Evidence map›Paper›PMID 36330335›Full record

ArticleFrontiers in cell and developmental biology2022

Identification of lipid metabolism-associated genes as prognostic biomarkers based on the immune microenvironment in hepatocellular carcinoma.

Xiangqian Gu, Chenshan Jiang, Jianguo Zhao, Qian Qiao, Mingyu Wu, Bing Cai

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Article in Frontiers in cell and developmental biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

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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

9 citing papers in PubMed.

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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

6 authors.

Xiangqian GuDepartment of Hepatobiliary Surgery, Wuxi People's Hospital Affiliated Nanjing Medical University, Wuxi, China.
Chenshan JiangDepartment of Hepatobiliary Surgery, Wuxi People's Hospital Affiliated Nanjing Medical University, Wuxi, China.
Jianguo ZhaoDepartment of Hepatobiliary Surgery, Wuxi People's Hospital Affiliated Nanjing Medical University, Wuxi, China.
Qian QiaoDepartment of Hepatobiliary Surgery, Wuxi People's Hospital Affiliated Nanjing Medical University, Wuxi, China.
Mingyu WuDepartment of Hepatobiliary Surgery, Wuxi People's Hospital Affiliated Nanjing Medical University, Wuxi, China.
Bing CaiDepartment of Hepatobiliary Surgery, Wuxi People's Hospital Affiliated Nanjing Medical University, Wuxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid metabolism has been associated with progression of various cancers. However, the underlying mechanisms of the impact of lipid metabolism-associated genes (LMAGs) on the tumor immune microenvironment have not been well-elucidated. This study aimed to determine the effects of lipid metabolism on the progression and development of hepatocellular carcinoma (HCC). Expression profiles and clinical data of 371 and 231 patients with HCC were obtained from the TCGA and Internal Cancer Genome Consortium (ICGC) databases, respectively. Using Cox regression and LASSO regression analyses, a prognostic risk model was constructed based on the LMAG data. The tumor mutation burden (TMB), immune cell infiltration levels, and immune response checkpoints of the identified risk groups were determined and compared. A total of two clusters were identified based on the LMAG expression, showing significant differences in tumor stage and immune cell infiltration. A prognostic risk model based on four LMAGs was constructed and proven to have a significant prognostic value. The 1-, 3-, and 5-year survival rates in the high-risk group were 62.2%, 20.5%, and 8.1%, respectively, whereas those in the low-risk group were 78.9%, 28.1%, and 13.5%, respectively. The survival differences between the two risk groups were likely associated with

Indexed as

hepatocellular carcinomaimmune cell infiltrationimmune checkpointlipid metabolismprognosis

Identifiers

PMID36330335
PMCPMC9622944

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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.