Evidence map›Paper›PMID 31784650›Full record

ReviewOncogene2020

The microcosmos of intratumor heterogeneity: the space-time of cancer evolution.

Michalina Janiszewska

Open access · greenAbstract readReview
In one paragraph

Review in Oncogene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

58 citing papers in PubMed, 86 citations in OpenAlex.

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  13. Molecular therapy. Oncology · 2025
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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

1 author at 1 institution in 1 country.

Michalina JaniszewskaDepartment of Molecular Medicine, The Scripps Research Institute, Jupiter, FL, 33458, USA. mjaniszewska@scripps.edu.ORCID http://orcid.org/0000-0002-8592-5146
Scripps Research Institute · US

Funding

Intratumor heterogeneity and therapeutic resistanceR00CA201606 · NCI · SCRIPPS FLORIDA · PI JANISZEWSKA, MICHALINA · 2018 to 2020
$852k
Intratumor heterogeneity and therapeutic resistanceK99CA201606 · NCI · DANA-FARBER CANCER INST · PI JANISZEWSKA, MICHALINA · 2016 to 2017
$252k
NCI NIH HHS K99 CA201606NCI NIH HHS R00 CA201606
6 · The paper itself

Abstract

The Cancer Genome Atlas consortium brought us terabytes of information about genetic alterations in different types of human tumors. While many cancer-driver genes have been identified through these efforts, interrogating cancer genomes has also shed new light on tumor complexity. Mutations were found to vary tremendously in their allelic frequencies within the same tumor. Based on those variant allelic frequencies grouping, an estimate of genetically distinct "clones" of cancer cells can be determined for each tumor. It was estimated that 4-8 clones are present in every human tumor. Presence of distinct clones, cells that differ in their genotype and/or phenotype, is one of the roots for the major challenge of effectively curing cancer patients. Any given treatment applied to a heterogeneous mixture of cancer cells will yield distinct responses in different cells and may be ineffective in killing particular clones. Moreover, in highly heterogeneous tumors, stochastically, there is a higher chance of presence of traits, such as point mutations in key receptor tyrosine kinases, that drive drug resistance. Thus, intratumor heterogeneity is like an arsenal, providing a variety of weapons for self-defense against cancer-targeted therapy. However, in this arsenal the supplies are constantly changing, as cancer cells are accumulating new mutations. What is also changing is the battlefield-the tumor microenvironment including all noncancerous cells within the tumor and surrounding tissue, which also contribute to the diversification of cancer's forces. In order to design more effective therapies that would target this ever-changing landscape, we need to learn more about the two elusive variables that shape the tumor ecosystem: the space-how could we exploit the organization of tumor microenvironment? and the time-how could we predict the changes in heterogeneous tumors?

Indexed as

Epigenesis, GeneticGenetic HeterogeneityMutationGenes, NeoplasmHumansNeoplasmsTumor Microenvironment

Identifiers

PMID31784650
PMCPMC7374939
OpenAlexW2989830005

What OpenQuestion holds

Textmetadata
LicenceTDM
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.