Evidence map›Paper›PMID 38372785›Full record

ReviewJournal of cancer research and clinical oncology2024

Current look at the most promising proteomic and glycomic biomarkers of bladder cancer.

Stefan Harsanyi, Kristina Kianickova, Jaroslav Katrlik, Lubos Danisovic, Stanislav Ziaran

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.0field-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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
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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

5 authors at 2 institutions in 1 country.

Stefan HarsanyiInstitute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, Bratislava, Slovakia. stefan.harsanyi@fmed.uniba.sk.
Kristina KianickovaInstitute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovakia.
Jaroslav KatrlikInstitute of Chemistry, Slovak Academy of Sciences, Bratislava, Slovakia.
Lubos DanisovicInstitute of Medical Biology, Genetics and Clinical Genetics, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
Stanislav ZiaranDepartment of Urology, Faculty of Medicine, Comenius University, Bratislava, Slovakia.
Comenius University Bratislava · SKSlovak Academy of Sciences · SK

Funding

Operational Programme Integrated Infrastructure 313021BUZ3
6 · The paper itself

Abstract

backgroundBladder cancer (BC) belongs to the most frequent cancer types. The diagnostic process is still long and costly, with a high percentage of false-positive or -negative results. Due to the cost and lack of effectiveness, older methods need to be supplemented or replaced by a newer more reliable method. In this regard, proteins and glycoproteins pose high potential.

methodsWe performed an online search in PubMed/Medline, Scopus, and Web of Science databases to find relevant studies published in English up until May 2023. If applicable, we set the AUC threshold to 0.90 and sensitivity/specificity (SN/SP) to 90%.

findingsProtein and glycoprotein biomarkers are a demonstrably viable option in BC diagnostics. Cholinesterase shows promise in progression-free survival. BLCA-4, ORM-1 along with HTRA1 in the detection of BC. Matrix metallopeptidase 9 exhibits potential for stratification of muscle-invasive subtypes with high negative predictive value for aggressive phenotypes. Distinguishing non-muscle invasive subtypes benefits from Keratin 17. Neu5Gc-modified UMOD glycoproteins pose potential in BC diagnosis, while fibronectin, laminin-5, collagen type IV, and lamprey immunity protein in early detection of BC.

Indexed as

GlycomicsUrinary Bladder NeoplasmsBiomarkersBiomarkers, TumorHumansNeoplasm ProteinsNuclear ProteinsPhenotypeProteomicsBiomarkersBiomarkers, TumorBLCA-4 protein, humanNeoplasm ProteinsNuclear ProteinsBiomarkersBladder cancerDiagnosticsGlycoproteinProtein

Identifiers

PMID38372785
PMCPMC10876723
OpenAlexW4391943777

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.