Evidence map›Paper›PMID 37405212›Full record

ArticleCancer diagnosis & prognosis

Endometrioid Carcinoma of the Uterine Corpus With a Micropapillary Component: A Novel Prognostic Factor For Metastasis.

Kunio Mochizuki, Keisuke Oyama, Kota Tanaka, Hiroko Fukasawa, Tetsuo Kondo

Abstract read
In one paragraph

Article in Cancer diagnosis & prognosis. 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
–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

1 citing paper in PubMed.

  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

5 authors.

Kunio MochizukiDepartment of Pathology, University of Yamanashi, Yamanashi, Japan.
Keisuke OyamaDepartment of Gynecology and Obstetrics, University of Yamanashi, Yamanashi, Japan.
Kota TanakaDepartment of Gynecology and Obstetrics, University of Yamanashi, Yamanashi, Japan.
Hiroko FukasawaDepartment of Gynecology and Obstetrics, University of Yamanashi, Yamanashi, Japan.
Tetsuo KondoDepartment of Pathology, University of Yamanashi, Yamanashi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimMicropapillary pattern is a morphologically distinctive form of carcinoma composed of small, hollow, or morula-like clusters of cancer cells surrounded by clear stromal spaces. The neoplastic cells characteristically display a reverse polarity, also known as an ''inside-out'' growth pattern, that is linked to higher frequencies of lymphovascular invasion and lymph nodal metastasis. To the best of our knowledge, it has not been previously recognized in uterine corpus. CASE REPORT: We report 2 cases of endometrioid carcinoma of the uterine corpus with a micropapillary component. In these cases, histological examination identified an endometrioid carcinoma that had invaded the myometrial layer. The carcinoma cells that constructed the micropapillary components were immunohistochemically positive for EMA. They lined the stromal facing surface of the cell membrane, confirming the inside-out growth pattern, and D2-40 immunohistochemistry confirmed lymphovascular invasion of carcinoma cells.

conclusionWe believe that the micropapillary pattern linked to higher frequencies of lymphovascular invasion and lymph nodal metastasis may be one of the most important invasive patterns in endometrioid carcinomas of the uterine corpus for predicting aggressive malignant potential, prognosis, and recurrence, although further, larger studies are required to evaluate its clinical significance.

Indexed as

endometrioid carcinomaMicropapillaryuterine corpus

Identifiers

PMID37405212
PMCPMC10316046

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.