Evidence map›Paper›PMID 34660277›Full record

ArticleFrontiers in oncology2021

MMS22L Expression as a Predictive Biomarker for the Efficacy of Neoadjuvant Chemoradiotherapy in Oesophageal Squamous Cell Carcinoma.

Qiyu Luo, Wenwu He, Tianqin Mao, Xuefeng Leng, Hong Wu, Wen Li, Xuyang Deng, Tingci Zhao, Ming Shi, Chuan Xu and 1 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2021. 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
0.6field-weighted citation impact, top 30% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

11 authors at 4 institutions in 1 country.

Qiyu LuoSchool of Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
Wenwu HeDepartment of Thoracic Surgery, Sichuan Cancer Hospital & Research Institute, School of Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
Tianqin MaoSchool of Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
Xuefeng LengDepartment of Thoracic Surgery, Sichuan Cancer Hospital & Research Institute, School of Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
Hong WuIntegrative Cancer Center & Cancer Clinical Research Center, Sichuan Cancer Hospital & Institute Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Wen LiIntegrative Cancer Center & Cancer Clinical Research Center, Sichuan Cancer Hospital & Institute Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Xuyang DengDepartment of Thoracic Surgery, Sichuan Cancer Hospital & Research Institute, School of Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
Tingci ZhaoDepartment of International Medical Center/Ward of General Practice, West China Hospital, Sichuan University, Chengdu, China.
Ming ShiDepartment of Pathology, Sichuan Cancer Hospital & Research Institute, School of Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
Chuan XuIntegrative Cancer Center & Cancer Clinical Research Center, Sichuan Cancer Hospital & Institute Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
Yongtao HanDepartment of Thoracic Surgery, Sichuan Cancer Hospital & Research Institute, School of Medicine, University of Electronic Science and Technology of China (UESTC), Chengdu, China.
Sichuan Cancer Hospital · CNUniversity of Electronic Science and Technology of China · CNChina National Nuclear Corporation · CNWest China Medical Center of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long-term survival in oesophageal squamous cell carcinoma (ESCC) is related with pathological response after neoadjuvant chemoradiotherapy (NCRT) followed by surgery. However, effective biomarkers to predict the pathologic response are still lacking. Therefore, a systematic analysis focusing on genes associated with the efficacy of chemoradiotherapy in ESCC will provide valuable insights into the regulation of molecular processes. By screening publications deposited in PubMed, we collected genes associated with the efficacy of chemoradiotherapy. A specific subnetwork was constructed using the Steiner minimum tree algorithm. Survival analysis in Kaplan-Meier Plotter online resources was performed to explore the relationship between gene mRNA expression and the prognosis of patients with ESCC. Quantitative real-time polymerase chain reaction (qRT-PCR), Western blotting, and immunohistochemical staining (IHC) were used to evaluate the expression of key genes in cell lines and human samples. The areas under the receiver operating characteristic (ROC) curves (AUCs) were used to describe performance and accuracy. Transwell assays assessed cell migration, and cell viability was detected using the Cytotoxicity Assay. Finally, we identified 101 genes associated with efficacy of chemoradiotherapy. Additionally, specific molecular networks included some potential related genes, such as

Indexed as

bioinformatics analysislymph node metastasismigrationMMS22Lneoadjuvant chemoradiotherapyoesophageal squamous cell carcinoma

Identifiers

PMID34660277
PMCPMC8514954
OpenAlexW3201998311

What Socratic holds

Textmetadata
LicenceCC BY
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.