Evidence map›Paper›PMID 38824541›Full record

ArticleBMC cancer2024

Transcriptomic and genomic characteristics of intrahepatic metastases of primary liver cancer.

Weilong Zou, Zhanjie Fang, Yu Feng, Shangjin Gong, Ziqiang Li, Meng Li, Yong Sun, Xiuyan Ruan, Xiangdong Fang, Hongzhu Qu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2024. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Weilong Zou *Department of Hepatobiliary Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Zhanjie Fang *CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
Yu FengDepartment of Hepatobiliary Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Shangjin GongCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
Ziqiang LiDepartment of Hepatobiliary Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Meng LiCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
Yong SunDepartment of Hepatobiliary Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China.
Xiuyan RuanCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China.
Xiangdong FangCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China. fangxd@big.ac.cn.
Hongzhu QuCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences/China National Center for Bioinformation, Beijing, China. quhongzhu@big.ac.cn.
Haiyang LiDepartment of Hepatobiliary Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China. lihaiyang@gmc.edu.cn.

Funding

Doctoral Research Foundation Project of the Affiliated Hospital of Guizhou Medical University gyfybsky-2022-1National Key Research and Development Program of China 2020YFC2003405
6 · The paper itself

Abstract

backgroundPatients with primary multifocal hepatocellular carcinoma (HCC) have a poor prognosis and often experience a high rate of treatment failure. Multifocal HCC is mainly caused by intrahepatic metastasis (IM), and though portal vein tumor thrombosis (PVTT) is considered a hallmark of IM, the molecular mechanism by which primary HCC cells invade the portal veins remains unclear. Therefore, it is necessary to recognize the early signs of metastasis of HCC to arrange better treatment for patients.

resultsTo determine the differential molecular features between primary HCC with and without phenotype of metastasis, we used the CIBERSORTx software to deconvolute cell types from bulk RNA-Seq based on a single-cell transcriptomic dataset. According to the relative abundance of tumorigenic and metastatic hepatoma cells, VEGFA

conclusionsThe HCC cohort can be well-typed and prognosis predicted according to tumor microenvironment components. Primary hepatocellular carcinoma may have obtained corresponding molecular features before metastasis occurred.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsTranscriptomeTumor MicroenvironmentFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenomicsHumansKiller Cells, NaturalMalePrognosisCIBERSORTxHepatocellular carcinoma (HCC)MetastaticPortal vein thrombusTumor microenvironment

Identifiers

PMID38824541
PMCPMC11144329

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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.