Evidence map›Paper›PMID 23805382›Full record

ArticleeLife2013

Evolutionary dynamics of cancer in response to targeted combination therapy.

Ivana Bozic, Johannes G Reiter, Benjamin Allen, Tibor Antal, Krishnendu Chatterjee, Preya Shah, Yo Sup Moon, Amin Yaqubie, Nicole Kelly, Dung T Le and 5 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 338 papers.

0numbers the graph read from it
0cells of the map it votes in
338citing papers in PubMed
27.8field-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

338 citing papers in PubMed, 641 citations in OpenAlex.

  1. Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Trial
  2. Review
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  7. Broad Utility of Ultrasensitive Analysis of ctDNA Dynamics across Solid Tumors Treated with Immunotherapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Exploring evolutionary trajectories of drug resistance.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Article
  19. Review
  20. Article

278 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 10 institutions in 3 countries.

Ivana BozicProgram for Evolutionary Dynamics , Harvard University , Cambridge , United States ; Department of Mathematics , Harvard University , Cambridge , United States.
Johannes G Reiter
Benjamin Allen
Tibor Antal
Krishnendu Chatterjee
Preya Shah
Yo Sup Moon
Amin Yaqubie
Nicole Kelly
Dung T Le
Evan J Lipson
Paul B Chapman
Luis A Diaz
Bert Vogelstein
Martin A Nowak
Memorial Sloan Kettering Cancer Center · USHarvard College Observatory · USHarvard University · USInstitute of Science and Technology Austria · ATCancer Genetics (United States) · USEmmanuel College - Massachusetts · USHoward Hughes Medical Institute · USJohns Hopkins University · USSidney Kimmel Comprehensive Cancer Center · USUniversity of Edinburgh · GB

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
MOLECULAR GENETIC ANALYSIS OF COLORECTAL CANCERR37CA043460 · NCI · JOHNS HOPKINS UNIVERSITY · PI VOGELSTEIN, BERT · 1997 to 2016
$7.4M
Genes from the FAP LocusR37CA057345 · NCI · JOHNS HOPKINS UNIVERSITY · PI KINZLER, KENNETH W. · 2002 to 2016
$7.4M
Phase I study of Clostridium novyi-NT spores in solid tumor cancer patientsR01CA129825 · NCI · JOHNS HOPKINS UNIVERSITY · PI DIAZ, LUIS A · 2007 to 2010
$1.2M
GENES FROM THE FAP LOCUSR01CA057345 · NCI · JOHNS HOPKINS UNIVERSITY · PI KINZLER, KENNETH W. · 1992 to 2001
$734k
THE P53 GENE IN HUMAN NEOPLASIAR01CA043460 · NCI · JOHNS HOPKINS UNIVERSITY · PI VOGELSTEIN, BERT · 1986 to 1995
–
NCI NIH HHS CA129825NCI NIH HHS CA43460NCI NIH HHS CA57345NCI NIH HHS N01-CN-43309NCI NIH HHS P30 CA008748NCI NIH HHS R37 CA043460
6 · The paper itself

Abstract

In solid tumors, targeted treatments can lead to dramatic regressions, but responses are often short-lived because resistant cancer cells arise. The major strategy proposed for overcoming resistance is combination therapy. We present a mathematical model describing the evolutionary dynamics of lesions in response to treatment. We first studied 20 melanoma patients receiving vemurafenib. We then applied our model to an independent set of pancreatic, colorectal, and melanoma cancer patients with metastatic disease. We find that dual therapy results in long-term disease control for most patients, if there are no single mutations that cause cross-resistance to both drugs; in patients with large disease burden, triple therapy is needed. We also find that simultaneous therapy with two drugs is much more effective than sequential therapy. Our results provide realistic expectations for the efficacy of new drug combinations and inform the design of trials for new cancer therapeutics. DOI:http://dx.doi.org/10.7554/eLife.00747.001.

Indexed as

Evolution, MolecularAntineoplastic Combined Chemotherapy ProtocolsHumansMutationNeoplasmscancergeneticsmathematical biologyNonestochastic processestargeted therapy

Identifiers

PMID23805382
PMCPMC3691570
OpenAlexW2123431502

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.