure, potential uses, and limitations.

Analysis of Breast Cancer Differences between China and Western Countries Based on Radiogenomics

Using radiogenomics methods, the differences between tumor imaging data and genetic data in Chinese and Western breast cancer (BC) patients were analyzed, and the correlation between phenotypic data and genetic data was explored. In this paper, we analyzed BC patients' image characteristics and transcriptome data separately, then correlated the magnetic resonance imaging (MRI) phenotype with the transcriptome data through a computational method to develop a radiogenomics feature. The data was fed into the designed random forest (RF) model, which used the area under the receiver operating curve (AUC) as the evaluation index. Next, we analyzed the hub genes in the differentially expressed genes (DEGs) and obtained seven hub genes, which may cause Chinese and Western BC patients to behave differently in the clinic. We demonstrated that combining relevant genetic data and imaging features could better classify Chinese and Western patients than using genes or imaging characteristics alone. The AUC values of 0.74, 0.81, and 0.95 were obtained separately using the image characteristics, DEGs, and radiogenomics features. We screened SYT4, GABRG2, CHGA, SLC6A17, NEUROG2, COL2A1, and MATN4 and found that these genes were positively or negatively correlated with certain imaging characteristics. In addition, we found that the SLC6A17, NEUROG2, CHGA, and MATN4 genes were associated with clinical features.