Evidence map›Paper›PMID 32132102›Full record

ReviewESMO open2020

Precision oncology in urothelial cancer.

Elizabeth Liow, Ben Tran

Open access · goldAbstract readReview
In one paragraph

Review in ESMO open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Germline whole-exome sequencing revealsJournal for immunotherapy of cancer · 2025
    Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Existing trends and applications of artificial intelligence in urothelial cancer A scoping review.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2023
    Article
  8. Article
  9. 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

2 authors at 1 institution in 1 country.

Elizabeth LiowPersonalised Oncology Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia.
Ben TranPersonalised Oncology Division, Walter and Eliza Hall Institute of Medical Research, Melbourne, Victoria, Australia; Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia. Electronic address: Ben.Tran@petermac.org.
Walter and Eliza Hall Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomics-driven, precision medicine has been adopted in virtually every tumour type and underlies the significant advances in cancer management to date. The paradigm shift from the indiscriminate use of chemotherapeutics, to strategies that harness our mechanistic knowledge of cancer biology has led to profound clinical benefit for patients, and will continue to mould present and future treatment approaches. In the realm of urothelial cancer, the present status of precision medicine includes a rich landscape that encompasses molecularly-matched therapy, predictive biomarkers that could help inform response to chemotherapy and immunotherapy, as well as novel strategies such as antibody drug conjugates that exploit the use of target proteins for enhanced tumour killing. Here, we present an overview on these clinically-impactful discoveries in urothelial cancer, discuss the limitations and challenges in the implementation of precision oncology, and offer our vision for its future.

Indexed as

Carcinoma, Transitional CellUrinary Bladder NeoplasmsGenomicsHumansMedical OncologyPrecision Medicineneoadjuvant chemotherapyprecision oncologyprognostic markerstargeted therapyurothelial carcinoma

Identifiers

PMID32132102
PMCPMC7059486
OpenAlexW3010019567

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.