Evidence map›Paper›PMID 34155346›Full record

ArticleOncogene2021

Whole-transcriptome and proteome analyses identify key differentially expressed mRNAs, miRNAs, lncRNAs and circRNAs associated with HCC.

Fang Xu, Liya Jiang, Qianwei Zhao, Zhibiao Zhang, Yixian Liu, Shuangshuang Yang, Mengdan Yu, Huiping Chen, Jianying Zhang, Jintao Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 26 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

10 authors at 1 institution in 1 country.

Fang XuHenan Institute of Medical and Pharmaceutical Sciences & BGI College, Zhengzhou University, Zhengzhou, China.ORCID http://orcid.org/0000-0002-5722-0798
Liya JiangHenan Institute of Medical and Pharmaceutical Sciences & BGI College, Zhengzhou University, Zhengzhou, China.
Qianwei ZhaoHenan Institute of Medical and Pharmaceutical Sciences & BGI College, Zhengzhou University, Zhengzhou, China.ORCID http://orcid.org/0000-0001-6350-5573
Zhibiao ZhangSchool of Life Sciences, Zhengzhou University, Zhengzhou, China.
Yixian LiuHenan Institute of Medical and Pharmaceutical Sciences & BGI College, Zhengzhou University, Zhengzhou, China.
Shuangshuang YangHenan Institute of Medical and Pharmaceutical Sciences & BGI College, Zhengzhou University, Zhengzhou, China.
Mengdan YuSchool of Basic Medical Sciences, Zhengzhou University, Zhengzhou, China.
Huiping ChenHenan Institute of Medical and Pharmaceutical Sciences & BGI College, Zhengzhou University, Zhengzhou, China.
Jianying ZhangHenan Institute of Medical and Pharmaceutical Sciences & BGI College, Zhengzhou University, Zhengzhou, China. jianyingzhang@hotmail.com.ORCID http://orcid.org/0000-0003-2938-9526
Jintao ZhangHenan Institute of Medical and Pharmaceutical Sciences & BGI College, Zhengzhou University, Zhengzhou, China. zhangjt_66@126.com.ORCID http://orcid.org/0000-0002-3683-5822
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is the most common subtype of primary liver cancer and one of the leading causes of cancer-related death worldwide. To gain more insights into the transcriptomic landscape and molecular mechanism of HCC, we performed TMT-labelled tandem mass spectrometry (n = 4) and whole-transcriptome sequencing (n = 3) based on HCC tumour (T) and adjacent normal (N) tissues from seven HCC patients. To comprehensively evaluate the gene-regulatory circuits in HCC, differential expression and enrichment analyses were performed on the differentially expressed proteins (DEPs), genes (DEGs), miRNAs (555), lncRNAs (29) and circRNAs (895). A total of 977 proteins and 243 genes were found to be differentially expressed in HCC tumours compared with adjacent normal tissues. HCC data from The Cancer Genome Atlas were used to validate the results. Combined with the results above, 56 DEP-DEGs with common changes in relative quantity were identified. Functional pathway analysis showed that the DEP-DEGs were mainly enriched in the spliceosome and various metabolic processes. Bioinformatics analysis showed that hsa-miR-1266-5p, hsa-miR-128-1-5p, hsa-miR-139-5p, hsa-miR-34b-3p and hsa-miR-570-3p were involved in the regulation of the hub genes mentioned above. The crucial coexpression (lncRNA-mRNA, circRNA-mRNA) and competing endogenous RNA interaction axes showed the possible functions of the lncRNAs and circRNAs. We explored potential cancer biomarkers by combining proteomic and transcriptomic studies. Our study provides a valuable resource for understanding regulatory mechanisms at the RNA level and may ultimately further assist in the development of diagnostic and/or therapeutic targets for HCC.

Indexed as

Carcinoma, HepatocellularGene Expression ProfilingGene Expression Regulation, NeoplasticLiver NeoplasmsMicroRNAsRNA, CircularRNA, Long NoncodingRNA, MessengerBiomarkers, TumorComputational BiologyFemaleGene Regulatory NetworksHumansMaleProteomeProteomicsBiomarkers, TumorMicroRNAsProteomeRNA, CircularRNA, Long NoncodingRNA, Messenger

Identifiers

PMID34155346
OpenAlexW3176415390

What OpenQuestion holds

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Registered trials

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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.