Evidence map›Paper›PMID 39831242›Full record

ArticleJournal of thoracic disease2024

Elevated

Junjie Chen, Guoling Chen, Xinying Fang, Jie Sun, Jiahui Song, Zhiming Chen

Abstract read
In one paragraph

Article in Journal of thoracic disease, 2024. 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
–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

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. 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

6 authors.

Junjie ChenClinical Medical Research Center, Affiliated Hospital of Nantong University, Nantong, China.
Guoling ChenDepartment of Radiotherapy & Oncology, Affiliated Hospital of Nantong University, Nantong, China.
Xinying FangDepartment of Radiotherapy & Oncology, Affiliated Hospital of Nantong University, Nantong, China.
Jie SunDepartment of Radiotherapy & Oncology, Affiliated Hospital of Nantong University, Nantong, China.
Jiahui SongDepartment of Radiotherapy & Oncology, Affiliated Hospital of Nantong University, Nantong, China.
Zhiming ChenDepartment of Radiotherapy & Oncology, Affiliated Hospital of Nantong University, Nantong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Esophageal squamous cell carcinoma (ESCC) stands as the sixth most common cause of cancer-related mortality on a global scale, with a strikingly high proportion-over half-of these fatalities occurring within China. The emergence of radiation resistance in ESCC patients significantly diminishes overall survival rates, complicating treatment regimens and reducing clinical outcomes. There is an urgent need to explore the molecular mechanisms that underpin radiation resistance in ESCC, which could lead to the identification of new therapeutic targets aimed at overcoming this resistance. This study aims to elucidate the role of myeloid cell leukemia-1 (MCL1) in ESCC and its association with radioresistance, thereby providing a novel strategy for enhancing the efficacy of radiotherapy. Methods: We used The Cancer Genome Atlas (TCGA) database, Genotype-Tissue Expression (GTEx) project and real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) of 10 pairs of fresh endoscopic biopsy samples from patients with ESCC to analyze the messenger RNA (mRNA) expression levels of Results: The analysis of TCGA database and the results of RT-qPCR indicated that the mRNA level of Conclusions: These findings indicate that

Indexed as

cell cycleEsophageal squamous cell carcinoma (ESCC)myeloid cell leukemia-1 (MCL1)radioresistancestemness

Identifiers

PMID39831242
PMCPMC11740075

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.