Cardiovascular Disease Incidence and Cardiovascular Health Among Diverse Women With Breast and Gynecologic Cancers.

OBJECTIVES: To examine if racial differences in cardiovascular health (CVH) are associated with cardiovascular disease (CVD) disparities among women with breast and gynecologic cancers. SAMPLE & SETTING: The sample consisted of 252 Black women and 93 White women without a self-reported history of cancer or CVD who developed a breast or gynecologic malignancy. Women who developed CVD before their cancer diagnosis were excluded. METHODS & VARIABLES: CVH was classified using metrics of the American Heart Association's Life's Simple 7 framework. Metrics were summed to create a total CVH score (0-7). Associations among race, ideal CVH (score of 5-7), and CVD incidence following cancer diagnosis were estimated with Cox proportional hazards models. RESULTS: Ideal CVH was similar between Black women (33%) and White women (37%). Race and CVH were not associated with CVD incidence. IMPLICATIONS FOR NURSING: In a small sample of women diagnosed with breast and gynecologic cancers, racial disparities in CVH and CVD incidence were not observed. Additional investigation of potential confounders relating to social determinants of health tied to the construct of race is warranted.

Changes in prospectively collected patient-reported outcomes among women with incident endometrial cancer.

PURPOSE: We examined associations between patient and treatment characteristics with longitudinally collected patient-reported outcome (PRO) measures to provide a data-informed description of the experiences of women undergoing treatment for endometrial cancer. METHODS: We administered National Institutes of Health Patient Reported Outcomes Measurement Information System (PROMIS) questionnaires at the preoperative visit and at 6 and 12 months after surgery. Anxiety, depression, fatigue, sleep disturbance, pain, physical function, and ability to participate in social roles were assessed. Analysis of variance (ANOVA) and linear mixed models were used to examine associations between patient characteristics and PRO measures at baseline and through time. RESULTS: Of 187 women enrolled, 174 (93%) and 103 (69%) completed the 6- and 12-month questionnaires, respectively. Anxiety was substantially elevated at baseline (half of one population-level standard deviation) and returned to general population mean levels at 6 and 12 months. Younger age, Medicaid/None/Self-pay insurance, prevalent diabetes, and current smoking were associated with higher symptom burden on multiple PRO measures across the three time points. Women with aggressive histology, higher disease stage, or those with adjuvant treatment had worse fatigue at 6 months, which normalized by 12 months. CONCLUSIONS: We observed a high symptom burden at endometrial cancer diagnosis, with most PRO measures returning to general population means by 1 year. Information on risk factor-PRO associations can be used during the clinical visit to inform supportive service referral. IMPLICATIONS FOR CANCER SURVIVORS: These findings can inform clinicians' discussions with endometrial cancer survivors regarding expected symptom trajectory following diagnosis and treatment.

Intraluminal tumor cells and prognostic accuracy of endometrial cancer stage criteria: A multi-institution study.

OBJECTIVE: Endometrial cancer stage is a strong prognostic factor; however, the current stage classification does not incorporate transtubal spread as determined by intraluminal tumor cells (ILTCs). We examined relationships between ILTCs and survival outcomes according to histological subtype and stage and examined whether identification of ILTCs improves prognostic accuracy of endometrial cancer staging. METHODS: We conducted a retrospective cohort study of women diagnosed with endometrial cancer at five academic hospitals between 2007 and 2012. Pathologists determined ILTC presence (no vs. yes) and location (free in lumen vs. attached to epithelial surface) based on pathology review of hematoxylin and eosin-stained sections of fallopian tubes. Associations between ILTCs with time to recurrence (TTR) and overall survival (OS) were examined with Cox proportional hazards models adjusted for other prognostic factors. Model discrimination metrics were used to assess the addition of ILTCs to stage for prediction of 5-year TTR and OS. RESULTS: In the overall study population (N = 1303), ILTCs were not independently associated with TTR (HR = 0.95, 95% CI = 0.69-1.32) or OS (HR = 0.97, 95% CI = 0.72-1.31). Among 805 women with stage I disease, ILTCs were independently associated with worse TTR (HR = 2.31, 95% CI = 1.06-5.05) and OS (HR = 2.16, 95% CI = 1.14-4.11). Upstaging early-stage cases with ILTCs present did not increase model discrimination. CONCLUSION: While our data do not suggest that endometrial cancer staging guidelines should be revised to include ILTCs, associations between ILTCs and reduced survival observed among stage I cases suggest this tumor feature holds clinical relevance for subgroups of endometrial cancer patients.

