Evidence map›Paper›PMID 27119500›Full record

ReviewOncotarget2016

Proteomics and peptidomics: moving toward precision medicine in urological malignancies.

Ashley Di Meo, Maria D Pasic, George M Yousef

Abstract readReview
In one paragraph

Review in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Bioactive Peptides From theFood science & nutrition · 2026
    Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Peptidomics Strategies to Evaluate Cancer Diagnosis, Prognosis, and Treatment.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  7. Review
  8. Article
  9. Circulating Peptidome Is Strongly Altered in COVID-19 Patients.International journal of environmental research and public health · 2023
    Article
  10. Article
  11. OMICS in Chronic Kidney Disease: Focus on Prognosis and Prediction.International journal of molecular sciences · 2021
    Review
  12. Urinary Protein and Peptide Markers in Chronic Kidney Disease.International journal of molecular sciences · 2021
    Review
  13. Review
  14. Review
  15. Article
  16. Peptidomics and Capillary Electrophoresis.Advances in experimental medicine and biology · 2021
    Article
  17. Article
  18. Urinary Peptidomic Biomarkers in Kidney Diseases.International journal of molecular sciences · 2019
    Review
  19. 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

3 authors.

Ashley Di MeoDepartment of Laboratory Medicine, and The Keenan Research Centre for Biomedical Science at The Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.
Maria D PasicDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
George M YousefDepartment of Laboratory Medicine, and The Keenan Research Centre for Biomedical Science at The Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urological malignancies are a major cause of morbidity and mortality worldwide. Advances in early detection, diagnosis, prognosis and prediction of treatment response can significantly improve patient care. Proteomic and peptidomic profiling studies are at the center of kidney, prostate and bladder cancer biomarker discovery and have shown great promise for improved clinical assessment. Mass spectrometry (MS) is the most widely employed method for proteomic and peptidomic analyses. A number of MS platforms have been developed to facilitate accurate identification of clinically relevant markers in various complex biological samples including tissue, urine and blood. Furthermore, protein profiling studies have been instrumental in the successful introduction of several diagnostic multimarker tests into the clinic. In this review, we will provide a brief overview of high-throughput technologies for protein and peptide based biomarker discovery. We will also examine the current state of kidney, prostate and bladder cancer biomarker research as well as review the journey toward successful clinical implementation.

Indexed as

Urologic NeoplasmsBiomarkers, TumorHigh-Throughput Screening AssaysHumansPrecision MedicineProteomicsUrologyBiomarkers, Tumorbladder cancerkidney cancerpersonalized medicineprostate cancertumor markers

Identifiers

PMID27119500
PMCPMC5239567

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.