Evidence map›Paper›PMID 40013766›Full record

ArticleHistology and histopathology2025

Genomic features of bladder neuroendocrine carcinoma with composite histology.

Akihiro Ohmoto, Keiichiro Kitahama, Yasuyuki Shigematsu, Naomi Hayashi, Junji Yonese, Kentaro Inamura, Shunji Takahashi

Abstract read
PubMed Publisher
In one paragraph

Article in Histology and histopathology, 2025. 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
–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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Akihiro OhmotoDepartment of Medical Oncology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan. aohmoto15@gmail.com.
Keiichiro KitahamaDepartment of Pathology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Yasuyuki ShigematsuDepartment of Pathology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Naomi HayashiDepartment of Genomic Medicine, Cancer Institute of Japanese Foundation for Cancer Research, Tokyo, Japan.
Junji YoneseDepartment of Genitourinary Oncology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Kentaro InamuraDepartment of Pathology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan.
Shunji TakahashiDepartment of Medical Oncology, Cancer Institute Hospital of Japanese Foundation for Cancer Research, Tokyo, Japan. s.takahashi-chemotherapy@jfcr.or.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroendocrine carcinoma (NEC) is a rare and aggressive malignancy derived from multiple body parts, with the urogenital organs being the second-largest extrapulmonary sites. The detailed mechanism of bladder NEC pathogenesis remains unknown. We reviewed data from 23 patients diagnosed with NEC from urogenital organs (bladder and prostate) and conducted targeted sequencing of 523 cancer-related genes, focusing on bladder NEC. While 14 cases featured a pure NEC histology, the remaining nine cases included NEC histology mixed with other tumors, such as urothelial carcinoma (UC) or adenocarcinoma. Median overall survival in the entire cohort was 11.1 months, and survival curves were comparable between pure NEC and NEC of mixed appearance. Major mutations detected in the NEC component were in

Indexed as

Biomarkers, TumorCarcinoma, NeuroendocrineUrinary Bladder NeoplasmsAdultAgedAged, 80 and overFemaleGenomicsHumansMaleMiddle AgedMutationBiomarkers, Tumor

Identifiers

PMID40013766

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.