Evidence map›Paper›PMID 29467928›Full record

ArticleOncotarget2018

Inferring modes of evolution from colorectal cancer with residual polyp of origin.

Minsoo Kim, Brooke R Druliner, Nikolaos Vasmatzis, Taejeong Bae, Nicholas Chia, Alexej Abyzov, Lisa A Boardman

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research.Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence · 2020
    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

7 authors at 3 institutions in 1 country.

Minsoo KimProgram in Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN 55455, USA.
Brooke R DrulinerDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, USA.
Nikolaos VasmatzisDepartment of Health Sciences Research, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Taejeong BaeDepartment of Health Sciences Research, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Nicholas ChiaDepartment of Health Sciences Research, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Alexej AbyzovProgram in Bioinformatics and Computational Biology, University of Minnesota, Minneapolis, MN 55455, USA.
Lisa A BoardmanDivision of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN 55905, USA.
Mayo Clinic · USMayo Clinic in Arizona · USUniversity of Minnesota · US

Funding

PILOT AND FEASIBILTY PROGRAMP30DK084567 · NIDDK · MAYO CLINIC ROCHESTER · PI GREGORY J. GORES · 2009 to 2026
$22.2M
Time lapse to cancer: defining transition from polyp to colorectal cancer (PQ14)R01CA170357 · NCI · MAYO CLINIC ROCHESTER · PI BOARDMAN, LISA ALLYN · 2012 to 2016
$2.5M
Microbial Metabolic Toxicity Drives Colon CancerR01CA179243 · NCI · MAYO CLINIC ROCHESTER · PI CHIA, NICHOLAS · 2014 to 2018
$2.0M
NCI NIH HHS R01 CA170357NCI NIH HHS R01 CA179243NIDDK NIH HHS P30 DK084567
6 · The paper itself

Abstract

Besides the classical evolutionary model of colorectal cancer (CRC) defined by the stepwise accumulation of mutations in which normal epithelium transforms through an intermediary polyp stage to cancer, a few studies have proposed alternative modes of evolution (MOE): early eruptive subclonal expansion, branching of the subclones in parallel evolution, and neutral evolution. However, frequencies of MOEs and their connection to mutational characteristics of cancer remain elusive. In this study, we analyzed patterns of somatic single nucleotide variations (SNVs) and copy number aberrations (CNAs) in CRC with residual polyp of origin from 13 patients in order to determine this relationship. For each MOE we defined an expected pattern with characteristic features of allele frequency distributions for SNVs in cancers and their matching adenomas. From these distinct patterns, we then assigned an MOE to each CRC case and found that stepwise progression was the most common (70% of cases). We found that CRC with the same MOE may exhibit different mutational spectra, suggesting that different mutational mechanisms can result in the same MOE. Inversely, cancers with different MOEs can have the same mutational spectrum, suggesting that the same mutational mechanism can lead to different MOEs. The types of somatic substitutions, distribution of CNAs across genome, and mutated pathways did not correlate with MOEs. As this could be due to small sample size, these relations warrant further investigation. Our study paves the way to connect MOE with clinical and mutational characteristics not only in CRC but also to neoplastic transformation in other cancers.

Indexed as

adenomatous polypcancer evolutioncarcinogenesiscolorectal cancermutation

Identifiers

PMID29467928
PMCPMC5805514
OpenAlexW2775933724

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.