Ruddy, Kathryn J.

64 Background: The incidence of eoCRC (diagnosed at age <50) is increasing. We have previously shown higher rates of severe anxiety and depression in this group compared to adults diagnosed at age ≥50 (average-onset CRC, aoCRC). We assessed the impact of ePROM collection coupled with a CC-based supportive care intervention on symptom burden in patients with eoCRC. Methods: The Enhanced, EHR-facilitated Cancer Symptom Control (E2C2) trial was a cluster-randomized, pragmatic trial conducted at Mayo Clinic Rochester and within the Mayo Clinic Health System (in Minnesota and Wisconsin) between 2019 and 2023. Enrolled patients serially reported the severity of six SPPADE symptoms (Sleep deficit, Pain, Physical function impairment, Anxiety, Depression, and Energy deficit/fatigue) on 11-point numerical rating scales. Symptom scores were interpreted as none to mild (0-3), moderate (4-6), or severe (7-10). Those with moderate symptoms were offered symptom management education and self-management materials, while those with severe symptoms were offered the option to work with a symptom care manager. In this post hoc analysis we examined the effects of the intervention on change in symptom scores among those with eoCRC, and using the Kaplan-Meier method, the median time to improvement to a mild/moderate level in those with a severe symptom, comparing eoCRC with aoCRC. Results: Among 4,422 patients with CRC, 887 had eoCRC. Forty-six percent of patients were female ( p =0.61), and a greater proportion of eoCRC patients were of a non-white race (11.6% vs 4.7%), lived in an urban setting (65.6% vs 50.5%), had a Bachelor’s degree or higher (36.8% vs 24.4%), were employed (78.5% vs 36.7%), on a non-government insurance plan (83.4% vs 35.3%), single (19.7% vs 11.2%) or married (74.2% vs 67.9%), and had metastatic disease (54.8% vs 46.1%, p <0.0001 for all). Compared to a pre-intervention baseline, the mean change in symptom scores for eoCRC patients following the intervention demonstrated improvements in anxiety (-0.238), depression (-0.134), and fatigue (-0.146, p <0.05 for all). Time to symptom improvement from severe to mild/moderate was longer for anxiety and depression in eoCRC patients compared to aoCRC patients (Table 1). Conclusions: Collection of ePROMs coupled with a CC-based intervention led to improvements in anxiety, depression, and fatigue among eoCRC patients, although time to symptom improvement was longer among eoCRC patients compared to aoCRC patients. Time to improvement of severe symptom (months), median (95% CI). eoCRC aoCRC p -value Sleep 4.2 (3.1-5.8) 3.8 (2.7-5.4) 0.4 Pain 4.1 (3.0-7.5) 3.2 (2.3-5.0) 0.5 Physical function impairment 3.1 (1.9-6.3) 2.8 (2.2-4.2) 0.5 Anxiety 4.3 (3.4-9.1) 2.6 (2.0-3.5) 0.009 Depression 4.3 (2.6-7.5) 2.6 (2.1-3.5) 0.04 Fatigue 4.3 (3.7-9.5) 3.4 (2.7-4.2) 0.06

Abstract Background The incidence of early onset breast cancers (BCs) has increased, paralleling rising trends in delayed childbearing. We hypothesize that a distinct postpartum BC (PPBC) subtype, identifiable by time since last birth (TSLB) and biomarker expression, contributes to this trend. Methods We applied GeoMx Digital Spatial Profiling (DSP) to measure associations between TSLB and 71 proteins in 640 BCs from women aged ≤40 years included in the Young Women’s Breast Cancer Study. We analyzed data using univariable linear regression and multivariable sliced inverse regression to account for higher order interactions among biomarkers. Results In keratin-rich segments, progesterone receptor (PR) (P = 1.00 × 10−4) and PTEN (P = 1.00 × 10−3) were associated with longer TSLB; multivariable analyses revealed positive associations for GZMB (P = 4.00 × 10−4), SMA (P = 1.00 × 10−4), and NF-1 (P = 1.00 × 10−3). In keratin-poor segments, univariable significant positive associations were found for PR (P = 2.00 × 10−4) and PTEN (P = 1.00 × 10−3), whereas CD20 (P = 3.00 × 10−4) and CTLA4 (P = 4.00 × 10−5) were negatively associated; multivariable significant associations were found for fibronectin (P = 3.00 × 10−5) and pan-Akt (P = 1.00 × 10−3). Associations persisted after adjustment for multiple comparisons and BC molecular subtypes. Associations including for PR, PTEN, and CD20 were strongest among women with the shortest TSLB. OPAL multiplex immunofluorescence assays for PR, PTEN, CD20, SMA, and CTLA4 replicated several DSP findings, particularly when stratified by subtype and with compartment matching. In TCGA, RNA species linked to proteins associated with TSLB correlated strongly with a T-cell exhaustion signature previously linked to poor prognosis among premenopausal women. Conclusion These data support PPBC as a biologically coherent phenotype defined by TSLB and biomarker profile, with potential implications for prevention and therapy.