Real-world comparison of survival outcomes with cisplatin versus carboplatin in patients with limited-stage small-cell lung cancer.

INTRODUCTION: Limited-stage small-cell lung cancer (LS-SCLC) is potentially curable with concurrent chemoradiation (CRT). Cisplatin is the preferred platinum for the chemotherapy backbone in national guidelines. Unfortunately, many LS-SCLC patients are elderly, with comorbidities and poor performance status (PS), which preclude the use of cisplatin. Carboplatin may be a suitable alternative. This analysis evaluates the overall survival (OS) and time to next treatment (TTNT) in LS-SCLC patients receiving concurrent CRT by platinum use. MATERIALS AND METHODS: The study included LS-SCLC patients in the Flatiron Health nationwide de-identified electronic health record-derived database who received CRT in 2013-2019 with follow-up through May 2020. TTNT and OS were compared using both unadjusted and inverse propensity-weighted Cox proportional hazards models. RESULTS: This study included patients treated with carboplatin (n = 600) or cisplatin (n = 572) in combination with etoposide and radiation. Cisplatin patients were younger, had a shorter time from diagnosis to radiation, and had less kidney disease. In an unadjusted analysis, median overall survival (mOS) was greater in the cisplatin group than the carboplatin group with mOS of 22.3 months vs. 19.2 months and Hazard Ratio (HR) of 0.83 (p = 0.01). In the inverse propensity-weighted analysis, this difference was no longer significant (HR 0.93, p = 0.37). No differences were seen in TTNT. CONCLUSION: When balancing on key clinical factors, we observed no statistical difference in OS or TTNT by platinum choice in real-world LS-SCLC patients treated with CRT.  Although observational, the results from this large data set are consistent with the hypothesis that either cisplatin or carboplatin is an appropriate therapy regardless of health status.

Association of Telomere Length with Colorectal Cancer Risk and Prognosis: A Systematic Review and Meta-Analysis.

(1) Background: Colorectal cancer risk and survival have previously been associated with telomere length in peripheral blood leukocytes and tumor tissue. A systematic review and meta-analysis of the literature was conducted. The PubMed, Embase, and Web of Science databases were searched through March 2022. (2) Methods: Relevant studies were identified through database searching following PRISMA guidelines. Risk estimates were extracted from identified studies; meta-analyses were conducted using random effects models. (3) Results: Fourteen studies were identified (eight on risk; six on survival) through systematic review. While no association was observed between circulating leukocyte telomere length and the risk of colorectal cancer [overall OR (95% CI) = 1.01 (0.82-1.24)], a worse survival for those with shorter telomeres in leukocytes and longer telomeres in tumor tissues was observed [Quartile1/Quartile2-4 overall HR (95% CI) = 1.41 (0.26-7.59) and 0.82 (0.69-0.98), respectively]. (4) Conclusions: Although there was no association with colorectal cancer risk, a poorer survival was observed among those with shorter leukocyte telomere length. Future larger studies evaluating a potentially non-linear relationship between telomeres and colorectal cancer are needed.

Inflammatory and insulinemic dietary patterns and risk of endometrial cancer among US women.

