Evidence map›Paper›PMID 36874250›Full record

ArticleJournal of hepatocellular carcinoma2023

Exploring Prognosis, Tumor Microenvironment and Tumor Immune Infiltration in Hepatocellular Carcinoma Based on ATF/CREB Transcription Factor Family Gene-Related Model.

Honghong Shen, Xianhua Gu, Huiyuan Li, Mingyue Tang, Xinwei Li, Yue Zhang, Fang Su, Zishu Wang

Open access · goldAbstract read
In one paragraph

Article in Journal of hepatocellular carcinoma, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

4 citing papers in PubMed, 12 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

8 authors at 1 institution in 1 country.

Honghong Shen *Department of Medical Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China.ORCID 0000-0002-8412-331X
Xianhua Gu *Department of Gynecology Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China.ORCID 0000-0003-1164-0313
Huiyuan LiDepartment of Medical Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China.
Mingyue TangDepartment of Medical Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China.ORCID 0000-0003-1605-4874
Xinwei LiDepartment of Medical Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China.ORCID 0000-0001-8154-1201
Yue ZhangDepartment of Medical Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China.
Fang SuDepartment of Medical Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China.ORCID 0000-0002-4902-5191
Zishu WangDepartment of Medical Oncology, First Affiliated Hospital of Bengbu Medical College, Bengbu, People's Republic of China.ORCID 0000-0002-1625-2195
First Affiliated Hospital of Bengbu Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hepatocellular carcinoma (HCC) is the most common form of primary liver cancer. It is the fourth leading cause of cancer-related death worldwide. Deregulation of the ATF/CREB family is associated with the progression of metabolic homeostasis and cancer. Because the liver plays a central role in metabolic homeostasis, it is critical to assess the predictive value of the ATF/CREB family in the diagnosis and prognosis of HCC. Methods: Using data from The Cancer Genome Atlas (TCGA), this research evaluated the expression, copy number variations, and frequency of somatic mutations of 21 genes in the ATF/CREB family in HCC. A prognostic model based on the ATF/CREB gene family was developed via Lasso and Cox regression analyses, with the TCGA cohort serving as the training dataset and the International Cancer Genome Consortium (ICGC) cohort serving as the validation set. Kaplan-Meier and receiver operating characteristic analyses verified the accuracy of the prognostic model. Furthermore, the association among the prognostic model, immune checkpoints, and immune cells was examined. Results: High-risk patients exhibited an unfavorable outcome as opposed to those in the low-risk category. Multivariate Cox analysis revealed that the risk score calculated based on the prognostic model was an independent prognostic factor for HCC. Analysis of immune mechanisms revealed that the risk score had a positive link to the expression of immune checkpoints, particularly CD274, PDCD1, LAG3, and CTLA4. Differences in immune cells and immune-associated roles were found between the high- and low-risk patients, as determined by single-sample gene set enrichment analysis. The core genes ATF1, CREB1, and CREB3 in the prognostic model were shown to be upregulated in HCC tissues as opposed to adjoining normal tissues, and the 10-year overall survival (OS) rate was worse among patients with elevated expression levels of ATF1, CREB1, and CREB3. Elevated expression levels of ATF1, CREB1, and CREB3 in HCC tissues were confirmed by qRT-PCR and immunohistochemistry studies. Conclusion: According to the results of our training set and test set, the risk model based on the six ATF/CREB gene signatures predicting prognosis has certain predictive accuracy in predicting the survival of HCC patients. This study provides novel insights into the individualized treatment of patients with HCC.

Indexed as

ATF/CREB transcription factorshepatocellular carcinomaimmune checkpointsnomogramprognostic model

Identifiers

PMID36874250
PMCPMC9983578
OpenAlexW4322505235

What OpenQuestion holds

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LicenceCC BY-NC
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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.