Physician burnout is prevalent and contributes to the high number of physicians choosing to leave clinical practice. The field of hematology-oncology (HO) poses unique challenges for trainees and staff physicians who have to deliver bad news, manage complicated psychosocial situations, deal with the limited ability to prolong life, and juggle multiple time-sensitive demands from coworkers, patients, and families. Furthermore, they often face the death of their patients, along with its emotional toll on patients’ families and the physicians themselves. Burnout in HO is prevalent and increasing, with many physicians reporting in several studies that they plan to reduce working hours and/or retire early. The demand for hematologists and oncologists is rapidly rising, but in the setting of a worsening HO workforce shortage and an increasing number of patients with cancer. Therefore, it is imperative to develop strategies to mitigate or address burnout in HO physicians to improve well-being and prevent attrition. Herein, we describe risk factors and causes of physician burnout in HO trainees and practicing physicians in the United States, with a focus on institutional and individual strategies to address this issue. We also provide recommendations to address the burnout epidemic from the HO standpoint.

Importance Despite treatment advances, metastatic recurrence continues to be a leading cause of morbidity and mortality. Empirical data on the incidence and survival after metastatic recurrence remain limited, as cancer registries historically do not collect data on recurrence. Objective To estimate the cumulative incidence (CMI) of metastatic recurrence among adolescents and young adults diagnosed with earlier-stage disease and compare survival to those with metastatic disease at diagnosis. Design, Setting, Participants This was a retrospective cohort study of adolescents and young adults aged 15 to 39 years who were diagnosed with nonmetastatic cancers from 2006 to 2018. Adolescents and young adults were identified from the California Cancer Registry linked with statewide hospitalization, emergency department, and ambulatory surgery encounters from the California Department of Health Care Access and Information. Data were analyzed from December 2023 to June 2025. Exposures Cancer types, including melanoma, sarcoma, and breast, cervical, colorectal, testicular, and thyroid cancers. Main Outcomes and Measures Metastatic recurrence was identified using International Classification of Diseases, Ninth Revision, Clinical Modification, and Tenth Revision, Clinical Modification, metastatic disease codes at least 6 months after cancer diagnosis or from an underlying cancer cause of death. Follow-up was through December 31, 2020. Results Of a total of 48 406 adolescents and young adults (median [IQR] age at diagnosis, 33.0 [28.0-37.0] years; 67.4% female), 9.2% had metastatic disease at diagnosis, and 9.5% had metastatic recurrence. Among 43 935 adolescents and young adults who presented with nonmetastatic disease, the 5-year CMI of metastatic recurrences was highest among patients with sarcoma (24.5%; 95% CI, 22.6%-26.6%) and colorectal cancer (21.8%; 95% CI, 20.3%-23.4%) and intermediate for cervical (16.3%; 95% CI, 15.0%-17.6%) and breast (14.7%; 95% CI, 14.0%-15.4%) cancers. The CMI for metastatic recurrence increased with increasing stage at diagnosis, with 5-year CMIs higher than 30% for all stage III cancers (except thyroid). The 5-year CMI of metastatic recurrence also increased over time for cervical cancer (2006-2009: 12.7% [95% CI, 10.8%-14.8%]; 2015-2018: 20.4% [95% CI, 17.5%-23.6%]) and decreased for colorectal cancer (2006-2009: 24.4% [95% CI, 21.3%-27.6%]; 2015-2018: 19.2% [95% CI, 16.4%-22.2%]). Survival after metastatic recurrence was worse than metastatic disease at diagnosis for all cancer types, except for testicular and thyroid cancers. Conclusions and Relevance The findings from this cohort study highlight the overall burden of metastatic disease in adolescents and young adults, expanding the knowledge of metastatic recurrences that help improve care for adolescent and young adult survivors throughout the cancer survivorship spectrum.

