Evidence map›Paper›PMID 40294066›Full record

ArticleMolecular oncology2025

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation.

Maya Dadiani, Gilgi Friedlander, Gili Perry, Nora Balint-Lahat, Shlomit Gilad, Dana Morzaev-Sulzbach, Anjana Shenoy, Noa Bossel Ben-Moshe, Anya Pavlovsky, Rinat Bernstein-Molho and 5 more

Abstract read
In one paragraph

Article in Molecular oncology, 2025. 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. Review
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

15 authors.

Maya DadianiCancer Research Center, Sheba Medical Center, Ramat Gan, Israel.ORCID 0000-0002-1561-0755
Gilgi FriedlanderMantoux Bioinformatics Institute, The Nancy & Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel.
Gili PerryCancer Research Center, Sheba Medical Center, Ramat Gan, Israel.
Nora Balint-LahatPathology Institute, Sheba Medical Center, Ramat Gan, Israel.
Shlomit GiladThe Nancy & Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot, Israel.
Dana Morzaev-SulzbachCancer Research Center, Sheba Medical Center, Ramat Gan, Israel.
Anjana ShenoySackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.
Noa Bossel Ben-MosheDepartment of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel.
Anya PavlovskyPathology Institute, Sheba Medical Center, Ramat Gan, Israel.
Rinat Bernstein-MolhoSackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.
Eytan DomanyDepartment of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel.
Iris BarshackPathology Institute, Sheba Medical Center, Ramat Gan, Israel.
Tamar GeigerSackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.
Bella Kaufman *Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel.
Einav Nili Gal-YamOncology Institute, Sheba Medical Center, Ramat Gan, Israel.

Funding

Israel Ministry of Science 3-11175
6 · The paper itself

Abstract

Nongenetic adaptive resistance to chemotherapy, driven by transcriptional rewiring, is emerging as a significant mechanism in tumor survival. In this study we combined longitudinal transcriptomics with temporal pattern analysis to investigate patient-specific mechanisms underlying acquired resistance in breast cancer. Matched tumor biopsies (pretreatment, posttreatment, and adjacent normal) were collected from breast cancer patients who received neoadjuvant chemotherapy. Transcriptomes were analyzed by longitudinal gene-pattern classification to track patient-specific gene expression alterations that occur during treatment. Our findings reveal that resistance-associated genes were already dysregulated in primary tumors, suggesting the presence of a preexisting drug-tolerant state. While each patient displayed unique resistance-associated gene rewiring, these alterations converged into a limited number of dysregulated functional modules. Notably, patients receiving the same treatment exhibited distinct rewiring of genes and pathways, revealing parallel, individualized routes to resistance. In conclusion, we propose that tumor cells survive chemotherapy by sustaining or amplifying a preexisting drug-tolerant state that circumvents drug action. We suggest that individualized "chemoresistome maps" could identify cancer vulnerabilities and inform personalized therapeutic strategies to overcome or prevent resistance.

Indexed as

Breast NeoplasmsDrug Resistance, NeoplasmTranscription, GeneticTranscriptomeFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansbreast cancerchemotherapyresistancetranscriptional adaptation

Identifiers

PMID40294066
PMCPMC12688168

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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.