title: Evaluation of prognostic factors and PCNA expression for pulmonary metastatic tumors of colorectal carcinoma.
abstract: The present study was conducted to evaluate clinicopathologically 26 patients whose primary colorectal carcinoma and resulting pulmonary metastatic tumors had been resected, and to determine the relationship between tumor progress and prognosis by PCNA immunostaining. Patients with solitary pulmonary metastasis were found to have much better prognoses than those with multiple metastasis. There was no correlation between tumor size of pulmonary metastasis and prognosis. Survival rates of patients with disease-free intervals (DFIs) of 2 years or longer were higher than for those with DFIs of less than 2 years. Mean PCNA expression of pulmonary metastatic lesions was significantly higher than that of primary lesions. It was suggested that the higher PCNA expression stemming from the relation between depth of tumor invasion and PCNA expression was greater with tumor progress.
authors.affiliation: Department of Surgery of TamaNagayama Hospital, Nippon Medical School, Japan.
authors.forename: S
authors.initials: S
authors.lastname: Matsushima
authors.forename: H
authors.initials: H
authors.lastname: Yamamoto
authors.forename: S
authors.initials: S
authors.lastname: Suzuki
authors.forename: K
authors.initials: K
authors.lastname: Egami
authors.forename: M
authors.initials: M
authors.lastname: Yoshioka
authors.forename: N
authors.initials: N
authors.lastname: Yamada
authors.forename: S
authors.initials: S
authors.lastname: Tanaka
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D015179:Colorectal Neoplasms / Q000473:pathology*; D018450:Disease Progression; D018572:Disease-Free Survival; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000401:mortality / Q000473:pathology / Q000556:secondary*; D008297:Male; D008875:Middle Aged; D011379:Prognosis; D018809:Proliferating Cell Nuclear Antigen / Q000032:analysis*; D015996:Survival Rate
chemical_list: D018809:Proliferating Cell Nuclear Antigen