Abstract BACKGROUND Understanding long-term sequelae of cancer care is critical. Cognitive impairment is a common and disabling survivorship issue. Because sex influences tumor biology, therapy exposure, and dementia risk, we examined whether cancer care for a prior malignancy alters late-life cognitive outcomes differently in males and females. METHODS We assessed adults ≥50 years, cognitively normal at study entry, from a longitudinal, population-based cohort (Mayo Clinic Study of Aging). Participants were linked to our institutional cancer registry (excluding non-melanoma skin cancers). Mild cognitive impairment (MCI) and dementia were adjudicated by consensus. We fitted multivariable Cox proportional-hazards models to estimate how prevalent cancer diagnosis influenced the risk of developing MCI/dementia. Sex-specific effects were determined by incorporating a cancer×sex interaction term and by generating separate hazard ratios. Analyses were controlled for age, APOE4 status, education, and presence of vascular/metabolic conditions. RESULTS 5793 MCSA participants (female: 49.4%, APOE4 positive: 27.5%) were included in the study, with a mean age of 73 years at study entry. Incident MCI was recorded in 866 participants, and 737 were diagnosed with incident dementia. About 20% (n=1176) of the cohort had a cancer diagnosis, most commonly prostate (n=423) and breast (n=277). There was no independent relationship between history of cancer and risk for MCI or dementia. We found that males with cancer had an increased risk for MCI (HR 1.28, 95% CI 1.04-1.57, p=0.003) and dementia (HR 1.29, 95% CI 1.04-1.6, p=0.053). Conversely, females with cancer had a lower risk for MCI (HR 0.79, 95% CI 0.61-1.01, p=0.063), although this was not statistically significant. CONCLUSIONS Our data suggests male cancer survivors may be more susceptible to cognitive impairment, independent of age, APOE4 status, education, and vascular/metabolic burden. Elucidating the hormonal, treatment-related, and systemic pathways driving this should be a priority for future mechanistic studies.

Treatment-induced ovarian function loss is a significant concern for many young patients with breast cancer. Accurately predicting this risk is crucial for counselling young patients and informing their fertility-related decision-making. However, current risk prediction models for treatment-related ovarian function loss have limitations. To provide a broader representation of patient cohorts and improve feature selection, we combined retrospective data from six datasets within the FoRECAsT (Infertility after Cancer Predictor) databank, including 2679 pre-menopausal women diagnosed with breast cancer. This combined dataset presented notable missingness, prompting us to employ cross imputation using the k-nearest neighbours (KNN) machine learning (ML) algorithm. Employing Lasso regression, we developed an ML model to forecast the risk of treatment-related amenorrhea as a surrogate marker of ovarian function loss at 12 months after starting chemotherapy. Our model identified 20 variables significantly associated with risk of developing amenorrhea. Internal validation resulted in an area under the receiver operating characteristic curve (AUC) of 0.820 (95% CI: 0.817–0.823), while external validation with another dataset demonstrated an AUC of 0.743 (95% CI: 0.666–0.818). A cutoff of 0.20 was chosen to achieve higher sensitivity in validation, as false negatives—patients incorrectly classified as likely to regain menses—could miss timely opportunities for fertility preservation if desired. At this threshold, internal validation yielded sensitivity and precision rates of 91.3% and 61.7%, respectively, while external validation showed 92.9% and 60.0%. Leveraging ML methodologies, we not only devised a model for personalised risk prediction of amenorrhea, demonstrating substantial enhancements over existing models but also showcased a robust framework for maximally harnessing available data sources.

