Evidence map›Paper›PMID 26729098›Full record

ReviewInternational journal of molecular sciences2015

Bladder Cancer Stem-Like Cells: Their Origin and Therapeutic Perspectives.

Tomokazu Ohishi, Fumitaka Koga, Toshiro Migita

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

27 citing papers in PubMed, 59 citations in OpenAlex.

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  5. Prognostic features of bladder cancer based on five neddylation-related genes.American journal of clinical and experimental urology · 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

3 authors at 3 institutions in 1 country.

Tomokazu OhishiInstitute of Microbial Chemistry (BIKAKEN), Numazu, 18-24 Miyamoto, Numazu-shi, Shizuoka 410-0301, Japan. ohishit@bikaken.or.jp.
Fumitaka KogaDepartment of Urology, Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo 113-8677, Japan. f-koga@cick.jp.
Toshiro MigitaDivision of Molecular Biotherapy, Japanese Foundation for Cancer Research, 3-8-31 Ariake, Koto-ku, Tokyo 135-8550, Japan. toshiro.migita@jfcr.or.jp.
Kashiwa Municipal Hospital · JPMicrobial Chemistry Research Foundation · JPTokyo Metropolitan Komagome Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer (BC), the most common cancer arising from the human urinary tract, consists of two major clinicopathological phenotypes: muscle-invasive bladder cancer (MIBC) and non-muscle-invasive bladder cancer (NMIBC). MIBC frequently metastasizes and is associated with an unfavorable prognosis. A certain proportion of patients with metastatic BC can achieve a remission with systemic chemotherapy; however, the disease relapses in most cases. Evidence suggests that MIBC comprises a small population of cancer stem cells (CSCs), which may be resistant to these treatments and may be able to form new tumors in the bladder or other organs. Therefore, the unambiguous identification of bladder CSCs and the development of targeted therapies are urgently needed. Nevertheless, it remains unclear where bladder CSCs originate and how they are generated. We review recent studies on bladder CSCs, specifically focusing on their proposed origin and the possible therapeutic options based on the CSC theory.

Indexed as

Neoplasm InvasivenessNeoplasm Recurrence, LocalNeoplastic Stem CellsUrinary BladderUrinary Bladder Neoplasmsbladder cancercancer stem cell

Identifiers

PMID26729098
PMCPMC4730288
OpenAlexW2206910284

What OpenQuestion holds

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LicenceCC BY
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.