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Phase 3 study (APROMISS) of catequentinib hydrochloride (AL3818) monotherapy in patients with advanced alveolar soft part sarcoma (ASPS).
Trent, Jonathan C., Somaiah, Neeta , Chugh, Rashmi, Fan, Zhengfu, Jones, Robin Lewis, Tine, Brian Andrew Van, Bui, Nam, Chawla, Sant P. , Shen, Zan, Vincenzi, Bruno, Keedy, Vicki L. , Bui, Nam Q. , Bui, Nam , Stacchiotti, Silvia , Trent, Jonathan C. , Chmielowski, Bartosz , Chugh, Rashmi , Jones, Robin Lewis, Burgess, Melissa , Vincenzi, Bruno , Pollack, Seth M. , Siontis, Brittany L.

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 11502-11502

10.1200/jco.2026.44.16_suppl.11502 Get It

11502 Background: To report results from the open-label alveolar soft part sarcoma (ASPS) cohort of the phase III APROMISS trial (NCT03016819) evaluating Catequentinib hydrochloride (AL3818), an oral multitargeted receptor tyrosine kinase inhibitor, in adults with advanced or metastatic ASPS. Methods: Adult patients with pathologic and molecularly confirmed advanced ASPS, either treatment-naive or previously treated (excluding cediranib), were enrolled in the open-label, non-randomized ASPS cohort of the phase III APROMISS trial conducted across the United States, Asia, and Europe. Catequentinib hydrochloride was administered orally at 12 mg once daily in 21-day cycles (14 days on/7 days off) until disease progression, toxicity, or death. The primary endpoint was objective response rate (ORR) assessed per RECIST by Blinded Independent Central Review (BICR) (predefined threshold: 31%). Secondary endpoints included duration of response (DOR) with a predefined target of =/>6 months, progression free survival (PFS) and overall survival (OS). Results: From July 2017 to August 2022, a total of 56 patients entered the trial; 56 patients were evaluable for the primary endpoint. Median (m-) age was 29.5 years (range: 18 – 66), with 24 female and 32 male. Best overall response included 1/56 complete response (1.8%), 14/56 partial responses (25.0%), 36/56 stable disease (64.3%), and 3/56 (5.4%) progressive disease. RECIST ORR by BICR was 26.8% (95% CI, 15.8–40.3); m-DOR was 22.57 months (95%CI: 10.38-NE). The study data was collected close to 8 years for all patients. mPFS was 18.33 months (95% CI, 14.19–23.13), with 6- and 12-month progression-free rates of 88.77% (95% CI, 76.68–94.79) and 65.54% (95% CI, 50.42–77.06), respectively. mOS was 59.27 months (95% CI, 44.09–NE), with 6- and 12-month overall survival rates of 94.64% (95% CI, 84.30–98.24) and 90.81% (95% CI, 79.30–96.08), respectively. Overall, 27/56 (48.2%) patients experienced grade ≥3 treatment-related adverse events, most commonly diarrhea (50.0%), hypertension (44.6%), fatigue (37.5%), nausea (35.7%), and palmar-plantar erythrodysesthesia syndrome (30.4%); one patient (1.8%) had a grade 5 event (respiratory failure). Conclusions: Catequentinib hydrochloride demonstrated meaningful antitumor activity and durable responses in adults with advanced ASPS. Despite the ORR of 26.8% slightly below the predefined 31% threshold, disease control was prolonged, with a m-DOR exceeding 22 months. Favorable PFS and OS outcomes, together with a manageable safety profile, support its clinical benefit in this ultra-rare sarcoma. Clinical trial information: NCT03016819 .
Socioeconomic and treatment-related determinants of long-term cancer survival: A population-based SEER outcomes analysis.
Sharma, Akhilesh, Mal, Madho, TUMMALA, NAYANIKA, Nimmagadda, Rithish , Keswani, Shiwani, Jawed, Inshal, Kumar, Love, Maroules, Micheal, Nookala, Vinod, Gondhi, Venkatesh, Jawed, Inshal , Kumar, Love, Nookala, Vinod

