Evidence map›Paper›PMID 42772938›Full record

ArticleImmunoHorizons2026

Differential peripheral immune dynamics underlie therapeutic response to chemotherapy and chemoimmunotherapy in triple-negative breast cancer.

Zahra Mesrizadeh, Kavitha Mukund, Shankar Subramaniam

Abstract read
In one paragraph

Article in ImmunoHorizons, 2026. 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

5 · Who and what money

Authors and funding

3 authors.

Zahra MesrizadehDepartment of Bioengineering, University of California San Diego, La Jolla, CA, United States.
Kavitha MukundDepartment of Bioengineering, University of California San Diego, La Jolla, CA, United States.
Shankar SubramaniamDepartment of Bioengineering, University of California San Diego, La Jolla, CA, United States.ORCID 0000-0002-8059-4659

Funding

The CFDE WorkbenchOT2OD036435 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MA'AYAN, AVI, SUBRAMANIAM, SHANKAR · 2023 to 2025
$7.2M
Creation of the Human Cancer Metabolome AtlasR01CA282657 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Blake Richey Rushing · 2024 to 2026
$3.3M
Biomedical Data Commons Workbench (BDCW)OT2OD030544 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANIAM, SHANKAR · 2020 to 2024
$3.2M
NCI NIH HHS R01 CA282657NIH HHS OT2 OD030544NIH HHS OT2 OD036435NIH HHS R01 CA282657
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is an aggressive breast cancer subtype with limited treatment options and response to immune checkpoint inhibitors. Tumor-infiltrating lymphocytes have been extensively studied; however, the integration of peripheral immune dynamics with mechanistic regulation underlying therapeutic response remain poorly defined. Here, we integrate immune-state modeling with pathway-level mechanistic inference to analyze single-cell RNA sequencing of PBMCs from patients with advanced TNBC treated with paclitaxel alone or in combination with the anti-PD-L1 Ab atezolizumab. This framework leverages treatment arm, longitudinal sampling, and clinical response to resolve coordinated immune programs across lymphoid and myeloid compartments. We identified distinct treatment- and response-specific states before and after treatment. Chemotherapy responders displayed pretreatment adaptive immune priming, whereas combination-therapy responders exhibited preexisting effector T-cell activity coupled with tumor PD-L1 expression. In contrast, chemotherapy nonresponders developed persistent post-treatment immune dysregulation in regulatory and terminal effector programs, whereas combination-therapy nonresponders demonstrated maladaptive remodeling of adaptive and innate compartments, including dysfunctional NK and metabolically reprogrammed myeloid populations. Across regimens, pathways involving protein translation, metabolic adaptation, and stress signaling emerged as shared modulators of response. These findings suggest that coordinated adaptive-innate immune dynamics underlie therapeutic efficacy, whereas systemic immune exhaustion and myeloid immunoregulation lead to resistance. Projection of these peripheral immune programs onto independent I-SPY2 showed concordant associations with tumor immune phenotypes and pathological complete response, supporting generalizability of the findings. Our study demonstrates the utility of an integrative approach for linking peripheral immune state organization with mechanistic insights, informing response in TNBC.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsImmune Checkpoint InhibitorsImmunotherapyTriple Negative Breast NeoplasmsAntibodies, Monoclonal, HumanizedB7-H1 AntigenFemaleHumansLymphocytes, Tumor-InfiltratingPaclitaxelTumor MicroenvironmentAntibodies, Monoclonal, HumanizedatezolizumabB7-H1 AntigenCD274 protein, humanImmune Checkpoint InhibitorsPaclitaxelchemotherapyimmune checkpoint blockadetriple-negative breast cancertumor microenvironment

Identifiers

PMID42772938
PMCPMC13597118

What OpenQuestion holds

Textmetadata
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.