Evidence map›Paper›PMID 31073639›Full record

ReviewDer Pathologe2019

[Predictive biomarkers in oncologic uropathology].

H Reis, T Szarvas, V Grünwald

Abstract readReview
PubMed Publisher
In one paragraph

Review in Der Pathologe, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Review
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 at 1 institution in 2 countries.

H ReisInstitut für Pathologie, Westdeutsches Tumorzentrum Essen, Universitätsmedizin Essen, Universität Duisburg-Essen, Hufelandstr. 55, 45147, Essen, Deutschland. Henning.Reis@uk-essen.de.
T SzarvasKlinik für Urologie, Westdeutsches Tumorzentrum Essen, Universitätsmedizin Essen, Universität Duisburg-Essen, Essen, Deutschland.
V GrünwaldInterdisziplinäre Uroonkologie des Westdeutschen Tumorzentrums Essen, Klinik für Urologie, Innere Medizin (Tumorforschung), Universitätsmedizin Essen, Universität Duisburg-Essen, Essen, Deutschland.
University of Duisburg-Essen · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumors of the genitourinary system are common. In recent years, our understanding of their molecular background and therefore the number of potential predictive biomarkers has massively increased.

objectivesThe aim of the current work is to give an overview of recent (molecular) developments and predictive biomarkers in urologic oncology and to give a perspective of what might become relevant in the future of the field. MATERIAL AND

methodsWe considered the recent literature and study data and combined it with our own expertise in tumors of the urinary system, kidneys, and prostate. RESULTS AND

conclusionsThe molecular subtypes of muscle-invasive urothelial bladder cancer (MIBC) hold a predictive and prognostic significance and correlate with clinicopathological features. Immune therapy with checkpoint inhibitors (CPI) has a major role in urothelial carcinoma (UC), but also in renal cell carcinoma and a subgroup of prostate cancers. The first-line use in UC is restricted to PD-L1-"positive" cases (≥IC2/3, CPS ≥ 10). Further predictive markers are currently under evaluation, while the predictive significance of tumor mutational burden (TMB) is under debate. In addition to a subgroup of renal cell carcinomas, a subgroup of prostate carcinomas with alterations in the DNA repair system might benefit from a customized therapy approach (PARP inhibitors, platin-containing chemotherapy). The multitude of potentially therapy-relevant molecular alterations and related predictive biomarkers calls for the implementation of sophisticated molecular analyses in daily routine. This will lead to an even more rapid dynamic in the field of genitourinary pathology.

Indexed as

Urinary Bladder NeoplasmsUrologic NeoplasmsBiomarkersBiomarkers, TumorCarcinoma, Transitional CellHumansMalePrognosisBiomarkersBiomarkers, TumorBiomarkerBladder cancerImmune therapyProstate cancerRenal cancer

Identifiers

PMID31073639
OpenAlexW2944439184

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.