Evidence map›Paper›PMID 37693152›Full record

ArticleAmerican journal of cancer research2023

Decoding SEC24 Homolog D, COPII coat complex component accuracy as a signature gene in three human cancers.

Weiwei Du, Yang Sun, Wentao Ji, Tian Luo, Dandan Zhang, Weihong Guo, Jianping Liang, Yanhua Lv, Mengwei Dong, Kaixin Li

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. ER exit in physiology and disease.Frontiers in molecular biosciences · 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

10 authors at 1 institution in 1 country.

Weiwei DuDepartment of Respiratory and Critical Care Medicine, Zhongshan City People's Hospital Zhongshan, Guangdong, China.
Yang SunBaotou Medical College Baotou, Inner Mongolia, China.
Wentao JiDepartment of Respiratory and Critical Care Medicine, Zhongshan City People's Hospital Zhongshan, Guangdong, China.
Tian LuoDepartment of Respiratory and Critical Care Medicine, Zhongshan City People's Hospital Zhongshan, Guangdong, China.
Dandan ZhangDepartment of Respiratory and Critical Care Medicine, Zhongshan City People's Hospital Zhongshan, Guangdong, China.
Weihong GuoDepartment of Respiratory and Critical Care Medicine, Zhongshan City People's Hospital Zhongshan, Guangdong, China.
Jianping LiangDepartment of Respiratory and Critical Care Medicine, Zhongshan City People's Hospital Zhongshan, Guangdong, China.
Yanhua LvDepartment of Respiratory and Critical Care Medicine, Zhongshan City People's Hospital Zhongshan, Guangdong, China.
Mengwei DongHebei Provincial Hospital of Traditional Chinese Medicine Shijiazhuang, Hebei, China.
Kaixin LiGansu University of Chinese Medicine Lanzhou, Gansu, China.
Baotou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although an increasing body of evidence supports the crucial role of the SEC24 Homolog D, COPII Coat Complex Component (SEC24D) gene in the initiation and progression of cancer, a comprehensive pan-cancer analysis of this gene is still lacking. In this study, we conducted an extensive investigation of SEC24D, aiming to elucidate its potential role and underlying mechanisms across multiple human tumors. Our analysis relied on data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. To validate our findings, we employed RNA sequencing (RNA-seq), targeted bisulfite sequencing (bisulfite-seq) molecular techniques. Our findings revealed elevated mRNA (Messenger RNA) and protein levels of SEC24D in different tumor tissues. However, the up-regulation of SEC24D was significantly correlated with shorter overall survival (OS), metastasis, and various clinical parameters in esophageal cancer (ESCA), lung adenocarcinoma (LUAD), and kidney renal papillary cell carcinoma (KIRP). Expression validation analysis via RNA-seq and targeted bisulfite-seq analyses, further confirmed the higher expression of SEC24D in LUAD cancer cell lines as compared to normal controls. The DNA methylation level of SEC24D was found to be decreased in ESCA, LUAD, and KIRP samples. DNA methylation analysis via bisulfite-seq analysis also validate the lower promoter methylation level of SE24D in LUAD cell lines relative to controls. Moreover, we observed a significant association between the elevated expression of SEC24D and the levels of infiltrating cells, such as B cells, neutrophils, macrophages, CD8+ T cells, and CD4+ T cells. Analysis of SEC24-related genes revealed that "Protein processing in endoplasmic reticulum, SNARE interaction in vesicular transport, Legionellosis, Pathogenic Escherichia coli infection" were mainly involved in the functional mechanism of SEC24D in ESCA, LUAD, and KIRP. Moreover, we also suggested a few valuable drugs (Acetaminophen, Acteoside, Cyclosporine, Polydatin, Estradiol, Estradiol, Quercetin) for treating ESCA, LUAD, and KIRP patients with respect to overexpressed SEC24D. To summarize, this comprehensive pan-cancer study investigated the association between SEC24D expression and clinical parameters in ESCA, LUAD, KIRP. The study provides valuable insights for further exploring the functional and therapeutic aspects of SEC24D and underscores its predictive significance in the carcinogenesis and prognosis of these specific cancer types.

Indexed as

cancerdiagnosticprognosticSEC24D

Identifiers

PMID37693152
PMCPMC10492113
OpenAlexW4386592447

What Socratic 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 Socratic graph.