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Purpose: To investigate the symptoms and delays in the clinical pathway of bladder cancer (BC). Methods: This is a substudy of a prospective, randomized, multicenter phase III study (FinnBladder 9, NCT01675219) where the efficacy of photodynamic diagnosis and 6 weekly optimized mitomycin C instillations are studied in pTa bladder cancer with high risk for recurrence. The data of presenting symptoms and critical time points were prospectively collected, and the effect of factors on delays was analyzed. Results: At the time of analysis, 245 patients were randomized. Analysis included 131 patients with primary bladder cancer and their complete data. Sixty-nine percent had smoking history and 67% presented with macroscopic hematuria. Median patient delay (from symptoms to health-care contact) was 7 days. The median general practice delay (from health-care contact to urology referral) was 8 days. Median time from urology referral to cystoscopy was 23 days and from cystoscopy to TUR-BT 21 days. Total time used in the clinical pathway (from symptom to TUR-BT) was 78 days. Current and former smokers had non-significantly shorter patient-related and general practice delays compared to never smokers. TUR-BT delay was significantly shorter in patients with malignant cytology (16 days) compared to patients with benign cytology (21 days, p = 0.03). Conclusions: Patient-derived delay was short and most of the delay occurred in the referral centers. The majority had macroscopic hematuria as the initial symptom. Surprisingly, current and past smokers were more prone to contact the health-care system compared to never smokers.

DNA ploidy, S-phase fraction (SPF), mitotic index (MI), volume corrected mitotic index (M/V index) and standard prognostic factors were related to disease outcome in a series of 363 women with breast cancer followed-up for over 10 years in our clinic. DNA ploidy and SPF were significantly related to histological type, tumour grade and mitotic indices (p0.001). In univariate survival analysis, pN status (p0.0001), tumour diameter (p0.0001), MI (p = 0.001), M/V index (p = 0.0003) and SPF (p = 0.015) predicted survival. In pN(-) tumours. MI (p = 0.059) was related to survival. In pN(+) tumours, tumour diameter (p = 0.0004), M/V index (p = 0.023) and SPF (p = 0.045) predicted survival. In multivariate survival analysis, tumour diameter (p0.001). M/V index (p0.007), pN status (p = 0.014) and patient age (p = 0.09) were independently related to survival. In pN(-) tumours, tumour diameter independently predicted survival (p = 0.033). In pN(+) tumours, tumour diameter (p0.001), M/V index (p = 0.006) and the year of treatment (p = 0.08) were independent predictors. The results show that tumour diameter, pN status and proliferative activity of cancer cells are important prognostic factors in breast cancer. Of the proliferation indices, M/V index and SPF are equally powerful predictors, and the use of M/V index is advocated due to simplicity of the assessment.

A series of 175 biopsies from primary tumours were subjected to immunostaining for proliferation cell nuclear antigen (PCNA) and histopathological analysis for prognostic factors in 175 women with breast cancer followed up for nine years. In normal breast epithelium, only occasional nuclei were positive for PCNA. In breast carcinomas, the fraction of nuclei positive for PCNA showed considerable intratumoural variation, usually being highest at the invasive tumour margins. The fraction of positive nuclei was significantly related to histological grade (p less than 0.001), histological type (p = 0.049) and tumor recurrence (p = 0.01). The fraction of positive nuclei predicted recurrence-free survival (p = 0.007) and overall survival (p = 0.0158) in univariate analysis. In the multivariate analysis including also the standard prognostic factors, the PCNA positivity predicted recurrence-free survival (p = 0.004) and overall survival (p = 0.030) independently. The results show that the light microscopic assessment of the growth fraction as determined by PCNA immunolabeling has independent prognostic value in breast carcinomas like some other (e.g. S phase fraction, mitotic index, Ki-67) previously characterized proliferation indices.