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 11186-11186

10.1200/jco.2026.44.16_suppl.11186 Get It

11186 Background: Cancer survival is shaped by tumor biology, treatment access, and socioeconomic context, yet population-level quantification of long-term survival disparities related to chemotherapy use and income is limited. We assessed five-year cancer-specific survival across demographic, treatment, and socioeconomic strata in a national registry. Methods: We performed a retrospective, population-based survival analysis using the Surveillance, Epidemiology, and End Results (SEER) database. Cancer-specific survival was evaluated at 12, 24, 36, 48, and 60 months after diagnosis. Outcomes were stratified by sex, race, chemotherapy receipt, and area-level median household income categories. Survival estimates were summarized descriptively and visualized using time-to-event curves. Results: Overall cancer-specific survival declined progressively over five years, from ~84% at 12 months to ~58% at 60 months. Sex differences were minimal, with similar five-year survival among males and females (~57–58%). Racial disparities were substantial: Asian/Pacific Islander patients demonstrated the highest survival across follow-up, while Black and American Indian/Alaska Native patients had lower early survival and persistent gaps at five years. Patients with recorded chemotherapy use had improved survival compared with those without or with unknown chemotherapy status; 12-month survival was ~88% versus ~80%, and five-year survival was ~65% versus ~57%, respectively. A pronounced socioeconomic gradient was observed: individuals in areas with median household income ≥$120,000 had higher five-year survival (~67%), whereas those in areas with income < $40,000 had markedly lower survival (~52%). Conclusions: In this national registry analysis, both chemotherapy utilization and higher socioeconomic status were strongly associated with improved long-term cancer survival, whereas persistent racial and income-related disparities remained evident. These findings highlight ongoing inequities in access to oncologic care and support the need for targeted policy interventions and equity-focused treatment delivery models. Interpretation should account for limitations inherent to observational registry data and potential residual confounding.
Prognostic value of circulating tumor DNA (ctDNA) for recurrence detection across solid tumors: A real-world meta-analysis.
Kopetz, Scott, Laliotis, George, Abdelrahim, Maen, Malla, Midhun, Martin, Robert C. G., Basu, Arnab, Bardia, Aditya, Jacobsen, Luke D., Sharma, Shruti, Toboni, Michael, Schwartz, Gary, Eroglu, Zeynep, Klempner, Samuel J., Lipsyc-Sharf, Marla, Jurdi, Adham A., Liu, Minetta C., Aleshin, Alexey, Galsky, Matthew D., Kopetz, Scott , Laliotis, George, Malla, Midhun , Kim, Richard D. , Martin, Robert C.G. , Bardia, Aditya , Sharma, Shruti , Toboni, Michael Driscoll , Schwartz, Gary , Eroglu, Zeynep , Botta, Gregory P. , Lipsyc-Sharf, Marla , Jurdi, Adham Adel , Liu, Minetta C. , Aleshin, Alexey , Galsky, Matthew D.

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 11177-11177

10.1200/jco.2026.44.16_suppl.11177 Get It

11177 Background: Early detection of recurrence after curative-intent treatment is a critical priority, traditional imaging often detects relapse when disease burden is high, potentially limiting treatment efficacy. ctDNA has emerged as an established prognostic biomarker for molecular residual disease (MRD) detection and early relapse. We performed a real-world meta-analysis on published datasets that utilized personalized, tumor-informed ctDNA testing to assess its performance across tumor types and clinical management approaches. Methods: Real-world studies published from December 2022 to December 2025 using the personalized, tumor-informed Signatera ctDNA assay (Natera, Inc.) were included. Eligibility required ctDNA assessment in the MRD (2–16 weeks post-surgery (histology dependent)/pre adjuvant therapy (ACT)) and/or surveillance (post-ACT/end of the MRD window if no ACT was given) settings, with outcomes stratified by ctDNA status and hazard ratios (HR) reported from univariable or time-dependent Cox regression analysis. Exclusions included: clinical trials, biobanks, metastatic disease treated with palliative intent, case reports, reviews, editorials, or commentaries. Clinical outcomes were harmonized into a composite event-free survival (EFS) endpoint (time to recurrence, progression, or death). Pooled HRs and 95% CIs were estimated using random and fixed effects models and heterogeneity between studies was assessed using the I 2 and Cochran’s Q test. Median lead time from ctDNA-positivity to radiographic or clinical recurrence was summarized when available. Results: We identified 18 eligible publications comprising 3,004 unique patients across 15 solid tumor types. During the MRD window, ctDNA positivity was associated with a significantly increased risk of an EFS event compared with ctDNA negativity (pooled HR: 8.15; 95% CI: 6.12–10.85, I 2 = 0.00%, P = 0.844, n = 13). During the surveillance window, inclusive of post-definitive treatment, ctDNA positivity conferred an even greater EFS risk (pooled HR: 18.30; 95% CI: 14.17–23.65, I 2 = 0%, P = 0.911 for heterogeneity, n = 16). Across studies, ctDNA detection during surveillance preceded radiographic or clinical recurrence by a median of 3.20 months (95% CI: 2.50-4.10, P < 0.0001, n = 10), although this varied substantially by study/tumor type (I 2 = 80.9%). Conclusions: In this pan-cancer real-world meta-analysis, ctDNA positivity assessed using a tumor-informed assay was highly prognostic following curative-intent therapy at all timepoints evaluated with low heterogeneity between studies. These findings support the broad clinical utility of tumor-informed ctDNA testing for post-treatment risk stratification and longitudinal disease monitoring across solid tumors.
Safety and efficacy of immunotherapy rechallenge in solid tumors after discontinuation of immune checkpoint inhibitors for immune-related adverse events: A systematic review and meta-analysis.
Fujiwara, Yu, Sekiya, Mataichi , Tokunaga, Kota, Aijaz, Ayesha, Nishimura, Yoshito, Cortellini, Alessio, Naqash, Abdul Rafeh , Naqash, Abdul Rafeh , Fujiwara, Yu , Nishimura, Yoshito , Horita, Nobuyuki , Cortellini, Alessio

