Abstract RF1-04: Early Adverse Symptoms Predict Response to Treatment Among Patients in the I-SPY Trial

Abstract Background: Advances in oncology, particularly the adoption of immunotherapies and antibody-drug conjugates, are transforming the nature and frequency of adverse events (AEs). These AEs come with both short and long-term symptoms that significantly impact patient quality of life. Monitoring for early onset of symptoms could optimize personalized therapy, maximizing potential efficacy while mitigating toxicity. It is also possible that some toxicities are directly associated with drug sensitivity. We sought to identify symptoms associated with pathologic complete response (pCR) using patient-reported outcomes (PROs) in early-stage high-risk breast cancer patients. Methods: Our study population included 288 stage II/III high-risk breast cancer patients enrolled on the I-SPY2 trial from 2021-2024, who received IO and ADC neoadjuvant therapies ± standard paclitaxel. pCR was defined as tumor absent in breast and nodes at surgery following neoadjuvant treatment. Patients (n = 288) were sent electronic PROs. 33 patient-reported AEs were measured using NCI's Patient Reported Outcomes - Common Terminology Criteria for Adverse Events (PRO-CTCAE). Each symptom was evaluated using severity, frequency, and interference on a Likert Scale. Presence of early PRO symptoms (cycles 1-3 of treatment) were categorized (at least one of moderate or greater), and odds ratios were computed with pCR as outcome. To assess whether higher grade AEs were enriched in patients that achieved a pCR, we also performed the Wilcoxan Rank Sum test using maximum (worst) symptom severity. Breast tumor volume was measured by MRI at baseline and again at cycle 3 (∼day 21 from treatment start). Functional tumor volume (FTV) was computed from MR images by using enhancement thresholds. and percent change from baseline (ΔFTV) was calculated. Reduction in FTV was defined as a positive change. The Benjamini-Hochberg method was used to adjust for multiple hypothesis testing. Results: Of 288 patients included in our analysis (median age = 48 years, range = 20-78, pCR rate = 29%), 203 (70.5%) were White, 17 (5.9%) were Asian, 33 (11.5%) were Black or African American, and 35 (12.2%) were Hispanic and 89% were administered immunotherapy, 11% ADC. The pCR rate was 29%. PRO analysis revealed that patients that had moderate to severe muscle pain (27% vs 10% OR = 3.15, P < 0.05), joint pain (22% vs 8% OR = 3.23, P < 0.05), headache (27% vs 12.5% OR = 2.59, P < 0.05), or mouth/throat sores (16% vs 5% OR = 3.56, p < 0.05) within weeks 1-3 had higher odds of achieving a pCR. Maximum severity between weeks 1-3 was associated with pCR. Patients that achieved a PCR had higher grade muscle pain (P < 0.05), heart rates of palpitations (P < 0.05), and significantly lower grade numbness and tingling (p = 0.002). Additionally, of the symptoms assessed, frequency, interference, and severity of arm or leg swelling was significantly correlated with reduction in tumor volume (FTV) during weeks 1-3 treatment (Bonferroni corrected P<0.01). Beyond 6 weeks, associations were weak or insignificant. Conclusion: Our study utilizes a computational framework that defined sentinel symptoms such as muscle and joint pain, mouth/throat sores, headache, and swelling, as early as weeks 1-3 that were associated with a favorable tumor response. This may suggest an early immune reaction in patients that eventually respond favorably to treatment, and prioritization to continue these patients on treatment may be warranted. Our work can help provide earlier proactive monitoring to mitigate toxicities, to enhance treatment response, and a potential symptom-based early understanding to personalize treatment efficacy. Citation Format: A. Basu, S. Umashankar, C. Yau, K. J. Ruddy, A. H. Blaes, D. M. Wolf, A. DeMichele, J. Perlmutter, D. Yee, A. B. Olshen, L. J. van't Veer, R. A. Shatsky, C. Isaacs, R. Nanda, H. S. Rugo, M. E. Melisko, N. Hylton, L. J. Esserman, D. L. Hershman, I-SPY Trial Investigators and Patient Advocates.. Early Adverse Symptoms Predict Response to Treatment Among Patients in the I-SPY Trial [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr RF1-04.

Authors

Institutions

Publication Details

Journal
Clinical Cancer Research
Published
2026-02-17
DOI
https://doi.org/10.1158/1557-3265.sabcs25-rf1-04
Primary Topic
Advanced Breast Cancer Therapies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract RF1-04: Early Adverse Symptoms Predict Response to Treatment Among Patients in the I-SPY Trial

Don Yee, Jane Perlmutter, A. Basu, K. J. Ruddy et al.
Clinical Cancer Research
Advanced Breast Cancer Therapies
article

Abstract RF1-04: Early Adverse Symptoms Predict Response to Treatment Among Patients in the I-SPY Trial