ImportanceReceipt of anthracycline-based chemotherapy and statin therapy have been found to be associated with deterioration of cognitive function in patients with cancer.ObjectiveTo assess the association of statins with attention, verbal fluency, and executive function in patients receiving doxorubicin treatment for cancer.Design, Setting, and ParticipantsThis secondary analysis of the Preventing Anthracycline Cardiovascular Toxicity With Statins randomized clinical trial, conducted across 31 US community and academic sites from February 5, 2014, through September 24, 2020, involved participants with stage I to IV lymphoma or stage I to III breast cancer undergoing doxorubicin treatment. The data analysis was conducted between August 1, 2024, and April 4, 2025.InterventionsParticipants were randomized (1:1) to receive a daily 40-mg dose of atorvastatin or placebo before initiating doxorubicin treatment and then continued for 24 months.Main Outcomes and MeasuresAttention, executive function, and verbal fluency were assessed using the Trail Making Test part A (TMT-A) and part B (TMT-B) and the Controlled Oral Word Association test, respectively. Time to complete the assessments were modeled using a linear mixed model, while errors (counts) were modeled using a generalized linear mixed model assuming a Poisson distribution.ResultsA total of 238 participants (mean [SD] age, 49 [12] years; 217 female [91.2%]) were randomized to the statin (n = 118) or placebo (n = 120) groups. Values for TMT-A at 6 and 24 months were similar between the statin group (mean, 32.5 seconds [95% CI, 29.4-35.7 seconds] and 29.8 seconds [95% CI, 26.4-33.2 seconds], respectively) and the placebo group (mean, 28.4 seconds [95% CI, 25.2-31.5 seconds] and 27.8 seconds [95% CI, 24.5-31.0 seconds], respectively). From before treatment to 24 months after treatment, statin recipients had a significant mean improvement of 10.2 seconds for TMT-B (95% CI, 1.9-18.5 seconds), whereas placebo recipients had a nonsignificant improvement of only 0.2 seconds for TMT-B (95% CI, −8.5 to 8.1 seconds). Analysis of the time-by-treatment interaction showed no significant difference between groups. For Controlled Oral Word Association scores in the same period, both the placebo and statin groups showed a mean improvement of 3.62 points (95% CI, 1.71-5.54 points) and 4.74 points (95% CI, 2.69-6.79 points), respectively, with no difference between groups.Conclusions and RelevanceThis secondary analysis of a randomized clinical trial suggests that the receipt of statins during doxorubicin therapy for lymphoma or breast cancer was not associated with worsening cognitive functions over 24 months. Within-group analyses suggested that statins may have contributed to better executive function on the TMT-B.Trial RegistrationClinicalTrials.gov Identifier: NCT01988571

Abstract Purpose: The role of tumor-infiltrating lymphocytes (TIL) remains unclear in hormone receptor (HR)–positive/HER2-negative breast cancer, particularly in young patients, whose immune microenvironment could be altered by age-related host and tumor differences. Experimental Design: Patients with stage I to III HR-positive/HER2-negative tumors were identified from a prospective cohort study of patients with breast cancer diagnosed at age ≤40 years. Multiplexed immunofluorescence and semiautomated quantitative software measured cytotoxic T, non–CD8 T, T regulatory, exhausted T, and PDL1+ cells in stroma and tumor. Univariate analyses assessed differences in clinicopathologic characteristics by high versus low immune infiltration, divided based on median. TIL subtypes were evaluated as a continuous variable per 10% increase in Cox regression analyses for invasive breast cancer–free survival, distant disease–free survival (DDFS), and overall survival, adjusted for clinicopathologic parameters. Results: Among 390 patients, high immune infiltration was associated with increasing age, Black race, grade 3 tumors, and metaplastic or micropapillary histologic subtypes. Over a median follow-up of 8 years, higher stromal and intratumoral non–CD8 T-cell infiltration, T regulatory–cell infiltration, and PDL1 expression were associated with improved invasive breast cancer–free survival. Higher intratumoral non–CD8 T-cell infiltration, T regulatory–cell infiltration, and PDL1 expression were associated with improved DDFS; higher stromal PDL1 expression was also associated with improved DDFS. Higher intratumoral cytotoxic T-cell infiltration and PDL1 expression were associated with improved overall survival. Conclusions: Characterization of immune subpopulations could help refine the prognostic value of TILs in young patients with HR-positive breast cancer, who may benefit from risk stratification for treatment individualization. See related commentary by Salgado and Kok, p. 2133