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 11127-11127

10.1200/jco.2026.44.16_suppl.11127 Get It

11127 Background: Immune-related adverse events (irAEs) often require treatment discontinuation in patients with cancer receiving immune checkpoint inhibitors (ICIs). Given limited subsequent treatment options, ICI rechallenge is frequently considered. We aimed to estimate the incidence of recurrent irAEs and objective response rates (ORR) in patients receiving ICI rechallenge following prior irAEs. Methods: PubMed, Web of Science, and Embase were searched for studies evaluating ICI rechallenge in patients with advanced solid tumors who previously suspended treatment due to irAEs. Outcomes included the incidence of grade 1-5 (Gr1-5), Gr1-2, and Gr3-5 irAEs, recurrent irAEs, new irAEs, ORR, and disease control rate (DCR). Random-effects meta-analyses and subgroup analyses by cancer type were performed. Meta-regression analysis was conducted to evaluate the impact of the grade and type of initial irAEs on response outcomes. Heterogeneity was assessed using I 2 statistics (≥50% considered high). Results: Thirty-seven studies comprising 1,126 patients with initial irAEs (Gr1-2: 62.8%, Gr3-4: 37.2%) leading to suspension of ICIs were included. The most common initial irAEs in the pooled cohort were hepatitis/liver enzyme elevations (20.5%), pneumonitis (16.1%), and nephritis/acute kidney injury (14.8%). Pooled incidences of Gr1-5, Gr1-2, and Gr3-5 irAEs after ICI rechallenge were 42.2% (95% confidence interval [CI]: 35.3-49.3), 27.1% (95% CI: 22.9-31.7), and 18.8% (95% CI: 14.7-23.8), respectively. Subgroup analysis showed overall higher incidences of irAEs in melanoma (Gr1-5: 54.6%, Gr1-2: 23.2%, Gr3-5: 26.4%) than those in lung cancer (Gr1-5: 39.7%, Gr1-2: 27.4%, Gr3-5: 14.0%) and solid tumors (Gr1-5: 36.7%, Gr1-2: 22.8%, Gr3-5: 20.1%). The same type of irAEs recurred in 23.8% (95% CI: 20.1-28.0) of patients, while new types of irAEs developed in 29.3% (95% CI: 25.2-33.7) of patients undergoing ICI rechallenge. The overall ORR was 45.2% (95% CI: 34.5-56.4), with cancer type-specific ORRs of 60.5% (95% CI: 47.9-71.9) in melanoma, 39.1% (95% CI: 17.4-66.2) in lung cancer, and 39.5% (95% CI: 27.7-52.6) from studies investigating solid tumors. DCR was high across cancer types: 77.3% (95% CI: 67.7-84.7) overall, 68.2% (95% CI: 41.3-86.8) in melanoma, 91.2% (95% CI: 67.7-98.1) in lung cancer, and 72.5% (95% CI: 63.3-80.1) in solid tumors. Meta-regression analysis showed that commonly observed initial irAE types or grades of initial irAEs (Gr1-2 vs. Gr3-4) did not significantly impact ORR or DCR. Conclusions: ICI rechallenge after discontinuation due to irAEs demonstrates clinical activity but carries a substantial risk of both recurrent and new irAEs. These findings highlight the need for predictive biomarkers to optimize patient selection and maximize survival without compromising safety.
Association of drug industry payments to oncologists and use of guideline-preferred cancer treatments.
Augello, Patrick, Abdelaziz, Abdullah, Guzman, Gabrielle , Galanter, Nina, Chakraborty, Nirjhar , Klimchuk, Maria , Alsamarai, Susan, Rajkumar, S. Vincent, Bach, Peter B. , Gönen, Mithat , Mitchell, Aaron Philip , Winn, Aaron N. , Augello, Patrick , Meza, Akriti Mishra , Abdelaziz, Abdullah , Galanter, Nina , Dusetzina, Stacie B.

