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Cell proliferation in skin tumors with ductal differentiation: patterns and diagnostic applications

The kinetic features of skin tumors with ductal differentiation (TDD) remain mainly unknown. We selected 88 skin TDD (D‐PAS‐positive cuticles) classified according to Murphy and Elder's criteria. Tumors studied included 13 poromas, 12 nodular hidradenomas, 10 cylindromas, 6 spiradenomas, 9 syri...

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Published in:Journal of cutaneous pathology 2000-07, Vol.27 (6), p.292-297
Main Authors: Pozo, Lucia, Camacho, Francisco, Rios-Martin, Juan J., Diaz-Cano, Salvador J.
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Camacho, Francisco
Rios-Martin, Juan J.
Diaz-Cano, Salvador J.
description The kinetic features of skin tumors with ductal differentiation (TDD) remain mainly unknown. We selected 88 skin TDD (D‐PAS‐positive cuticles) classified according to Murphy and Elder's criteria. Tumors studied included 13 poromas, 12 nodular hidradenomas, 10 cylindromas, 6 spiradenomas, 9 syringomas, 9 chondroid syringomas, 7 porocarcinomas, 15 malignant nodular hidradenomas, and 7 not otherwise specified carcinomas. The same tumor areas were evaluated for mitotic figure counting (MFC) and proliferation rate (PR=MIB‐1 index), screening 10 consecutive high‐power fields (HPFs) in the most cellular areas. Results were recorded by HPF and tumor cellularity, considering both average and standard deviation. Differences were analyzed by Student's t‐test and analysis of variance (ANOVA) and considered significant if p
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We selected 88 skin TDD (D‐PAS‐positive cuticles) classified according to Murphy and Elder's criteria. Tumors studied included 13 poromas, 12 nodular hidradenomas, 10 cylindromas, 6 spiradenomas, 9 syringomas, 9 chondroid syringomas, 7 porocarcinomas, 15 malignant nodular hidradenomas, and 7 not otherwise specified carcinomas. The same tumor areas were evaluated for mitotic figure counting (MFC) and proliferation rate (PR=MIB‐1 index), screening 10 consecutive high‐power fields (HPFs) in the most cellular areas. Results were recorded by HPF and tumor cellularity, considering both average and standard deviation. Differences were analyzed by Student's t‐test and analysis of variance (ANOVA) and considered significant if p&lt;0.05. PR was significantly higher in malignant (23.29±12.49) than in benign tumors (3.86±4.44) and in poroma‐nodular hidradenoma (4.99±3.34) than in spiradenoma‐cylindroma‐syringoma (1.91±1.67), but not by malignant tumor type. MFC was significantly higher in malignant (25.52±4.10) than in benign tumors (1.57±0.38), showing porocarcinomas the biggest MFC/10 HPF and malignant nodular hidradenomas the highest MFC/1000 cells. 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We selected 88 skin TDD (D‐PAS‐positive cuticles) classified according to Murphy and Elder's criteria. Tumors studied included 13 poromas, 12 nodular hidradenomas, 10 cylindromas, 6 spiradenomas, 9 syringomas, 9 chondroid syringomas, 7 porocarcinomas, 15 malignant nodular hidradenomas, and 7 not otherwise specified carcinomas. The same tumor areas were evaluated for mitotic figure counting (MFC) and proliferation rate (PR=MIB‐1 index), screening 10 consecutive high‐power fields (HPFs) in the most cellular areas. Results were recorded by HPF and tumor cellularity, considering both average and standard deviation. Differences were analyzed by Student's t‐test and analysis of variance (ANOVA) and considered significant if p&lt;0.05. PR was significantly higher in malignant (23.29±12.49) than in benign tumors (3.86±4.44) and in poroma‐nodular hidradenoma (4.99±3.34) than in spiradenoma‐cylindroma‐syringoma (1.91±1.67), but not by malignant tumor type. MFC was significantly higher in malignant (25.52±4.10) than in benign tumors (1.57±0.38), showing porocarcinomas the biggest MFC/10 HPF and malignant nodular hidradenomas the highest MFC/1000 cells. PR and MFC are useful malignancy criteria in skin TDD and should be evaluated by tumor cellularity to avoid potential misinterpretations related with tumor heterogeneity.</description><subject>Acrospiroma - chemistry</subject><subject>Acrospiroma - pathology</subject><subject>Adenoma, Sweat Gland - chemistry</subject><subject>Adenoma, Sweat Gland - pathology</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Antibodies, Monoclonal</subject><subject>Antigens, Nuclear</subject><subject>Biological and medical sciences</subject><subject>Cell Division</subject><subject>Dermatology</subject><subject>Female</subject><subject>Humans</subject><subject>Ki-67 Antigen - analysis</subject><subject>Male</subject><subject>Medical sciences</subject><subject>Middle Aged</subject><subject>Mitotic Index</subject><subject>Nuclear Proteins - analysis</subject><subject>Sweat Gland Neoplasms - chemistry</subject><subject>Sweat Gland Neoplasms - pathology</subject><subject>Syringoma - chemistry</subject><subject>Syringoma - pathology</subject><subject>Tumors of the skin and soft tissue. 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MFC was significantly higher in malignant (25.52±4.10) than in benign tumors (1.57±0.38), showing porocarcinomas the biggest MFC/10 HPF and malignant nodular hidradenomas the highest MFC/1000 cells. PR and MFC are useful malignancy criteria in skin TDD and should be evaluated by tumor cellularity to avoid potential misinterpretations related with tumor heterogeneity.</abstract><cop>Copenhagen</cop><pub>Munksgaard International Publishers</pub><pmid>10885405</pmid><doi>10.1034/j.1600-0560.2000.027006292.x</doi><tpages>6</tpages></addata></record>
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subjects Acrospiroma - chemistry
Acrospiroma - pathology
Adenoma, Sweat Gland - chemistry
Adenoma, Sweat Gland - pathology
Adolescent
Adult
Aged
Aged, 80 and over
Antibodies, Monoclonal
Antigens, Nuclear
Biological and medical sciences
Cell Division
Dermatology
Female
Humans
Ki-67 Antigen - analysis
Male
Medical sciences
Middle Aged
Mitotic Index
Nuclear Proteins - analysis
Sweat Gland Neoplasms - chemistry
Sweat Gland Neoplasms - pathology
Syringoma - chemistry
Syringoma - pathology
Tumors of the skin and soft tissue. Premalignant lesions
title Cell proliferation in skin tumors with ductal differentiation: patterns and diagnostic applications
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