Evidence map›Paper›PMID 40459834›Full record

ArticleDiscover oncology2025

Cytological features of invasive stratified mucin-producing carcinoma of the uterine cervix and literature review.

AnChun Liu, MaiQing Yang, Hao Zou, XiaoLin Gong, Tao Cao, LongYun Wu, Li Ge

Abstract read
In one paragraph

Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

7 authors.

AnChun LiuDepartment of Pathology, Yueyang Central Hospital, No. 39 Dongmaoling Road, Yueyang, 414000, Hunan, People's Republic of China.
MaiQing YangDepartment of Pathology, Weifang People's Hospital (First Affiliated Hospital of Shandong Second Medical University), No.151, Guangwen Street, Kuiwen District, Weifang, 261041, Shandong, People's Republic of China.
Hao ZouDepartment of Radiotherapy, Yueyang Hospital of Traditional Chinese Medicine, Yueyang, Hunan, China.
XiaoLin GongDepartment of Pathology, Yueyang Central Hospital, No. 39 Dongmaoling Road, Yueyang, 414000, Hunan, People's Republic of China.
Tao CaoDepartment of Pathology, Yueyang Central Hospital, No. 39 Dongmaoling Road, Yueyang, 414000, Hunan, People's Republic of China.
LongYun WuDepartment of Pathology, Yueyang Central Hospital, No. 39 Dongmaoling Road, Yueyang, 414000, Hunan, People's Republic of China. 117778482@qq.com.
Li GeDepartment of Pathology, Weifang People's Hospital (First Affiliated Hospital of Shandong Second Medical University), No.151, Guangwen Street, Kuiwen District, Weifang, 261041, Shandong, People's Republic of China. gelibelieve@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Invasive stratified mucin-producing carcinoma (ISMC) is a rare type of cervical adenocarcinoma associated with human papillomavirus (HPV). Stratified mucin-producing intraepithelial lesion (SMILE) is an in situ glandular lesion of ISMC. Such lesions have been reported in histology, but cytologic features of ISMC and SMILE are rarely reported in previous cervical cytology. Herein, we report a case of ISMC combined with usual-type endocervical adenocarcinoma (UEA). Cytologically, most cells showed morphological features of UEA cells. Another small portion of the cells was arranged in layers or scattered individually, with rich mucin in the cytoplasm and stained light pink. The nuclei of the cells were crowded and atypical, with hyperchromasia. This study aimed to discuss the cytological features of ISMC or SMILE and emphasize that abnormal mucinous epithelial cells in HPV-positive patients should be carefully observed to avoid misdiagnosis of ISMC or SMILE.

Indexed as

CervixCytologyInvasive stratified mucin-producing carcinoma (ISMC)Stratified mucin-producing intraepithelial lesion (SMILE)Usual-type endocervical adenocarcinoma

Identifiers

PMID40459834
PMCPMC12133665

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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.