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 11059-11059

10.1200/jco.2026.44.16_suppl.11059 Get It

11059 Background: Payments from the drug industry to oncologists are common and influence physicians’ prescribing decisions. However, whether payments affect the likelihood that patients receive optimal cancer treatment has not been assessed. Methods: This was a population-based cohort study. We used fee-for-service Medicare claims to identify patients with incident cancer diagnosis (new cancer diagnosis code after >= 1 year with no cancer diagnosis codes) from 2014-2020. We used National Comprehensive Cancer Network (NCCN) Guidelines to identify treatment scenarios (e.g., metastatic melanoma, stage III colon adjuvant therapy) with variation in the clinical benefit among recommended treatment options. The patient cohort corresponding to each scenario was identified using claims. We used NCCN Guidelines to identify the “optimal” treatment for each scenario (defined as the designated “preferred” treatment, with NCCN Evidence Blocks scores used for tiebreaks) at each time point across the study period. The primary outcome was whether a patient received the treatment that was, as of their diagnosis date, the optimal treatment for their cancer (vs. any non-optimal treatment). The primary exposure[s] were whether a patient’s medical oncologist received personal (“general”) payments (source: linked Open Payments data) related to 1) optimal treatment or 2) any non-optimal treatment, during the year prior to the patient’s cancer diagnosis. We fit Poisson-family generalized estimating equations, with physician-level clustering and adjustment for scenario, year, and patient characteristics, to estimate the relative risk (RR) of optimal treatment. Results: There were 14 clinical scenarios comprising 15,835 patients. There were 3,429 (21.7%) patients whose oncologist received payment for the optimal treatment, 4,891 (30.9%) for non-optimal payments, and 1,993 (12.6%) to both payment types. Oncologist receipt of payment for optimal treatment was associated with a greater likelihood (RR=1.07, 95%CI:1.01-1.13), and payment for non-optimal treatment was associated with lower likelihood (RR= 0.94, 95%CI:0.89-0.98) of patients receiving optimal treatment. Associations became stronger as payment dollar value increased; for optimal payments ≥$10,000, RR=1.26 (95%CI:1.02-1.57), and for non-optimal payments ≥$10,000, RR=0.70 (95%CI: 0.49-1.00). An estimated 41.6% of unexposed patients received optimal treatment; versus 52.6%, 29.3%, and 33.8% among patients exposed to ≥$10,000 of payments for optimal treatment only, ≥$10,000 non-optimal payments only, and ≥$10,000 of both payment types, respectively. Conclusions: Industry payments related to the optimal cancer treatment were associated with increased use of the optimal treatment. However, payments related to non-optimal treatments were more common and were associated with decreased use of optimal treatment.
Quality of life and treatment tolerability of Bria-IMT + CPI in metastatic breast cancer.
Chumsri, Saranya, McCann, Kelly , Kahn, Adriana Matutino, Negret, L., Vaughn, Christopher, Bayer, Blaise, Aghajanian, Tamar, Priore, Giuseppe Del, Nangia, Chaitali, Chumsri, Saranya , Kahn, Adriana , Aghajanian, Tamar, Priore, Giuseppe Del, Nangia, Chaitali

