Evidence map›Paper›PMID 28624626›Full record

ArticleNeoplasia (New York, N.Y.)2017

Alternative Polyadenylation Patterns for Novel Gene Discovery and Classification in Cancer.

Oguzhan Begik, Merve Oyken, Tuna Cinkilli Alican, Tolga Can, Ayse Elif Erson-Bensan

Abstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

5 authors.

Oguzhan BegikDepartment of Biological Sciences, M.E.T.U., Ankara, 06800, Turkey.
Merve OykenDepartment of Biological Sciences, M.E.T.U., Ankara, 06800, Turkey.
Tuna Cinkilli AlicanDepartment of Biological Sciences, M.E.T.U., Ankara, 06800, Turkey.
Tolga CanDepartment of Computer Engineering, M.E.T.U., Ankara, 06800, Turkey; Cancer Systems Biology Laboratory (CanSyL), M.E.T.U., Ankara, 06800, Turkey.
Ayse Elif Erson-BensanDepartment of Biological Sciences, M.E.T.U., Ankara, 06800, Turkey; Cancer Systems Biology Laboratory (CanSyL), M.E.T.U., Ankara, 06800, Turkey. Electronic address: erson@metu.edu.tr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Certain aspects of diagnosis, prognosis, and treatment of cancer patients are still important challenges to be addressed. Therefore, we propose a pipeline to uncover patterns of alternative polyadenylation (APA), a hidden complexity in cancer transcriptomes, to further accelerate efforts to discover novel cancer genes and pathways. Here, we analyzed expression data for 1045 cancer patients and found a significant shift in usage of poly(A) signals in common tumor types (breast, colon, lung, prostate, gastric, and ovarian) compared to normal tissues. Using machine-learning techniques, we further defined specific subsets of APA events to efficiently classify cancer types. Furthermore, APA patterns were associated with altered protein levels in patients, revealed by antibody-based profiling data, suggesting functional significance. Overall, our study offers a computational approach for use of APA in novel gene discovery and classification in common tumor types, with important implications in basic research, biomarker discovery, and precision medicine approaches.

Indexed as

Genetic Association StudiesPolyadenylationRNA, Messenger3' Untranslated RegionsGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansNeoplasmsTranscriptomeWorkflow3' Untranslated RegionsRNA, Messenger

Identifiers

PMID28624626
PMCPMC5476451

What OpenQuestion holds

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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.