Evidence map›Paper›PMID 29707153›Full record

ArticleOncotarget2018

Diagnostic and prognostic biomarker potential of kallikrein family genes in different cancer types.

Prashant D Tailor, Sai Karthik Kodeboyina, Shan Bai, Nikhil Patel, Shruti Sharma, Akshay Ratnani, John A Copland, Jin-Xiong She, Ashok Sharma

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

38 citing papers in PubMed, 66 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

9 authors at 2 institutions in 1 country.

Prashant D TailorMedical College of Georgia, Augusta University, Augusta, GA, USA.
Sai Karthik KodeboyinaCenter for Biotechnology and Genomic Medicine, Augusta University, Augusta, GA, USA.
Shan BaiCenter for Biotechnology and Genomic Medicine, Augusta University, Augusta, GA, USA.
Nikhil PatelDepartment of Pathology, Augusta University, Augusta, GA, USA.
Shruti SharmaCenter for Biotechnology and Genomic Medicine, Augusta University, Augusta, GA, USA.
Akshay RatnaniMedical College of Georgia, Augusta University, Augusta, GA, USA.
John A CoplandMayo Clinic, Jacksonville, FL, USA.
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, Augusta University, Augusta, GA, USA.
Ashok SharmaCenter for Biotechnology and Genomic Medicine, Augusta University, Augusta, GA, USA.
Augusta University · USWinnMed · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to compare and contrast the expression of all members of the Kallikrein (KLK) family of genes across 15 cancer types and to evaluate their utility as diagnostic and prognostic biomarkers.

resultsSevere alterations were found in the expression of different Kallikrein genes across various cancers. Interestingly, renal clear cell and papillary carcinomas have similar kallikrein expression profiles, whereas, chromophobe renal cell carcinoma has a unique expression profile. Several KLK genes have excellent biomarker potential (AUC > 0.90) for chromophobe renal cell carcinoma (

methodsThe RNA-seq gene expression data were downloaded from The Cancer Genome Atlas (TCGA). Statistical analyses, including differential expression analysis, receiver operating characteristic curves and survival analysis (Cox proportional-hazards regression models) were performed.

conclusionsA comprehensive analysis revealed the changes in the expression of different KLK genes associated with specific cancers and highlighted their potential as a diagnostic and prognostic tool.

Indexed as

cancergene expressionkallikreinsprognosisTCGA

Identifiers

PMID29707153
PMCPMC5915161
OpenAlexW2795812451

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.