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 1107-1107

10.1200/jco.2026.44.16_suppl.1107 Get It

1107 Background: Bria-IMT is an allogeneic whole cell immunotherapy expressing tumor associated antigens and GM-CSF to stimulate adaptive and innate immunity. The phase 3 Bria-ABC trial (NCT06072612) evaluates Bria-IMT + retifanlimab vs physician’s choice in MBC w/ no meaningful therapeutic options. Characterization of on-trial pt experience, including quality of life (QOL) and tolerability, remains clinically relevant yet underreported. We evaluated QoL and toxicity to assess feasibility of home self administration. Methods: EORTC QLQ-C30 at baseline (BL) and subsequent visits. Raw item responses were aggregated into domain scores. Changes quantified as absolute point differences; domain scores defined as medians of constituent items. Lower functional/symptom and higher global scores indicate better outcomes. Wilcoxon matched pairs test assessed change from BL. Missing QoL data handled by observed cases approach. QoL evaluated at BL, V3, V6, and V9. TWiST and TOX summarized descriptively. TOX defined as cumulative time w/ grade ≥3 TEAEs w/o progression; TWiST as time w/o grade ≥3 toxicity or progression. TOX and TWiST constitute component health states for planned QTWiST analysis pending mature OS. Results: At submission, 251 pts screened, 173 randomized, 147 treated. 75% Caucasian, 20% other, 5% not reported; median 6 prior lines (2-15); ECOG 2 -6%; intracranial mets 9%; 42% HR+, 37% TNBC, 12% HER2+. Median 5 QoL assessments/pt completed. 127 pts completed ≥2 assessments. Paired data available at V3 52%, V6 17%, V9 6%. Global health medians BL 5.0, V3 5.0, V6 5.0, V9 4.5. Score maintenance/improvement: @V3 63% (p=0.7), V6 62%, V9 71%. Functional domains: role (BL 1.5, V3 2.0, V6 2.0, V9 2.0; maintenance 62.7% [p=0.02], 52.4%, 71.4%). Physical (BL 1.0, V3 2.0, V6 2.0, V9 2.0; maintenance 68.7% (p=0.002), 47.6% (p=0.03), 71.4%), cognitive (BL 1.5, V3 1.5, V6 1.5, V9 1.5; maintenance 63.6%, 61.9%, 85.7%). Emotional (BL 1.5, V3 1.5, V6 1.5, V9 1.5; maintenance 75.8% (p=0.9), 81.0%, 85.7%). Social (BL 1.5, V3 1.5, V6 2.0, V9 2.5; maintenance 58.5%, 75.0%, 57.1%). Symptoms: nausea/vomiting (1.0 throughout; maintenance V3 73%, V6 86%, V9 86%), fatigue median 2.0 all timepoints; maintenance 61%, 67%, 71%), pain (BL/V3 1.5, V6/V9 2.0; maintenance V3 57% [p=0.03], V6 62% [p=0.9], V9 86%). TWiST and TOX restricted mean 3.12 mo and 0.63 mo, respectively; 83.2% and 16.8% of observed follow-up. Pts w global health maintenance demonstrated longer median TWiST v deterioration (4.3 v 2.7 mo). ECOG stable in 78% (n=99). Conclusions: Heavily pretreated MBC pts in Bria-ABC demonstrated stable global health and key functional domains. Findings support sustained QoL in advanced disease. TWiST demonstrates meaningful benefit w/o significant toxicity. Ongoing follow up will further characterize durability of pt-reported outcomes and clinical correlation. Results support decentralized care and potential home self administration. Clinical trial information: NCT06072612 .
Local and state paid sick leave policies and timeliness of treatment initiation among working-age patients with early-stage breast cancer.
Shi, Kewei Sylvia , Fan, Qinjin , Bradley, Cathy J., Hu, Xin, Zhao, Jingxuan, Zheng, Zhiyuan, Han, Xuesong, Barnes, Justin M. , Chino, Fumiko , Bradley, Cathy J. , Shih, Ya‐Chen Tina , Zhao, Jingxuan , Zheng, Zhiyuan , Han, Xuesong , Yabroff, K. Robin

