Evidence map›Paper›PMID 34364910›Full record

ArticleProgress in biophysics and molecular biology2021

The somatic molecular evolution of cancer: Mutation, selection, and epistasis.

Krishna Dasari, Jason A Somarelli, Sudhir Kumar, Jeffrey P Townsend

Open access · hybridAbstract read
In one paragraph

Article in Progress in biophysics and molecular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Inference and visualization of complex genotype-phenotype maps withbioRxiv : the preprint server for biology · 2025
    Article
  4. Article
  5. Article
  6. Cell-cell fusion in cancer: The next cancer hallmark?The international journal of biochemistry & cell biology · 2024
    Review
  7. Signaling, cancer cell plasticity, and intratumor heterogeneity.Cell communication and signaling : CCS · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Cancer Risk and Mutational Patterns Following Organ Transplantation.Frontiers in cell and developmental biology · 2022
    Review
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

4 authors at 4 institutions in 1 country.

Krishna DasariYale College, New Haven, CT, USA.
Jason A SomarelliDepartment of Medicine, Duke University Medical Center, USA.
Sudhir KumarInstitute for Genomics and Evolutionary Medicine, and Department of Biology, Temple University, Philadelphia, PA, 19122, USA.
Jeffrey P TownsendYale College, New Haven, CT, USA; Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA; Yale Cancer Center, Yale University, New Haven, CT, USA; Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT, USA; Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA. Electronic address: jeffrey.townsend@yale.edu.
Duke Medical Center · USTemple University · USYale Cancer Center · USYale University · US

Funding

Yale Head and Neck Cancer SPORE: Overcoming Treatment Resistance in Head and Neck CancerP50DE030707 · NIDCR · YALE UNIVERSITY · PI BURTNESS, BARBARA · 2020 to 2024
$11.8M
Bioinformatics of metastatic migration historiesR01LM013385 · NLM · TEMPLE UNIV OF THE COMMONWEALTH · PI KUMAR, SUDHIR · 2020 to 2023
$1.4M
NIDCR NIH HHS P50 DE030707NLM NIH HHS R01 LM013385
6 · The paper itself

Abstract

Cancer progression has been attributed to somatic changes in single-nucleotide variants, copy-number aberrations, loss of heterozygosity, chromosomal instability, epistatic interactions, and the tumor microenvironment. It is not entirely clear which of these changes are essential and which are ancillary to cancer. The dynamic nature of cancer evolution in a patient can be illuminated using several concepts and tools from classical evolutionary biology. Neutral mutation rates in cancer cells are calculable from genomic data such as synonymous mutations, and selective pressures are calculable from rates of fixation occurring beyond the expectation by neutral mutation and drift. However, these cancer effect sizes of mutations are complicated by epistatic interactions that can determine the likely sequence of gene mutations. In turn, longitudinal phylogenetic analyses of somatic cancer progression offer an opportunity to identify key moments in cancer evolution, relating the timing of driver mutations to corresponding landmarks in the clinical timeline. These analyses reveal temporal aspects of genetic and phenotypic change during tumorigenesis and across clinical timescales. Using a related framework, clonal deconvolution, physical locations of clones, and their phylogenetic relations can be used to infer tumor migration histories. Additionally, genetic interactions with the tumor microenvironment can be analyzed with longstanding approaches applied to organismal genotype-by-environment interactions. Fitness landscapes for cancer evolution relating to genotype, phenotype, and environment could enable more accurate, personalized therapeutic strategies. An understanding of the trajectories underlying the evolution of neoplasms, primary, and metastatic tumors promises fundamental advances toward accurate and personalized predictions of therapeutic response.

Indexed as

Epistasis, GeneticNeoplasmsEvolution, MolecularHumansModels, GeneticMutationPhylogenyTumor MicroenvironmentCancerEpistasisFitness landscapesMetastasisMolecular evolutionTumor microenvironment

Identifiers

PMID34364910
PMCPMC8819680
OpenAlexW3193184577

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.