Evidence map›Paper›PMID 37380628›Full record

ArticleNature communications2023

A landscape of response to drug combinations in non-small cell lung cancer.

Nishanth Ulhas Nair, Patricia Greninger, Xiaohu Zhang, Adam A Friedman, Arnaud Amzallag, Eliane Cortez, Avinash Das Sahu, Joo Sang Lee, Anahita Dastur, Regina K Egan and 20 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
10.3field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 52 citations in OpenAlex.

  1. Trial
  2. Review
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  4. A Pan-Cancer Ex Vivo Drug Screen Atlas for Functional Precision Oncology.bioRxiv : the preprint server for biology · 2026
    Article
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  11. Review
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  14. Article
  15. Review
  16. Article
  17. Scaling up drug combination surface prediction.Briefings in bioinformatics · 2025
    Article
  18. Article
  19. Article
  20. Article
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

30 authors at 6 institutions in 3 countries.

Nishanth Ulhas NairCancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-8832-0329
Patricia GreningerMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-9110-7695
Xiaohu ZhangHoward Hughes Medical Institute, Bethesda, MD, USA.
Adam A FriedmanMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Arnaud AmzallagMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Eliane CortezMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Avinash Das SahuUniversity of New Mexico, Comprehensive Cancer Center, Albuquerque, NM, USA.
Joo Sang LeeSamsung Medical Center, Sungkyunkwan University School of Medicine, Suwon, 16419, Republic of Korea.ORCID http://orcid.org/0000-0001-8564-0848
Anahita DasturMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Regina K EganMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Ellen MurchieMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Michele CeribelliHoward Hughes Medical Institute, Bethesda, MD, USA.
Giovanna S CrowtherMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Erin BeckHoward Hughes Medical Institute, Bethesda, MD, USA.
Joseph McClanaghanMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Carleen Klump-ThomasHoward Hughes Medical Institute, Bethesda, MD, USA.ORCID http://orcid.org/0000-0002-6646-6132
Jessica L BoisvertMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Leah J DamonMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Kelli M WilsonHoward Hughes Medical Institute, Bethesda, MD, USA.ORCID http://orcid.org/0000-0003-2636-2766
Jeffrey HoMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Angela TamMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Crystal McKnightHoward Hughes Medical Institute, Bethesda, MD, USA.
Sam MichaelHoward Hughes Medical Institute, Bethesda, MD, USA.
Zina ItkinHoward Hughes Medical Institute, Bethesda, MD, USA.
Mathew J GarnettWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Cambridge, CB10 1SA, UK.ORCID http://orcid.org/0000-0002-2618-4237
Jeffrey A EngelmanMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Daniel A HaberMassachusetts General Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0003-1378-6551
Craig J Thomas *Division of Preclinical Innovation, National Center for Advancing Translational Sciences, National Institute of Health, Rockville, MD, 20850, USA.ORCID http://orcid.org/0000-0001-9386-9001
Eytan Ruppin *Cancer Data Science Laboratory, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA. eytan.ruppin@nih.gov.ORCID http://orcid.org/0000-0002-7862-3940
Cyril H Benes *Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. cyrilbenes@gmail.com.ORCID http://orcid.org/0000-0002-8751-9707
Harvard University · USHoward Hughes Medical Institute · USNational Institutes of Health · USSamsung Medical Center · KRUniversity of New Mexico · USWellcome Sanger Institute · GB

Funding

Research Services Section (RSS)ZICTR000242 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI WILSON, KELLI · 2015 to 2025
$64.9M
HTS enabled examination of drug combinationsZIATR000047 · NCATS · NATIONAL CENTER FOR ADVANCING TRANSLATIONAL SCIENCES · PI THOMAS, CRAIG · 2015 to 2025
$7.1M
Wellcome Trust 102696
6 · The paper itself

Abstract

Combination of anti-cancer drugs is broadly seen as way to overcome the often-limited efficacy of single agents. The design and testing of combinations are however very challenging. Here we present a uniquely large dataset screening over 5000 targeted agent combinations across 81 non-small cell lung cancer cell lines. Our analysis reveals a profound heterogeneity of response across the tumor models. Notably, combinations very rarely result in a strong gain in efficacy over the range of response observable with single agents. Importantly, gain of activity over single agents is more often seen when co-targeting functionally proximal genes, offering a strategy for designing more efficient combinations. Because combinatorial effect is strongly context specific, tumor specificity should be achievable. The resource provided, together with an additional validation screen sheds light on major challenges and opportunities in building efficacious combinations against cancer and provides an opportunity for training computational models for synergy prediction.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsDrug CombinationsHumansDrug Combinations

Identifiers

PMID37380628
PMCPMC10307832
OpenAlexW4382501842

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.