Literature DB >> 31140099

Clinical significance of the pattern-based classification in endocervical adenocarcinoma, usual and variants.

Jung Mi Byun1,2, Hwa Jin Cho3, Ha Young Park4, Young Nam Kim1,2, Kyung Bok Lee1,2, Moon Su Sung1,2, Chul Hoi Jeong5, Dae Hoon Jeong6,7.   

Abstract

BACKGROUND: The Silva system is a pattern-based classification system that stratifies endocervical adenocarcinomas (AC) into 3 categories to assess the risk of lymph node (LN) metastasis. This study aimed to evaluate whether this novel risk stratification system is applicable to all endocervical AC, including usual and variant, and to suggest a suitable management plan for cervical AC.
METHODS: We retrospectively retrieved consecutive pathology cases with a final diagnosis of endocervical AC treated via radical hysterectomy and pelvic lymphadenectomy. Specimens were classified by consensus according to the Silva system based on "pattern of invasion" as A, B, or C, further clinical/pathologic features were assessed according to pattern-based classification.
RESULTS: A total of 76 cases of invasive cervical AC were evaluated. Of these, 63 (82.9%) were categorized as usual-type endocervical AC and 13 (17.1%) as special types. Among those with usual and variants, all patients with pattern A tumor had no LN metastasis and did not develop recurrence. Likewise, multivariate analysis revealed that LN metastasis and pattern C or B tumors are significant independent predictors of disease-free survival (DFS). Although pattern A tumors had no LN metastasis, they also developed complications after surgery, similar to pattern B or C tumors.
CONCLUSION: Regardless of histologic subtypes, pattern A tumors had no LN metastasis and no recurrence. Thus, the Silva classification system can influence the clinical management of all types of endocervical AC. Conservative management is reasonable in all patients with endocervical AC with pattern A tumors.

Entities:  

Keywords:  Endocervical adenocarcinoma; Management; Pattern-based classification

Mesh:

Year:  2019        PMID: 31140099     DOI: 10.1007/s10147-019-01472-4

Source DB:  PubMed          Journal:  Int J Clin Oncol        ISSN: 1341-9625            Impact factor:   3.402


  3 in total

1.  Online Training and Self-assessment in the Histopathologic Classification of Endocervical Adenocarcinoma and Diagnosis of Pattern of Invasion: Evaluation of Participant Performance.

Authors:  Kay J Park; Isabel A Cabrero; Oluwole Fadare; Lynn Hoang; Takako Kiyokawa; Esther Oliva; Carlos Parra-Herran; Joseph T Rabban; Andres Roma; Naveena Singh; Robert Soslow; Simona Stolnicu; Jutta Huvila; Samuel Leung; C Blake Gilks
Journal:  Int J Gynecol Pathol       Date:  2021-03-01       Impact factor: 3.326

2.  The Silva Pattern-based Classification for HPV-associated Invasive Endocervical Adenocarcinoma and the Distinction Between In Situ and Invasive Adenocarcinoma: Relevant Issues and Recommendations From the International Society of Gynecological Pathologists.

Authors:  Isabel Alvarado-Cabrero; Carlos Parra-Herran; Simona Stolnicu; Andres Roma; Esther Oliva; Anais Malpica
Journal:  Int J Gynecol Pathol       Date:  2021-03-01       Impact factor: 3.326

3.  Use of Nomogram to Predict the Risk of Lymph Node Metastasis among Patients with Cervical Adenocarcinoma.

Authors:  Yongju Tian; Yiping Hao; Qingqing Liu; Ruowen Li; Zhonghao Mao; Nan Jiang; Bingyu Wang; Wenjing Zhang; Xiaofang Zhang; Baoxia Cui
Journal:  J Immunol Res       Date:  2022-08-23       Impact factor: 4.493

  3 in total

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