Evidence map›Paper›PMID 32355273›Full record

ArticleScientific reports2020

Comprehensive analysis of the SLC16A gene family in pancreatic cancer via integrated bioinformatics.

Shan Yu, Yanshuang Wu, Chunlong Li, Zhaowei Qu, Ge Lou, Xiaorong Guo, Jingjing Ji, Nan Li, Mian Guo, Maomao Zhang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

45 citing papers in PubMed, 58 citations in OpenAlex.

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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.

Shan Yu *Department of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China. yushan@hrbmu.edu.cn.ORCID http://orcid.org/0000-0002-1747-3854
Yanshuang Wu *Department of Histology and Embryology, Harbin Medical University, Harbin, 150001, China.
Chunlong LiDepartment of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Zhaowei QuDepartment of Hepatobiliary and Pancreatic Surgery, Harbin Medical University Cancer Hospital, Harbin, 150001, China.
Ge LouDepartment of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Xiaorong GuoDepartment of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Jingjing JiDepartment of Pathology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Nan LiDepartment of Pathology, the Fourth Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Mian GuoDepartment of Neurosurgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Maomao ZhangThe Key Laboratory of Myocardial Ischemia, Department of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
Lei LeiDepartment of Histology and Embryology, Harbin Medical University, Harbin, 150001, China.
Sheng TaiDepartment of Hepatobiliary and Pancreatic Surgery, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150001, China. taisheng1973@163.com.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SLC16A family members play crucial roles in tumorigenesis and tumor progression. However, the exact role of distinct members in the SLC16A family in human pancreatic cancer remains unclear. Integrated bioinformatics analysis for the identification of therapeutic targets for certain cancers based on transcriptomics, proteomics and high-throughput sequencing could help us obtain novel information and understand potential underlying molecular mechanisms. In the present study, we investigated SLC16A family members in pancreatic cancer through accumulated data from GEO (Gene Expression Omnibus), TCGA (The Cancer Genome Atlas) and other available databases. The expression profile, clinical application significance and prognostic value of the SLC16A family for patients with pancreatic cancer were explored. SLC16A1, SLC16A3 and SLC16A13 exhibited biomarker potential for prognosis, and we further identified their related genes and regulatory networks, revealing core molecular pathways that require further investigation for pancreatic cancer.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkersBiomarkers, TumorCell Transformation, NeoplasticComputational BiologyDisease ProgressionGene Expression ProfilingGene Regulatory NetworksHumansImmunohistochemistryKaplan-Meier EstimateMonocarboxylate Transport Protein 1Monocarboxylic Acid TransportersMultigene FamilyOligonucleotide Array Sequence AnalysisPancreatic NeoplasmsBiomarkersBiomarkers, TumorMonocarboxylate Transport Protein 1Monocarboxylic Acid TransportersSlc16a13 protein, humanSLC16A3 protein, humanSymporters

Identifiers

PMID32355273
PMCPMC7193566
OpenAlexW3022667211

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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.