BACKGROUND: Although unopposed estrogen exposure is considered a major driver of endometrial carcinogenesis, chronic inflammation and insulin resistance and hyperinsulinemia are also major endometrial cancer risk factors. However, it is unclear whether diets with inflammatory or insulinemic potential are associated with risk of endometrial cancer. METHODS: We followed 48 330 women from the Nurses' Health Study (1984-2016) and 85 426 women from the Nurses' Health Study II (1989-2017). Using food frequency questionnaires, we calculated repeated measures of empirical dietary inflammatory pattern (EDIP) and empirical dietary index for hyperinsulinemia (EDIH) scores, which characterize the potential of the whole diet to modulate circulating biomarkers of inflammation or C-peptide, respectively. We used multivariable-adjusted Cox regression to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for type I endometrial cancer risk. RESULTS: We documented 1462 type I endometrial cancer cases over 2 823 221 person-years of follow-up. In the pooled multivariable-adjusted analyses, women in the highest compared with lowest quintiles were at higher risk of type I endometrial cancer (EDIP HRQ5vsQ1 = 1.46, 95% CI = 1.24 to 1.73; Ptrend < .001; EDIH HRQ5vsQ1 = 1.58, 95% CI = 1.34 to 1.87; Ptrend < .001). Additional adjustment for body mass index attenuated the associations (EDIP HR = 1.03, 95% CI = 0.87 to 1.22; EDIH HR = 1.01, 95% CI = 0.85 to 1.21), and mediation analyses showed that body mass index may explain 60.4% (95% CI = 37.4% to 79.6%; P < .001) and 71.8% (95% CI = 41.0% to 90.4%; P < .001) of the association of endometrial cancer with EDIP and EDIH, respectively. CONCLUSIONS: In this large cohort study, higher dietary inflammatory and insulinemic potential were each associated with increased endometrial cancer incidence, and this association may be almost entirely mediated by adiposity.

More than treatment refusal: a National Cancer Database analysis of adjuvant treatment refusal and racial survival disparities among women with endometrial cancer.

BACKGROUND: Disparities in adjuvant treatment between Black and White women with endometrial cancer exist and contribute to worse outcomes among Black women. However, factors leading to disparate treatment receipt are understudied. OBJECTIVE: We examined whether patient refusal of adjuvant treatment (chemotherapy or radiation) differed between Black and White women and whether treatment refusal mediated racial disparities in survival among women with endometrial cancer. STUDY DESIGN: We used the National Cancer Database, a hospital-based cancer registry, to identify non-Hispanic Black and non-Hispanic White women diagnosed with endometrial cancer from 2004 to 2016 who either received or refused recommended radiation or chemotherapy. We used logistic regression to estimate multivariable-adjusted odds ratios and 95% confidence intervals for associations between race and treatment refusal. We also examined predictors of treatment refusal in race-specific models. Accelerated failure time models were used to estimate absolute differences in overall survival by race. We used causal mediation analysis to estimate the proportion of racial differences in overall survival attributable to racial differences in adjuvant treatment refusal. We considered the overall study population and strata defined by histology, and adjusted for sociodemographic, tumor, and facility characteristics. RESULTS: Our analysis included 75,447 endometrial cancer patients recommended to receive radiation and 60,187 endometrial cancer patients recommended to receive chemotherapy, among which 6.4% and 11.4% refused treatment, respectively. Among Black women recommended for radiation or chemotherapy, 6.4% and 9.6% refused, respectively. Among White women recommended for radiation or chemotherapy, 6.4% and 11.8% refused, respectively. After adjusting for sociodemographic variables, facility characteristics, and tumor characteristics, Black women were more likely to refuse chemotherapy than White women (adjusted odds ratio, 1.26; 95% confidence interval, 1.15-1.37), but no difference in radiation refusal was observed (adjusted odds ratio, 1.00; 95% confidence interval, 0.91-1.11). Some predictors of radiation refusal varied by race, namely income, education, histology, stage, and chemotherapy receipt (P interactions<.05), whereas predictors of chemotherapy refusal were generally similar between Black and White women. Among women recommended for radiation, Black women survived an average of 4.3 years shorter than White women, which did not seem attributable to differences in radiation refusal. Among women recommended for chemotherapy, Black women survived an average of 3.2 years shorter than White women of which 1.9 months (4.9%) could potentially be attributed to differences in chemotherapy refusal. CONCLUSION: We observed differences in chemotherapy refusal by race, and those differences may be responsible for up to about 2 months of the overall 3.2-year survival disparity between White and Black women. Radiation refusal did not explain any of the 4.3-year disparity among women recommended for radiation. Treatment refusal accounts for, at most, a small fraction of the total racial disparity in endometrial cancer survival. Although a better understanding of the reasons for patient treatment refusal and subsequent intervention may help improve outcomes for some women, other causes of disparate outcomes, particularly those reflecting the social determinants of health, must be investigated.

Association of circulating leukocyte telomere length with survival in patients with colorectal cancer.

