Evidence map›Paper›PMID 31444383›Full record

ArticleScientific reports2019

Harnessing the tissue and plasma lncRNA-peptidome to discover peptide-based cancer biomarkers.

Sajib Chakraborty, Geoffroy Andrieux, A M Mahmudul Hasan, Musaddeque Ahmed, Md Ismail Hosen, Tania Rahman, M Anwar Hossain, Melanie Boerries

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 31% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Peptidomics Strategies to Evaluate Cancer Diagnosis, Prognosis, and Treatment.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. 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

8 authors at 3 institutions in 3 countries.

Sajib ChakrabortyMolecular systems biology laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0002-8900-503X
Geoffroy AndrieuxInstitute of Medical Bioinformatics and Systems Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.
A M Mahmudul HasanMolecular systems biology laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.
Musaddeque AhmedPrincess Margaret Cancer Centre/University Health Network, Toronto, Ontario, Canada.
Md Ismail HosenMolecular systems biology laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0003-0862-7206
Tania RahmanMolecular systems biology laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.ORCID http://orcid.org/0000-0002-6398-3214
M Anwar HossainMolecular systems biology laboratory, Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh.
Melanie BoerriesInstitute of Medical Bioinformatics and Systems Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany. m.boerries@dkfz-heidelberg.de.ORCID http://orcid.org/0000-0002-3670-0602
University of Dhaka · BDUniversity of Freiburg · DEUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteome-centric studies, although have identified numerous lncRNA-encoded polypeptides, lack differential expression analysis of lncRNA-peptidome across primary tissues, cell lines and cancer states. We established a computational-proteogenomic workflow involving re-processing of publicly available LC-MS/MS data, which facilitated the identification of tissue-specific and universally expressed (UExp) lncRNA-polypeptides across 14 primary human tissues and 11 cell lines. The utility of lncRNA-peptidome as cancer-biomarkers was investigated by re-processing LC-MS/MS data from 92 colon-adenocarcinoma (COAD) and 30 normal colon-epithelium tissues. Intriguingly, a significant upregulation of five lncRNA UExp-polypeptides in COAD tissues was observed. Furthermore, clustering of the UExp-polypeptides led to the classification of COAD patients that coincided with the clinical stratification, underlining the prognostic potential of the UExp-polypeptides. Lastly, we identified differential abundance of the UExp-polypeptides in the plasma of prostate-cancer patients highlighting their potential as plasma-biomarker. The analysis of lncRNA-peptidome may pave the way to identify effective tissue/plasma biomarkers for different cancer types.

Indexed as

AdenocarcinomaBiomarkers, TumorCell LineColonic NeoplasmsHumansMaleNeoplasmsOrgan SpecificityPeptidesPrognosisProstatic NeoplasmsProteogenomicsProteomeRNA, Long NoncodingBiomarkers, TumorPeptidesProteomeRNA, Long Noncoding

Identifiers

PMID31444383
PMCPMC6707329
OpenAlexW2969544939

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.