Evidence mapPaperPMID 41883148Full record

ArticleFEBS open bio2026

Blood-based proteomic profiling reveals context-dependent changes in BCL2-associated signaling during taxane therapy in breast cancer patients.

Saira Munshani, Eiman Y Ibrahim, Rozalyn L Rodwin, Leah M Ferrucci, Kim Blenman, Maryam Lustberg, Barbara E Ehrlich

Abstract read
In one paragraph

Article in FEBS open bio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

7 authors.

Saira MunshaniDepartment of Pharmacology, Yale School of Medicine, New Haven, CT, USA.ORCID https://orcid.org/0000-0003-4412-7751
Eiman Y IbrahimDepartment of Pharmacology, Yale School of Medicine, New Haven, CT, USA.ORCID https://orcid.org/0000-0002-7445-6540
Rozalyn L RodwinDepartment of Pediatrics (Hematology/Oncology), Yale School of Medicine, New Haven, CT, USA.ORCID https://orcid.org/0000-0002-5243-3284
Leah M FerrucciDepartment of Chronic Disease Epidemiology and Yale Cancer Center, Yale School of Public Health, New Haven, CT, USA.ORCID https://orcid.org/0000-0001-9488-7586
Kim BlenmanDepartment of Medicine (Medical Oncology), Yale School of Medicine, New Haven, CT, USA.ORCID https://orcid.org/0000-0001-6070-0728
Maryam LustbergDepartment of Medicine (Medical Oncology), Yale School of Medicine, New Haven, CT, USA.ORCID https://orcid.org/0000-0001-8559-5645
Barbara E EhrlichDepartment of Pharmacology, Yale School of Medicine, New Haven, CT, USA.ORCID https://orcid.org/0000-0001-9657-9704

Funding

Breast Cancer Research Foundation BCRF-22-184Doris Duke Charitable Foundation 2021266HESI ThriveHyundai Hope on Wheels Young Investigator Award
6 · The paper itself

Abstract

The quality of life for many cancer survivors is compromised due to severe, long-lasting side effects of chemotherapy. As part of a pilot, prospective, non-interventional study to examine the side effects of chemotherapy in breast cancer patients, we examined the change in protein expression in blood collected from patients before and after treatment with taxanes for 12 weeks. Protein expression was measured with reverse phase proteomic arrays (RPPA), which revealed divergent changes in apoptosis, senescence, and calcium signaling-related proteins depending on treatment setting (neoadjuvant vs. adjuvant). The largest change identified was BCL2 (B-cell lymphoma 2), a founding member of the BCL2 family of proteins that regulate apoptosis. Other proteins regulated by BCL2, including RB1 (retinoblastoma protein 1) and NLRP3 (NLR family pyrin domain containing 3) changed significantly over the course of treatment. These differences are consistent with intracellular calcium signaling dysregulation and activation of stress-response pathways that overlap with senescent-associated secretory phenotype (SASP)-like signaling, which has been implicated in cancer recurrence. To contextualize these observations, we generated Kaplan-Meier survival curves using publicly available proteomics data from The Cancer Proteome Atlas (TCPA). This work aims to demonstrate how blood-based proteomics can serve as a non-invasive method to monitor systemic physiological shifts during cancer therapy, offering a framework for generating hypotheses about chemotherapy timing and long-term outcomes.

Indexed as

apoptosisbreast cancercalcium signalingpaclitaxelsenescence

Identifiers

PMID41883148
PMCPMC13398688

What Socratic holds

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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 Socratic graph.