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 11064-11064

10.1200/jco.2026.44.16_suppl.11064 Get It

11064 Background: Local and state paid sick leave (PSL) mandates have been associated with increased use of preventive services, including cancer screening, and reduced emergency care utilization. Little research has examined PSL policies and cancer after diagnosis. This study evaluates associations of PSL policies and timely treatment initiation among women with early-stage breast cancer. Methods: We identified patients aged 18-64 years newly diagnosed with stages 0-II breast cancer from the National Cancer Database in 2004-2023 and linked then to area-level policy implementation, measured as the month and year the state, county, or city required PSL. Primary outcomes were receipt of definitive surgery or neoadjuvant therapy within 30, 60, and 90 days of diagnosis. We compared changes in treatment initiation between patients residing in areas with and without PSL policies during and after the month and year of diagnosis. We used a staggered difference-in-differences design to account for differential timing of implementation, adjusting for patient demographics, clinical, and area-level characteristics. Random errors were clustered at the state level. Supplemental analyses stratified by county-level unemployment rates and individual insurance coverage. Results: The study included 1,891,411 patients, of whom 249,313 (13.2%) resided in an area with PSL policies at diagnosis. Patients in areas with PSL policies were more likely to have Medicaid, reside in higher-income and metropolitan areas. PSL policy implementation was significantly associated with a 3.4 percentage point (PPT) increase in the probability of treatment ≤30 days (95% CI: 1.1-5.7), 3.0 PPT increase ≤60 days (95% CI: 1.6-4.3), 1.3 PPT increase ≤90 days (95% CI: 0.5-2.1) (Table). Improvements in timely treatment were concentrated in low-unemployment areas; no significant improvements were observed in high-unemployment areas. The magnitude of associations between PSL policies and treatment initiation was stronger among patients without private insurance than with private insurance. Conclusions: Local and state PSL mandates were associated with earlier treatment initiation among working-age patients with early-stage breast cancer, especially in areas with low female unemployment rate. Findings suggest that PSL policies play an important role in timely cancer treatment for employed women who may not have PSL through their jobs. Association of paid sick leave policies and breast cancer treatment initiation. Time from diagnosis to surgery/neoadjuvant therapy (days) DID PPT Lower 95% CI Upper 95% CI P-value Overall ≤30 3.4 1.1 5.7 0.004 ≤60 3.0 1.6 4.3 0.000 ≤90 1.3 0.5 2.1 0.001 Low female unemployment ≤30 2.2 -0.7 5.0 0.136 ≤60 3.8 1.8 5.8 0.000 ≤90 1.2 0.3 2.2 0.012 High female unemployment ≤30 1.8 -0.6 4.2 0.145 ≤60 -1.2 -4.5 2.0 0.459 ≤90 -1.4 -3.7 0.9 0.232
Potential BMI-dependent overall survival differences in postmenopausal breast cancer patients treated with CDK4/6 inhibitors: A Mayo Clinic platform study.
Sun, Chenyu, Billstein, Laura , Zhang, Julie Ying, Fickel, Abigail, Liu, Li , Du, Kaili , Lees, Elizabeth , Sun, Chenyu, Han, Yiqun , Zhang, Julie Ying