Don Yee, Jane Perlmutter, A. Basu, K. J. Ruddy, S. Umashankar, C. Isaacs, A. H. Blaes, D. M. Wolf, N. M. Hylton, C. Yau, H. S. Rugo, R. A. Shatsky, D. L. Hershman, M. E. Melisko, L. J. Esserman, A. M. DeMichele, R. Nanda, A. B. Olshen, L. J. van't Veer, I-SPY Trial Investigators and Patient Advocates.
article en

Abstract

Abstract Background: Advances in oncology, particularly the adoption of immunotherapies and antibody-drug conjugates, are transforming the nature and frequency of adverse events (AEs). These AEs come with both short and long-term symptoms that significantly impact patient quality of life. Monitoring for early onset of symptoms could optimize personalized therapy, maximizing potential efficacy while mitigating toxicity. It is also possible that some toxicities are directly associated with drug sensitivity. We sought to identify symptoms associated with pathologic complete response (pCR) using patient-reported outcomes (PROs) in early-stage high-risk breast cancer patients. Methods: Our study population included 288 stage II/III high-risk breast cancer patients enrolled on the I-SPY2 trial from 2021-2024, who received IO and ADC neoadjuvant therapies ± standard paclitaxel. pCR was defined as tumor absent in breast and nodes at surgery following neoadjuvant treatment. Patients (n = 288) were sent electronic PROs. 33 patient-reported AEs were measured using NCI's Patient Reported Outcomes - Common Terminology Criteria for Adverse Events (PRO-CTCAE). Each symptom was evaluated using severity, frequency, and interference on a Likert Scale. Presence of early PRO symptoms (cycles 1-3 of treatment) were categorized (at least one of moderate or greater), and odds ratios were computed with pCR as outcome. To assess whether higher grade AEs were enriched in patients that achieved a pCR, we also performed the Wilcoxan Rank Sum test using maximum (worst) symptom severity. Breast tumor volume was measured by MRI at baseline and again at cycle 3 (∼day 21 from treatment start). Functional tumor volume (FTV) was computed from MR images by using enhancement thresholds. and percent change from baseline (ΔFTV) was calculated. Reduction in FTV was defined as a positive change. The Benjamini-Hochberg method was used to adjust for multiple hypothesis testing. Results: Of 288 patients included in our analysis (median age = 48 years, range = 20-78, pCR rate = 29%), 203 (70.5%) were White, 17 (5.9%) were Asian, 33 (11.5%) were Black or African American, and 35 (12.2%) were Hispanic and 89% were administered immunotherapy, 11% ADC. The pCR rate was 29%. PRO analysis revealed that patients that had moderate to severe muscle pain (27% vs 10% OR = 3.15, P < 0.05), joint pain (22% vs 8% OR = 3.23, P < 0.05), headache (27% vs 12.5% OR = 2.59, P < 0.05), or mouth/throat sores (16% vs 5% OR = 3.56, p < 0.05) within weeks 1-3 had higher odds of achieving a pCR. Maximum severity between weeks 1-3 was associated with pCR. Patients that achieved a PCR had higher grade muscle pain (P < 0.05), heart rates of palpitations (P < 0.05), and significantly lower grade numbness and tingling (p = 0.002). Additionally, of the symptoms assessed, frequency, interference, and severity of arm or leg swelling was significantly correlated with reduction in tumor volume (FTV) during weeks 1-3 treatment (Bonferroni corrected P<0.01). Beyond 6 weeks, associations were weak or insignificant. Conclusion: Our study utilizes a computational framework that defined sentinel symptoms such as muscle and joint pain, mouth/throat sores, headache, and swelling, as early as weeks 1-3 that were associated with a favorable tumor response. This may suggest an early immune reaction in patients that eventually respond favorably to treatment, and prioritization to continue these patients on treatment may be warranted. Our work can help provide earlier proactive monitoring to mitigate toxicities, to enhance treatment response, and a potential symptom-based early understanding to personalize treatment efficacy. Citation Format: A. Basu, S. Umashankar, C. Yau, K. J. Ruddy, A. H. Blaes, D. M. Wolf, A. DeMichele, J. Perlmutter, D. Yee, A. B. Olshen, L. J. van't Veer, R. A. Shatsky, C. Isaacs, R. Nanda, H. S. Rugo, M. E. Melisko, N. Hylton, L. J. Esserman, D. L. Hershman, I-SPY Trial Investigators and Patient Advocates.. Early Adverse Symptoms Predict Response to Treatment Among Patients in the I-SPY Trial [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr RF1-04.

Clinical Cancer ResearchVol. 32(4_Supplement)
University of Minnesota (US), Mayo Clinic (US), University of California, San Francisco (US), Georgetown University (US), University of California San Diego (US), University of Chicago (US), Mayo Clinic in Arizona (US), Mayo Clinic in Florida (US), Gemini Computers (United States) (US), University of San Francisco (US), Columbia University (US), University of Pennsylvania (US)
Good health and well-being
Openalex Percentile: Top 54%
Advanced Breast Cancer Therapies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.