Evidence map›Paper›PMID 31852653›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2019

[Reconstruction of tumor clonal haplotypes based on an improved spanning algorithm].

Yu Geng, Zhongmeng Zhao, Jianye Liu

Abstract read
In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Yu GengSchool of Health Management, Jinzhou Medical University, Jinzhou 121001, China.
Zhongmeng ZhaoSchool of Computer Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Jianye LiuSchool of Computer Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo reconstruct tumor clonal haplotypes based on the third-generation sequencing data to effectively identify tumor heterogeneity.

methodsWe developed an algorithm for extracting somatic mutational event from the mixed tumor data and determining the connection weight of each somatic cell mutation site through the probability function. A reconstruction algorithm of the haplotype was designed based on the maximum spanning tree, and following the principle of inheritance between tumor clones, the connection pattern was determined at each mutation site in the clonal maximum spanning tree in a stepwise manner. The number, ratio and evolution of the sub-clones were estimated using the depth stripping method.

resultsIn the simulation experiments, we analyzed the accuracy of the algorithm based on 4 indexes, namely the coverage, read length, subclone number and somatic variant rate, and the Results demonstrated a good robustness of the algorithm. The Results of the experiments showed that the mean sub-clone haplotypes accuracy exceeded 97%, suggesting that this algorithm significantly outperformed the previous Methods.

conclusionsThe proposed method can accurately reconstruct tumor subclonal haplotypes and clarify the process of tumor clonal evolution, and can thus provide a theoretical basis for tumor heterogeneity research and assist in clinical decision-making.

Indexed as

AlgorithmsNeoplasmsClonal EvolutionHaplotypesHumansMutationclonal haplotypedepth stripping methodmaximum spanning treethird-generation sequencing datatumor heterogeneity

Identifiers

PMID31852653
PMCPMC6926082
OpenAlexW3027415982

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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.