Evidence map›Paper›PMID 42058400›Full record

ArticleUrology case reports2026

Solitary renal metastasis from salivary epithelial-myoepithelial carcinoma mimicking renal cell carcinoma: A case report of robot-assisted partial nephrectomy.

Sayo Daidoji, Eri Fukagawa, Shinji Ito, Yu Yamaguchi, Kensuke Suzuki, Shu Nakasuka, Michinori Shimizu, Makoto Tanaka, Kazuki Honda, Suguru Oka and 2 more

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Urology case reports, 2026. 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

12 authors.

Sayo DaidojiDepartment of Urology, Toranomon Hospital, Tokyo, Japan.
Eri FukagawaDepartment of Urology, Toranomon Hospital, Tokyo, Japan.
Shinji ItoDepartment of Pathology, Toranomon Hospital, Tokyo, Japan.
Yu YamaguchiDepartment of Medical Oncology, Toranomon Hospital, Tokyo, Japan.
Kensuke SuzukiDepartment of Urology, Toranomon Hospital, Tokyo, Japan.
Shu NakasukaDepartment of Urology, Toranomon Hospital, Tokyo, Japan.
Michinori ShimizuDepartment of Urology, Toranomon Hospital, Tokyo, Japan.
Makoto TanakaDepartment of Urology, Toranomon Hospital, Tokyo, Japan.
Kazuki HondaDepartment of Urology, Toranomon Hospital, Tokyo, Japan.
Suguru OkaDepartment of Urology, Toranomon Hospital, Tokyo, Japan.
Kazushige SakaguchiDepartment of Urology, Toranomon Hospital, Tokyo, Japan.
Shinji UrakamiDepartment of Urology, Toranomon Hospital, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal metastasis from salivary epithelial-myoepithelial carcinoma (EMC) is exceptionally uncommon. A 74-year-old woman with parotid EMC had previously undergone two pulmonary metastasectomies. A 27-mm mass was detected in the upper pole of the left kidney 14 years after initial parotidectomy. Contrast-enhanced computed tomography demonstrated mild enhancement without washout, indicating non-clear cell renal cell carcinoma or metastatic disease. Robot-assisted partial nephrectomy was performed, and histopathology confirmed metastatic EMC with biphasic atypical tubules composed of CK7-positive luminal epithelial components and p63-positive myoepithelial components. This case highlights diagnostic challenges and the need to consider late metastasis after prolonged disease-free intervals.

Indexed as

Epithelial–myoepithelial carcinomaNephrectomyParotid neoplasmsSecondary kidney neoplasms

Identifiers

PMID42058400
PMCPMC13122198

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.