Overall survival in advanced breast cancer: relevance of progesterone receptor expression and DNA ploidy in fine-needle aspirates of 392 patients

Fine-needle aspiration cytology (FNAC) is essential for making a diagnosis in advanced breast cancer. The determination of hormone receptors in the material obtained is useful for predicting patient response to endocrine therapy, but the prognostic value of hormone receptor expression as well as the clinical utility of DNA flow cytometry are controversial. The aim of this prospective study with long-term follow-up (median: 81 months) was to evaluate these biomarkers in relation to overall survival in a series of 392 patients with advanced breast cancer (stage IIB, n=106; IIIA, n=66; IIIB, n=174; and IV, n=46) using FNAC. Estrogen and progesterone receptor expression was found in 65.1% and 46.1% of the tumors, respectively. Hormone receptors were not found to be associated with clinical staging. DNA aneuploidy was present in 70.9% of the cases and the median S-phase fraction (SPF) was 9.4%. There was a significant correlation of aneuploidy and high SPF with lack of hormone receptors. In univariate analysis, advanced disease stage, absence of hormone receptors, DNA aneuploidy and high SPF showed a statistically significant correlation with poor clinical outcome. In multivariate analysis, disease stage, progesterone receptors and DNA ploidy retained independent prognostic significance in relation to overall survival. These data indicate that progesterone receptor expression and DNA ploidy are independent prognostic factors in advanced breast cancer.     

S-phase fraction determined on fine needle aspirates is an independent prognostic factor in breast cancer – a multivariate study of 770 patients

Background: The prognostic significance of DNA ploidy and the S-phase fraction (SPF) have been extensively studied in breast cancer, but their clinical utility remains controversial. The type of tumour material can substantially influence flow cytometric DNA measurements. Material obtained by fine needle aspiration (FNA) biopsy is very suitable for flow cytometric DNA analysis because it contains a low proportion of non-tumour cells and less debris than tissue samples. Methods: The prognostic significance of DNA ploidy and SPF, determined on FNA samples, was analysed in 770 breast cancer patients, diagnosed between 1992 and 1997. DNA ploidy and SPF were determined at the time of diagnosis as part of the diagnostic work-up. The median follow-up was 90 months. Survival analysis included overall cancer specific survival (OS), disease free survival (DFS) and survival after recurrence (SAR). Other variables included in survival analyses were age, histological grade, histological type, lymph node status and tumour size. Disease free interval and the site of recurrence were also included in SAR analysis. Results: DNA ploidy and SPF correlated with tumour type, size, lymph node involvement and, especially, tumour grade. In a univariate analysis, both aneuploidy and high SPF were associated with shorter OS, DFS and SAR, but only SPF retained its independent prognostic significance in multivariate analyses. Independent prognostic variables for OS were node status, histological grade, SPF and tumour size. Node status, histological grade and SPF were independent predictors of DFS, while the site of recurrence, SPF, histological grade, disease free interval and age were independent predictors of SAR. Conclusions: DNA ploidy and SPF can be efficiently and routinely determined on FNA samples. High SPF is independently associated with a worse clinical outcome of patients with breast cancer. Although SPF and histological grade share prognostic information to some degree, SPF provides additional, less subjective prognostic information. The prognostic value of SPF determined on FNA samples could be even more relevant in neoadjuvant settings and for patients not amenable for surgical treatment, when histological grade cannot be assessed.     

Flow cytometric bivariate analysis of DNA and cytokeratin in colorectal cancer.

Different opinions about flow cytometric estimates of DNA aneuploidy and/or S-phase fraction (SPF) as supplementary prognostic markers in colorectal cancer are to some degree associated with methodology. Using univariate DNA analysis, we have previously investigated the DNA ploidy in colorectal cancer, its heterogeneity within and between tumors and its relation to survival. To improve detection of DNA aneuploid subpopulations and particularly estimation of their SPF's we investigated a method for bivariate DNA/cytokeratin analysis on fine-needle aspirates of 728 frozen biopsies from 157 colorectal tumors. Unfixed aspirates were stained with propidium iodide and FITC-conjugated anti-cytokeratin antibody in a saponin-buffer. A significant association between SPF and debris was observed. There were no substantial difference in DNA ploidy patterns between univariate and bivariate measurements (concordance was 92-95%). No new DNA aneuploid subpopulations were detected in cytokeratin-gated compared to ungated or univariate histograms. Debris-adjusted SPF's of cytokeratin-gated histograms were significantly higher than of ungated histograms, also for subpopulations with DI>1.4 (p<0.0001). There was no significant association between SPF and survival.     