INTRODUCTION: Telomere shortening, as seen with aging, can cause chromosomal instability and promote cancer progression. We investigated the association between circulating telomere length and overall and disease-free survival in a sub-cohort of patients with colorectal cancer. METHODS: Baseline genomic DNA from blood leukocytes was extracted from N = 92 newly diagnosed stage I-IV patients with colorectal cancer enrolled at the ColoCare Study site in Heidelberg, Germany. Detailed information on clinicodemographic (including age) and lifestyle risk factors, and clinical outcomes (including recurrence and survival) was collected. Telomere length was measured in DNA using multiplex quantitative polymerase chain reaction. Kaplan Meier survival curves were generated comparing shorter to longer telomere lengths with log-rank testing. RESULTS: The mean T/S ratio for study patients was 0.5 (range: 0.3-0.9). Shorter telomeres were associated with older age at baseline. Patients with shorter telomeres experienced a worse overall and disease-free survival, although this association did not reach statistical significance. Kaplan-Meier survival curves for those with circulating telomere length below vs. above the median showed poorer overall (log-rank p = 0.31) and disease-free survival (long-rank p = 0.23). CONCLUSIONS: Our results suggest that individuals with shorter telomeres, as seen with aging, may experience a worse overall and disease-free survival after colorectal cancer diagnosis. Larger sample sizes with longer follow-up are needed to further evaluate telomere length as a prognostic biomarker in colorectal cancer progression.

Planning for End of Life.

BACKGROUND: Oncology provider discussions of treatment options, outcomes of treatment, and end of life planning are essential to care for patients with advanced malignancies. Studies have shown that despite this, many patients do not have adequate care planning, including end of life planning. It is thought that the accessibility of information outside of clinical encounters and individual factors and/or beliefs may influence the patient's perception of disease. AIMS: The objective of this study was to evaluate if patient understanding of treatment goals matched the provider and if there were areas of discrepancy. If a discrepancy was found, the survey inquired further into more specific aspects. METHODS: A questionnaire-based survey was performed at a cancer hospital outpatient clinic. 100 consecutive and consenting patients who had stage IV non-curable lung, gastrointestinal (GI), or other cancer were included in the study. Patients must have had at least 2 visits with their oncologist. RESULTS: 40 patients reported their disease might be curable and 60 reported their disease was not curable. Patients who reported their disease was not curable were more likely to be 65 years or older (P-value: 0.055). They were more likely to report that their doctor discussed the possibility of their cancer getting worse (78.3% VS 55%; P-value 0.024), that their doctor discussed end of life plans (58.3% VS 30%; P- value: 0.01), and that they had appointed a health care decision-maker (86.7% VS 62.5%; P-value: 0.01). 65% of patients who thought their disease might be curable reported that their doctor said it might be curable, compared with only 6.7% of patients who thought their disease was not curable (p < 0.001). Or, equivalently, 35% of patients who thought their disease might be curable reported that their doctor's opinion was that it was not curable, compared with 93% of patients who thought their disease was not curable (p < 0.001). Patients who had lung cancer were more likely to believe their cancer was not curable than patients with gastrointestinal or other cancer, though the difference was not statistically significant (p = 0.165). Patients who said their disease might be curable selected as possible reasons that a miracle (50%) or alternative medicine (66.7%) would get rid of the cancer, or said their family wanted them to believe the cancer would go away (16.7%) or that another doctor said it would (4.2%). Patients who said their disease might be curable said they did so due to alternative medications, another doctor, or their family. Restricting to the 70 patients who reported their doctors telling them their disease was not curable, 20% of them still said that they personally felt their disease might be curable. Patients below 65 years of age were more likely to disagree with the doctor in this case (P-value: 0.047). CONCLUSION: This survey of patients diagnosed with stage IV cancer shows that a significant number of patients had misunderstandings of the treatment and curability of their disease. Findings suggest that a notable proportion kept these beliefs even after being told by treating physicians that their disease is not curable.

Where you live matters: A National Cancer Database study of Medicaid expansion and endometrial cancer outcomes.

