Evidence map›Paper›PMID 37965425›Full record

ArticleJID innovations : skin science from molecules to population health2023

Strategic Approach to Heterogeneity Analysis of Cutaneous Adnexal Carcinomas Using Computational Pathology and Genomics.

Yuuki Nishimura, Eijitsu Ryo, Satoshi Inoue, Masahito Kawazu, Toshihide Ueno, Kenjiro Namikawa, Akira Takahashi, Dai Ogata, Akihiko Yoshida, Naoya Yamazaki and 3 more

Open access · goldAbstract read
In one paragraph

Article in JID innovations : skin science from molecules to population health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

13 authors at 2 institutions in 1 country.

Yuuki NishimuraDepartment of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan.
Eijitsu RyoDivision of Molecular Pathology, National Cancer Center Reserch Institute, Tokyo, Japan.
Satoshi InoueDivision of Cellular Signaling, National Cancer Center Reserch Institute, Tokyo, Japan.
Masahito KawazuDivision of Cellular Signaling, National Cancer Center Reserch Institute, Tokyo, Japan.
Toshihide UenoDivision of Cellular Signaling, National Cancer Center Reserch Institute, Tokyo, Japan.
Kenjiro NamikawaDermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Akira TakahashiDermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Dai OgataDermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Akihiko YoshidaDepartment of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan.
Naoya YamazakiDermatologic Oncology, National Cancer Center Hospital, Tokyo, Japan.
Hiroyuki ManoDivision of Cellular Signaling, National Cancer Center Reserch Institute, Tokyo, Japan.
Yasushi YatabeDepartment of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan.
Taisuke MoriDepartment of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan.
Juntendo University · JPTokyo National Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cutaneous adnexal tumors are neoplasms that arise from skin appendages. Their morphologic diversity and phenotypic variability with rare progression to malignancy make them difficult to diagnose and classify, and there is currently no established treatment strategy. To overcome these difficulties, this study investigated the transcription factor SOX9 expression, morphology, and genetics of skin adnexal tumors for understanding their biology, especially their histogenesis. We showed that cutaneous adnexal tumors and their nontumor counterparts of skin and appendages exhibit expression patterns similar to that of SOX9. Its expression intensity and pattern, as well as histopathologic evaluation of tumors, were analyzed using digital images of 69 normal skin adnexal 9-type organs and 185 skin adnexal 29-type tumors as references. It was possible to distinguish basal cell carcinoma from squamous cell carcinoma, sebaceous carcinoma, and pilomatrixoma with significant differences, along with porocarcinoma from squamous cell carcinoma. Furthermore, unsupervised machine learning "computational pathology" was used to derive a multiregion whole-exome sequencing fusion method termed "genocomputed pathology." The genocomputed pathology of three representable adnexal carcinomas (porocarcinoma, hidradenocarcinoma, and spiradenocarcinoma) was evaluated for total nine cases. We showed that there was more heterogeneity than expected within the tumors as well as the coexistence of components lacking driver fusion genes. The presence or absence of potential driver genes, such as

Identifiers

PMID37965425
PMCPMC10641284
OpenAlexW4386579487

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.