Evidence map›Paper›PMID 34638492›Full record

ArticleCancers2021

Drug-Induced Resistance and Phenotypic Switch in Triple-Negative Breast Cancer Can Be Controlled via Resolution and Targeting of Individualized Signaling Signatures.

Swetha Vasudevan, Ibukun A Adejumobi, Heba Alkhatib, Sangita Roy Chowdhury, Shira Stefansky, Ariel M Rubinstein, Nataly Kravchenko-Balasha

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Metabolic stress conditions dictate MAPKAPK2-dependent efficiency of MEK1/2 inhibition in colorectal carcinoma.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  9. Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
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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

7 authors at 1 institution in 1 country.

Swetha VasudevanThe Institute of Biomedical and Oral Research, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.ORCID 0000-0002-1459-8854
Ibukun A AdejumobiThe Institute of Biomedical and Oral Research, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.
Heba AlkhatibThe Institute of Biomedical and Oral Research, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.
Sangita Roy ChowdhuryThe Institute of Biomedical and Oral Research, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.
Shira StefanskyThe Institute of Biomedical and Oral Research, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.
Ariel M RubinsteinThe Institute of Biomedical and Oral Research, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.
Nataly Kravchenko-BalashaThe Institute of Biomedical and Oral Research, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel.ORCID 0000-0001-6943-7479
Hebrew University of Jerusalem · IL

Funding

Identification of adaptive response mechanisms in breast cancer by information theory and proteomicsU01CA238720 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI KRAVCHENKO-BALASHA, NATALY, WHITE, FOREST M · 2019 to 2023
$2.0M
Israel Science Foundation 1961/19NIH HHS U01 CA238720
6 · The paper itself

Abstract

Triple-negative breast cancer (TNBC) is an aggressive subgroup of breast cancers which is treated mainly with chemotherapy and radiotherapy. Epidermal growth factor receptor (EGFR) was considered to be frequently expressed in TNBC, and therefore was suggested as a therapeutic target. However, clinical trials of EGFR inhibitors have failed. In this study, we examine the relationship between the patient-specific TNBC network structures and possible mechanisms of resistance to anti-EGFR therapy. Using an information-theoretical analysis of 747 breast tumors from the TCGA dataset, we resolved individualized protein network structures, namely patient-specific signaling signatures (PaSSS) for each tumor. Each PaSSS was characterized by a set of 1-4 altered protein-protein subnetworks. Thirty-one percent of TNBC PaSSSs were found to harbor EGFR as a part of the network and were predicted to benefit from anti-EGFR therapy as long as it is combined with anti-estrogen receptor (ER) therapy. Using a series of single-cell experiments, followed by in vivo support, we show that drug combinations which are not tailored accurately to each PaSSS may generate evolutionary pressure in malignancies leading to an expansion of the previously undetected or untargeted subpopulations, such as ER+ populations. This corresponds to the PaSSS-based predictions suggesting to incorporate anti-ER drugs in certain anti-TNBC treatments. These findings highlight the need to tailor anti-TNBC targeted therapy to each PaSSS to prevent diverse evolutions of TNBC tumors and drug resistance development.

Indexed as

anti-EGFR therapydrug resistancepatient-specific altered signaling signaturesprecision medicinetargeted therapytriple negative breast cancer

Identifiers

PMID34638492
PMCPMC8507629
OpenAlexW3204007145

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.