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 1110-1110

10.1200/jco.2026.44.16_suppl.1110 Get It

1110 Background: CDK4/6 inhibitors with endocrine therapy are widely used for HR+/HER2– metastatic breast cancer (BC). While studies have shown similar progression-free outcomes across agents, overall survival (OS) data are limited. Since OS is a definitive endpoint and BMI may influence outcomes, this study examines BMI-dependent OS differences among CDK4/6 inhibitors. Methods: A retrospective cohort study was conducted using the Mayo Clinic Platform full AMC1 dataset. Postmenopausal women with BC receiving palbociclib/ribociclib/abemaciclib plus aromatase inhibitor (AI) were included. Patients with prior use of fulvestrant, anthracyclines, radiation therapy, GnRH agonists, or history of MACE, heart failure, myocardial infarction, or stroke before BC diagnosis were excluded. Patients were stratified by BMI and CDK4/6 inhibitor. The primary outcome was 5-year OS. Results: Among 1,989 patients (palbociclib: 868; ribociclib: 465; abemaciclib: 656), palbociclib was associated with significantly worse OS compared to ribociclib in BMI <25 (HR 2.91; 95% CI: 1.76–4.79; P < 0.01) and BMI ≥30 (HR 1.91; 95% CI: 1.21–3.01; P < 0.01). Compared to abemaciclib, palbociclib showed worse OS: BMI <25 (HR 1.73; P < 0.01), BMI 25–30 (HR 1.56; P < 0.01), and BMI ≥30 (HR 1.82; P < 0.01). No significant OS differences were observed between ribociclib and abemaciclib. Palbociclib patients were older, particularly in BMI <25 (Cohen's D = 0.39 vs. ribociclib; 0.27 vs. abemaciclib) and BMI ≥30 (0.28 vs. ribociclib; 0.23 vs. abemaciclib). In the BMI 25–30 group, palbociclib group was also older than ribociclib group (Cohen's D = 0.26). Conclusions: In postmenopausal BC patients on AIs and CDK4/6 inhibitors, palbociclib was associated with worse OS in BMI < 25 and BMI ≥ 30 groups, while ribociclib and abemaciclib showed similar outcomes across BMI groups. Palbociclib patients were older than those on other drugs, which may partially confound results; however, in the BMI 25–30 group, despite similar age differences, no survival difference was observed between palbociclib and ribociclib, suggesting age alone may have limited impact. These findings indicate a potential interaction between BMI and drug choice, and highlight the need for prospective studies to confirm and adjust for these variables. Limitations include the observational design and inability to perform multivariable regression analyses to adjust for confounders. Overall survival comparisons by CDK4/6 inhibitor and BMI subgroup. Comparison BMI Group Hazard Ratio (95% CI) P-value Palbociclib vs Ribociclib <25 2.91 (1.76 – 4.79) < 0.01 25 – 30 1.34 (0.87 – 2.071) 0.17 ≥30 1.91 (1.21 – 3.01) < 0.01 Palbociclib vs Abemaciclib <25 1.73 (1.29 – 2.32) < 0.01 25 – 30 1.56 (1.09 – 2.23) < 0.01 ≥30 1.82 (1.15 – 2.88) < 0.01 Ribociclib vs Abemaciclib <25 1.27 (0.81 – 1.99) 0.29 25 – 30 0.87 (0.54 – 1.43) 0.59 ≥30 1.05 (0.63 – 1.75) 0.85
Survival with Bria-IMT + CPI in advanced metastatic breast cancer at 12 and 24 months.
Nangia, Chaitali, Chumsri, Saranya, Rowland, Kendrith M., Negret, L., Bayer, Blaise, Aghajanian, Tamar, Williams, William, Priore, Giuseppe Del, Calfa, Carmen, Nangia, Chaitali, Chumsri, Saranya , Aghajanian, Tamar, Williams, William V. , Priore, Giuseppe Del, Calfa, Carmen

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 1108-1108

10.1200/jco.2026.44.16_suppl.1108 Get It

1108 Background: Metastatic breast cancer (MBC) remains limited by resistance and cumulative toxicity in heavily pretreated patients. Bria-IMT combines a whole-cell vaccine (SV-BR-1-GM) with anti-PD-1 (CPI) to enhance tumor antigen presentation and overcome immune exhaustion. SV-BR-1-GM is an irradiated breast cancer cell line engineered to secrete GM-CSF, promoting HLA class I and II antigen presentation and T-cell activation. We identified a subset with durable clinical benefit and biologic correlates. Methods: Phase I/II evaluating the Bria-IMT regimen (SV-BR-1-GM with CPI (pembrolizumab or retifanlimab). In the phase II portion, pts were randomized 1:1 to CPI initiation at cycle 1 (C1) or delayed start at cycle 2 (C2). Two SV-BR-1-GM formulations were administered: IFNγ-stimulated (IFγ) or unstimulated (≠IFγ). Baseline circulating tumor cells (CTCs) and delayed-type hypersensitivity (DTH) responses to SV-BR-1-GM were assessed as biomarkers. Progression free survival (PFS) and overall survival (OS) were analyzed using Kaplan Meier (KM). Subgroup comparisons (CPI sequencing, IP formulation, DTH status, and baseline CTC status) are exploratory. Results: 32 phase 2 pts were randomized: median age 61 (range 41-80); median prior lines 6 (range 2-13); PFS 3.5 mo (95% CI 3.0 - 4.2); OS 9.5 mo (95% CI 7.0 - 17.4). Among CPI C1 vs C2 starts: median OS 13.3 v 7.4mo (HR 0.8; 95% CI 0.4-1.9, p = 0.6); OS KM probability at 12 mo 47% v 58%. Median OS w ≠IFγ v IFNγ IP =16.6 v 9.1 mo (HR 0.58; 95% CI 0.2-1.4, p = 0.23); OS KM at 12 mo 52.4% v 27.3%. DTH+ v DTH- median OS 11.9 v 4.7 mo (HR 0.0009; p = <0.001), OS KM @12 mo 48% v 0%. CTCs <5 v > 5 at baseline had median OS 16.6 v 5.5 mo (HR 0.005; 95% CI 0.0003-0.09, p < 0.001), OS at 12 mo 49% vs 33%. Among long term survivors @12mo, OS probability 44.0% (95% CI 26.2-59.7%) and @24 mo 26% (95% CI 12.1-42.4%). Median follow up 25.8 with PFS 5.4 mo. 5 received ≠IFγ formulation v 1 w IFNγ. All 6 (3 with CPI @C1, 3@C2) experienced delayed type hypersensitivity reaction to inoculation. 67% of long responders matched HLA at >1 allele, 33% no match. Grade ≥3 AEs in 47% of pts, most common injection site rxn, nausea, fatigue; no tx related D/C; no unexpected safety signals. Conclusions: In heavily pretreated MBC, Bria-IMT demonstrated a tolerable safety profile and the emergence of a long-term survivor cohort. Durable survival was observed beyond 12 and 24 months. Differential survival favoring Ph3 formulation, DTH positivity, lower baseline CTC burden, and early CPI sequencing was observed. These findings support prospective validation of DTH and CTC as predictive biomarkers and the continued use of the Ph3 IP formulation in the ongoing phase 3 study Bria-ABC (NCT06072612). Clinical trial information: NCT06072612 .
Enhanced financial assistance intervention for unmet essential needs: A prospective pilot study to improve timely cancer treatment completion.
Jiang, Shannon Jinxia, Johnson, Kimberly J., Yang, Joanna C. , Barnes, Justin M. , Johnson, Kimberly J., Chino, Fumiko