OBJECTIVE: To determine associations between adoption of Medicaid expansion (ME) and changes in insurance status, early stage diagnosis, and cancer survival among women with endometrial carcinoma (EC). METHODS: The National Cancer Database (NCDB) was queried for patients diagnosed with EC between the age 40-64 from 2004 to 2015. Difference-in-differences analysis quantified the impact of ME on the proportion of new EC diagnoses with insurance (vs. uninsured), the proportion diagnosed with stage I (vs. II-IV), and overall survival. RESULTS: 156,253 patients were included. Among 65,019 women living in ME states, ME is associated with an increase in the percent of EC cases who are insured of 1.4% (95% CI 0.9-2.0%, p < 0.0001), with strongest effects among Hispanic women, women in the lowest income quartile, and women in the second age quartile (age 53-57). There was no overall impact of ME on stage, though an increase of early stage diagnoses by 2.4% (95% CI 0.3-4.5%, p = 0.022) was observed among women age 53-57. There was a trend towards improved overall survival with ME, which was strongest in women age 53-57 (HR = 0.83, 95% CI 0.70-0.99, p = 0.037). CONCLUSIONS: Among women with EC, ME positively impacted insurance coverage, an important hurdle in accessing health care. In women aged 53-57, ME was associated with earlier stage at diagnosis and improved survival, suggesting that the magnitude of the improvement in insurance coverage may correlate with important clinical outcomes. Efforts should continue to understand the complexity of barriers to health care access and to develop effective strategies to surmount them.

Expression of IGF/insulin receptor in prostate cancer tissue and progression to lethal disease.

Circulating insulin-like growth factor-1 (IGF-1) is consistently associated with prostate cancer risk. IGF-1 binds to IGF-1 receptor (IGF1R) and insulin receptor (IR), activating cancer hallmark pathways. Experimental evidence suggests that TMPRSS2:ERG may interact with IGF/insulin signaling to influence progression. We investigated IGF1R and IR expression and its association with lethal prostate cancer among 769 men. Protein expression of IGF1R, IR and ERG (i.e. a surrogate of ERG fusion genes) were assayed by immunohistochemistry. Cox models estimated hazard ratios (HR) and 95% confidence intervals (CI) adjusted for clinical characteristics. Among patients, 29% had strong tumor IGF1R expression and 10% had strong IR expression. During a mean follow-up of 13.2 years through 2012, 80 men (11%) developed lethal disease. Tumors with strong IGF1R or IR expression showed increased cell proliferation, decreased apoptosis and a higher prevalence of ERG. In multivariable models, strong IGF1R was associated with a borderline increased risk of lethal prostate cancer (HR 1.7; 95% CI 0.9-3.1). The association appeared greater in ERG-positive tumors (HR 2.8; 95% CI 0.9-8.4) than in ERG-negative tumors (HR 1.3; 95% CI 0.6-3.0, p-heterogeneity 0.08). There was no association between IR and lethal prostate cancer (HR 0.8; 95% CI 0.4-1.9). These results suggest that tumor IGF1R expression may play a role in prostate cancer progression to a lethal phenotype and that ERG-positive tumors may be more sensitive to IGF signaling. These data may improve our understanding of IGF signaling in prostate cancer and suggest therapeutic options for disease subtypes.

Differential Gene Expression in Prostate Tissue According to Ejaculation Frequency.

In a prospective study of 31 925 men with 18 yr of follow-up, higher ejaculation frequency (EF) throughout adulthood was associated with lower rates of prostate cancer. To further explore this association, we evaluated whole transcriptome gene expression in the prostate tissue from study participants who developed prostate cancer between 1992 and 2004 (n=157 tumor tissue, n=85 adjacent normal). We tested for trends in gene expression according to the level of EF as self-reported in 1992 for ages 20-29 yr, 40-49 yr, and the year prior to the questionnaire, 1991. There were no associations between EF and gene expression in areas of tumor after accounting for multiple testing. In contrast, in the adjacent normal tissue, 409 genes and six pathways were differentially expressed at a false discovery rate ≤0.2 across categories of EF in 1991. These results suggest that ejaculation affects the expression of genes in the normal prostate tissue. The identified genes and pathways provide potential biological links between EF and prostate tumorigenesis. PATIENT SUMMARY: To explore previous findings that men who ejaculate more frequently have lower risk of prostate cancer, we evaluated molecular alterations in the prostate tissue according to each man's frequency of ejaculation prior to diagnosis. We identified biological processes that could link ejaculation frequency and prostate cancer.

