Socioeconomic inequality and omission of adjuvant radiation therapy in high-risk, early-stage endometrial cancer

Challenges in implementation of molecular classification in early stage endometrial cancer-An NRG Oncology cooperative group mixed-methods study

BACKGROUND

Professional guidelines recommend molecular profiling for mismatch repair (MMR), p53, and polymerase epsilon (POLE) status in endometrial cancer (EC). However, adoption in the United States has not been documented, and barriers to the implementation of testing have not been described.

METHODS

In this mixed-methods study, implementation science frameworks were used to develop a quantitative survey. Gynecologic oncologists, medical oncologists, radiation oncologists, and pathologists affiliated with NRG Oncology programs were contacted through snowball sampling and were surveyed during 2022-2023. A subset of respondents was interviewed. Statistical and thematic analyses were performed.

RESULTS

At least 403 NRG Oncology-affiliated providers were contacted for the survey, and 107 (26.6%) responded. Greater than 90% of respondents perceived POLE, MMR, and p53 status as important for clinical care. MMR and p53 tests were perceived as easy to obtain, but only 24.2% of respondents reported that POLE testing was moderately or very easy to obtain. Respondents from academic sites reported better access to molecular classification and perceived greater importance of molecular classification compared with respondents from community sites. In thematic analysis of 13 qualitative interviews, cost concerns were reported as large barriers to testing. Interviewees reported a desire for prospective data to guide treatment selection based on classification results.

CONCLUSIONS

Although integrating molecular classification into standard pathologic reporting is recommended, and clinicians perceive molecular profiling in early stage EC as important, survey respondents noted significant implementation barriers. Implementation challenges that differ between community oncology and academic practice settings were identified. Strategies to improve equitable access to molecular classification of early stage EC are needed.

Global Workforce and Access: Demand, Education, Quality

There has long existed a substantial disparity in access to radiotherapy globally. This issue has only been exacerbated as the growing disparity of cancer incidence between high-income countries (HIC) and low and middle-income countries (LMICs) widens, with a pronounced increase in cancer cases in LMICs. Even within HICs, iniquities within local communities may lead to a lack of access to care. Due to these trends, it is imperative to find solutions to narrow global disparities. This requires the engagement of a diverse cohort of stakeholders, including working professionals, non-governmental organizations, nonprofits, professional societies, academic and training institutions, and industry. This review brings together a diverse group of experts to highlight critical areas that could help reduce the current global disparities in radiation oncology. Advancements in technology and treatment, such as artificial intelligence, brachytherapy, hypofractionation, and digital networks, in combination with implementation science and novel funding mechanisms, offer means for increasing access to care and education globally. Common themes across sections reveal how utilizing these new innovations and strengthening collaborative efforts among stakeholders can help improve access to care globally while setting the framework for the next generation of innovations.

Travel-Time Disparities in Access to Proton Beam Therapy for Cancer Treatment

Importance

Proton beam therapy is an emerging radiotherapy treatment for patients with cancer that may produce similar outcomes as traditional photon-based therapy for many cancers while delivering lower amounts of toxic radiation to surrounding tissue. Geographic proximity to a proton facility is a critical component of ensuring equitable access both for indicated diagnoses and ongoing clinical trials.

Objective

To characterize the distribution of proton facilities in the US, quantify drive-time access for the population, and investigate the likelihood of long commutes for certain population subgroups.

Design, Setting, and Participants

This population-based cross-sectional study analyzed travel times to proton facilities in the US. Census tract variables in the contiguous US were measured between January 1, 2017, and December 31, 2021. Statistical analysis was performed from September to November 2023.

Exposures

Drive time in minutes to nearest proton facility. Population totals and prevalence of specific factors measured from the American Community Survey: age; race and ethnicity; insurance, disability, and income status; vehicle availability; broadband access; and urbanicity.

Main Outcomes and Measures

Poor access to proton facilities was defined as having a drive-time commute of at least 4 hours to the nearest location. Median drive time and percentage of population with poor access were calculated for the entire population and by population subgroups. Univariable and multivariable odds of poor access were also calculated for certain population subgroups.

Results

Geographic access was considered for 327 536 032 residents of the contiguous US (60 594 624 [18.5%] Hispanic, 17 974 186 [5.5%] non-Hispanic Asian, 40 146 994 [12.3%] non-Hispanic Black, and 195 265 639 [59.6%] non-Hispanic White; 282 031 819 [86.1%] resided in urban counties). The median (IQR) drive time to the nearest proton facility was 96.1 (39.6-195.3) minutes; 119.8 million US residents (36.6%) lived within a 1-hour drive of the nearest proton facility, and 53.6 million (16.4%) required a commute of at least 4 hours. Persons identifying as non-Hispanic White had the longest median (IQR) commute time at 109.8 (48.0-197.6) minutes. Multivariable analysis identified rurality (odds ratio [OR], 2.45 [95% CI, 2.27-2.64]), age 65 years or older (OR, 1.09 [95% CI, 1.06-1.11]), and living below the federal poverty line (OR, 1.22 [1.20-1.25]) as factors associated with commute times of at least 4 hours.

