Evidence map›Paper›PMID 39358429›Full record

ArticleNPJ precision oncology2024

A phenocopy signature of TP53 loss predicts response to chemotherapy.

Hamza Bakhtiar, Marina N Sharifi, Kyle T Helzer, Yue Shi, Matthew L Bootsma, Tianfu A Shang, Matthew R Chrostek, Tracy J Berg, S Carson Callahan, Viridiana Carreno and 6 more

Abstract read
In one paragraph

Article in NPJ precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

16 authors.

Hamza Bakhtiar *Department of Human Oncology, University of Wisconsin, Madison, WI, USA.
Marina N Sharifi *Department of Medicine, Division of Hematology, Oncology, and Palliative Care, University of Wisconsin, Madison, WI, USA.ORCID http://orcid.org/0000-0003-0128-3033
Kyle T HelzerDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.
Yue ShiDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.
Matthew L BootsmaDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.
Tianfu A ShangDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.
Matthew R ChrostekDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.ORCID http://orcid.org/0000-0002-9457-1431
Tracy J BergDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.
S Carson CallahanDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.ORCID http://orcid.org/0000-0002-0152-2666
Viridiana CarrenoDepartment of Medicine, Division of Hematology, Oncology, and Palliative Care, University of Wisconsin, Madison, WI, USA.
Grace C BlitzerDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA.
Malinda T WestDepartment of Medicine, Division of Hematology, Oncology, and Palliative Care, University of Wisconsin, Madison, WI, USA.
Ruth M O'ReganDepartment of Medicine, University of Rochester, Rochester, NY, USA.
Kari B WisinskiDepartment of Medicine, Division of Hematology, Oncology, and Palliative Care, University of Wisconsin, Madison, WI, USA.
Martin SjöströmDepartment of Radiation Oncology, University of California San Francisco, San Francisco, CA, 94143, USA.ORCID http://orcid.org/0000-0002-2629-9966
Shuang G ZhaoDepartment of Human Oncology, University of Wisconsin, Madison, WI, USA. shgzhao@humonc.wisc.edu.ORCID http://orcid.org/0000-0002-9166-6507

Funding

UW COMPREHENSIVE CANCER CENTER SUPPORTP30CA014520 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Christian Capitini · 1985 to 2026
$142.6M
DYNAMIC MOLECULAR EVOLUTION OF TREATMENT RESISTANT CANCERDP2CA271832 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI ZHAO, SHUANG · 2021 to 2024
$2.3M
Doris Duke Charitable Foundation (DDCF) PSF-2021088NCI NIH HHS DP2 CA271832NCI NIH HHS P30 CA014520U.S. Department of Health & Human Services | National Institutes of Health (NIH) DP2-OD030734U.S. Department of Health & Human Services | National Institutes of Health (NIH) P30-CA014520
6 · The paper itself

Abstract

In preclinical studies, p53 loss of function impacts chemotherapy response, but this has not been consistently validated clinically. We trained a TP53-loss phenocopy gene expression signature from pan-cancer clinical samples in the TCGA. In vitro, the TP53-loss phenocopy signature predicted chemotherapy response across cancer types. In a clinical dataset of 3003 breast cancer samples treated with neoadjuvant chemotherapy, the TP53-loss phenocopy samples were 56% more likely to have a pathologic complete response (pCR), with a significant association between TP53-loss phenocopy and pCR in both ER positive and ER negative tumors. In an independent clinical validation in the I-SPY2 trial (N = 987), we confirmed the association with neoadjuvant chemotherapy pCR and found higher rates of chemoimmunotherapy response in TP53-loss phenocopy tumors compared to non-TP53-loss phenocopy tumors (64% vs. 28%). The TP53-loss phenocopy signature predicts chemotherapy response across cancer types in vitro, and in a proof-of-concept clinical validation is associated with neoadjuvant chemotherapy response across multiple clinical breast cancer cohorts.

Identifiers

PMID39358429
PMCPMC11447220

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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.