Evidence map›Paper›PMID 34850073›Full record

ArticleMolecular biology and evolution2022

Evolution under Spatially Heterogeneous Selection in Solid Tumors.

Guanghao Li, Zuyu Yang, Dafei Wu, Sixue Liu, Xuening Li, Tao Li, Yawei Li, Liji Liang, Weilong Zou, Chung-I Wu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
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

12 authors at 5 institutions in 3 countries.

Guanghao LiState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.ORCID 0000-0001-6955-5571
Zuyu YangChina National Center for Bioinformation, Beijing, China.
Dafei WuChina National Center for Bioinformation, Beijing, China.
Sixue LiuChina National Center for Bioinformation, Beijing, China.
Xuening LiChina National Center for Bioinformation, Beijing, China.
Tao LiChina National Center for Bioinformation, Beijing, China.
Yawei LiChina National Center for Bioinformation, Beijing, China.
Liji LiangChina National Center for Bioinformation, Beijing, China.
Weilong ZouSurgery of Liver Transplant, The Third Medical Center of Chinese PLA General Hospital, Beijing, China.
Chung-I WuChina National Center for Bioinformation, Beijing, China.
Hurng-Yi WangGraduate Institute of Clinical Medicine, National Taiwan University, Taipei, Taiwan.
Xuemei LuState Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
Chinese Academy of Sciences · CNKunming Institute of Zoology · CNChinese PLA General Hospital · CNNational Taiwan University · TWSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial genetic and phenotypic diversity within solid tumors has been well documented. Nevertheless, how this heterogeneity affects temporal dynamics of tumorigenesis has not been rigorously examined because solid tumors do not evolve as the standard population genetic model due to the spatial constraint. We therefore, propose a neutral spatial (NS) model whereby the mutation accumulation increases toward the periphery; the genealogical relationship is spatially determined and the selection efficacy is blunted (due to kin competition). In this model, neutral mutations are accrued and spatially distributed in manners different from those of advantageous mutations. Importantly, the distinctions could be blurred in the conventional model. To test the NS model, we performed a three-dimensional multiple microsampling of two hepatocellular carcinomas. Whole-genome sequencing (WGS) revealed a 2-fold increase in mutations going from the center to the periphery. The operation of natural selection can then be tested by examining the spatially determined clonal relationships and the clonal sizes. Due to limited migration, only the expansion of highly advantageous clones can sweep through a large part of the tumor to reveal the selective advantages. Hence, even multiregional sampling can only reveal a fraction of fitness differences in solid tumors. Our results suggest that the NS patterns are crucial for testing the influence of natural selection during tumorigenesis, especially for small solid tumors.

Indexed as

NeoplasmsCarcinogenesisHumansMutationSelection, Geneticcancer evolutionintra-tumoral heterogeneitynatural selectionphenotypic diversitytumor spatial growth model

Identifiers

PMID34850073
PMCPMC8788224
OpenAlexW3214927777

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.