Evidence map›Paper›PMID 35764700›Full record

ReviewJournal of cancer research and clinical oncology2023

Circulating metabolite biomarkers: a game changer in the human prostate cancer diagnosis.

Sabareeswaran Krishnan, Shruthi Kanthaje, Devasya Rekha Punchappady, M Mujeeburahiman, Chandrahas Koumar Ratnacaram

Open access · greenAbstract readReview
In one paragraph

Review in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Circulating biomarkers for diagnosis and response to therapies in cancer patients.International review of cell and molecular biology · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

5 authors at 1 institution in 1 country.

Sabareeswaran KrishnanYenepoya Research Centre, Yenepoya (Deemed to Be University), University Road, Deralakatte, Mangaluru, 575018, Karnataka, India.
Shruthi KanthajeYenepoya Research Centre, Yenepoya (Deemed to Be University), University Road, Deralakatte, Mangaluru, 575018, Karnataka, India.
Devasya Rekha PunchappadyYenepoya Research Centre, Yenepoya (Deemed to Be University), University Road, Deralakatte, Mangaluru, 575018, Karnataka, India.
M MujeeburahimanDepartment of Urology, Yenepoya Medical College Hospital, Deralakatte, Mangaluru, 575018, Karnataka, India. mujeeburahiman@gmail.com.
Chandrahas Koumar RatnacaramYenepoya Research Centre, Yenepoya (Deemed to Be University), University Road, Deralakatte, Mangaluru, 575018, Karnataka, India. rckoumar@yenepoya.edu.in.
Yenepoya University · IN

Funding

Yenepoya Deemed to be University YU/Seed Grant/ 090-2020
6 · The paper itself

Abstract

purposeProstate cancer (PCa) is the second most commonly diagnosed cancer in men in Western and Asian countries. Serum prostate-specific antigen (PSA) test has been the routine diagnostic method despite the tremendous research in diagnostic markers for early detection of PCa. A shift towards a promising and potential biomarker for PCa detection is through metabolomic profiling of biofluids, particularly the blood and urine samples. Finding reliable, routinely usable circulating metabolite biomarkers may not be a distant reality.

methodsWe performed a PubMed-based literature search of metabolite biomarkers in blood and urine for the early detection of prostate cancer. The timeline of these searches was limited between 2007 and 2022 and the following keywords were used: 'metabolomics', 'liquid biopsy', 'circulating metabolites', 'serum metabolite', 'plasma metabolite', and 'urine metabolite' with respect to 'prostate cancer'. We focussed only on diagnosis-based studies with only the subject-relevant articles published in the English language and excluded all of the other irrelevant publications that included prostate tissue biomarkers and cell line biomarkers.

resultsWe have consolidated all the blood and urine-based potential metabolite candidates in individual as well as panels, including lipid classes, fatty acids, amino acids, and volatile organic compounds which may become useful for PCa diagnosis.

conclusionAll these metabolome findings unveil the impact of different dimensions of PCa development, giving a promising strategy to diagnose the disease since suspected individuals can be subjected to repeated and largescale blood and urine testing.

Indexed as

ProstateProstatic NeoplasmsBiomarkersBiomarkers, TumorEarly Detection of CancerHumansLiquid BiopsyMaleBiomarkersBiomarkers, TumorBlood and urineCirculating biomarkersMass spectroscopyMetabolomicsProstate cancer diagnosis

Identifiers

PMID35764700
PMCPMC11796755
OpenAlexW4283662179

What OpenQuestion holds

Textmetadata
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.