Evidence map›Paper›PMID 33457007›Full record

ArticleJournal of gastrointestinal oncology2020

CXCL5/CXCL8 is a promising potential prognostic and tumor microenvironment-related cluster in hepatocellular carcinoma.

Jun Zhu, Yifan Zhou, Liang Wang, Jun Hao, Rui Chen, Lei Liu, Jipeng Li

Open access · diamondAbstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

7 authors at 2 institutions in 1 country.

Jun ZhuState Key Laboratory of Cancer Biology, Institute of Digestive Diseases, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Yifan ZhouDepartment of Basic Medicine, The Fourth Military Medical University, Xi'an, China.
Liang WangDepartment of Ophthalmology, Eye Institute of Chinese PLA, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Jun HaoDepartment of Experiment Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
Rui ChenXijing Hospital, Fourth Military Medical University, Xi'an, China.
Lei LiuDepartment of Gastroenterology, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.
Jipeng LiState Key Laboratory of Cancer Biology, Institute of Digestive Diseases, Xijing Hospital, The Fourth Military Medical University, Xi'an, China.
Xijing Hospital · CNAir Force Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImmune checkpoint blockers (ICBs) are increasingly applied to treat patients with advanced HCC. However, the overall survival (OS) of HCC patients is still unsatisfactory, and there is no confirmed immune-related and prognostic gene to identify patients who could clinically benefit from this treatment. The tumor microenvironment (TME) is known to be closely related to immunotherapy and plays a pivotal role in the recurrence and progression of HCC. Our aim is to explore TME-related genes and identify the prognostic value in HCC patients.

methodsESTIMATE, immune, and stromal scores were calculated for HCC patients based on RNA expression data from The Cancer Genome Atlas database. Differential expression analysis was performed to screen the differentially expressed genes (DEGs). A protein-protein interaction (PPI) network was constructed to identify the key DEGs. Univariate and multivariate Cox analyses were adopted to validate hub DEGs associated with clinical prognosis, and a single-sample gene set enrichment analysis (ssGSEA) algorithm was used to dissect the landscape of tumor-infiltrating cells (TIC) in HCC. Finally, the relationship between hub immune-related genes and TIC was explored through difference and correlation analyses.

resultsESTIMATE, immune and stromal scores were all found to be associated with the OS of patients (P<0.05). A total of 1,112 DEGs were identified by comparing low and high score groups of immune and stromal scores. Most of DEGs were enriched in immune-related gene sets by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Additionally, the top 34 genes were included in the protein-protein interaction (PPI) network, and univariate Cox analysis focus on a novel prognosis-related gene cluster CXCL5/CXCL8 (P<0.001). Regarding the immune landscape of HCC, univariable Cox regression analysis showed six immune cells to be associated with OS. Finally, 21 immune cells were commonly determined between high and low expression of CXCL5/CXCL8, suggesting there is a close relationship between expression of CXCL5 and CXCL8 .

conclusionsOur study has revealed that the immune-related gene cluster of CXCL5 /CXCL8 could be a promising prognostic indicator for HCC and a potential novel biomarker to guide the selection of HCC patients for ICB immunotherapy.

Indexed as

CXCL5CXCL8Hepatocellular carcinoma (HCC)tumor microenvironment (TME)

Identifiers

PMID33457007
PMCPMC7807268
OpenAlexW3115374679

What OpenQuestion holds

Textmetadata
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.