PheProb: probabilistic phenotyping using diagnosis codes to improve power for genetic association studies.

Objective: Standard approaches for large scale phenotypic screens using electronic health record (EHR) data apply thresholds, such as ≥2 diagnosis codes, to define subjects as having a phenotype. However, the variation in the accuracy of diagnosis codes can impair the power of such screens. Our objective was to develop and evaluate an approach which converts diagnosis codes into a probability of a phenotype (PheProb). We hypothesized that this alternate approach for defining phenotypes would improve power for genetic association studies. Methods: The PheProb approach employs unsupervised clustering to separate patients into 2 groups based on diagnosis codes. Subjects are assigned a probability of having the phenotype based on the number of diagnosis codes. This approach was developed using simulated EHR data and tested in a real world EHR cohort. In the latter, we tested the association between low density lipoprotein cholesterol (LDL-C) genetic risk alleles known for association with hyperlipidemia and hyperlipidemia codes (ICD-9 272.x). PheProb and thresholding approaches were compared. Results: Among n = 1462 subjects in the real world EHR cohort, the threshold-based p-values for association between the genetic risk score (GRS) and hyperlipidemia were 0.126 (≥1 code), 0.123 (≥2 codes), and 0.142 (≥3 codes). The PheProb approach produced the expected significant association between the GRS and hyperlipidemia: p = .001. Conclusions: PheProb improves statistical power for association studies relative to standard thresholding approaches by leveraging information about the phenotype in the billing code counts. The PheProb approach has direct applications where efficient approaches are required, such as in Phenome-Wide Association Studies.

Detection of endometrial cancer cells in the fallopian tube lumen is associated with adverse prognostic factors and reduced survival.

OBJECTIVE: Stage is a critical determinant of prognosis and treatment for endometrial cancer (EC) patients. Women who have had a tubal ligation for sterilization have improved EC survival, secondary to lower stage at presentation, suggesting that transtubal spread may represent an important route of metastasis. We evaluated detection of intraluminal tumor cells (ILTCs) in relation to tumor characteristics and survival. METHODS: One pathologist retrospectively evaluated hematoxylin and eosin sections of routinely collected fallopian tubes for ILTCs from 295 EC patients, masked to outcome. We used logistic regression to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for associations between demographic (age, race) and clinical [FIGO 2009 stage, lymphovascular space invasion (LVSI), histological subtype] characteristics and ILTCs. Cox regression was used to estimate hazard ratios (HRs) and 95% CIs for associations between ILTCs and recurrence-free survival (RFS) and EC-specific survival, overall and stratified by histological subtype or stage. RESULTS: In univariable logistic regression models, age (55-64 vs. ≥65: OR = 3.41, 95% CI = 1.48-7.84), stage (stage IV vs. stage I OR = 14.58, 95% CI = 5.27-40.35), LVSI (OR = 2.93, 95% CI = 1.42-6.04), and histological subtype (serous vs. low-grade endometrioid OR = 3.21, 95% CI = 1.08-9.58), were associated with ILTCs. Only age and stage remained significantly associated with ILTCs in adjusted models. ILTCs were significantly associated with lower EC-specific survival among women with serous EC or stage I disease; however, adjustment for age, stage, and histology attenuated these associations. CONCLUSION: Our findings suggest that ILTCs are associated with adverse EC prognostic features and reduced survival in cases of early stage or serous histology.

Pathway aggregation for survival prediction via multiple kernel learning.

Attempts to predict prognosis in cancer patients using high-dimensional genomic data such as gene expression in tumor tissue can be made difficult by the large number of features and the potential complexity of the relationship between features and the outcome. Integrating prior biological knowledge into risk prediction with such data by grouping genomic features into pathways and networks reduces the dimensionality of the problem and could improve prediction accuracy. Additionally, such knowledge-based models may be more biologically grounded and interpretable. Prediction could potentially be further improved by allowing for complex nonlinear pathway effects. The kernel machine framework has been proposed as an effective approach for modeling the nonlinear and interactive effects of genes in pathways for both censored and noncensored outcomes. When multiple pathways are under consideration, one may efficiently select informative pathways and aggregate their signals via multiple kernel learning (MKL), which has been proposed for prediction of noncensored outcomes. In this paper, we propose MKL methods for censored survival outcomes. We derive our approach for a general survival modeling framework with a convex objective function and illustrate its application under the Cox proportional hazards and semiparametric accelerated failure time models. Numerical studies demonstrate that the proposed MKL-based prediction methods work well in finite sample and can potentially outperform models constructed assuming linear effects or ignoring the group knowledge. The methods are illustrated with an application to 2 cancer data sets.

