Evidence map›Paper›PMID 33690171›Full record

ArticleAging2021

Hypoxia associated multi-omics molecular landscape of tumor tissue in patients with hepatocellular carcinoma.

Qiangnu Zhang, Lijun Qiao, Quan Liu, Xiangpan Kong, Jun Hu, Weibin Hu, Zongze Wu, Mingyue Li, Liping Liu

Open access · greenAbstract read
In one paragraph

Article in Aging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
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 5 institutions in 3 countries.

Qiangnu ZhangDepartment of Hepatobiliary and Pancreas Surgery, The Second Clinical Medical College, Jinan University, Shenzhen People's Hospital, Shenzhen 518020, Guangdong, China.
Lijun QiaoDepartment of Hepatobiliary and Pancreas Surgery, The Second Clinical Medical College, Jinan University, Shenzhen People's Hospital, Shenzhen 518020, Guangdong, China.
Quan LiuDepartment of Hepatobiliary and Pancreas Surgery, The Second Clinical Medical College, Jinan University, Shenzhen People's Hospital, Shenzhen 518020, Guangdong, China.
Xiangpan KongFaculty of Science and Engineering, University of Groningen, Groningen 9747, Netherlands.
Jun HuInstitute of Pathology, University Clinic of Heidelberg, Heidelberg 69120, Germany.
Weibin HuDepartment of Hepatobiliary and Pancreas Surgery, The Second Clinical Medical College, Jinan University, Shenzhen People's Hospital, Shenzhen 518020, Guangdong, China.
Zongze WuDepartment of Hepatobiliary and Pancreas Surgery, The Second Clinical Medical College, Jinan University, Shenzhen People's Hospital, Shenzhen 518020, Guangdong, China.
Mingyue LiDepartment of Hepatobiliary and Pancreas Surgery, The Second Clinical Medical College, Jinan University, Shenzhen People's Hospital, Shenzhen 518020, Guangdong, China.
Liping LiuDepartment of Hepatobiliary and Pancreas Surgery, The Second Clinical Medical College, Jinan University, Shenzhen People's Hospital, Shenzhen 518020, Guangdong, China.
Jinan University · CNShenZhen People’s Hospital · CNSouthern University of Science and Technology · CNHeidelberg University · DEUniversity of Groningen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was designed to update the knowledge about hypoxia-related multi-omic molecular landscape in hepatocellular carcinoma (HCC) tissues. Large-size HCC datasets from multiple centers were collected. The hypoxia exposure of tumor tissue from patients in 10 HCC cohorts was estimated using a novel HCC-specific hypoxia score system constructed in our previous study. A comprehensive bioinformatical analysis was conducted to compare hypoxia-associated multi-omic molecular features in patients with a high hypoxia score to a low hypoxia score. We found that patients with different exposure to hypoxia differed significantly in transcriptomic, genomic, epigenomic, and proteomic alterations, including differences in mRNA, microRNA (miR), and long non-coding RNA (lncRNA) expression, differences in copy number alterations (CNAs), differences in DNA methylation levels, differences in RNA alternative splicing events, and differences in protein levels. HCC survival- associated molecular events were identified. The potential correlation between molecular features related to hypoxia has also been explored, and various networks have been constructed. We revealed a particularly comprehensive hypoxia-related molecular landscape in tumor tissues that provided novel evidence and perspectives to explain the role of hypoxia in HCC. Clinically, the data obtained from the present study may enable the development of individualized treatment or management strategies for HCC patients with different levels of hypoxia exposure.

Indexed as

Alternative SplicingCarcinoma, HepatocellularDatasets as TopicDNA Copy Number VariationsDNA MethylationEpigenesis, GeneticGenomicsHumansHypoxiaLiver NeoplasmsMicroRNAsProteomicsRNA, Long NoncodingRNA, MessengerMicroRNAsRNA, Long NoncodingRNA, Messengerhepatocellular carcinomahypoxiamicroenvironmentmulti-omicsnon-coding RNA

Identifiers

PMID33690171
PMCPMC7993683
OpenAlexW3134209226

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.