Mayo Clinic

Journal of Clinical Oncology | May 27, 2026 | Volume: 44 | Issue: 16_suppl | Pages: 11078-11078

10.1200/jco.2026.44.16_suppl.11078 Get It

11078 Background: Unmet essential needs, such as food, transportation, and housing insecurity, can create barriers to timely cancer treatment. Delayed or prolonged courses of definitive radiotherapy (RT) can compromise cancer outcomes like recurrence and survival. There are limited prospective data testing interventions to improve timely cancer treatment completion by meeting essential needs. Methods: We conducted a pragmatic single-arm pilot study testing an enhanced financial assistance intervention for unmet needs during RT. Eligibility criteria included adults with a cancer diagnosis and unmet social needs (via social risk screening and/or social worker evaluation) who were prescribed or undergoing a course of RT with > 10 fractions remaining. Participants received standard institutional assistance (e.g., limited support for travel/lodging with strict eligibility criteria) plus the enhanced assistance intervention, including needs assessments prior to and during RT and up to $2000/patient of tailored unconditional monetary transfer via gift cards for all essential needs identified. The primary outcome was delay-free completion of RT (DFC: completing all prescribed RT fractions and delaying < 5 fractions). The study was powered (power = 80%, 1-sided alpha = 0.2 for this pilot study) to detect a 10-percentage point increase in % DFC relative to a historic benchmark of 83% (based on similar patients from our institution), with required sample size of N = 33. Due to delays in gift card administration (on average ~2 weeks after consent), we also present per protocol analysis, limited to patients who had > 10 fractions remaining after first receiving financial assistance. Post-hoc analyses using generalized linear mixed models evaluated percentages of delayed fractions prior to and after an individual’s receipt of financial assistance. Results: 35 met inclusion criteria and were approached, 33/35 enrolled. Participants received median assistance of $1800 ($700-2000) and had a median of 27 RT fractions after consent (range: 12-35) and 17 (3-34) after receiving assistance. In the overall cohort, 1 patient did not complete RT and 2 patients had ≥5 delayed fractions, leading to 30/33 achieving DFC (90.9%, 80% CI = 83.9 – 100), significantly higher than the 83% benchmark. In the per protocol analysis, 27/28 achieved DFC (96.4%, 80% CI = 89.7–100, P = .037). Among the 27 patients who started RT prior to receiving assistance, mixed model analysis showed more delayed fractions prior to (7.1%) vs. after (3.0%) receiving assistance (OR 2.84, 95% CI = 1.43-5.80, P = .003). Conclusions: In this prospective pilot study, a tailored enhanced financial assistance intervention for unmet essential needs led to improved delay-free completion of RT over a historic benchmark. Further analysis on patient-reported quality of life and financial toxicity will be reported in the future. Clinical trial information: NCT06582849 .