Favorable and unfavorable morphological prognostic factors in peripheral adenocarcinoma of the lung 3 cm or less in diameter.
Many small adenocarcinomas can be detected as a result of recent advances in diagnostic radiology. Since the histological and biological heterogeneity of adenocarcinoma often makes it difficult to predict the outcome of operated patients, clarifying the morphological prognostic factors of the tumor is indispensable to the selection of appropriate treatment. We examined 200 cases of adenocarcinoma of the lung 3 cm or less in diameter (T1). Tumor size, tumor cell characteristics, growth pattern, characteristics of fibrosis, vessel and stromal invasion, and metastasis were evaluated to define favorable and unfavorable morphological prognostic factors by univariate and multivariate statistical analysis. There were no deaths in the 66 cases with more than a 75% of lepidic growth component defined as a region of tumor cells growing along alveolar walls and without stromal invasion, central focus of fibrosis 5 mm or less in maximum diameter, or no elastic fiber framework destruction by tumor cells. Multivariate analysis to investigate unfavorable factors revealed that vascular invasion (P<0.001) and a greater than 25% papillary growth component (P=0.043) were the most significant determinants of an unfavorable outcome. The favorable and unfavorable factors demonstrated in this study will be of great value in selecting the treatment of patients with small peripheral adenocarcinoma of the lung.
Yokose
T
T
Pathology Division, National Cancer Center Research Institute East, Kashiwanoha 6-5-1, Kashiwa, 277-8577, Chiba, Japan.
Suzuki
K
K
Nagai
K
K
Nishiwaki
Y
Y
Sasaki
S
S
Ochiai
A
A
D000230:Adenocarcinoma / Q000473:pathology* / Q000601:surgery; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000473:pathology* / Q000601:surgery; D008297:Male; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D011379:Prognosis; D016019:Survival Analysis