Conclusions and Relevance

This cross-sectional study of drive-time access to proton beam therapy found that disparities in access existed among certain populations in the US. These results suggest that such disparities present a barrier to an emerging technology in cancer treatment and inhibit equitable access to ongoing clinical trials.

Preoperative radiation therapy increases adherence in patients with high-risk extremity soft tissue sarcoma

BACKGROUND

Surgery and radiation therapy remain the standard of care for patients with high-grade extremity soft tissue sarcoma that are >5 cm. Radiation therapy is time and labor-intensive for patients, and social determinants of health may affect adherence. The aim of this study was to define demographic, clinical, and treatment factors associated with the completion of radiation therapy and determine if preoperative radiation therapy improved adherence compared to postoperative radiation therapy.

METHODS

The cohort included patients in the National Cancer Database with high-grade extremity soft tissue sarcoma >5 cm without nodal or distant metastases who received limb-sparing surgery and radiation therapy with microscopically negative R0 margins. Multivariable logistic regression analyses identified factors associated with radiation therapy sequencing and adherence (defined as completion of 50 Gy preoperative radiation therapy or at least 60 Gy postoperative radiation therapy). A multivariable Cox Proportional Hazards model assessed overall survival.

RESULTS

Among 2,145 patients, 47.1% received preoperative radiation therapy (n = 1,010), and 52.9% (n = 1135) received postoperative radiation therapy. A greater proportion of patients treated with preoperative (77.2%) versus postoperative radiation therapy (64.9%, P < .0001) received the recommended dose. More patients with private insurance (49.8% vs 35.3% Medicaid vs 44.9% Medicare, P = .011) and patients treated at an academic medical center (52.6% vs 47.4%, P < .001) received preoperative radiation therapy. Patients who received preoperative radiation therapy had lower odds of receiving insufficient doses of radiation therapy (odds ratio 0.34 [95% CI 0.27-0.47]). Neither radiation therapy adherence nor sequencing were independent predictors of overall survival.

CONCLUSIONS

Patients who received preoperative radiation therapy were more likely to complete therapy and receive an optimal dose than patients treated with postoperative radiation therapy. Preoperative radiation therapy improves adherence and should be widely considered in patients with high-grade extremity soft tissue sarcoma, particularly in patients at risk for not completing therapy.

Molecular subtypes of endometrial cancer: Implications for adjuvant treatment strategies

BACKGROUND

When determining adjuvant treatment for endometrial cancer, the decision typically relies on factors such as cancer stage, histologic grade, subtype, and a few histopathologic markers. The Cancer Genome Atlas revealed molecular subtyping of endometrial cancer, which can provide more accurate prognostic information and guide personalized treatment plans.

OBJECTIVE

To summarize the expression and molecular basis of the main biomarkers of endometrial cancer.

SEARCH STRATEGY

PubMed was searched from January 2000 to March 2023.

SELECTION CRITERIA

Studies evaluating molecular subtypes of endometrial cancer and implications for adjuvant treatment strategies.

DATA COLLECTION AND ANALYSIS

Three authors independently performed a comprehensive literature search, collected and extracted data, and assessed the methodological quality of the included studies.

MAIN RESULTS

We summarized the molecular subtyping of endometrial cancer, including mismatch repair deficient, high microsatellite instability, polymerase epsilon (POLE) exonuclease domain mutated, TP53 gene mutation, and non-specific molecular spectrum. We also summarized planned and ongoing clinical trials and common therapy methods in endometrial cancer. POLE mutated endometrial cancer consistently exhibits favorable patient outcomes, regardless of adjuvant therapy. Genomic similarities between p53 abnormality endometrial cancer and high-grade serous ovarian cancer suggested possible overlapping treatment strategies. High levels of immune checkpoint molecules, such as programmed cell death 1 and programmed cell death 1 ligand 1 can counterbalance mismatch repair deficient endometrial cancer immune phenotype. Hormonal treatment is an appealing option for high-risk non-specific molecular spectrum endometrial cancers, which are typically endometrioid and hormone receptor positive. Combining clinical and pathologic characteristics to guide treatment decisions for patients, including concurrent radiochemotherapy, chemotherapy, inhibitor therapy, endocrine therapy, and immunotherapy, might improve the management of endometrial cancer and provide more effective treatment options for patients.