Kernel machine score test for pathway analysis in the presence of semi-competing risks.

In cancer studies, patients often experience two different types of events: a non-terminal event such as recurrence or metastasis, and a terminal event such as cancer-specific death. Identifying pathways and networks of genes associated with one or both of these events is an important step in understanding disease development and targeting new biological processes for potential intervention. These correlated outcomes are commonly dealt with by modeling progression-free survival, where the event time is the minimum between the times of recurrence and death. However, identifying pathways only associated with progression-free survival may miss out on pathways that affect time to recurrence but not death, or vice versa. We propose a combined testing procedure for a pathway's association with both the cause-specific hazard of recurrence and the marginal hazard of death. The dependency between the two outcomes is accounted for through perturbation resampling to approximate the test's null distribution, without any further assumption on the nature of the dependency. Even complex non-linear relationships between pathways and disease progression or death can be uncovered thanks to a flexible kernel machine framework. The superior statistical power of our approach is demonstrated in numerical studies and in a gene expression study of breast cancer.

Life after endometrial cancer: A systematic review of patient-reported outcomes.

BACKGROUND: Women with endometrial cancer (EC) are the second largest population of female cancer survivors in the United States. However, the outcomes of EC survivors, from the patient perspective, are not well-understood. Therefore, we conducted a systematic review of patient-reported outcomes (PROs) following an EC diagnosis. METHODS: We searched MEDLINE, EMBASE, Scopus, CINAHL, and reference lists to identify published observational studies that examined PROs among women with EC. Reviewers independently reviewed eligible full-text study articles and conducted data extraction. We qualitatively summarized included articles according to exposures [e.g. body mass index (BMI), treatment, etc.] or specific PROs (e.g. sexual function). RESULTS: Of 1722 unique studies, 102 full-text articles were reviewed, of which a total of 27 studies fulfilled the inclusion criteria. The most commonly used PRO questionnaires were the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Core 30 (EORTC QLQ-C30) (n=9), Short Form 36 Questionnaire (SF-36, n=8), the Functional Assessment of Cancer Therapy-General (FACT-G, n=5), and the Female Sexual Function Index (FSFI, n=4). Obesity was associated with lower quality of life (QOL) and physical functioning. Treatment type affected several outcomes. Laparoscopy generally resulted in better QOL outcomes than laparotomy. Likewise, vaginal brachytherapy was associated with better outcomes compared to external beam radiation. Sexual function outcomes were dependent on age, time since diagnosis, and having consulted a physician before engaging in sexual activities. In addition, a physical activity intervention was associated with improved sexual interest but not sexual function. CONCLUSIONS: Our review provides insight into the experience of EC survivors from the patient perspective. Factors that contribute to QOL, such as pain, fatigue, emotional and social functioning, should be monitored following an EC diagnosis.

Gene expression profiling of prostate tissue identifies chromatin regulation as a potential link between obesity and lethal prostate cancer.

BACKGROUND: Obese men are at higher risk of advanced prostate cancer and cancer-specific mortality; however, the biology underlying this association remains unclear. This study examined gene expression profiles of prostate tissue to identify biological processes differentially expressed by obesity status and lethal prostate cancer. METHODS: Gene expression profiling was performed on tumor (n = 402) and adjacent normal (n = 200) prostate tissue from participants in 2 prospective cohorts who had been diagnosed with prostate cancer from 1982 to 2005. Body mass index (BMI) was calculated from the questionnaire immediately preceding cancer diagnosis. Men were followed for metastases or prostate cancer-specific death (lethal disease) through 2011. Gene Ontology biological processes differentially expressed by BMI were identified using gene set enrichment analysis. Pathway scores were computed by averaging the signal intensities of member genes. Odds ratios (ORs) for lethal prostate cancer were estimated with logistic regression. RESULTS: Among 402 men, 48% were healthy weight, 31% were overweight, and 21% were very overweight/obese. Fifteen gene sets were enriched in tumor tissue, but not normal tissue, of very overweight/obese men versus healthy-weight men; 5 of these were related to chromatin modification and remodeling (false-discovery rate < 0.25). Patients with high tumor expression of chromatin-related genes had worse clinical characteristics (Gleason grade > 7, 41% vs 17%; P = 2 × 10-4 ) and an increased risk of lethal disease that was independent of grade and stage (OR, 5.26; 95% confidence interval, 2.37-12.25). CONCLUSIONS: This study improves our understanding of the biology of aggressive prostate cancer and identifies a potential mechanistic link between obesity and prostate cancer death that warrants further study. Cancer 2017;123:4130-4138. © 2017 American Cancer Society.

