Evidence map›Paper›PMID 31455892›Full record

ReviewNature reviews. Cancer2019

An analysis of genetic heterogeneity in untreated cancers.

Johannes G Reiter, Marina Baretti, Jeffrey M Gerold, Alvin P Makohon-Moore, Adil Daud, Christine A Iacobuzio-Donahue, Nilofer S Azad, Kenneth W Kinzler, Martin A Nowak, Bert Vogelstein

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed
8.3field-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

141 citing papers in PubMed, 207 citations in OpenAlex.

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

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

10 authors at 6 institutions in 1 country.

Johannes G ReiterCanary Center for Cancer Early Detection, Department of Radiology, Stanford University School of Medicine, Palo Alto, CA, USA. johannes.reiter@stanford.edu.ORCID http://orcid.org/0000-0002-0170-7353
Marina BarettiThe Sidney Kimmel Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-0125-2405
Jeffrey M GeroldProgram for Evolutionary Dynamics, Harvard University, Cambridge, MA, USA.
Alvin P Makohon-MooreThe David M. Rubenstein Center for Pancreatic Cancer Research, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Adil DaudUniversity of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-6617-8421
Christine A Iacobuzio-DonahueThe David M. Rubenstein Center for Pancreatic Cancer Research, Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, NY, USA.ORCID http://orcid.org/0000-0002-4672-3023
Nilofer S AzadThe Sidney Kimmel Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Kenneth W KinzlerThe Sidney Kimmel Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Martin A NowakProgram for Evolutionary Dynamics, Harvard University, Cambridge, MA, USA. martin_nowak@harvard.edu.ORCID http://orcid.org/0000-0001-5489-0908
Bert VogelsteinThe Sidney Kimmel Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD, USA. vogelbe@jhmi.edu.ORCID http://orcid.org/0000-0003-0766-3854
Johns Hopkins University · USHarvard University · USMemorial Sloan Kettering Cancer Center · USHoward Hughes Medical Institute · USStanford University · USUniversity of California, San Francisco · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
Training Program in Bioinformatics and Integrative GenomicsT32HG002295 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Peter J Park · 2001 to 2026
$15.8M
MOLECULAR GENETIC ANALYSIS OF COLORECTAL CANCERR37CA043460 · NCI · JOHNS HOPKINS UNIVERSITY · PI VOGELSTEIN, BERT · 1997 to 2016
$7.4M
Translational Research in Oncology Training ProgramT32CA160001 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SAWYERS, CHARLES L. · 2011 to 2020
$2.0M
(PQB6) Genetics of Subclonal Evolution in Pancreatic CancerR01CA179991 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI IACOBUZIO-DONAHUE, CHRISTINE A · 2013 to 2016
$1.3M
Inferring the roots of metastases and their effects on patient survivalR00CA229991 · NCI · STANFORD UNIVERSITY · PI REITER, JOHANNES G · 2019 to 2021
$743k
Inferring the roots of metastases and their effects on patient survivalK99CA229991 · NCI · STANFORD UNIVERSITY · PI REITER, JOHANNES G · 2018 to 2018
$155k
Subclonal Evolution in Metastatic Pancreatic CancerF31CA180682 · NCI · JOHNS HOPKINS UNIVERSITY · PI MAKOHON-MOORE, ALVIN · 2013 to 2014
$74k
NCI NIH HHS F31 CA180682NCI NIH HHS K99 CA229991NCI NIH HHS P30 CA008748NCI NIH HHS R00 CA229991NCI NIH HHS R01 CA179991NCI NIH HHS R37 CA043460NCI NIH HHS T32 CA160001NHGRI NIH HHS T32 HG002295
6 · The paper itself

Abstract

Genetic intratumoural heterogeneity is a natural consequence of imperfect DNA replication. Any two randomly selected cells, whether normal or cancerous, are therefore genetically different. Here, we review the different forms of genetic heterogeneity in cancer and re-analyse the extent of genetic heterogeneity within seven types of untreated epithelial cancers, with particular regard to its clinical relevance. We find that the homogeneity of predicted functional mutations in driver genes is the rule rather than the exception. In primary tumours with multiple samples, 97% of driver-gene mutations in 38 patients were homogeneous. Moreover, among metastases from the same primary tumour, 100% of the driver mutations in 17 patients were homogeneous. With a single biopsy of a primary tumour in 14 patients, the likelihood of missing a functional driver-gene mutation that was present in all metastases was 2.6%. Furthermore, all functional driver-gene mutations detected in these 14 primary tumours were present among all their metastases. Finally, we found that individual metastatic lesions responded concordantly to targeted therapies in 91% of 44 patients. These analyses indicate that the cells within the primary tumours that gave rise to metastases are genetically homogeneous with respect to functional driver-gene mutations, and we suggest that future efforts to develop combination therapies have the potential to be curative.

Indexed as

Genetic HeterogeneityMutationAnimalsBiopsyClinical Trials as TopicEpigenesis, GeneticHumansMedical OncologyNeoplasm MetastasisSkin Neoplasms

Identifiers

PMID31455892
PMCPMC6816333
OpenAlexW2971091813

What OpenQuestion holds

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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.