Prognostic Factors in Prostatic Adenocarcinoma Assessed by Means of Quantitative Histology

Eskelinen, M; Lipponen, P; Majapuro, R; Syrjänen, Karí

doi:10.1159/000473642

Cited by 16 publications

(16 citation statements)

References 14 publications

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“…In similar analyses, the subjective histo logical grading had no significant predictive value. The results of FCM were similar to those obtained by using the volume-corrected mitotic index (M/V) [9], In fact, the volume-corrected mitotic index and SPF are signifi cantly correlated (correlation coefficient: R = 0.415, p < 0.001) in prostatic adenocarcinoma as well as in transi tional cell bladder tumours [31], which clearly indicates that SPF can be semiquantitatively assessed by using conventional light microscopy.…”

Section: Discussionsupporting

confidence: 69%

See 1 more Smart Citation

DNA Ploidy, S Phase Fraction and G2 Fraction as Prognostic Determinants in Prostatic Adenocarcinoma

Eskelinen¹,

Lipponen²,

Majapuro³

et al. 1991

Eur Urol

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Section: Discussionsupporting

confidence: 69%

“…Recently used quantitative measurements like nu clear morphometry [6][7][8][9], stereological calculations of the nuclear volume [10], as well as mitotic activity mea In the present paper, FCM was applied to assess tumour progression and patient survival in a series of 91 patients with prostatic adenocarcinoma.…”

Section: Introductionmentioning

confidence: 99%

DNA Ploidy, S Phase Fraction and G2 Fraction as Prognostic Determinants in Prostatic Adenocarcinoma

Eskelinen¹,

Lipponen²,

Majapuro³

et al. 1991

Eur Urol

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“…This is consistent with the analyses of the factors reflecting tumour proliferative activity [4,26], which have uniformly documented the inability of nuclear structure alone to predict the recurrence of breast cancer. Consequently, studies focused on assessment of the pro liferation and invasion are probably more rewarding also in breast cancer as shown in a variety of other human epithelial neoplasms [29][30][31][32][33],…”

Section: Discussionmentioning

confidence: 99%

Histological Assessment of the Prognostic Factors in Female Breast Cancer

Aaltomaa¹,

Lipponen

Eskelinen³

et al. 1992

Oncology

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Paraffin-embedded biopsy specimens from the primary breast carcinomas of 653 women were subjected to histopathological assessments of the potential prognostic factors. Histological type, histological grade, nuclear pleomor-phism, tubule formation, intraductal growth pattern, tumour margin circumscription, tumour necrosis and inflammatory cell reaction were semiquantita-tively analysed with special reference to disease outcome during the mean follow-up 12.8 years. Histological grade, nuclear grade and inflammatory cell reaction were related to axillary lymph node involvement at operation (p < 0.001). Intensity of the inflammatory cell reaction was directly correlated to histological grade, histological type, nuclear pleomorphism and tumour necrosis (p < 0.001). Tubule formation and tumour necrosis were significant predictors for tumour recurrence. Recurrence-free survival was related to tubule formation (p = 0.0048), histological grade (p = 0.0208) and intraductal growth pattern (p = 0.0441). Tubule formation accurately predicted the recurrence-free survival in axillary lymph node-negative tumours (p = 0.0386). In small (diameter ≤ 20 mm) axillary lymph node-negative tumours, the inflammatory cell reaction (p = 0.0377) as well as intraductal growth pattern (p == 0.0632) were related to recurrence-free survival. Cancer-related patient survival was predicted in decreasing order of significance by tubule formation (p = 0.0002), nuclear pleomorphism (p = 0.0010), intraductal growth (p = 0.0077), tumour necrosis (p = 0.0117) and histological type (p = 0.0651). In axillary lymph node-negative tumours, tubule formation (p = 0.0409), inflammatory cell infiltration (p = 0.0790) and intraductal growth (p = 0.0958) predicted the cancer-related survival. The results indicate that despite an intense search for a diversity of prognostic factors by increasingly sophisticated techniques (e.g., morphometric measurements, flow cytometry, immunohisto-chemistry, and DNA hybridization techniques), the relatively simple light microscopic assessment of the above morphological features seems to be still advocated in predicting the disease outcome in female breast cancer.

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“…Morphometric methods have shown their applicability in the prediction of several ma lignancies, including local and disseminated diseases [1,2,[9][10][11][15][16][17][18][19][20]. Thus, nuclear morphometric variables and mitotic indices have been available to accurately predict the survival in pancreatic [16], ovarian [17] and bladder cancer [18][19][20], These findings prompted us to test the applicability of these quantitative methods in the prediction of the axillary-lymph-node-positive breast cancers.…”

Section: Discussionmentioning

confidence: 99%

“…DNA flow cytometry and morphometric methods are objective methods in assessing the prognosis in several malignancies [15][16][17][18][19][20], including breast cancer [1,2, 4-6, 9-11, 21, 22], SPF (S-phase fraction) and prognostic indices [2,6,23,24] have shown their predic tive value in axillary-lymph-node-positive tu mors. Recently, the mitotic indices reflecting the tumor-proliferative activity have proved as significant predictors in unselected series of breast cancer [1,2.…”

Section: Introductionmentioning

confidence: 99%

Tumor Size, Nuclear Morphometry, Mitotic Indices as Prognostic Factors in Axillary -Lymph-Node-Positive Breast Cancer

Aaltomaa

Lipponen²,

Eskelinen³

et al. 1992

Eur Surg Res

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The biopsy specimens from the primary tumors of 234 women with axillary-lymph-node-positive breast carcinomas (followed up for a mean of 10.9 years) were subjected to interactive morphometric analysis of nine nuclear factors. The proliferative activity of the tumors was estimated by determining two different mitotic indices. Morphometrically determined nuclear factors and mitotic indices showed a significant correlation to the histological grading (p < 0.0001). Mitotic activity index (MAI; p = 0.018) and volume-corrected mitotic index (M/V index; p = 0.005) accurately predicted the tumor recurrence. Recurrence-free survival was related to the M/V index (p = 0.0003), MAI (p = 0.0024) and tumor size (p = 0.0144). Disease-related survival was determined by the tumor size (p < 0.0001), M/V index (p = 0.0142) and MAI (p = 0.0492) in that order. On the other hand, the nuclear factors analyzed and the histological grading used had no predictive value (i.e. tumor recurrence, recurrence-free survival or tumor-related survival) in these women. The results indicate that mitotic indices can be sucessfully applied in place for subjective grading and nuclear morphometry in predicting the disease outcome in patients with axillary-lymph-node-positive breast carcinomas. The mitotic indices provide independent prognostic information in addition to tumor size. The major clinical implications of these results would be to accurately disclose among these women the high-risk patients (i.e. those with high mitotic indices), who might benefit from more agressive adjuvant therapies.

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Prognostic Factors in Prostatic Adenocarcinoma Assessed by Means of Quantitative Histology

Cited by 16 publications

References 14 publications

DNA Ploidy, S Phase Fraction and G2 Fraction as Prognostic Determinants in Prostatic Adenocarcinoma

DNA Ploidy, S Phase Fraction and G2 Fraction as Prognostic Determinants in Prostatic Adenocarcinoma

Histological Assessment of the Prognostic Factors in Female Breast Cancer

Tumor Size, Nuclear Morphometry, Mitotic Indices as Prognostic Factors in Axillary -Lymph-Node-Positive Breast Cancer

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