Prognostic significance of DNA ploidy determined by high-resolution flow cytometry in breast carcinoma

OBJECTIVE: To assess the prognostic value of DNA ploidy in breast carcinoma and its relation to other established prognostic factors. STUDY DESIGN: We evaluated DNA ploidy in 303 breast carcinoma patients with a median follow-up of 63 months. Flow cytometry was performed on frozen tumor material, yielding histograms with narrow peaks (median coefficient of variation of 2.08). DNA ploidy pattern was classified as either diploid versus nondiploid, euploid (diploid and tetraploid) versus aneuploid or diploid/near-diploid (DNA index < 1.2) versus other, and correlated with relapse-free (RFS) and cancer-specific survival (CSS) along with tumor size, histologic grade and type, axillary lymph node involvement, menopausal and steroid receptor status, age and type of treatment. RESULTS: Seventy-one percent of tumors were DNA nondiploid (14% tetraploid and 57% aneuploid). There was a strong association between DNA ploidy and histologic grade. Histologic grade, lymph node status, tumor size and DNA ploidy (regardless of the classification used) were all significantly associated with RFS and CSS in multivariate analysis. CONCLUSION: These results suggest that DNA ploidy, at least when determined from frozen tumor tissue, is an independent prognostic factor in breast carcinoma; however, its prognostic power seems to be inferior to that of histologic grade, with which it strongly correlates.     

DNA ploidy and survival in breast cancer patients

Flow cytometric DNA ploidy measurements using frozen or deparaffinized tumor specimens were performed on 565 primary breast cancers from patients treated in the period 1975-1984. Twenty-nine percent of the cases were diploid, 61% had a single aneuploid stemline, and 10% were multiploid. Aneuploid tumors more often had negative estrogen receptor values than diploid tumors, but no significant correlation was found between ploidy class and TNM stage. Patients with more than ten positive axillary lymph nodes had predominantly aneuploid tumors. Overall and distant relapse-free survival were higher for patients with diploid tumors and low-aneuploid tumors. Stratification of the patients according to degree of lymph node involvement, TNM stage, and menopausal stage showed that the prognostic effect of aneuploidy was apparent predominantly in patients with locally advanced disease. Postmenopausal node-positive patients with diploid tumors had a significantly better prognosis than those with aneuploid tumors, but this difference was not found for the comparable premenopausal group. Multivariate analysis with the Cox proportional hazards model indicated that ploidy is an additional, independent prognostic factor in postmenopausal patients.     

DNA ploidy assessment method applied to primary breast carcinoma FNA biopsies

The goal of our study was to assess suitability of FNA biopsy material as a source of samples (cell suspension) for DNA ploidy assessment in neoplastic tumors using flow cytometry. DNA ploidy is an established prognostic factor in many types of cancers. Aneuploid breast tumors are characterized by increased aggressiveness which manifests itself through rapid local progression and metastatic spread. Investigated specimens were breast cancer FNA biopsy cell suspensions. Measurements were performed using flow cytometry. Material studied comprised 143 cases analyzed in 1999-2000. We found in this group 101 carcinoma cases with aneuploid type and 42 cases of primary breast carcinoma with diploid type of cell cycle. Immunocytochemical assesssment of estrogen receptor and progesterone receptor status was performed in group of 105 cases. DNA ploidy was compared to receptor status of the investigated cells. DNA aneuploidy correlated with weak or no reaction for the presence of estrogen and progesterone receptors. Our study demonstrates the suitability of DNA ploidy assessment method applied to cytological material from FNA biopsies.     

