Evidence map›Paper›PMID 38970307›Full record

ArticleCancer medicine2024

Impact of genomic and epigenomic alterations of multigene on a multicancer pedigree.

Jingyu Gao, Yongzhang Wu, Jieming Yu, Yinbin Qiu, Tiantian Yi, Chaochao Luo, Junxiao Zhang, Gary Lu, Xu Li, Fu Xiong and 2 more

Abstract read
In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

12 authors.

Jingyu GaoDepartment of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yongzhang WuGuangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, China.ORCID 0009-0003-7664-542X
Jieming YuGuangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, China.
Yinbin QiuGuangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, China.ORCID 0000-0002-5361-4781
Tiantian YiDepartment of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Chaochao LuoGuangdong Provincial Key Laboratory of Single Cell Technology and Application, Southern Medical University, Guangzhou, China.
Junxiao ZhangSequMed Institute of Biomedical Sciences, Guangzhou, China.
Gary LuDepartment of Fetal Medicine and Prenatal Diagnosis, Zhujiang Hospital, Southern Medical University, Guangzhou, China.
Xu LiKaiser Permanente Regional Genetics Laboratory, San Jose Medical Center, San Jose, California, USA.
Fu XiongDepartment of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China.
Xuedong WuDepartment of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xinghua PanDepartment of Pediatrics, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Funding

Guangdong Province Basic and Applied Basic Research Foundation 2024A1515012181National Natural Science Foundation of China 32071452National Natural Science Foundation of China 81770173Open Fund Programs of Shenzhen Bar Laboratory SZBL2020090501003
6 · The paper itself

Abstract

backgroundGermline mutations have been identified in a small number of hereditary cancers, but the genetic predisposition for many familial cancers remains to be elucidated.

methodsThis study identified a Chinese pedigree that presented different cancers (breast cancer, BRCA; adenocarcinoma of the esophagogastric junction, AEG; and B-cell acute lymphoblastic leukemia, B-ALL) in each of the three generations. Whole-genome sequencing and whole-exome sequencing were performed on peripheral blood or bone marrow and cancer biopsy samples. Whole-genome bisulfite sequencing was conducted on the monozygotic twin brothers, one of whom developed B-ALL.

resultsAccording to the ACMG guidelines, bioinformatic analysis of the genome sequencing revealed 20 germline mutations, particularly mutations in the DNAH11 (c.9463G > A) and CFH (c.2314G > A) genes that were documented in the COSMIC database and validated by Sanger sequencing. Forty-one common somatic mutated genes were identified in the cancer samples, displaying the same type of single nucleotide substitution Signature 5. Meanwhile, hypomethylation of PLEK2, MRAS, and RXRA as well as hypermethylation of CpG island associated with WT1 was shown in the twin with B-ALL.

conclusionsThese findings reveal genomic alterations in a pedigree with multiple cancers. Mutations found in the DNAH11, CFH genes, and other genes predispose to malignancies in this family. Dysregulated methylation of WT1, PLEK2, MRAS, and RXRA in the twin with B-ALL increases cancer susceptibility. The similarity of the somatic genetic changes among the three cancers indicates a hereditary impact on the pedigree. These familial cancers with germline and somatic mutations, as well as epigenomic alterations, represent a common molecular basis for many multiple cancer pedigrees.

Indexed as

DNA MethylationExome SequencingGenetic Predisposition to DiseaseGerm-Line MutationPedigreeAdultAxonemal DyneinsCpG IslandsEpigenesis, GeneticEpigenomicsFemaleGenomicsHumansMaleMiddle AgedWhole Genome SequencingAxonemal DyneinsCFHDNAH11DNA methylationfamilial cancer syndromesgermline mutationssomatic mutationwhole‐exome sequencingwhole‐genome sequencingWT1

Identifiers

PMID38970307
PMCPMC11226725

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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.