Evidence map›Paper›PMID 39905117›Full record

ArticleScientific reports2025

TNBC response to paclitaxel phenocopies interferon response which reveals cell cycle-associated resistance mechanisms.

Nicholas L Calistri, Tiera A Liby, Zhi Hu, Hongmei Zhang, Mark A Dane, Sean M Gross, Laura M Heiser

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Alterations in PD-L1Medicina (Kaunas, Lithuania) · 2026
    Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Nicholas L CalistriBiomedical Engineering Department, Oregon Health & Science University, Portland, OR, USA.
Tiera A LibyBiomedical Engineering Department, Oregon Health & Science University, Portland, OR, USA.
Zhi HuBiomedical Engineering Department, Oregon Health & Science University, Portland, OR, USA.
Hongmei ZhangBiomedical Engineering Department, Oregon Health & Science University, Portland, OR, USA.
Mark A DaneBiomedical Engineering Department, Oregon Health & Science University, Portland, OR, USA.
Sean M GrossBiomedical Engineering Department, Oregon Health & Science University, Portland, OR, USA.
Laura M HeiserBiomedical Engineering Department, Oregon Health & Science University, Portland, OR, USA. heiserl@ohsu.edu.

Funding

Understanding the origins of rapid recurrence of pancreatic cancer after resectionP30CA069533 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Luiz Eduardo Bertassoni · 1997 to 2026
$60.5M
Understanding the Impact of Microscale and Nanoscale Heterogeneity and ResistanceU54CA209988 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DEMIR, EMEK, HEISER, LAURA MADELINE · 2017 to 2021
$10.3M
Integrated Training in Quantitative and Experimental Cancer Systems BiologyT32CA254888 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Sudarshan Anand, LISA M COUSSENS · 2021 to 2026
$2.2M
NCI NIH HHS P30 CA069533NCI NIH HHS T32 CA254888NCI NIH HHS U54 CA209988U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) P30CA069533U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) T32CA254888U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) U54-CA209988
6 · The paper itself

Abstract

Paclitaxel is a standard of care neoadjuvant therapy for patients with triple negative breast cancer (TNBC); however, it shows limited benefit for locally advanced or metastatic disease. Here we used a coordinated experimental-computational approach to explore the influence of paclitaxel on the cellular and molecular responses of TNBC cells. We found that escalating doses of paclitaxel resulted in multinucleation, promotion of senescence, and initiation of DNA damage induced apoptosis. Single-cell RNA sequencing (scRNA-seq) of TNBC cells after paclitaxel treatment revealed upregulation of innate immune programs canonically associated with interferon response and downregulation of cell cycle progression programs. Systematic exploration of transcriptional responses to paclitaxel and cancer-associated microenvironmental factors revealed common gene programs induced by paclitaxel, IFNB, and IFNG. Transcription factor (TF) enrichment analysis identified 13 TFs that were both enriched based on activity of downstream targets and also significantly upregulated after paclitaxel treatment. Functional assessment with siRNA knockdown confirmed that the TFs FOSL1, NFE2L2 and ELF3 mediate cellular proliferation and also regulate nuclear structure. We further explored the influence of these TFs on paclitaxel-induced cell cycle behavior via live cell imaging, which revealed altered progression rates through G1, S/G2 and M phases. We found that ELF3 knockdown synergized with paclitaxel treatment to lock cells in a G1 state and prevent cell cycle progression. Analysis of publicly available breast cancer patient data showed that high ELF3 expression was associated with poor prognosis and enrichment in programs associated with cell cycle progression. Together these analyses disentangle the diverse aspects of paclitaxel response and identify ELF3 upregulation as a putative biomarker of paclitaxel resistance in TNBC.

Indexed as

Antineoplastic Agents, PhytogenicCell CycleDrug Resistance, NeoplasmInterferonsPaclitaxelTriple Negative Breast NeoplasmsApoptosisCell Line, TumorCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansTranscription FactorsTumor MicroenvironmentAntineoplastic Agents, PhytogenicInterferonsPaclitaxelTranscription FactorsCell cycleInterferon responseLive-cell imagingSingle-cell RNA sequencing (scRNA-seq)Transcription factorTriple negative breast cancer (TNBC)

Identifiers

PMID39905117
PMCPMC11794704

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Registered trials

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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 OpenQuestion graph.