Prognostic significance of DNA ploidy and proliferation rate in human astrocytic gliomas

DNA ploidy and the proliferative potential in 75 gliomas were investigated using bromodeoxyuridine labelling index (BrdUrd LI), S-phase fraction (SPF) and argyrophilic nucleolar organizer regions (AgNOR) technique. There were 53 highly malignant (AIII-AIV), and 22 low-grade (AI-AII) gliomas. One fragment of the tumour was fixed in Carnoy's solution for AgNOR test, while the other fragments were used for flow cytometric determination of the labelling index, SPF and DNA ploidy. For the BrdUrdLI, tumour samples from each patient were incubated in vitro for one hour at 37 degrees C with BrdUrd using the high pressure oxygen method. The tumours showed variability in the BrdUrdLI values, SPF and AgNOR counts/cell nucleus. The same percentage of DNA aneuploidy (55%) was found in high-grade as well as in low-grade gliomas. Univariate analysis showed that patients with grade I & II gliomas had significantly higher 3-year survival rate (p = 0.0193) than those with grade III and grade IV gliomas. Also patients with lower proliferation rate of tumours (BrdUrdLI < or =2.3% and AgNOR counts < or =2.6%/cell) had higher 3-year survival rate (p<0.03), which can be helpful in prognosis. Tumour ploidy or SPF had no influence on patients' survival (p = 0.7908). Cox multivariate analysis showed that only patients' age > 45 years and high tumour grade (III and IV) were significant unfavourable prognostic factors in terms of patients' survival.     

Prognostic evaluation of breast cancer in cytologic specimens

OBJECTIVE: To evaluate prognostic factors in breast cancer using cytologic samples and to determine the correlation between those factors and ploidy. STUDY DESIGN: Two hundred sixteen fine needle aspirates from patients with primary breast cancer were analyzed for expression of estrogen receptors (ERs), progesterone receptors (PRs), Ki-67 antigen, expression of p53 tumor suppressor gene and overexpression of c-erbB-2 using a standard immunochemical method. Not all subjects had all biomarker information because of the study design (c-erbB2 added later). The specimens were analyzed also for ploidy. We used the SAMBA 4000 image analysis system for quantification of the percent of cells stained positively by the different immunocytochemical stains andfor ploidy. RESULTS: A significant correlation wasfound between ER and PR and between Ki-67 and positive p53. Steroid receptor content was not significantly related to p53, Ki-67 or c-erbB2. No correlation was found between c-erbB2 and the other biomarkers. Ploidy had a significant correlation with all the biomarkers used. CONCLUSION: A reliable and rapid evaluation of markers for breast cancer can be achieved by measuring cells stained positively by immunocytochemical stains, as well as ploidy, by means of an image analysis system. ER, PR Ki-67, p53 and c-erbB2 had a significant correlation with ploidy and overall prognostic value in breast cancer.     

DNA ploidy and S-phase fraction in carcinoma of the gallbladder related to histopathology, number of gallstones and survival.

Gallstones are a risk factor for the development of gallbladder cancer. We studied DNA ploidy and cell cycle composition by flow cytometry in archival specimens from 52 gall bladder carcinomas in relation to histopathological grade, tumour stage, gallstone number and survival. 69% of the gallbladder carcinomas showed aneuploidy. All tumours with single stones (N=11) were aneuploid while only 61% of tumours with multiple stones (N=41) were aneuploid (p=0.002). DNA aneuploidy was related to increase in T-category (p=0.01), grade (p=0.02), and nuclear pleomorphism (p=0.0005). The distribution of DNA ploidy shifted from tetraploid in low stage towards triploid positions in high stage tumours (p=0.02) combined with higher S-phase values in triploid tumours (p=0.05). S-phase fraction increased during development from normal tissue to dysplasia, cancer in situ and cancer in diploid cases (p=0.0002), and further at the change from diploid to aneuploid (p=0.004). At a median cancer specific survival time of four months patients with diploid tumours had a better survival than those with aneuploid tumours (p=0.02). In multivariate analysis of the tumour characteristic, only T-category and tumour grade were independent prognostic factors.The shift from diploid to aneuploid and the further shift of ploidy within aneuploid tumours are in agreement with the concept of a clonal development of gallbladder cancer. These changes are combined with a stepwise increase in the fraction of S-phase cells. Low frequency of symptoms in single stone patients may be the reason for detection of malignancy at a late stage of tumour development.     

One or multiple samplings for flow cytometric DNA analyses in breast cancer-prognostic implications?

