Evidence map›Paper›PMID 32620799›Full record

ArticleNature communications2020

Predicting and affecting response to cancer therapy based on pathway-level biomarkers.

Rotem Ben-Hamo, Adi Jacob Berger, Nancy Gavert, Mendy Miller, Guy Pines, Roni Oren, Eli Pikarsky, Cyril H Benes, Tzahi Neuman, Yaara Zwang and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

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  15. Learning to estimate sample-specific transcriptional networks for 7,000 tumors.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. Proteogenomic discovery ofScience advances · 2025
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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

13 authors.

Rotem Ben-HamoDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
Adi Jacob BergerDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
Nancy GavertDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.ORCID http://orcid.org/0000-0003-1639-4684
Mendy MillerBroad Institute of MIT and Harvard, Cambridge, MA, 02145, USA.
Guy PinesDepartment of Thoracic Surgery, Kaplan Medical Center, Affiliated to the Hebrew University School of Medicine, Rehovot, Israel.ORCID http://orcid.org/0000-0003-2923-660X
Roni OrenDepartment of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel.
Eli PikarskyDepartment of Pathology, Hebrew University of Jerusalem, Jerusalem, Israel.
Cyril H BenesThe Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, Ramat-Gan, 52900, Israel.
Tzahi NeumanDepartment of Pathology, Hebrew University of Jerusalem, Jerusalem, Israel.
Yaara ZwangDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel.
Sol EfroniThe Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, Ramat-Gan, 52900, Israel.ORCID http://orcid.org/0000-0001-7927-6349
Gad GetzBroad Institute of MIT and Harvard, Cambridge, MA, 02145, USA. gadgetz@broadinstitute.org.ORCID http://orcid.org/0000-0002-0936-0753
Ravid StraussmanDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel. ravidst@weizmann.ac.il.ORCID http://orcid.org/0000-0002-9476-329X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying robust, patient-specific, and predictive biomarkers presents a major obstacle in precision oncology. To optimize patient-specific therapeutic strategies, here we couple pathway knowledge with large-scale drug sensitivity, RNAi, and CRISPR-Cas9 screening data from 460 cell lines. Pathway activity levels are found to be strong predictive biomarkers for the essentiality of 15 proteins, including the essentiality of MAD2L1 in breast cancer patients with high BRCA-pathway activity. We also find strong predictive biomarkers for the sensitivity to 31 compounds, including BCL2 and microtubule inhibitors (MTIs). Lastly, we show that Bcl-xL inhibition can modulate the activity of a predictive biomarker pathway and re-sensitize lung cancer cells and tumors to MTI therapy. Overall, our results support the use of pathways in helping to achieve the goal of precision medicine by uncovering dozens of predictive biomarkers.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAnimalsAntineoplastic AgentsBiomarkers, TumorBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsCell Line, TumorFemaleGene Regulatory NetworksHumansLung NeoplasmsMiceNeoplasmsPrecision MedicineAntineoplastic AgentsBiomarkers, TumorBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, human

Identifiers

PMID32620799
PMCPMC7335104

What OpenQuestion holds

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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.