Abstract Background Few studies have assessed the burden of chronic medical conditions in adolescent and young adult (AYA) cancer survivors. This study estimated the risk of these conditions among AYA survivors compared to a matched cohort without cancer. Methods This retrospective cohort study included 2‐year survivors ( n = 14,917) of 11 common AYA (15–39 years) cancers diagnosed at the integrated health care organizations of Kaiser Permanente (KP) Southern and Northern California during 2006–2020. A comparison cohort ( n = 149,164) without cancer (matched 10:1 by age, sex, calendar year, and KP site) was included. Cumulative incidence (CMI) accounting for death as a competing risk was calculated. Poisson regression estimated the incidence rate ratio (IRR) of each condition in cancer survivors versus the matched cohort, adjusting for age, sex, and race/ethnicity. Results The 5‐year CMI was highest for thyroid (17.4%), respiratory (6.6%), cardiovascular (5.0%), and liver (4.8%) diseases. At 10 years, the CMI of any condition was 39% in survivors versus 26% in the matched cohort. Survivors had a 2‐fold increased risk of being diagnosed with any medical condition (IRR, 2.0; 95% confidence interval [CI], 1.9–2.0) as well as two or more conditions (IRR, 2.3; 95% CI, 2.2–2.5). Risk was highest among survivors of hematologic cancers and those diagnosed with distant stage disease. Elevated risks were observed within all sociodemographic groups of this insured population. Conclusion AYAs with cancer had a higher risk of chronic medical conditions compared to those without cancer. Long‐term surveillance, risk mitigation through lifestyle modifications and effective disease management are crucial to reduce premature mortality.

Importance Inherited pathogenic variants (PVs) in known predisposition genes can greatly increase breast cancer risk, but the combined impact of PV status, family history, and other factors on breast cancer risk in the general US population has not been well described. Objective To evaluate population-based breast cancer risk estimates for those with established PVs overall and stratified by first-degree family history of breast cancer and other factors. Design, Setting, and Participants This study used pooled data from 13 US-based breast cancer case-control studies participating in the Cancer Risk Estimates Related to Susceptibility (CARRIERS) consortium. Enrollment for individual studies occurred between 1976 and 2013, and results are based on data released March 2023, with analyses conducted from June 2022 to July 2025. Exposures PVs, breast cancer family history, self-reported race and ethnicity, and established risk factors. Main Outcomes and Measures Breast cancer rate ratios for PVs in 7 genes were estimated from the CARRIERS consortium. PV status and incidence and mortality statistics were combined using the Individualized Coherent Absolute Risk Estimation (iCARE) model to estimate conditional cumulative breast cancer risks and 95% CIs, stratified by family history and standardized to the US population. Models that incorporated population-based data and published estimates for established epidemiologic risk factors were also evaluated. Results A total of 67 692 women were studied, including 33 841 who were diagnosed with breast cancer. PVs in ATM , BRCA1 , BRCA2 , CHEK2 , and PALB2 were strongly associated with breast cancer risk, with BRCA1 and PALB2 PVs showing evidence of heterogeneity by family history. In models considering PVs, family history, and established risk factors, the estimated cumulative risks of breast cancer by age 50 years ranged from 2.4% (95% CI, 2.4-2.4) in women with no PVs and no family history to 35.5% (95% CI, 21.6-55.1) in PALB2 PV carriers with a family history. Among women who have not been diagnosed with breast cancer by age 50 years, the cumulative risk of breast cancer by age 80 years ranged from 11.1% (95% CI, 11.0-11.2) in noncarriers with no family history to 70.5% (95% CI, 52.8-83.5) for PALB2 carriers with a family history. PV-specific cumulative risk estimates varied across subgroups defined by race and ethnicity and potentially modifiable epidemiologic risk factors. Conclusions and Relevance In this study, population-based estimates of cumulative breast cancer risk for established PVs, as informed by the CARRIERS case-control sample, varied by family history and potentially modifiable risk factors. These estimates provide guidance for identifying individuals who will most benefit from enhanced screening and prevention strategies.