Evidence map›Paper›PMID 34018555›Full record

ArticleGigaScience2021

MesKit: a tool kit for dissecting cancer evolution of multi-region tumor biopsies through somatic alterations.

Mengni Liu, Jianyu Chen, Xin Wang, Chengwei Wang, Xiaolong Zhang, Yubin Xie, Zhixiang Zuo, Jian Ren, Qi Zhao

Open access · goldAbstract read
In one paragraph

Article in GigaScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

21 citing papers in PubMed, 28 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Mengni LiuSchool of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China.
Jianyu ChenSchool of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China.
Xin WangSchool of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China.
Chengwei WangSchool of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China.
Xiaolong ZhangState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 E Dongfeng Road, Guangzhou, Guangdong 510060, China.
Yubin XieSchool of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China.
Zhixiang ZuoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 E Dongfeng Road, Guangzhou, Guangdong 510060, China.ORCID 0000-0002-2492-2689
Jian RenSchool of Life Sciences, Sun Yat-sen University, Guangzhou, Guangdong 510275, China.ORCID 0000-0002-4161-1292
Qi ZhaoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, 651 E Dongfeng Road, Guangzhou, Guangdong 510060, China.ORCID 0000-0002-8683-6145
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMulti-region sequencing (MRS) has been widely used to analyze intra-tumor heterogeneity (ITH) and cancer evolution. However, comprehensive analysis of mutational data from MRS is still challenging, necessitating complicated integration of a plethora of computational and statistical approaches.

findingsHere, we present MesKit, an R/Bioconductor package that can assist in characterizing genetic ITH and tracing the evolutionary history of tumors based on somatic alterations detected by MRS. MesKit provides a wide range of analysis and visualization modules, including ITH evaluation, metastatic route inference, and mutational signature identification. In addition, MesKit implements an auto-layout algorithm to generate phylogenetic trees based on somatic mutations. The application of MesKit for 2 reported MRS datasets of hepatocellular carcinoma and colorectal cancer identified known heterogeneous features and evolutionary patterns, together with potential driver events during cancer evolution.

conclusionsIn summary, MesKit is useful for interpreting ITH and tracing evolutionary trajectory based on MRS data. MesKit is implemented in R and available at https://bioconductor.org/packages/MesKit under the GPL v3 license.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsBiopsyHumansMutationPhylogenyintra-tumor heterogeneitymetastatic routesmulti-region sequencingphylogenetic treesomatic alterations

Identifiers

PMID34018555
PMCPMC8138830
OpenAlexW3160782003

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.