Evidence map›Paper›PMID 27896485›Full record

ReviewInternational journal of clinical oncology2017

Biomarkers for precision medicine in bladder cancer.

Takahiro Kojima, Koji Kawai, Jun Miyazaki, Hiroyuki Nishiyama

Abstract readReview
PubMed Publisher
In one paragraph

Review in International journal of clinical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Takahiro KojimaDepartment of Urology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Koji KawaiDepartment of Urology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Jun MiyazakiDepartment of Urology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Hiroyuki NishiyamaDepartment of Urology, Faculty of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan. nishiuro@md.tsukuba.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer (BC) is classified as non-muscle-invasive BC (NMIBC) or muscle-invasive BC (MIBC). Because the recurrence and mortality rates of BC are high, suitable biomarkers for early detection, evaluation of prognosis, and surveillance of drug responses are needed. Urinary markers simplify surveillance schedules and improve early detection of tumors, especially in NMIBC. Various markers have been identified at DNA, RNA, and protein levels with different sensitivities and specificities. Several biomarkers show a higher sensitivity than urinary cytology, but they are not accurate enough to replace it. In terms of prediction of clinical outcome and treatment response of BC, conventional clinical and pathological parameters are widely used, but the predictive ability of these parameters is limited; therefore, molecular biomarkers in this field are strongly desired. Molecular profiling using fluid and tissue is becoming more feasible with recent developments in next-generation sequencing technologies. Currently, these profiling methods are beginning to be used for early detection, prediction of prognosis, and drug sensitivity. Furthermore, several groups used transcriptome profiling to classify MIBC into various distinct subtypes, showing distinct clinical behaviors and responses to chemotherapy and immune checkpoint inhibitors. The aim of this review is to provide a summary of the most relevant biomarkers that have been investigated as diagnostic and prognostic indicators of BC.

Indexed as

Precision MedicineBiomarkers, TumorHumansPrognosisUrinary Bladder NeoplasmsBiomarkers, TumorBiomarkerBladder cancerPrecision medicine

Identifiers

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.