Evidence map›Paper›PMID 33495453›Full record

ArticleNPJ genomic medicine2021

Pan-cancer analysis of transcripts encoding novel open-reading frames (nORFs) and their potential biological functions.

Chaitanya Erady, Adam Boxall, Shraddha Puntambekar, N Suhas Jagannathan, Ruchi Chauhan, David Chong, Narendra Meena, Apurv Kulkarni, Bhagyashri Kasabe, Kethaki Prathivadi Bhayankaram and 7 more

Open access · goldAbstract read
In one paragraph

Article in NPJ genomic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

21 citing papers in PubMed, 49 citations in OpenAlex.

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  19. Unveiling a Ghost Proteome in the Glioblastoma Non-Coding RNAs.Frontiers in cell and developmental biology · 2021
    Review
  20. Article
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

17 authors at 3 institutions in 3 countries.

Chaitanya Erady *Department of Genetics, University of Cambridge, Downing Site, Cambridge, CB2 3EH, UK.
Adam Boxall *Department of Genetics, University of Cambridge, Downing Site, Cambridge, CB2 3EH, UK.ORCID http://orcid.org/0000-0002-3677-3043
Shraddha Puntambekar *Department of Biology, Indian Institute of Science Education and Research, Pune, Maharashtra, 411008, India.
N Suhas Jagannathan *Cancer and Stem Cell Biology Programme, and Centre for Computational Biology, Duke-NUS Medical School, Singapore, 169857, Singapore.ORCID http://orcid.org/0000-0002-1857-8789
Ruchi Chauhan *Department of Genetics, University of Cambridge, Downing Site, Cambridge, CB2 3EH, UK.
David ChongDepartment of Genetics, University of Cambridge, Downing Site, Cambridge, CB2 3EH, UK.
Narendra MeenaDepartment of Genetics, University of Cambridge, Downing Site, Cambridge, CB2 3EH, UK.
Apurv KulkarniDepartment of Biology, Indian Institute of Science Education and Research, Pune, Maharashtra, 411008, India.
Bhagyashri KasabeDepartment of Biology, Indian Institute of Science Education and Research, Pune, Maharashtra, 411008, India.
Kethaki Prathivadi BhayankaramDepartment of Genetics, University of Cambridge, Downing Site, Cambridge, CB2 3EH, UK.
Yagnesh UmraniaCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QR, UK.
Adam AndreaniDepartment of Genetics, University of Cambridge, Downing Site, Cambridge, CB2 3EH, UK.
Jean NelDepartment of Genetics, University of Cambridge, Downing Site, Cambridge, CB2 3EH, UK.
Matthew T WaylandDepartment of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, UK.ORCID http://orcid.org/0000-0002-8095-858X
Cristina PinaDepartment of Haematology, Cambridge Biomedical Campus, Cambridge, CB2 0PT, UK.
Kathryn S LilleyCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QR, UK.ORCID http://orcid.org/0000-0003-0594-6543
Sudhakaran PrabakaranDepartment of Genetics, University of Cambridge, Downing Site, Cambridge, CB2 3EH, UK. sp339@cam.ac.uk.ORCID http://orcid.org/0000-0002-6527-1085
University of Cambridge · GBIndian Institute of Science Education and Research Pune · INDuke-NUS Medical School · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Uncharacterized and unannotated open-reading frames, which we refer to as novel open reading frames (nORFs), may sometimes encode peptides that remain unexplored for novel therapeutic opportunities. To our knowledge, no systematic identification and characterization of transcripts encoding nORFs or their translation products in cancer, or in any other physiological process has been performed. We use our curated nORFs database (nORFs.org), together with RNA-Seq data from The Cancer Genome Atlas (TCGA) and Genotype-Expression (GTEx) consortiums, to identify transcripts containing nORFs that are expressed frequently in cancer or matched normal tissue across 22 cancer types. We show nORFs are subject to extensive dysregulation at the transcript level in cancer tissue and that a small subset of nORFs are associated with overall patient survival, suggesting that nORFs may have prognostic value. We also show that nORF products can form protein-like structures with post-translational modifications. Finally, we perform in silico screening for inhibitors against nORF-encoded proteins that are disrupted in stomach and esophageal cancer, showing that they can potentially be targeted by inhibitors. We hope this work will guide and motivate future studies that perform in-depth characterization of nORF functions in cancer and other diseases.

Identifiers

PMID33495453
PMCPMC7835362
OpenAlexW3123940298

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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.