Evidence map›Paper›PMID 29760052›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2018

Spatial mutation patterns as markers of early colorectal tumor cell mobility.

Marc D Ryser, Byung-Hoon Min, Kimberly D Siegmund, Darryl Shibata

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Evolutionary paths towards metastasis.Nature reviews. Cancer · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Mechanisms of metastatic colorectal cancer.Nature reviews. Gastroenterology & hepatology · 2024
    Review
  7. Article
  8. Article
  9. Spatial interactions modulate tumor growth and immune infiltration.bioRxiv : the preprint server for biology · 2024
    Article
  10. Tumour Growth Mechanisms Determine Effectiveness of Adaptive Therapy in Glandular Tumours.Interdisciplinary sciences, computational life sciences · 2024
    Article
  11. Article
  12. Review
  13. Mutation divergence over space in tumour expansion.Journal of the Royal Society, Interface · 2023
    Article
  14. Article
  15. Impact of crowding on the diversity of expanding populations.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

4 authors.

Marc D RyserDepartment of Surgery, Division of Advanced Oncologic and GI Surgery, Duke University Medical Center, Durham, NC 27710.ORCID 0000-0002-4990-0849
Byung-Hoon MinDepartment of Pathology, University of Southern California Keck School of Medicine, Los Angeles, CA 90033.
Kimberly D SiegmundDepartment of Preventive Medicine, University of Southern California Keck School of Medicine, Los Angeles, CA 90033.ORCID 0000-0001-7599-9726
Darryl ShibataDepartment of Pathology, University of Southern California Keck School of Medicine, Los Angeles, CA 90033; dshibata@usc.edu.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
Statistical Methods for Integrative Genomics in CancerP01CA196569 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI William JAMES GAUDERMAN, KIMBERLY D SIEGMUND · 2016 to 2026
$25.5M
"Born to be Bad": Is Abnormal Cell Mobility Already Present At Initiation?R21CA185016 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI SHIBATA, DARRYL K · 2014 to 2015
$394k
The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer RiskK99CA207872 · NCI · DUKE UNIVERSITY · PI RYSER, MARC · 2016 to 2017
$318k
NCI NIH HHS K99 CA207872NCI NIH HHS P01 CA196569NCI NIH HHS P30 CA014089NCI NIH HHS R21 CA185016
6 · The paper itself

Abstract

A growing body of evidence suggests that a subset of human cancers grows as single clonal expansions. In such a nearly neutral evolution scenario, it is possible to infer the early ancestral tree of a full-grown tumor. We hypothesized that early tree reconstruction can provide insights into the mobility phenotypes of tumor cells during their first few cell divisions. We explored this hypothesis by means of a computational multiscale model of tumor expansion incorporating the glandular structure of colorectal tumors. After calibrating the model to multiregional and single gland data from 19 human colorectal tumors using approximate Bayesian computation, we examined the role of early tumor cell mobility in shaping the private mutation patterns of the final tumor. The simulations showed that early cell mixing in the first tumor gland can result in side-variegated patterns where the same private mutations could be detected on opposite tumor sides. In contrast, absence of early mixing led to nonvariegated, sectional mutation patterns. These results suggest that the patterns of detectable private mutations in colorectal tumors may be a marker of early cell movement and hence the invasive and metastatic potential of the tumor at the start of the growth. In alignment with our hypothesis, we found evidence of early abnormal cell movement in 9 of 15 invasive colorectal carcinomas ("born to be bad"), but in none of 4 benign adenomas. If validated with a larger dataset, the private mutation patterns may be used for outcome prediction among screen-detected lesions with unknown invasive potential.

Indexed as

Biomarkers, TumorColorectal NeoplasmsGenetic HeterogeneityHumansMutationNeoplasm InvasivenessBiomarkers, Tumorcancer modelingcellular mobilityintratumor heterogeneitytumor evolution

Identifiers

PMID29760052
PMCPMC5984490

What OpenQuestion holds

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Registered trials

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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.