Evidence map›Paper›PMID 33251353›Full record

ArticleHeliyon2020

Identification of potential biomarkers for lung adenocarcinoma.

Deepak Sayeeram, Teesta V Katte, Saloni Bhatia, Anushree Jai Kumar, Avinesh Kumar, G Jayashree, D S Rachana, Harsha Vardhan Nalla Reddy, Avinash Arvind Rasalkar, Rajya Lakshmi Malempati and 1 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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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

11 authors at 1 institution in 1 country.

Deepak SayeeramDepartment of Biotechnology, BMS College of Engineering, Bengaluru, India.
Teesta V KatteDepartment of Biotechnology, BMS College of Engineering, Bengaluru, India.
Saloni BhatiaDepartment of Biotechnology, BMS College of Engineering, Bengaluru, India.
Anushree Jai KumarDepartment of Biotechnology, BMS College of Engineering, Bengaluru, India.
Avinesh KumarDepartment of Biotechnology, BMS College of Engineering, Bengaluru, India.
G JayashreeDepartment of Biotechnology, BMS College of Engineering, Bengaluru, India.
D S RachanaDepartment of Biotechnology, BMS College of Engineering, Bengaluru, India.
Harsha Vardhan Nalla ReddyXe3 Edubioskills Solutions Pvt. Ltd, Bengaluru, India.
Avinash Arvind RasalkarinDNA Life Sciences Private Limited, Plot 368, 3 Floor, North View, Infocity Avenue, Patia, Bhubaneswar, Odisha 751024, India.
Rajya Lakshmi MalempatiDepartment of Biotechnology, BMS College of Engineering, Bengaluru, India.
Divijendra Natha Reddy SDepartment of Biotechnology, BMS College of Engineering, Bengaluru, India.
Department of Health & Family Welfare · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD) is the most predominant subtype of lung cancers and is one of the leading causes of cancer related mortality worldwide. Despite the advancements in the field of cancer diagnostics and therapeutics, detection at an early stage using reliable biomarkers is an unmet clinical need for a plethora of cancers, including LUAD, thus attributing to poor prognosis. In view of this, to identify potential biomarkers and therapeutic candidate genes, the expression of all known human genes was screened in the publicly available 'The Cancer Genome Atlas' (TCGA) samples of LUAD patients which resulted in the identification of overexpressed genes. Further analysis of these genes across various patient sample datasets revealed that ZNF687, ODR4, PBXIP1, PYGO2, METTL3, PIGM and RAD1 are consistently more highly expressed in LUAD. Higher expression of these genes either alone or in combination is correlated with poor survival of LUAD patients. Hence, in this study we propose that these identified genes could serve as potential candidates as gene signatures or biomarkers for LUAD that require further investigation in large cohorts of LUAD samples.

Indexed as

BioinformaticsBiomarkersCancer researchcBioPortalGene expressionLung adenocarcinomaOncologyThe cancer Genome Atlas

Identifiers

PMID33251353
PMCPMC7677689
OpenAlexW3100382088

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.