Evidence map›Paper›PMID 38034730›Full record

ArticleHeliyon2023

Single-cell and bulk RNA-sequencing analysis to predict the role and clinical value of CD36 in lung squamous cell carcinoma.

Hui Wang, Jianyu Pang, Shuojie Zhang, Qian Yu, Yongzhi Chen, Lulin Wang, Miaomiao Sheng, Juhua Dan, Wenru Tang

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 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
0.7field-weighted citation impact, top 23% 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, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. The function of CD36 inFrontiers in immunology · 2024
    Review
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

9 authors at 1 institution in 1 country.

Hui WangLaboratory of Molecular Genetics of Aging & Tumor, Medicine School, Kunming University of Science and Technology, No. 727, Jingming South Road, Kunming City, Yunnan Province, China.
Jianyu PangLaboratory of Molecular Genetics of Aging & Tumor, Medicine School, Kunming University of Science and Technology, No. 727, Jingming South Road, Kunming City, Yunnan Province, China.
Shuojie ZhangLaboratory of Molecular Genetics of Aging & Tumor, Medicine School, Kunming University of Science and Technology, No. 727, Jingming South Road, Kunming City, Yunnan Province, China.
Qian YuLaboratory of Molecular Genetics of Aging & Tumor, Medicine School, Kunming University of Science and Technology, No. 727, Jingming South Road, Kunming City, Yunnan Province, China.
Yongzhi ChenLaboratory of Molecular Genetics of Aging & Tumor, Medicine School, Kunming University of Science and Technology, No. 727, Jingming South Road, Kunming City, Yunnan Province, China.
Lulin WangLaboratory of Molecular Genetics of Aging & Tumor, Medicine School, Kunming University of Science and Technology, No. 727, Jingming South Road, Kunming City, Yunnan Province, China.
Miaomiao ShengLaboratory of Molecular Genetics of Aging & Tumor, Medicine School, Kunming University of Science and Technology, No. 727, Jingming South Road, Kunming City, Yunnan Province, China.
Juhua DanLaboratory of Molecular Genetics of Aging & Tumor, Medicine School, Kunming University of Science and Technology, No. 727, Jingming South Road, Kunming City, Yunnan Province, China.
Wenru TangLaboratory of Molecular Genetics of Aging & Tumor, Medicine School, Kunming University of Science and Technology, No. 727, Jingming South Road, Kunming City, Yunnan Province, China.
Kunming University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The majority of patients with lung squamous cell carcinoma are diagnosed at an advanced stage, which poses a challenge to the efficacy of chemotherapy. Therefore, the search for an early biomarker needs to be addressed. CD36 is a scavenger receptor expressed in various cell types. It has been reported that it is closely related to the occurrence and development of many kinds of tumours. However, its role in lung squamous cell carcinoma has not been reported. Our research aims to reveal the role of CD36 in lung squamous cell carcinoma by integrating single-cell RNA sequencing (scRNA-seq) and bulk RNA sequencing data. We used bioinformatics methods to explore the potential carcinogenicity of CD36 by analysing the data from the cancer genome map (TCGA), gene expression comprehensive map (GEO), human protein map (HPA) comparative toxicology genomics database (CTD) and other resources. Our study dissected the relationship between CD36 and prognosis and gene correlation, functional analysis, mutation of different tumours, infiltration of immune cells and exploring the interaction between CD36 and chemicals. The results showed that the expression of CD36 was heterogeneous. Compared with normal patients, the expression was low in lung squamous cell carcinoma. In addition, CD36 showed early diagnostic value in four kinds of tumours (LUSC, BLCA, BRCA and KIRC) and was positively or negatively correlated with the prognosis of different tumours. The relationship between CD36 and the tumour immune microenvironment was revealed by immunoinfiltration analysis, and many drugs that might target CD36 were identified by the comparative toxicological genomics database (CTD). In summary, through pancancer analysis, we found and verified for the first time that CD36 may play a role in the detection of lung squamous cell carcinoma. In addition, it has high specificity and sensitivity in detecting cancer. Therefore, CD36 can be used as an auxiliary index for early tumour diagnosis and a prognostic marker for lung squamous cell carcinoma.

Indexed as

CD36ImmuneLUSCMetabolismPrognosis

Identifiers

PMID38034730
PMCPMC10682125
OpenAlexW4388571149

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.