Evidence map›Paper›PMID 42325602›Full record

ArticleNeuro-oncology advances

Possible involvement of genome-wide near-haploidy and

Satoru Kida, Takuma Nakashima, Satoshi Baba, Shinichiro Koizumi, Miho Yamashita, Sumihito Nobusawa, Chie Inomoto, Hiroyoshi Kino, Eiichi Ishikawa, Kazuhito Takeuchi and 12 more

Abstract read
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Satoru KidaDepartment of Neurosurgery, Hamamatsu University School of Medicine, Shizuoka, Japan.
Takuma NakashimaDivision of Brain Tumor Translational Research, National Cancer Center Research Institute, Tokyo, Japan.
Satoshi BabaDepartment of Pathology, Hamamatsu University School of Medicine, Shizuoka, Japan.
Shinichiro KoizumiDepartment of Neurosurgery, Hamamatsu University School of Medicine, Shizuoka, Japan.ORCID https://orcid.org/0000-0003-1104-6824
Miho YamashitaDepartment of Endocrinology and Metabolism, Hamamatsu University School of Medicine, Hamamatsu, Japan.
Sumihito NobusawaDepartment of Human Pathology, Gunma University Graduate School of Medicine, Maebashi, Japan.
Chie InomotoDepartment of Pathology, Tokai University School of Medicine, Kanagawa, Japan.
Hiroyoshi KinoDepartment of Neurosurgery, Institute of Medicine, University of Tsukuba, Ibaraki, Japan.
Eiichi IshikawaDepartment of Neurosurgery, Institute of Medicine, University of Tsukuba, Ibaraki, Japan.ORCID https://orcid.org/0000-0001-9224-9767
Kazuhito TakeuchiDepartment of Neurosurgery, Nagoya University Graduate School of Medicine, Aichi, Japan.
Tetsuya NagataniDepartment of Neurosurgery, Japanese Red Cross Aichi Medical Center Nagoya Daini Hospital, Aichi, Japan.
Ryuta SaitoDepartment of Neurosurgery, Nagoya University Graduate School of Medicine, Aichi, Japan.ORCID https://orcid.org/0000-0002-2484-1360
Shingo FujioDepartment of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.ORCID https://orcid.org/0000-0001-8813-5038
Ryosuke HanayaDepartment of Neurosurgery, Graduate School of Medical and Dental Sciences, Kagoshima University, Kagoshima, Japan.ORCID https://orcid.org/0000-0002-4170-4878
Joji IshidaDepartment of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
Shota TanakaDepartment of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
Isao DateDepartment of Neurological Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan.
Yasuyuki KinoshitaDepartment of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Akira TaguchiDepartment of Neurosurgery, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan.
Yoshitaka NaritaDepartment of Neurosurgery and Neuro-Oncology, National Cancer Center Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4303-6006
Hiromichi SuzukiDivision of Brain Tumor Translational Research, National Cancer Center Research Institute, Tokyo, Japan.
Kazuhiko KurozumiDepartment of Neurosurgery, Hamamatsu University School of Medicine, Shizuoka, Japan.ORCID https://orcid.org/0000-0002-6942-9919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pituitary carcinoma is a rare tumor, accounting for 0.12% of pituitary neuroendocrine tumors (PitNETs), that is derived from adenohypophyseal cells with craniospinal or systemic metastasis. While most PitNETs have a benign course, pituitary carcinoma has a poor prognosis, and its underlying molecular mechanism remains unclear. Here, we explored the molecular pathogenesis of pituitary carcinoma using whole exome sequencing (WXS). Methods: Tumor tissue samples were collected from patients diagnosed with pituitary carcinoma from April 2000 to March 2024 through multi-institutional joint research. DNA extraction and WXS were performed on the collected samples, and we analyzed the obtained data. Results: Five samples from four patients were collected (four men, mean age 57.5 years). DNA extraction and WXS were performed on the five samples. Gene mutation analysis revealed Conclusions: This study showed that pituitary carcinoma had genome-wide hypoploidy, that is, genome-wide chromosomal instability and

Indexed as

MEN1near-haploidpituitary carcinomapituitary neuroendocrine tumorwhole exome sequencing

Identifiers

PMID42325602
PMCPMC13278840

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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.