S phase fraction (SPF) and DNA ploidy were related to disease outcome by a separate analysis of sex steroid receptor positive and negative tumours in a series of 232 patients with breast carcinoma followed-up for over 8 years in our clinic. SPF was significantly higher in receptor-negative tumours than in receptor-positive ones (p = 0.037). SPF predicted recurrence only in ER+ or PR+ patients (p = 0.02-0.003). Recurrence-free survival (RFS) was significantly related to SPF only in ER+ (p = 0.001) and PR+ (p less than 0.001) tumours. In survival analysis, ER+ (p = 0.002) and PR+ (p less than 0.001) patients were efficiently divided into prognostic groups by SPF, whereas in ER- and in PR- tumours SPF had only suggestive predictive value. In N- tumours, SPF predicted recurrence-free survival and disease-related survival in ER+ (p = 0.003) (p = 0.039) and in PR+ (p = 0.003) (p = 0.012) tumours, respectively, whereas in ER-, PR-, tumours, SPF had no predictive value. In pN+ tumours, SPF also predicted survival in ER+ (p = 0.03) and in PR+ (p = 0.024) tumours. Thus the prognosis of ER+ or PR+ tumours with an SPF less than 9% is favourable with a risk of death of about 20%, in contrast to that of about 70% in tumours with an SPF greater than 9% during the follow-up period. To conclude, the proliferation rate as measured by S phase fraction by FCM is a highly significant prognostic factor in breast cancer. The prognostic value of S phase fraction is confined to steroid receptor-positive tumours, whereas in receptor-negative tumours SPF has no predictive value. The results thus suggest that all women with steroid receptor-negative breast tumours and those receptor-positive tumours with an SPF higher than 9% should be subjected to postoperative adjuvant chemotherapy immediately.

To evaluate the predictive value of traditional prognostic factors, nuclear morphometry, and flow cytometric data in invasive breast cancer.Open study.One university hospital in Finland.248 women with invasive breast cancer followed up for more than 11 years.Univariate and multivariate analysis of factors thought to indicate prognosis.Diameter of the tumour, lymph node status, S phase fraction. DNA index, the age of the patient, and the SD of nuclear perimeter were significant independent predictors in the whole series in a multivariate analysis. In node negative patients the SED of the nuclear perimeter and diameter of the tumour had independent prognostic value, whereas in node positive patients diameter of the tumour and the S phase fraction were independently related to survival.Diameter of the tumour is an important prognostic factor in breast carcinomas. Histoquantitative methods are superior to conventional histological techniques for the prediction of outcome in women with breast cancer.

The primary tumors of 106 female patients with breast cancer (with a mean follow-up of 17 years) were analysed for prognostic factors, with special emphasis on improved prognostic prediction of the small axillary lymph node-negative tumours. In addition to classic prognostic variables (histological type, nuclear grade, tumor size, node involvement), six morphometrically determined nuclear variables (mean nuclear area, SD of nuclear area, mean area of the 10 largest nuclei, maximum nuclear diameter, shortest nuclear diameter, mean nuclear perimeter, and SD of nuclear perimeter) and two mitotic indexes (mitotic activity index (MAI) and volume corrected mitotic index (M/V-index] were measured and related to the patient survival data. Mitotic indexes (p less than 0.001) as well as nuclear morphometric features (p less than 0.001) accurately predicted axillary lymph node involvement at operation. The axillary metastases that developed during the follow-up were also significantly related to mitotic indexes (p less than 0.001). The same indexes also predicted the recurrence free survival (p less than 0.001). The best predictors of cancer related survival were axillary node status and the mitotic indexes at the time of diagnosis (p less than 0.001). The potential of the M/V index in predicting the patient survival was equal to that of the axillary lymph node status. Of the two mitotic indexes, the M/V index was superior to the MAI in survival analysis. The results had us to advocate the inclusion of the newly introduced M/V index in the prognostic factors used in predicting the biological behaviour of breast cancer.