Flow cytometric assessments of DNA ploidy status and the S-phase fraction (SPF) have been shown to yield prognostic information in breast cancer. The aim of the present investigation was to elucidate the reproducibility of results with regard to tumor DNA heterogeneity, and to ascertain whether the prognostic value of DNA measurements might be enhanced by analyzing two pieces of a tumor instead of one. Agreement with regard to ploidy status (diploid versus non-diploid) was obtained in 90% of cases (71/79) when two adjacent sections of the tumor were investigated, and in 77% of cases (10/13) when four biopsies from different quadrants of the tumor specimen were investigated. The corresponding figures for agreement in SPF (divided into three categories, less than 7.0%, 7.0-11.9%, and greater than or equal to 12%) were 75% (59/79; 2-sample series) and 55% (7/13; 4-biopsy series). The main reason for variance in ploidy results was the difficulties in distinguishing near diploid cell populations. Discrepancies in SPF categories could be explained by minor fluctuations in SPF values near the cut-off levels, or by variance in ploidy status, the fraction of non-diploid nuclei, and background noise due to cell debris. There was a stepwise increase in recurrence rate (RR) among patients with increasing SPF category (RR: 20%, 41%, and 53%). Patients whose SPF categories varied, from low or intermediate in one part of the tumor to high in another, seemed to have a poor prognosis (RR = 57%).(ABSTRACT TRUNCATED AT 250 WORDS)     

Intratumoral variations in DNA ploidy and s-phase fraction in human breast cancer.

To study intratumoral DNA ploidy heterogeneity and S-phase fraction (SPF) variability, we prospectively collected five different samples from 48 breast carcinomas and each sample was analysed separately by flow cytometry. Aneuploidy rate was 89.6% after analysis of four or five samples. DNA ploidy heterogeneity, i.e., different samples classified as either DNA euploid or DNA aneuploid in the same tumor was seen in 17%, and DNA index heterogeneity, i.e., tumor populations with different DNA indices (DIs) seen in different samples was 44%. A statistical model defining SPF heterogeneity is proposed. SPF heterogeneity as defined by us was 71%, and as expected the SPF heterogeneity rate increased significantly with increasing number of analysed samples. Four or more samples are needed to detect the most deviant (highest) SPF values. An unrecognized intratumor heterogeneity of DNA ploidy and SPF may partly explain the conflicting results reported in the literature on the above prognostic indicators.     

Flow cytometric DNA ploidy, p53, PCNA, and c-erbB-2 protein expressions as predictors of survival in surgically resected gastric cancer patients

In order to determine retrospectively the impact of some cytometric and immunohistochemical parameters on the overall survival of gastric cancer patients treated with surgery alone, paraffin-embedded tumor samples from 137 gastric carcinoma patients undergoing curative resection from 1987-1993 were analyzed by flow cytometry (FCM) and immunohistochemistry (p53, c-erbB-2, and PCNA expression). FCM-derived parameters were DNA ploidy and fraction of S-phase cells (SPF). Multiple regression analysis was applied to determine the prognostic significance of the conventional clinicopathologic findings together with the flow cytometric and immunohistochemical parameters on overall survival. When all parameters were entered simultaneously into the Cox regression model, stage and DNA ploidy (DNA index >1.35) clearly emerged as the only independent prognostic factors. When the stages were analysed separately, the independent prognostic factors resulted DNA ploidy in early stages (I-II) and grading in stage IIIA tumors. For stage IIIB tumors, no independent prognostic factor was found. These results indicate that the DNA ploidy pattern is a valuable predictor of survival in curatively resected gastric cancer patients, especially when less advanced tumors are taken into consideration.     

Prospective study on prognostic significance of DNA ploidy and Ki-67 expression in colorectal cancer

