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1.
Acta Biochim Pol ; 66(1): 111-114, 2019 Feb 22.
Artigo em Inglês | MEDLINE | ID: mdl-30793712

RESUMO

INTRODUCTION: Small cell lung carcinoma (SCLC) is an aggressive pulmonary neoplasm of neuroendocrine origin. Keratins form a large group of intermediate filaments, which are major structural proteins in epithelial cells and carcinomas. SCLC shows a wide spectrum of keratin expression, from very strong to completely negative. A prognostic role of keratin expression in SCLC is unknown. MATERIAL AND METHODS: Tumor tissue microarray samples from a unique series of 82 SCLC patients who underwent pulmonary resection were stained with keratin specific antibodies AE1/AE3 and CAM5.2. The percentage o1f positively stained cells and their staining pattern (diffusely membranous, partially membranous and dot-like) were evaluated. The median expression value was used for the distinction between keratin-negative and -positive patients. Overall survival in respective groups was compared using the log-rank test. Multivariate Cox proportional hazards regression analysis was performed adjusting for age, gender, tumor site, tumor stage, and tumor histology. RESULTS: edian expression of AE1/AE3 and CAM5.2 was 80% and 90%, respectively. Five cases were completely negative for AE1/AE3 and three for Cam5.2. Median overall survival for patients with stronger and weaker AE1/AE3 staining was 24.7 and 13.8 months, respectively (p=0.019). There was no difference in survival in relation to the CAM5.2 expression (p=0.44). In multivariate analysis adjusted for CAM5.2, T and N stage, gender and age at diagnosis, stronger AE1/AE3 expression was an independent predictor of increased survival (HR 0.50; 95% CI, 0.27-0.94; p=0.031). CONCLUSION: High expression of AE1/AE3 is a favorable prognostic factor in surgically treated SCLC. The applicability of this finding to a typical patient population treated with non-surgical methods warrants further studies.


Assuntos
Queratinas/metabolismo , Carcinoma de Pequenas Células do Pulmão/metabolismo , Antiporters/metabolismo , Biomarcadores/metabolismo , Feminino , Humanos , Pulmão/metabolismo , Pulmão/cirurgia , Masculino , Análise Multivariada , Prognóstico , Modelos de Riscos Proporcionais , Carcinoma de Pequenas Células do Pulmão/patologia , Carcinoma de Pequenas Células do Pulmão/cirurgia , Análise Serial de Tecidos
2.
Pol J Pathol ; 67(3): 228-234, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-28155971

RESUMO

Colorectal carcinoma (CRC) is one of the leading causes of cancer-related deaths worldwide. Alterations in keratin expression, including keratin 7 (K7), are frequent findings in multiple cancers, and they constitute a prognostic factor. The aim of our study was to evaluate the prognostic significance of K7 in the primary tumour and lymph node metastases in two separate cohorts of patients: the first one with lymph node involvement (LN+, 129 cases) and the second one free of LN metastases (LN-, 85 cases). Keratin 7 expression in CRC was analysed on tissue microarrays with immunohistochemistry and evaluated using the h-score. In the LN+ group K7 positivity was identified in 7/129 (5.4%) of primary tumours (PT) and lymph node metastases (LNM); concordance between them was 94% ( 0.396). Keratin 7 was expressed in 8/85 cases (9.4%) in the LN- group. K7 expression in LNM of the LN+ cohort correlated with shorter overall survival (OS) (p = 0.047) and presence of distant metastases at diagnosis (p = 0.005). Expression of K7 in the primary tumour in both cohorts did not correlate with survival. We conclude that the status of K7 expression in metastatic lymph nodes from CRC is a poor prognostic factor.


Assuntos
Adenocarcinoma/patologia , Biomarcadores Tumorais/análise , Neoplasias Colorretais/patologia , Queratina-7/biossíntese , Adenocarcinoma/mortalidade , Adulto , Idoso , Idoso de 80 Anos ou mais , Neoplasias Colorretais/mortalidade , Intervalo Livre de Doença , Feminino , Humanos , Imuno-Histoquímica , Estimativa de Kaplan-Meier , Queratina-7/análise , Metástase Linfática/patologia , Masculino , Pessoa de Meia-Idade , Prognóstico , Modelos de Riscos Proporcionais , Análise Serial de Tecidos
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