Early adverse symptoms to predict response to treatment among patients in the I-SPY trial.

A Amrita Basu S Saumya Umashankar (University of California, San Francisco, San Francisco, CA) D Denise M. Wolf C Christina Yau R Ritu Roy K Kathryn Jean Ruddy (Department of Oncology, Mayo Clinic Rochester, Rochester, MN) A Anne Hudson Blaes (University of Minnesota, Minneapolis, MN) A Adam B. Olshen (UCSF, San Francisco, California, United States) A Angela DeMichele (University of Pennsylvania School of Medicine, Philadelphia) J Jane Perlmutter (Gemini Group, Ann Arbor, MI) D Douglas Yee N Nola Hylton (University of California San Francisco, San Francisco, CA) L Laura van t Veer (Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA) R Rebecca Arielle Shatsky (University of California, San Diego Medical Center, La Jolla, CA) C Claudine Isaacs H Hope S. Rugo (City of Hope Comprehensive Cancer Center, Duarte, CA) L Laura Esserman (Department of Surgery, University of California, San Francisco, San Francisco, CA) M Michelle E. Melisko (University of California, San Francisco, San Francisco, CA) D Dawn L. Hershman (Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center New York New York USA)

Abstract

610 Background: The adverse event (AE) landscape in oncology is changing due to the introduction of immunotherapy and antibody drug conjugates. 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 therapy for a particular patient, 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 novel neoadjuvant therapies ± standard paclitaxel. pCR was assigned if tumor was absent in breast and nodes at surgery following neoadjuvant treatment. Patients (n = 288, pCR rate = 29%, 89% administered immunotherapy) 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 binarized (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. Results: Of 288 patients included in our analysis (median age = 48 years, range = 20-78), 203 (70.5%) were White, 17 (5.9%) were Asian, 33 (11.5%) were Black or African American, and 35 (12.2%) were Hispanic. 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. When we looked at maximum severity between weeks 1-3, patients that achieved a PCR had higher grade muscle pain (p = 0.04), heart palpitations (p = 0.035), and significantly lower grade numbness and tingling (p = 0.002). Beyond 6 weeks, associations were weaker or insignificant. Conclusions: Our study utilizes an analysis framework that was able to determine sentinel symptoms such as muscle and joint pain, mouth/throat sores and palpitations as early as weeks 1-3 associated with increased efficacy. This may suggest an early immune reaction in patients that eventually respond favorably to treatment. Our work can help provide earlier proactive monitoring to mitigate toxicities, treatment redirection if needed, and a potential symptom-based early understanding to personalize treatment efficacy. A similar analysis is underway to predict immune related AEs. Clinical trial information: NCT01042379 .

Article Details

Volume / Issue Vol. 43, Issue 16_suppl
Published June 01, 2025
Pages 610-610
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (19)

A

Amrita Basu

S

Saumya Umashankar

University of California, San Francisco, San Francisco, CA

D

Denise M. Wolf

C

Christina Yau

R

Ritu Roy

K

Kathryn Jean Ruddy

Department of Oncology, Mayo Clinic Rochester, Rochester, MN

A

Anne Hudson Blaes

University of Minnesota, Minneapolis, MN

A

Adam B. Olshen

UCSF, San Francisco, California, United States

A

Angela DeMichele

University of Pennsylvania School of Medicine, Philadelphia

J

Jane Perlmutter

Gemini Group, Ann Arbor, MI

D

Douglas Yee

N

Nola Hylton

University of California San Francisco, San Francisco, CA

L

Laura van t Veer

Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA

R

Rebecca Arielle Shatsky

University of California, San Diego Medical Center, La Jolla, CA

C

Claudine Isaacs

H

Hope S. Rugo

City of Hope Comprehensive Cancer Center, Duarte, CA

L

Laura Esserman

Department of Surgery, University of California, San Francisco, San Francisco, CA

M

Michelle E. Melisko

University of California, San Francisco, San Francisco, CA

D

Dawn L. Hershman

Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center New York New York USA