Evidence map›Paper›PMID 24199183›Full record

ArticleResearch and reports in urology2012

Molecular grading of tumors of the upper urothelial tract using FGFR3 mutation status identifies patients with favorable prognosis.

Stephen R Lyle, Chung-Cheng Hsieh, Cecilia A Fernandez, Anthony P Shuber

Open access · goldAbstract read
In one paragraph

Article in Research and reports in urology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Journal of clinical medicine · 2024
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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

4 authors at 2 institutions in 1 country.

Stephen R LyleUniversity of Massachusetts, Worcester, MA, USA.
Chung-Cheng Hsieh
Cecilia A Fernandez
Anthony P Shuber
Predictive Science (United States) · USUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMutations in FGFR3 have been shown to occur in tumors of the upper urothelial tract and may be indicative of a good prognosis. In bladder tumors, the combination of FGFR3 mutation status and Ki-67 level has been used to define a tumor's molecular grade and predict survival. Pathological evaluation of upper urothelial tumors is currently the best predictor of prognosis, but suffers from variability in pathological assessments. This study investigated the association with prognosis of FGFR3 mutations alone and in combination with Ki-67 in this patient population.

methodsGenomic DNA was isolated from tumor samples of 80 patients with upper urothelial cancer. The presence of mutation in FGFR3 was evaluated using real-time polymerase chain reaction. Ki-67 protein expression was determined by immunohistochemistry. Kaplan-Meier survival analysis evaluated the relationship of FGFR3 mutations and Ki-67 levels with survival.

resultsFGFR3 mutations were identified in 40% of tumors and were predominantly associated with noninvasive tumors. Overall survival was higher in patients with FGFR3 mutant tumors (P = 0.02) and in molecular grade 1 tumors as determined by FGFR3 and Ki-67 (P = 0.02).

conclusionIn this study, we confirm the occurrence of FGFR3 mutations in tumors of the upper urothelial tract and its association with a good prognosis. Both FGFR3 and molecular grading are predictors of overall survival. Molecular grading can help to assess the prognosis of patients with upper urinary tract cancer and may represent a new tool for managing this population of patients.

Indexed as

Ki-67renal pelvissurvivalupper tractureterurothelial carcinoma

Identifiers

PMID24199183
PMCPMC3806446
OpenAlexW2106318013

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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.