Clinicopathological and Molecular Differences Between Gastric-type Mucinous Carcinoma and Usual-type Endocervical Adenocarcinoma of the Uterine Cervix.


Journal

Cancer genomics & proteomics
ISSN: 1790-6245
Titre abrégé: Cancer Genomics Proteomics
Pays: Greece
ID NLM: 101188791

Informations de publication

Date de publication:
Historique:
received: 05 05 2020
revised: 23 05 2020
accepted: 22 06 2020
entrez: 30 8 2020
pubmed: 30 8 2020
medline: 6 5 2021
Statut: ppublish

Résumé

We investigated differences in the clinicopathological and molecular characteristics between gastric-type mucinous carcinoma (GMC) and usual-type endocervical adenocarcinoma (UEA). We collected the clinicopathological information and performed targeted genomic sequencing analysis. GMCs exhibited significantly deeper invasion depth, larger horizontal spread, more advanced stage, more frequent distant metastasis, and more frequent parametrial and vaginal extension. Disease-free survival time of GMC patients was significantly shorter than that of UEA patients. GMCs displayed mutant p53 immunostaining pattern, whereas UEAs exhibited p16 block positivity. GMCs harbored mutations in KRAS, TP53, NF1, CDKN2A, STK11, and ARID1A. One GMC exhibited MDM2 amplification. In contrast, UEAs harbored mutations in HRAS, PIK3CA, and BRCA2. Two UEAs were found to have novel TP53 mutations. GMC is associated with more aggressive behavior than UEA. Distinctive p53 and p16 immunostaining patterns enable differential diagnosis. GMC and UEA exhibit genetic heterogeneity with potentially actionable molecular alterations.

Sections du résumé

BACKGROUND/AIM OBJECTIVE
We investigated differences in the clinicopathological and molecular characteristics between gastric-type mucinous carcinoma (GMC) and usual-type endocervical adenocarcinoma (UEA).
PATIENTS AND METHODS METHODS
We collected the clinicopathological information and performed targeted genomic sequencing analysis.
RESULTS RESULTS
GMCs exhibited significantly deeper invasion depth, larger horizontal spread, more advanced stage, more frequent distant metastasis, and more frequent parametrial and vaginal extension. Disease-free survival time of GMC patients was significantly shorter than that of UEA patients. GMCs displayed mutant p53 immunostaining pattern, whereas UEAs exhibited p16 block positivity. GMCs harbored mutations in KRAS, TP53, NF1, CDKN2A, STK11, and ARID1A. One GMC exhibited MDM2 amplification. In contrast, UEAs harbored mutations in HRAS, PIK3CA, and BRCA2. Two UEAs were found to have novel TP53 mutations.
CONCLUSION CONCLUSIONS
GMC is associated with more aggressive behavior than UEA. Distinctive p53 and p16 immunostaining patterns enable differential diagnosis. GMC and UEA exhibit genetic heterogeneity with potentially actionable molecular alterations.

Identifiants

pubmed: 32859641
pii: 17/5/627
doi: 10.21873/cgp.20219
pmc: PMC7472441
doi:

Substances chimiques

Biomarkers, Tumor 0
CDKN2A protein, human 0
Cyclin-Dependent Kinase Inhibitor p16 0
TP53 protein, human 0
Tumor Suppressor Protein p53 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

627-641

Informations de copyright

Copyright© 2020, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.

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Auteurs

Hera Jung (H)

Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
Department of Pathology, CHA Ilsan Women's and Children's General Hospital, CHA University, Goyang, Republic of Korea.

Go Eun Bae (GE)

Department of Pathology, Chungnam National University Hospital, Chungnam National University School of Medicine, Daejeon, Republic of Korea.

Hye Min Kim (HM)

Department of Pathology, Yonsei University College of Medicine, Seoul, Republic of Korea hyun-soo.kim@samsung.com pinkmin15@yuhs.ac.

Hyun-Soo Kim (HS)

Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea hyun-soo.kim@samsung.com pinkmin15@yuhs.ac.

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Classifications MeSH