Evidence map›Paper›PMID 29435069›Full record

ArticleOncology letters2018

Serum microRNA-193b as a promising biomarker for prediction of chemoradiation sensitivity in esophageal squamous cell carcinoma patients.

Chung Man Chan, Kenneth K Y Lai, Enders K O Ng, Mei Na Kiang, Tiffany W H Kwok, Hector K Wang, Kwok Wah Chan, Tsz Ting Law, Daniel K Tong, Kin Tak Chan and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Prognostic Value of MicroRNAs in Esophageal Carcinoma: A Meta-Analysis.Clinical and translational gastroenterology · 2018
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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

12 authors at 1 institution in 1 country.

Chung Man ChanDepartment of Surgery, The University of Hong Kong, Hong Kong, SAR, P.R. China.
Kenneth K Y LaiDepartment of Surgery, The University of Hong Kong, Hong Kong, SAR, P.R. China.
Enders K O NgDepartment of Surgery, The University of Hong Kong, Hong Kong, SAR, P.R. China.
Mei Na KiangDepartment of Surgery, The University of Hong Kong, Hong Kong, SAR, P.R. China.
Tiffany W H KwokDepartment of Surgery, The University of Hong Kong, Hong Kong, SAR, P.R. China.
Hector K WangDepartment of Surgery, The University of Hong Kong, Hong Kong, SAR, P.R. China.
Kwok Wah ChanDepartment of Pathology, The University of Hong Kong, Hong Kong, SAR, P.R. China.
Tsz Ting LawDepartment of Surgery, The University of Hong Kong, Hong Kong, SAR, P.R. China.
Daniel K TongDepartment of Surgery, The University of Hong Kong, Hong Kong, SAR, P.R. China.
Kin Tak ChanDepartment of Surgery, The University of Hong Kong, Hong Kong, SAR, P.R. China.
Nikki P LeeDepartment of Surgery, The University of Hong Kong, Hong Kong, SAR, P.R. China.
Simon LawDepartment of Surgery, The University of Hong Kong, Hong Kong, SAR, P.R. China.
University of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal squamous cell carcinoma (ESCC) is the most predominantly occurring type of esophageal cancer worldwide. Locally advanced ESCC patients are treated by neoadjuvant chemoradiation for tumor downstaging prior to tumor resection. Patients receiving this treatment have an increased expectation of cure via the following tumor resection and have better survival outcomes. However, not all patients respond well to chemoradiation and poor responders suffer from treatment-associated toxicity and complications without benefits. No method is currently available to predict patient chemoradiation response and to exclude poor responders from ineffective treatment. To address this clinical limitation, the present study aimed to identify non-invasive biomarkers for predicting patient chemoradiation response. Due to the features of microRNA (miRNA) in cancer diagnosis, prognosis and treatment response prediction, serum miRNA arrays were performed to identify potential miRNA(s) that may be used for chemoradiation response prediction in ESCC. Using an miRNA array to compare pre-treatment serum sample pools from 10 good responders and 10 poor responders, the present study identified miR-193b, miR-942 and miR-629* as candidate miRNAs for predicting chemoradiation response. Subsequent validation using reverse transcription-quantitative polymerase chain reaction confirmed that miR-193b, however not miR-942 and miR-629*, were significantly increased in sera from 24 good responders, compared with 23 poor responders. Further analyses using the receiver operating characteristic curve revealed a strong predictive power of serum miR-193b on discriminating good responders from poor responders to chemoradiation. In addition, a high serum level of miR-193b was significantly associated with better survival outcomes. Therefore, serum miR-193b may be considered a promising biomarker for predicting chemoradiation response and post-therapy survival of ESCC patients.

Indexed as

biomarkerchemoradiation responseesophageal squamous cell carcinomamiR-193bserum microRNAs

Identifiers

PMID29435069
PMCPMC5778798
OpenAlexW2776943383

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.