Evidence map›Paper›PMID 37974028›Full record

ArticleNature cancer2023

Additivity predicts the efficacy of most approved combination therapies for advanced cancer.

Haeun Hwangbo, Sarah C Patterson, Andy Dai, Deborah Plana, Adam C Palmer

Abstract read
PubMed Publisher
In one paragraph

Article in Nature cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
13.7field-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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Panitumumab-Based EGFR Blockade in SMARCB1-Deficient Renal Medullary Carcinoma: Preclinical Basis and Prospective Clinical Activity.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
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  4. Article
  5. Review
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  10. Review
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  13. Biodegradable nanofibrous scaffolds enhance standard of care for glioblastoma via localized targeted therapy.Journal of controlled release : official journal of the Controlled Release Society · 2025
    Article
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  15. Article
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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

5 authors at 3 institutions in 1 country.

Haeun HwangboDepartment of Pharmacology, Computational Medicine Program, UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-3687-4282
Sarah C PattersonDepartment of Pharmacology, Computational Medicine Program, UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.ORCID 0000-0002-1393-895X
Andy DaiNorth Carolina School of Science and Mathematics, Durham, NC, USA.ORCID 0000-0001-6149-3062
Deborah PlanaHarvard-MIT Division of Health Sciences and Technology, Harvard Medical School and MIT, Cambridge, MA, USA.ORCID 0000-0002-4218-1693
Adam C PalmerDepartment of Pharmacology, Computational Medicine Program, UNC Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. palmer@unc.edu.ORCID 0000-0001-5028-7028
University of North Carolina at Chapel Hill · USHarvard University · USNorth Carolina School of Science and Mathematics · US

Funding

Medical Scientist Training ProgramT32GM007753 · NIGMS · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI WALENSKY, LOREN DAVID · 1985 to 2021
$50.0M
Predoctoral Training in the Pharmacological SciencesT32GM135095 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Joseph Mauro Calabrese, Michael James Emanuele · 2020 to 2026
$3.6M
Clinical trial data analysis to design novel treatment regimens in oncologyF30CA260780 · NCI · HARVARD MEDICAL SCHOOL · PI PLANA, DEBORAH · 2021 to 2023
$142k
U.S. Department of Health & Human Services | NIH | National Cancer Institute (NCI) F30-CA260780U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) T32-GM007753U.S. Department of Health & Human Services | NIH | National Institute of General Medical Sciences (NIGMS) T32-GM135095
6 · The paper itself

Abstract

Most advanced cancers are treated with drug combinations. Rational design aims to identify synergistic combinations, but existing synergy metrics apply to preclinical, not clinical data. Here we propose a model of drug additivity for progression-free survival (PFS) to assess whether clinical efficacies of approved drug combinations are additive or synergistic. This model includes patient-to-patient variability in best single-drug response plus the weaker drug per patient. Among US Food and Drug Administration approvals of drug combinations for advanced cancers (1995-2020), 95% exhibited additive or less than additive effects on PFS times. Among positive or negative phase 3 trials published between 2014-2018, every combination that improved PFS was expected to succeed by additivity (100% sensitivity) and most failures were expected to fail (78% specificity). This study shows synergy is neither a necessary nor common property of clinically effective drug combinations. The predictable efficacy of approved combinations suggests that additivity can be a design principle for combination therapies.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsNeoplasmsCombined Modality TherapyDrug CombinationsHumansUnited StatesDrug Combinations

Identifiers

PMID37974028
OpenAlexW4388721917

What OpenQuestion holds

Textmetadata
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.