Evidence map›Paper›PMID 36204983›Full record

ArticleCancer medicine2023

Predictive value of molecular subtypes and APOBEC3G for adjuvant chemotherapy in urothelial bladder cancer.

Csilla Olah, Henning Reis, Michèle J Hoffmann, Fabian Mairinger, Saskia Ting, Boris Hadaschik, Ulrich Krafft, Viktor Grünwald, Peter Nyirady, Melinda Varadi and 5 more

Open access · goldFull text read
In one paragraph

Article in Cancer medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.8field-weighted citation impact, top 9% 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, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  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

15 authors at 5 institutions in 3 countries.

Csilla OlahDepartment of Urology, University of Duisburg-Essen, Essen, Germany.ORCID 0000-0002-4775-2432
Henning ReisDr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt am Main, Germany.
Michèle J HoffmannDepartment of Urology, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany.
Fabian MairingerInstitute of Pathology, University Medicine Essen, University of Duisburg-Essen, Essen, Germany.
Saskia TingInstitute of Pathology, University Medicine Essen, University of Duisburg-Essen, Essen, Germany.
Boris HadaschikDepartment of Urology, University of Duisburg-Essen, Essen, Germany.
Ulrich KrafftDepartment of Urology, University of Duisburg-Essen, Essen, Germany.
Viktor GrünwaldDepartment of Medical Oncology, University of Duisburg-Essen, Essen, Germany.
Peter NyiradyDepartment of Urology, Semmelweis University, Budapest, Hungary.
Melinda VaradiDepartment of Urology, Semmelweis University, Budapest, Hungary.ORCID 0000-0001-7733-0831
Balázs GyőrffyResearch Centre for Natural Sciences, Cancer Biomarker Research Group, Institute of Enzymology, Budapest, Hungary.
Andras Kiss2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
Eszter Szekely2nd Department of Pathology, Semmelweis University, Budapest, Hungary.
Gottfrid SjödahlDepartment of Translational Medicine, Lund University, Lund, Sweden.ORCID 0000-0002-7869-0473
Tibor SzarvasDepartment of Urology, University of Duisburg-Essen, Essen, Germany.
Semmelweis University · HUUniversity of Duisburg-Essen · DEDüsseldorf University Hospital · DEGoethe University Frankfurt · DELund University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAlthough targeted approaches have become available in second- and third-line settings, platinum-based chemotherapy remains the standard first-line treatment for advanced muscle-invasive bladder cancer (MIBC). Therefore, the prediction of platinum resistance is of utmost clinical importance.

methodsIn this study, we established a routine compatible method for the molecular classification of MIBC samples according to various classification systems and applied this method to evaluate the impact of subtypes on survival after adjuvant chemotherapy. This retrospective study included 191 patients with advanced MIBC (pT≥3 or pN+) who underwent radical cystectomy, with or without adjuvant chemotherapy. A 48-gene panel and classifier rule set were established to determine molecular subtypes according to TCGA, MDA, LundTax, and Consensus classifications. Additionally, 12 single platinum-predictive candidate genes were assessed. The results were correlated with patients' clinicopathological and follow-up data and were validated using independent data sets.

resultsOur final evaluation of 159 patients demonstrated better survival in the luminal groups for those who received chemotherapy compared with those who did not. In contrast, no such differences were observed in basal subtypes. The use of chemotherapy was associated with better survival in patients with high APOBEC3G expression (p < 0.002). This association was confirmed using an independent data set of patients who received neoadjuvant platinum therapy.

conclusionsThe proposed method robustly replicates the most commonly used transcriptome-based subtype classifications from paraffin-embedded tissue samples. The luminal, but not basal, molecular subtypes had the greatest benefit from adjuvant platinum therapy. We identified and validated APOBEC3G as a novel predictive marker for platinum-treated patients.

Indexed as

Carcinoma, Transitional CellUrinary Bladder NeoplasmsAPOBEC-3G DeaminaseChemotherapy, AdjuvantCisplatinHumansRetrospective StudiesAPOBEC-3G DeaminaseAPOBEC3G protein, humanCisplatinAPOBEC3Gbladder cancercisplatinmolecular subtype classification

Identifiers

PMID36204983
PMCPMC10028049
OpenAlexW4303199844

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read21
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.