CONCLUSIONS

We have characterized the molecular subtypes of endometrial cancer and discuss their value in terms of a patient-tailored therapy in order to prevent significant under- or overtreatment.

Disparities in Gynecologic Cancers

ABSTRACT

Gynecologic cancer disparities have different trends by cancer type and by sociodemographic/economic factors. We highlight disparities in the United States arising due to poor delivery of cancer care across the continuum from primary prevention, detection, and diagnosis through treatment and identify opportunities to eliminate/reduce disparities to achieve cancer health equity. Our review documents the persistent racial and ethnic disparities in cervical, ovarian, and uterine cancer outcomes, with Black patients experiencing the worst outcomes, and notes literature investigating social determinants of health, particularly access to care. Although timely delivery of screening and diagnostic evaluation is of paramount importance for cervical cancer, efforts for ovarian and uterine cancer need to focus on timely recognition of symptoms, diagnostic evaluation, and delivery of guideline-concordant cancer treatment, including tumor biomarker and somatic/germline genetic testing.

Natural Language Processing Methods to Empirically Explore Social Contexts and Needs in Cancer Patient Notes

PURPOSE

There is an unmet need to empirically explore and understand drivers of cancer disparities, particularly social determinants of health. We explored natural language processing methods to automatically and empirically extract clinical documentation of social contexts and needs that may underlie disparities.

METHODS

This was a retrospective analysis of 230,325 clinical notes from 5,285 patients treated with radiotherapy from 2007 to 2019. We compared linguistic features among White versus non-White, low-income insurance versus other insurance, and male versus female patients' notes. Log odds ratios with an informative Dirichlet prior were calculated to compare words over-represented in each group. A variational autoencoder topic model was applied, and topic probability was compared between groups. The presence of machine-learnable bias was explored by developing statistical and neural demographic group classifiers.

RESULTS

Terms associated with varied social contexts and needs were identified for all demographic group comparisons. For example, notes of non-White and low-income insurance patients were over-represented with terms associated with housing and transportation, whereas notes of White and other insurance patients were over-represented with terms related to physical activity. Topic models identified a social history topic, and topic probability varied significantly between the demographic group comparisons. Classification models performed poorly at classifying notes of non-White and low-income insurance patients (F1 of 0.30 and 0.23, respectively).

CONCLUSION

Exploration of linguistic differences in clinical notes between patients of different race/ethnicity, insurance status, and sex identified social contexts and needs in patients with cancer and revealed high-level differences in notes. Future work is needed to validate whether these findings may play a role in cancer disparities.

Landmark Series on Disparities: Uterine Cancer and Strategies for Mitigation

Longstanding racial disparities exist in uterine cancer. There is a growing body of literature documenting differences in the prevalence, diagnosis, treatment, and tumor characteristics of uterine cancer in Black women compared with White women that significantly contribute to the outcome disparity seen between the groups. This article seeks to provide an overview of racial disparities present in uterine cancer, with attention on Black women in the USA, as well as offer a review on the multifactorial etiology of the disparities described.

Patient characteristics and health system factors associated with adjuvant radiation therapy receipt in older women with early-stage endometrial cancer

INTRODUCTION

Among women with early-stage endometrial cancer (EC), age, stage, grade, and histology are used to determine fitness for adjuvant radiation therapy (RT) administration. We examined non-cancer factors associated with adjuvant RT receipt in older women with early-stage EC.

MATERIALS & METHODS

Using data from the Surveillance Epidemiology and End Results cancer registry program linked with Medicare claims, we identified 25,654 women (aged ≥66 years) diagnosed with first primary stage I-II EC during 2004-2017 who underwent a hysterectomy. Diagnosis and procedure codes were used to identify adjuvant RT claims filed for the seven-month period post-hysterectomy. Multivariable log-binomial regression was used to estimate adjuvant RT prevalence associated with patient characteristics and health system factors after adjustment for age, frailty, and endometrial factors.

RESULTS

Adjuvant RT was less commonly administered to Asian American and Pacific Islander patients than non-Hispanic White patients (Prevalence ratio [PR], 0.84; 95% confidence interval [CI], 0.73 to 0.97). Compared to women treated in the Northeast region, women treated other regions of the US were less likely to undergo adjuvant RT (PR, 0.75; 95% CI, 0.71 to 0.79). Residing in rural or high neighborhood-poverty counties was associated with lower adjuvant RT administration. Higher comorbidity score was not associated with reduced prevalence of adjuvant RT receipt; however, women with high probability of predicted probability of frailty were less likely to undergo adjuvant RT (PR, 0.67; 95% CI, 0.55 to 0.81) compared to women with low probability of frailty. Women who received lymph node assessment were more likely to undergo adjuvant RT compared to women who did not (PR, 1.43; 95% CI, 1.34 to 1.51). Women treated by a gynecologic oncologist were more likely to undergo adjuvant RT compared to women treated by a non-gynecologic oncologist (PR 1.09; 95% CI, 1.04 to 1.14). Adjuvant RT was more commonly administered to women treated in larger academic hospitals.

