Evidence map›Paper›PMID 40165206›Full record

ArticleBreast cancer research : BCR2025

CRISPR screens with trastuzumab emtansine in HER2-positive breast cancer cell lines reveal new insights into drug resistance.

Barbara A Lipert, Kyla N Siemens, Aziza Khan, Rebecca Airey, Gech Heng Dam, Man Lu, Marcella Flinterman, Queenie Yong, Tet Woo Lee, Francis W Hunter and 1 more

Abstract read
In one paragraph

Article in Breast cancer research : BCR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Antibody-drug conjugate engineering: from design to efficacy and safety.Signal transduction and targeted therapy · 2026
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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

11 authors.

Barbara A LipertAuckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.
Kyla N SiemensAuckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.
Aziza KhanAuckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.
Rebecca AireyAuckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.
Gech Heng DamAuckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.
Man LuAuckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.
Marcella FlintermanAuckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.
Queenie YongAuckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.
Tet Woo LeeAuckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.
Francis W Hunter *Auckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.
Stephen M F Jamieson *Auckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand. s.jamieson@auckland.ac.nz.

Funding

Cancer Research Trust New Zealand 1921 PGHealth Research Council of New Zealand 22/345
6 · The paper itself

Abstract

backgroundTrastuzumab emtansine (T-DM1) is an antibody-drug conjugate that is an effective therapy for HER2-positive breast cancer; however, its efficacy is limited by drug resistance. While multiple mechanisms of resistance have been proposed, these are not yet well understood. Greater understanding of T-DM1 sensitivity and resistance could provide new combination strategies to overcome resistance or predictive biomarkers to guide therapy.

methodsWe have conducted CRISPR/Cas9 functional genomics modifier screens in HER2-positive breast cancer cell lines to allow for unbiased discovery of T-DM1 sensitivity and resistance genes. Whole-genome knockout screens were carried out in MDA-MB-361 and MDA-MB-453 cells treated with T-DM1 and its payload cytotoxin DM1. Hits were validated in secondary T-DM1 screens using a focused single-guide RNA (sgRNA) library and subsequently by individual gene knockout.

resultsThe whole-genome CRISPR screens with T-DM1 and DM1 identified 599 genes as potential modifiers of T-DM1 sensitivity and resistance. Of these, 17 genes were significantly enriched and 3 genes depleted at P < 0.001 in either or both MDA-MB-361 and MDA-MB-453 libraries in the secondary screens. Among the top hits, were known T-DM1 sensitivity genes ERBB2 and SLC46A3, in addition to negative regulators of mTOR complex 1: TSC1 and TSC2. MDA-MB-453 clones with knockout of TSC1 or partial knockout of TSC2 were more resistant to T-DM1 than wild type cells in competition growth assays and to T-DM1 and other HER2 targeting therapies (T-DXd, lapatinib and neratinib) in growth inhibition assays, and had increased internalisation of T-DM1 at 6 h. T-DM1 and the mTOR inhibitor everolimus demonstrated synergistic activity at inhibiting cell proliferation at multiple T-DM1 concentrations across four HER2-positive breast cancer cell lines.

conclusionsOur CRISPR screening approach with T-DM1 in HER2-positive breast cancer cell lines identified genes not previously implicated in T-DM1 sensitivity or resistance, including TSC1 and TSC2. These genes may inform new strategies to enhance T-DM1 therapy in the clinic.

Indexed as

Ado-Trastuzumab EmtansineAntineoplastic Agents, ImmunologicalBreast NeoplasmsCRISPR-Cas SystemsDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesMaytansineCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansTrastuzumabAdo-Trastuzumab EmtansineAntineoplastic Agents, ImmunologicalERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesMaytansineTrastuzumabAntibody-drug conjugatesCRISPR/Cas9Drug resistanceFunctional genomicsHER2-positive breast cancerT-DM1TSC1TSC2

Identifiers

PMID40165206
PMCPMC11959757

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.