Evidence map›Paper›PMID 26729788›Full record

ArticleCancer research2016

Tumor Heterogeneity--A 'Contemporary Concept' Founded on Historical Insights and Predictions.

Danny R Welch

Abstract read
In one paragraph

Article in Cancer research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing 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

67 citing papers in PubMed.

  1. Review
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  18. Review
  19. Tumour Genetic Heterogeneity in Relation to Oral Squamous Cell Carcinoma and Anti-Cancer Treatment.International journal of environmental research and public health · 2023
    Review
  20. Delineating the intra-patient heterogeneity of molecular alterations in treatment-naïve colorectal cancer with peritoneal carcinomatosis.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Article

7 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

1 author.

Danny R WelchDepartment of Cancer Biology, The University of Kansas Medical Center, Kansas City, Kansas. Department of Molecular & Integrative Physiology, The University of Kansas Medical Center, Kansas City, Kansas. Department of Pathology, The University of Kansas Medical Center, Kansas City, Kansas. The University of Kansas Cancer Center, The University of Kansas Medical Center, Kansas City, Kansas. DWelch@kumc.edu.

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI NICOLE L NOLLEN · 2012 to 2026
$40.1M
MOLECULAR REGULATION OF BREAST CANCER METASTASISR01CA087728 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI WELCH, DANNY R. · 2000 to 2008
$2.7M
KISS1: Defining Mechanisms for Antimetastatic TherapyR01CA134981 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI WELCH, DANNY R. · 2009 to 2014
$1.5M
NCI NIH HHS P30 CA168524NCI NIH HHS R01 CA087728NCI NIH HHS R01 CA134981
6 · The paper itself

Abstract

Heterogeneity is commonplace in all cancer types and at several levels--intrinsic (genetic), epigenetic, positional, and at the population level. The different subpopulations with a tumor mass communicate with each other and influence the behavior of other tumor cells both locally and at a distance. These properties have profound implications regarding the understanding of tumor behavior and how therapies are (or should be) administered. This brief commentary highlights the insightful review of Gloria Heppner and how it has influenced cancer research even three decades after it was published.

Indexed as

Genetic HeterogeneityHumansNeoplasmsTumor Microenvironment

Identifiers

PMID26729788
PMCPMC4773023

What OpenQuestion holds

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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.