Evidence map›Paper›PMID 37589009›Full record

ArticleOpen life sciences2023

Hepatocellular carcinoma cell differentiation trajectory predicts immunotherapy, potential therapeutic drugs, and prognosis of patients.

Jun Qiu, Haoyun Wang, Xin Lv, Lipeng Mao, Junyan Huang, Tao Hao, Junliang Li, Shuo Qi, Guodong Chen, Haiping Jiang

Open access · goldAbstract read
In one paragraph

Article in Open life sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 5 institutions in 1 country.

Jun QiuDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong Province, China.
Haoyun WangDepartment of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou 510630, Guangdong Province, China.
Xin LvDepartment of Clinical Nutrition, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong Province, China.
Lipeng MaoDepartment of Microbiology and Immunology, Institute of Geriatric Immunology, School of Medicine, Jinan University, Guangzhou 510630, Guangdong Province, China.
Junyan HuangDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong Province, China.
Tao HaoDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong Province, China.
Junliang LiDepartment of Neurosurgery, Guangzhou Women and Children's Medical Center, Guangzhou 510630, Guangdong Province, China.
Shuo QiDepartment of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of University of South China, Hengyang 421001, Hunan Province, China.
Guodong ChenDepartment of Hepatopancreatobiliary Surgery, The First Affiliated Hospital of University of South China, Hengyang 421001, Hunan Province, China.
Haiping JiangDepartment of General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou 510630, Guangdong Province, China.
First Affiliated Hospital of Jinan University · CNJinan University · CNUniversity of South China · CNFirst Affiliated Hospital of University of South China · CNGuangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to explore a novel classification and investigate the clinical significance of hepatocellular carcinoma (HCC) cells. We analyzed integrated single-cell RNA sequencing and bulk RNA-seq data obtained from HCC samples. Cell trajectory analysis divided HCC cells into three subgroups with different differentiation states: state 1 was closely related to phosphoric ester hydrolase activity, state 2 was involved in eukaryotic initiation factor 4E binding, translation regulator activity and ribosome, and state 3 was associated with oxidoreductase activity and metabolism. Three molecular classes based on HCC differentiation-related genes (HDRGs) from HCC samples were identified, which revealed immune checkpoint gene expression and overall survival (OS) of HCC patients. Moreover, a prognostic risk scoring (RS) model was generated based on eight HDRGs, and the results showed that the OS of the high-risk group was worse than that of the low-risk group. Further, potential therapeutic drugs were screened out based on eight prognostic RS-HDRGs. This study highlights the importance of HCC cell differentiation in immunotherapy, clinical prognosis, and potential molecular-targeted drugs for HCC patients, and proposes a direction for the development of individualized treatments for HCC.

Indexed as

cell differentiation trajectoryhepatocellular carcinomaimmune checkpointmolecular-targeted drugsoverall survival

Identifiers

PMID37589009
PMCPMC10426728
OpenAlexW4385672482

What Socratic 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 Socratic graph.