Evidence map›Paper›PMID 35437049›Full record

ArticleThe journal of histochemistry and cytochemistry : official journal of the Histochemistry Society2022

Immunohistochemical Assays for Bladder Cancer Molecular Subtyping: Optimizing Parsimony and Performance of Lund Taxonomy Classifiers.

Céline S C Hardy, Hamid Ghaedi, Ava Slotman, Gottfrid Sjödahl, Robert J Gooding, David M Berman, Chelsea L Jackson

Open access · hybridAbstract read
In one paragraph

Article in The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society, 2022. 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
3.1field-weighted citation impact, top 8% 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, 15 citations in OpenAlex.

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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

7 authors at 1 institution in 2 countries.

Céline S C HardyDivision of Cancer Biology and Genetics, Queen's Cancer Research Institute.
Hamid GhaediDivision of Cancer Biology and Genetics, Queen's Cancer Research Institute.ORCID 0000-0002-5034-0586
Ava SlotmanDivision of Cancer Biology and Genetics, Queen's Cancer Research Institute.
Gottfrid SjödahlQueen's University, Kingston, Canada; and Division of Urologic Research, Department of Translational Medicine, Lund University, Lund, Sweden.
Robert J GoodingDivision of Cancer Biology and Genetics, Queen's Cancer Research Institute.
David M BermanDivision of Cancer Biology and Genetics, Queen's Cancer Research Institute.ORCID 0000-0001-5985-3698
Chelsea L JacksonDivision of Cancer Biology and Genetics, Queen's Cancer Research Institute.ORCID 0000-0002-6784-5978
Lund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptomic and proteomic profiling classify bladder cancers into luminal and basal molecular subtypes, with controversial prognostic and predictive associations. The complexity of published subtyping algorithms is a major impediment to understanding their biology and validating or refuting their clinical use. Here, we optimize and validate compact algorithms based on the Lund taxonomy, which separates luminal subtypes into urothelial-like (Uro) and genomically unstable (GU). We characterized immunohistochemical expression data from two muscle-invasive bladder cancer cohorts (

Indexed as

Urinary Bladder NeoplasmsBiomarkers, TumorFemaleHumansImmunohistochemistryMalePrognosisProteomicsBiomarkers, TumorCDKN2AhistopathologyLundTaxurothelial carcinoma

Identifiers

PMID35437049
PMCPMC9058369
OpenAlexW4224281565

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.