Evidence map›Paper›PMID 39026273›Full record

ArticleGenome biology2024

Single-cell decoding of drug induced transcriptomic reprogramming in triple negative breast cancers.

Farhia Kabeer, Hoa Tran, Mirela Andronescu, Gurdeep Singh, Hakwoo Lee, Sohrab Salehi, Beixi Wang, Justina Biele, Jazmine Brimhall, David Gee and 16 more

Abstract read
In one paragraph

Article in Genome biology, 2024. 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. Review
  2. Article
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  5. Review
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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

26 authors.

Farhia Kabeer *Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.
Hoa Tran *Department of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Mirela Andronescu *Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.
Gurdeep SinghDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Hakwoo LeeDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Sohrab SalehiComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Beixi WangDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Justina BieleDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Jazmine BrimhallDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
David GeeDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Viviana CerdaDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Ciara O'FlanaganDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Teresa AlgaraDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Takako KonoDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Sean BeattyDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Elena ZaikovaDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Daniel LaiDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada.
Eric LeeDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Richard MooreCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada.
Andrew J MungallCanada's Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC, Canada.
IMAXT Consortium
Marc J WilliamsComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Andrew RothDepartment of Molecular Oncology, British Columbia Cancer Research Centre, Vancouver, BC, Canada.
Kieran R CampbellLunenfeld-Tanenbaum Research Institute, University of Toronto, Toronto, ON, Canada.
Sohrab P ShahComputational Oncology, Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Samuel AparicioDepartment of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada. saparicio@bccrc.ca.ORCID 0000-0002-0487-9599

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Cancer Research UK C31893/A25050Institute of Cancer Research FDN-148429NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundThe encoding of cell intrinsic drug resistance states in breast cancer reflects the contributions of genomic and non-genomic variations and requires accurate estimation of clonal fitness from co-measurement of transcriptomic and genomic data. Somatic copy number (CN) variation is the dominant mutational mechanism leading to transcriptional variation and notably contributes to platinum chemotherapy resistance cell states. Here, we deploy time series measurements of triple negative breast cancer (TNBC) single-cell transcriptomes, along with co-measured single-cell CN fitness, identifying genomic and transcriptomic mechanisms in drug-associated transcriptional cell states.

resultsWe present scRNA-seq data (53,641 filtered cells) from serial passaging TNBC patient-derived xenograft (PDX) experiments spanning 2.5 years, matched with genomic single-cell CN data from the same samples. Our findings reveal distinct clonal responses within TNBC tumors exposed to platinum. Clones with high drug fitness undergo clonal sweeps and show subtle transcriptional reversion, while those with weak fitness exhibit dynamic transcription upon drug withdrawal. Pathway analysis highlights convergence on epithelial-mesenchymal transition and cytokine signaling, associated with resistance. Furthermore, pseudotime analysis demonstrates hysteresis in transcriptional reversion, indicating generation of new intermediate transcriptional states upon platinum exposure.

conclusionsWithin a polyclonal tumor, clones with strong genotype-associated fitness under platinum remained fixed, minimizing transcriptional reversion upon drug withdrawal. Conversely, clones with weaker fitness display non-genomic transcriptional plasticity. This suggests CN-associated and CN-independent transcriptional states could both contribute to platinum resistance. The dominance of genomic or non-genomic mechanisms within polyclonal tumors has implications for drug sensitivity, restoration, and re-treatment strategies.

Indexed as

Drug Resistance, NeoplasmSingle-Cell AnalysisTranscriptomeTriple Negative Breast NeoplasmsAnimalsAntineoplastic AgentsDNA Copy Number VariationsEpithelial-Mesenchymal TransitionFemaleGene Expression Regulation, NeoplasticHumansMiceAntineoplastic AgentsCisplatin treatmentClone aware analysisDLP+ single-cell sequencingIn-cis/in-trans genesPDXSensitive/resistant clonesSingle-cell RNA sequencing

Identifiers

PMID39026273
PMCPMC11256464

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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.