Evidence map›Paper›PMID 36647032›Full record

ArticleBMC cancer2023

Construction and verification of a novel circadian clock related long non-coding RNA model and prediction of treatment for survival prognosis in patients with hepatocellular carcinoma.

Zhen Zhang, Wenhui Gao, Xiaoning Tan, Tianhao Deng, Wanshuang Zhou, Huiying Jian, Puhua Zeng

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Hepatocellular Carcinoma Around the Clock.Current oncology (Toronto, Ont.) · 2026
    Review
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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

7 authors at 2 institutions in 1 country.

Zhen ZhangDepartment of Oncology, Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, 410006, Changsha, P.R. China.
Wenhui GaoSchool of Chinese Medicine, Hunan University of Chinese Medicine, 410208, Changsha, P.R. China.
Xiaoning TanDepartment of Oncology, Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, 410006, Changsha, P.R. China.
Tianhao DengDepartment of Oncology, Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, 410006, Changsha, P.R. China.
Wanshuang ZhouDepartment of Oncology, Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, 410006, Changsha, P.R. China.
Huiying JianSchool of Chinese Medicine, Hunan University of Chinese Medicine, 410208, Changsha, P.R. China.
Puhua ZengDepartment of Oncology, Affiliated Hospital of Hunan Academy of Traditional Chinese Medicine, 410006, Changsha, P.R. China. zph120@126.com.
Hunan Academy of Traditional Chinese Medicine · CNHunan University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Circadian clock genes are significant in the occurrence and development of HCC and long-non coding RNAs (lncRNAs) are closely related to HCC progression. In this study, we aimed to establish a prognostic risk model for HCC. Circadian clock-related lncRNAs expressed in HCC were extracted from The Cancer Genome Atlas. A nomogram was established to predict individual survival rate. Biological processes enriched for risk model transcripts were investigated by Gene Set Enrichment Analysis. Further, we evaluated the relationship between risk score and immune-checkpoint inhibitor-related gene expression level. The Genomics of Drug Sensitivity in Cancer (GDSC) database was used to assess the sensitivity of tumors in high- and low-risk score groups to different drugs. A total of 11 circadian clock-related lncRNAs were included in multi-Cox proportional hazards model analysis to establish a risk model. Univariate and multivariate Cox regression analysis showed that the risk model was an independent risk factor in HCC. The risk model was a significantly associated with the immune signature. Further GDSC analysis indicated that patients in each risk score group may be sensitive to different anti-cancer drugs. QRT-PCR analysis results showed that C012073.1, PRRT3-AS1, TMCC1-AS1, LINC01138, MKLN1-AS, KDM4A-AS1, AL031985.3, POLH-AS1, LINC01224, and AC099850.3 were more highly expressed in Huh-7 and HepG2, compared to LO2, while AC008549.1 were lower expressed. Our work established a prognostic model for HCC. Risk score analysis indicated that the model is significantly associated with modulation tumor immunity and could be used to guide more effective therapeutic strategies in the future.

Indexed as

Carcinoma, HepatocellularCircadian ClocksLiver NeoplasmsRNA, Long NoncodingHumansPrognosisRNA, Long NoncodingCircadian clockHepatocellular carcinomaImmune infiltrationlncRNARisk model

Identifiers

PMID36647032
PMCPMC9843932
OpenAlexW4316669549

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.