Evidence map›Paper›PMID 38563016›Full record

ArticlePeerJ2024

Expression profiles and gene set enrichment analysis of the transcriptomes from the cancer tissue, white adipose tissue and paracancer tissue with colorectal cancer.

Xiufeng Zhang, Rui Zhu, Ye Jiao, Halizere Simayi, Jialing He, Zhong Shen, Houdong Wang, Jun He, Suzhan Zhang, Fei Yang

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Xiufeng Zhang *Department of Colorectal Surgery and Oncology (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine; Zhejiang Provincial Clinical Research Center, Cancer Center of Zhejiang University, Hangzhou, Zhejiang, China.
Rui Zhu *Affiliated XiaoShan Hospital, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Ye JiaoChronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China.
Halizere SimayiChronic Disease Research Institute, The Children's Hospital, and National Clinical Research Center for Child Health, School of Public Health, Zhejiang University, Hangzhou, Zhejiang, China.
Jialing HeDepartment of Colorectal Surgery, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Zhong ShenDepartment of Colorectal Surgery, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Houdong WangDepartment of Colorectal Surgery, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Jun HeDepartment of Colorectal Surgery, Affiliated Hangzhou Dermatology Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Suzhan ZhangDepartment of Colorectal Surgery and Oncology (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education), The Second Affiliated Hospital, Zhejiang University School of Medicine; Zhejiang Provincial Clinical Research Center, Cancer Center of Zhejiang University, Hangzhou, Zhejiang, China.
Fei YangDepartment of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China.
Zhejiang University · CNChildren's Hospital of Zhejiang University · CNAffiliated Hospital of Hangzhou Normal University · CN

Funding

National Natural Science FoundationPre-research Foundation of Zhejiang UniversityXiufeng Zhang; High Sci-Tech Development Fund of Zhejiang UniversityZhong Shen; the Pre-research Foundation of Zhejiang University
6 · The paper itself

Abstract

Background: Colorectal cancer (CRC) is one of the most common cancers worldwide and is related to diet and obesity. Currently, crosstalk between lipid metabolism and CRC has been reported; however, the specific mechanism is not yet understood. In this study, we screened differentially expressed long non-coding RNAs (lncRNAs) and mRNAs from primary cancer, paracancer, and white adipose tissue of CRC patients. We screened and analyzed the genes differentially expressed between primary and paracancer tissue and between paracancer and white adipose tissue but not between primary and white adipose tissue. According to the results of the biological analysis, we speculated a lncRNA (MIR503HG) that may be involved in the crosstalk between CRC and lipid metabolism through exosome delivery. Methods: We screened differentially expressed long non-coding RNAs (lncRNAs) and mRNAs from primary cancer, paracancer, and white adipose tissue of CRC patients. We screened and analyzed the genes differentially expressed between primary and paracancer tissue and between paracancer and white adipose tissue but not between primary and white adipose tissue. Results: We speculated a lncRNA (MIR503HG) that may be involved in the crosstalk between CRC and lipid metabolism through exosome delivery. Conclusions: In this study, the findings raise the possibility of crosstalk between lipid metabolism and CRC through the exosomal delivery of lncRNAs.

Indexed as

Colorectal NeoplasmsRNA, Long NoncodingAdipose Tissue, WhiteGene Expression ProfilingHumansRNA, MessengerTranscriptomeRNA, Long NoncodingRNA, MessengerCRClncRNAPCTTranscriptomesWAT

Identifiers

PMID38563016
PMCPMC10984182
OpenAlexW4393316944

What OpenQuestion holds

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LicenceCC BY
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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.