Evidence map›Paper›PMID 34493740›Full record

ArticleScientific reports2021

RNA-seq profiling reveals PBMC RNA as a potential biomarker for hepatocellular carcinoma.

Zhiyi Han, Wenxing Feng, Rui Hu, Qinyu Ge, Wenfeng Ma, Wei Zhang, Shaomin Xu, Bolin Zhan, Lai Zhang, Xinfeng Sun and 1 more

Open access · goldAbstract readComparative StudyValidation Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

33 citing papers in PubMed, 40 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

11 authors at 3 institutions in 1 country.

Zhiyi HanDepartment of Liver Disease, Shenzhen Traditional Chinese Medicine Hospital, Futian District, Shenzhen, 518033, Guangdong Province, China.
Wenxing FengDepartment of Liver Disease, Shenzhen Traditional Chinese Medicine Hospital, Futian District, Shenzhen, 518033, Guangdong Province, China.
Rui HuDepartment of Liver Disease, Shenzhen Traditional Chinese Medicine Hospital, Futian District, Shenzhen, 518033, Guangdong Province, China.
Qinyu GeState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Wenfeng MaDepartment of Liver Disease, Shenzhen Traditional Chinese Medicine Hospital, Futian District, Shenzhen, 518033, Guangdong Province, China.
Wei ZhangDepartment of Liver Disease, Shenzhen Traditional Chinese Medicine Hospital, Futian District, Shenzhen, 518033, Guangdong Province, China.
Shaomin XuDepartment of Liver Disease, Shenzhen Traditional Chinese Medicine Hospital, Futian District, Shenzhen, 518033, Guangdong Province, China.
Bolin ZhanDepartment of Liver Disease, Shenzhen Traditional Chinese Medicine Hospital, Futian District, Shenzhen, 518033, Guangdong Province, China.
Lai ZhangDepartment of Liver Disease, Shenzhen Traditional Chinese Medicine Hospital, Futian District, Shenzhen, 518033, Guangdong Province, China.
Xinfeng SunDepartment of Liver Disease, Shenzhen Traditional Chinese Medicine Hospital, Futian District, Shenzhen, 518033, Guangdong Province, China. 714310278@qq.com.
Xiaozhou ZhouDepartment of Liver Disease, Shenzhen Traditional Chinese Medicine Hospital, Futian District, Shenzhen, 518033, Guangdong Province, China. zxz1006@gzucm.edu.cn.
Guangzhou University of Chinese Medicine · CNShenzhen Pingle Orthopedic Hospital · CNState Key Laboratory of Digital Medical Engineering

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is one of the most common malignant tumors and has extremely high morbidity and mortality. Although many existing studies have focused on the identification of biomarkers, little information has been uncovered regarding the PBMC RNA profile of HCC. We attempted to create a profile throughout using expression of peripheral blood mononuclear cell (PBMC) RNA using RNA-seq technology and compared the transcriptome between HCC patients and healthy controls. Seventeen patients and 17 matched healthy controls were included in this study, and PBMC RNA was sequenced from all samples. Sequencing data were analyzed using bioinformatics tools, and quantitative reverse transcription PCR (qRT-PCR) was used for selected validation of DEGs. A total of 1,578 dysregulated genes were found in the PBMC samples, including 1,334 upregulated genes and 244 downregulated genes. GO enrichment and KEGG studies revealed that HCC is closely linked to differentially expressed genes (DEGs) implicated in the immune response. Expression of 6 selected genes (SELENBP1, SLC4A1, SLC26A8, HSPA8P4, CALM1, and RPL7p24) was confirmed by qRT-PCR, and higher sensitivity and specificity were obtained by ROC analysis of the 6 genes. CALM1 was found to gradually decrease as tumors enlarged. Nearly the opposite expression modes were obtained when compared to tumor sequencing data. Immune cell populations exhibited significant differences between HCC and controls. These findings suggest a potential biomarker for the diagnosis of HCC. This study provides new perspectives for liver cancer development and possible future successful clinical diagnosis.

Indexed as

RNA-SeqBiomarkers, TumorCarcinoma, HepatocellularDNA PrimersFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyGene Regulatory NetworksHumansLeukocytes, MononuclearLiver NeoplasmsMaleReal-Time Polymerase Chain ReactionRNA, NeoplasmBiomarkers, TumorDNA PrimersRNA, Neoplasm

Identifiers

PMID34493740
PMCPMC8423838
OpenAlexW3197129726

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.