Prognostic Utility of a New mRNA Expression Signature of Gleason Score.

PURPOSE: Gleason score strongly predicts prostate cancer mortality; however, scoring varies among pathologists, and many men are diagnosed with intermediate-risk Gleason score 7. We previously developed a 157-gene signature for Gleason score using a limited gene panel. Using a new whole-transcriptome expression dataset, we verified the previous signature's performance and developed a new Gleason signature to improve lethal outcome prediction among men with Gleason score 7. EXPERIMENTAL DESIGN: We generated mRNA expression data from prostate tumor tissue from men in the Physicians' Health Study and Health Professionals Follow-Up Study (N = 404) using the Affymetrix Human Gene 1.0 ST microarray. The Prediction Analysis for Microarrays method was used to develop a signature to distinguish high (≥8) versus low (≤6) Gleason score. We evaluated the signature's ability to improve prediction of lethality among men with Gleason score 7, adjusting for 3 + 4/4 + 3 status, by quantifying the area under the receiver operating characteristic (ROC) curve (AUC). RESULTS: We identified a 30-gene signature that best distinguished Gleason score ≤6 from ≥8. The AUC to predict lethal disease among Gleason score 7 men was 0.76 [95% confidence interval (CI), 0.67-0.84] compared with 0.68 (95% CI, 0.59-0.76) using 3 + 4/4 + 3 status alone (P = 0.0001). This signature was a nonsignificant (P = 0.09) improvement over our previous signature (AUC = 0.72). CONCLUSIONS: Our new 30-gene signature improved prediction of lethality among men with Gleason score 7. This signature can potentially become a useful prognostic tool for physicians to improve treatment decision making. Clin Cancer Res; 23(1); 81-87. ©2016 AACRSee related commentary by Yin et al., p. 6.

The role of tumor metabolism as a driver of prostate cancer progression and lethal disease: results from a nested case-control study.

BACKGROUND: Understanding the biologic mechanisms underlying the development of lethal prostate cancer is critical for improved therapeutic and prevention strategies. In this study we explored the role of tumor metabolism in prostate cancer progression using mRNA expression profiling of seven metabolic pathways; fatty acid metabolism, glycolysis/gluconeogenesis, oxidative phosphorylation, pentose phosphate, purine metabolism, pyrimidine metabolism and the tricarboxylic acid cycle. METHODS: The study included 404 men with archival formalin-fixed, paraffin-embedded prostate tumor tissue from the prospective Health Professionals Follow-up Study and Physicians' Health Study. Lethal cases (n = 113) were men who experienced a distant metastatic event or died of prostate cancer during follow-up. Non-lethal controls (n = 291) survived at least 8 years post-diagnosis without metastases. Of 404 men, 202 additionally had matched normal tissue (140 non-lethal, 62 lethal). Analyses compared expression levels between tumor and normal tissue, by Gleason grade and by lethal status. Secondary analyses considered the association with biomarkers of cell proliferation, apoptosis and angiogenesis. RESULTS: Oxidative phosphorylation and pyrimidine metabolism were identified as the most dysregulated pathways in lethal tumors (p < 0.007), and within these pathways, a number of novel differentially expressed genes were identified including POLR2K and APT6V1A. The associations were tumor specific as there was no evidence any pathways were altered in the normal tissue of lethal compared to non-lethal cases. CONCLUSIONS: The results suggest prostate cancer progression and lethal disease are associated with alterations in key metabolic signaling pathways. Pathways supporting proliferation appeared to be of particular importance in prostate tumor aggressiveness.