Evidence map›Paper›PMID 40671797›Full record

ArticleResearch square2025

Peripheral blood gene expression signatures of systemic immunity predict tumor microenvironment biology and therapeutic response in breast cancer.

Justin Balko, Xiaopeng Sun, Ann Hanna, Andres Ocampo, Brandie Taylor, Jacey Marshall, Julia Steele, Margaret Axelrod, Elizabeth Wescott, Susan Opalenik and 9 more

Abstract readPreprint
In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Justin BalkoVanderbilt University Medical Center.ORCID 0000-0002-4263-5974
Xiaopeng SunVanderbilt University Medical Center.
Ann HannaVanderbilt University Medical Center.
Andres OcampoVanderbilt University Medical Center.ORCID 0009-0007-6155-4129
Brandie TaylorVanderbilt University Medical Center.
Jacey MarshallVanderbilt University Medical Center.
Julia SteeleVanderbilt University Medical Center.
Margaret AxelrodWashington University in St Louis.
Elizabeth WescottVanderbilt University Medical Center.
Susan OpalenikVanderbilt University Medical Center.
Angela DeMicheleUniversity of Pennsylvania.
Laura EssermanUniversity of California, San Francisco.ORCID 0000-0001-9202-4568
Minetta LiuNatera Inc.ORCID 0000-0002-8206-5232
Rita NandaUniversity of Chicago.
Denise WolfUniversity of California, San Francisco.
Lamorna Brown SwigartUniversity of California San Francisco.ORCID 0000-0003-2076-5177
Gillian HirstUniversity of California, San Francisco.ORCID 0000-0002-4502-0035
Laura Van 't VeerUCSF.ORCID 0000-0002-9838-8298
Yaomin XuVanderbilt University Medical Center.

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alan Ashworth · 1999 to 2026
$209.7M
Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Ben Ho Park · 1995 to 2026
$172.8M
TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
The I SPY 2.2 TRIAL: Evolving to Imaging and Molecular Biomarker Response Directed Adaptive Sequential Treatment to Optimize Breast Cancer OutcomesP01CA210961 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Nola M. Hylton-Watson · 2017 to 2026
$22.9M
The Cancer Cell Map Initiative v2.0U54CA274502 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Trey Ideker · 2022 to 2026
$14.2M
Strategy for combining circulating tumor DNA (ctDNA) and magnetic resonance imaging (MRI) measures of tumor burden for prediction of response and outcome in neoadjuvant-treated early breast cancerR01CA255442 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LI, WEN, MAGBANUA, MARK JESUS · 2021 to 2025
$3.3M
NCI NIH HHS P01 CA210961NCI NIH HHS P30 CA068485NCI NIH HHS P30 CA082103NCI NIH HHS P50 CA098131NCI NIH HHS R01 CA255442NCI NIH HHS U54 CA274502
6 · The paper itself

Abstract

This study investigates the association between peripheral blood immunological features and immunotherapy response in breast cancer. We generated and analyzed RNAseq data from 546 blood samples of patients with high-risk stage II/III HER2-negative breast cancer enrolled in the I-SPY2 trial and identified peripheral immune signatures associated with tumor characteristics and immunotherapy response. Triple negative breast cancer (TNBC) patients showed higher T cell receptor (TCR) clonality and immune activation signatures. Responders to the chemotherapy + pembrolizumab regimen had high baseline TCR diversity, with TNBC responders experiencing T cell clonal expansion and activation after treatment. A logistic regression model based on immunological features before and early-on-treatment predicted response to pembrolizumab. The model was validated in an independent cohort of patients treated with dostarlimab in the neoadjuvant setting. We report the potential of peripheral blood-derived gene expression tests to predict immunotherapy benefit, guiding personalized treatment in breast cancer with a minimally invasive approach.

Indexed as

biomarkerBreast cancerimmune checkpoint inhibitorperipheral blood

Identifiers

PMID40671797
PMCPMC12265178

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.