DISCUSSION

Findings suggest that various non-cancer factors affect the delivery of adjuvant RT to older women with early-stage EC in real-world oncology practice. Advancing our understanding of factors associated with adjuvant RT administration may help expand equitable access to RT.

Current and Emerging Prognostic Biomarkers in Endometrial Cancer

Endometrial cancer is the most common gynaecological malignancy in high income countries and its incidence is rising. Whilst most women with endometrial cancer are diagnosed with highly curable disease and have good outcomes, a significant minority present with adverse clinico-pathological characteristics that herald a poor prognosis. Prognostic biomarkers that reliably select those at greatest risk of disease recurrence and death can guide management strategies to ensure that patients receive appropriate evidence-based and personalised care. The Cancer Genome Atlas substantially advanced our understanding of the molecular diversity of endometrial cancer and informed the development of simplified, pragmatic and cost-effective classifiers with prognostic implications and potential for clinical translation. Several blood-based biomarkers including proteins, metabolites, circulating tumour cells, circulating tumour DNA and inflammatory parameters have also shown promise for endometrial cancer risk assessment. This review provides an update on the established and emerging prognostic biomarkers in endometrial cancer.

Disparities in Cancer-Specific and Overall Survival in Black Women with Endometrial Cancer: A Medicare-SEER Study

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This study uses a dataset made up of women with Medicare who underwent primary surgical staging for endometrial cancer.

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Data analysis evaluated overall survival and cancer specific survival based upon race, stratified by stage and histology.

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Black women diagnosed with stage I endometrial cancer have worse 5-year cancer specific survival than white women.

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Disparities in cancer specific survival persists even when controlling for histology, demographics, and adjuvant therapy.

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Future research and interventions should target surveillance, recurrence, and differences in tumor cell characteristics.

Objectives

To examine overall survival (OS) and cancer-specific survival (CSS) for different racial groups of women with surgically staged endometrial cancer by histologic subtype.

Methods

This is a retrospective cohort study of women with stage I-III endometrioid, serous, clear cell, and carcinosarcoma who underwent hysterectomy as primary surgical staging in the 2000–2016 SEER-Medicare database. OS and CSS outcomes were stratified by race (defined as White, Black, Other), stage, and histology. Survival was assessed with descriptive analyses, log-rank tests and unadjusted and adjusted multivariable cox regression models.

Results

Of the 24,142 women identified, 85.5% were White, 8.5% Black, and 6% other races. Receipt of adjuvant therapy differed only for stage III endometrioid: Black women were less likely to receive adjuvant treatment after hysterectomy (61.2% vs. 70.1% White, p = 0.03). For stage I, Black women had worse CSS for all histologies other than clear cell in unadjusted and adjusted analyses. For stage II, Black women had worse CSS for endometrioid histology in unadjusted analyses and similar OS. For stage III, Black women with endometrioid carcinoma had worse CSS and OS in unadjusted analyses, but no significant difference in CSS in adjusted analyses. “Other” race showed improved OS for Stage I endometrioid adenocarcinoma without significant differences in outcomes when compared to White women.

Conclusion

Across histologies other than clear cell, Black women diagnosed with stage I endometrial cancer had consistently worse CSS, despite similar receipt of adjuvant therapy. Differences in CSS and OS at higher stages disappeared once accounting for treatment disparities.

The emerging role of molecular pathology in directing the systemic treatment of endometrial cancer

Following the discovery of the four molecular subtypes of endometrial cancer (EC) by The Cancer Genome Atlas (TCGA) in 2013, subsequent studies used surrogate markers to develop and validate a clinically relevant EC classification tool to recapitulate TCGA subtypes. Molecular classification combines focused sequencing (POLE) and immunohistochemistry (mismatch repair and p53 proteins) to assign patients with EC to one of four molecular subtypes: POLEmut, MMRd, p53abn and NSMP (no specific molecular profile). Unlike histopathological evaluation, the molecular subtyping of EC offers an objective and reproducible classification system that has been shown to have prognostic value and therapeutic implications. It is an exciting time in EC care where we have moved beyond treatment based on histomorphology alone, and molecular classification will now finally allow assessment of treatment efficacy within biologically similar tumours. It is now recommended that molecular classification should be considered for all ECs, and should be performed routinely in all high grade tumours. It is also recommended to incorporate molecular classification into standard pathology reporting and treatment decision-making algorithms. In this review, we will discuss how the molecular classification of EC can be used to guide both conventional and targeted therapy in this new molecular era.