Evidence map›Paper›PMID 28473704›Full record

ArticleScientific reports2017

CancerPDF: A repository of cancer-associated peptidome found in human biofluids.

Sherry Bhalla, Ruchi Verma, Harpreet Kaur, Rajesh Kumar, Salman Sadullah Usmani, Suresh Sharma, Gajendra P S Raghava

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. SalivaDB-a comprehensive database for salivary biomarkers in humans.Database : the journal of biological databases and curation · 2023
    Article
  8. Strategic Approaches to Improvise Peptide Drugs as Next Generation Therapeutics.International journal of peptide research and therapeutics · 2023
    Review
  9. Article
  10. Article
  11. CancerLivER: a database of liver cancer gene expression resources and biomarkers.Database : the journal of biological databases and curation · 2020
    Article
  12. Review
  13. Review
  14. PRRDB 2.0: a comprehensive database of pattern-recognition receptors and their ligands.Database : the journal of biological databases and curation · 2019
    Article
  15. ImmunoSPdb: an archive of immunosuppressive peptides.Database : the journal of biological databases and curation · 2019
    Article
  16. Article
  17. Article
  18. AntiTbPdb: a knowledgebase of anti-tubercular peptides.Database : the journal of biological databases and curation · 2018
    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

7 authors.

Sherry BhallaBioinformatics Centre, CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, 160036, India.
Ruchi VermaBioinformatics Centre, CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, 160036, India.
Harpreet KaurBioinformatics Centre, CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, 160036, India.
Rajesh KumarBioinformatics Centre, CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, 160036, India.
Salman Sadullah UsmaniBioinformatics Centre, CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, 160036, India.
Suresh SharmaCentre for Systems Biology and Bioinformatics, Panjab University, Sector 14, Chandigarh, 160014, India.
Gajendra P S RaghavaBioinformatics Centre, CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, 160036, India. raghava@imtech.res.in.ORCID 0000-0002-8902-2876

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CancerPDF (Cancer Peptidome Database of bioFluids) is a comprehensive database of endogenous peptides detected in the human biofluids. The peptidome patterns reflect the synthesis, processing and degradation of proteins in the tissue environment and therefore can act as a gold mine to probe the peptide-based cancer biomarkers. Although an extensive data on cancer peptidome has been generated in the recent years, lack of a comprehensive resource restrains the facility to query the growing community knowledge. We have developed the cancer peptidome resource named CancerPDF, to collect and compile all the endogenous peptides isolated from human biofluids in various cancer profiling studies. CancerPDF has 14,367 entries with 9,692 unique peptide sequences corresponding to 2,230 unique precursor proteins from 56 high-throughput studies for ~27 cancer conditions. We have provided an interactive interface to query the endogenous peptides along with the primary information such as m/z, precursor protein, the type of cancer and its regulation status in cancer. To add-on, many web-based tools have been incorporated, which comprise of search, browse and similarity identification modules. We consider that the CancerPDF will be an invaluable resource to unwind the potential of peptidome-based cancer biomarkers. The CancerPDF is available at the web address http://crdd.osdd.net/raghava/cancerpdf/ .

Indexed as

Databases, ProteinAmino Acid SequenceBody FluidsHumansInternetNeoplasmsPeptidesProteomeSearch EnginePeptidesProteome

Identifiers

PMID28473704
PMCPMC5431423

What OpenQuestion holds

Textmetadata
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.