The aim of the study was to correlate tumoral DNA ploidy and Ki-67 expression with therapy response, Overall Survival (OS), Disease Specific Survival (DSS) and Disease Free Survival (DFS). Three samples of colorectal cancer were collected from each patient. One sample of normal tissue was our internal control. DNA ploidy was evaluated by FACSCalibur cytometer and Ki-67 by immunohistochemistry. We studied 67 patients and we found aneuploidy in 65,7 percent of carcinoma with a Ki-67 median expression of 55 percent. After surgery and chemotherapy in 35 percent of the patients with aneuploid carcinoma and high proliferative activity (Ki-67 greater than 55 percent) there were no evidence of disease versus 100 percent of patients with DNA diploidy and low proliferative activity (Ki-67 less than 55 percent). Tumoral aneuploidy significantly correlated with lower OS, DSS and DFS (18 percent vs 86 percent at 30 months). Univariated analysis demonstrated a significant correlation between aneuploidy and develop disease progression (p=0,033, odd ratio=5.7), while the cut-off of 55 percent for Ki-67 expression did not correlate with OS, DSS and DFS. Preliminary results (the study is still in progress) seemed to suggest that DNA ploidy has a prognostic and predictive significance in colorectal carcinoma.     

Improved prognostic impact of S-phase values from paraffin-embedded breast and prostate carcinomas after correcting for nuclear slicing

Nuclear debris may significantly interfere with the analysis of S-phase fraction (SPF) from paraffin-embedded tumors. We used a background subtraction algorithm to compensate for the effects of slicing of tumor cell nuclei during preparation of paraffin-embedded specimens. DNA histograms were analyzed from 88 node-negative breast and from 78 prostatic carcinomas. Median SPFs corrected for nuclear slicing were lower than uncorrected ones in both breast cancer (7.6% vs. 5.7%) and prostate cancer (6.7% vs. 4.2%). The median SPF value in each group was used as a cut-off point in survival studies. As compared with the uncorrected SPFs, corrected SPF levels resulted in a more significant survival difference between breast cancer patients with above and below median SPF (p = 0.0014 vs. p = 0.014) and in a higher relative risk (RR) of death (4.5 vs. 3.1). The same was true for prostate cancer survival (p less than 0.0001 vs. p = 0.002) and RR (5.3 vs. 3.1). Compared with the exponential background subtraction method, the sliced nuclei correction was more reproducible and could be applied in all evaluable histograms without the risk of overcompensation. In conclusion, our results support the use of background correction with the sliced nuclei model in DNA flow cytometric studies of archival tissues.     

Prognostic biomarkers in renal cell carcinoma: relevance of DNA ploidy in predicting disease-related survival

OBJECTIVE: To investigate the prognostic value of DNA ploidy, Ki-67 index and p53 expression in relation to disease-related survival in a consecutive series of patients with renal cell carcinoma (RCC). MATERIAL AND METHODS: The study group consisted of 64 RCC patients treated by radical nephrectomy. Histological type, pathological staging and nuclear anaplasia were assessed according to the WHO classification, TNM system and Fuhrman grading criteria, respectively. Ploidy was determined by DNA flow cytometry using two sampling methods (frozen vs paraffin-embedded tissue). Ki-67 and p53 were evaluated by immunohistochemistry techniques using two cutoff points (10% vs mean value) for staining interpretation. Kaplan-Meier and Cox regression analyses were used for prognostic evaluation. RESULTS: Thirty-one tumors (48.4%) showed DNA diploidy and 33 (51.6%) were DNA aneuploid. Concordance between both ploidy measurement methods was found in 85.5% of cases (p=0.0455). The mean values for Ki-67 and p53 immunostaining were 3.65% (0-23.5%) and 5.90% (0-55.9%), respectively. DNA ploidy significantly correlated with staging, tumor size (pT), nuclear grading, and Ki-67 (mean value cutoff). Ki-67 (10% cutoff) correlated with staging and pT, while p53 (mean value cutoff) was associated with Ki-67 (mean value cutoff). There were significant differences between survival curves for pathological stage, pT, nuclear grade, ploidy, Ki-67 (both cutoffs), and p53 (10% cutoff). By univariate regression analysis, stage III and stage IV, pT3, aneuploidy, high Ki-67 (both cutoffs), and p53 overexpression (10% cutoff) showed significant correlations with worse disease-related survival. In addition, DNA aneuploidy significantly correlated with poor prognosis within stages I/II (p=0.0355) and stages III/IV (p=0.0138) of the disease. CONCLUSION: The results indicate that DNA ploidy has relevant prognostic value in RCC, adding useful information to the classic histopathological indicators of clinical outcome.     

Optimizing flow cytometric DNA ploidy and S-phase fraction as independent prognostic markers for node-negative breast cancer specimens.

Developing a reliable and quantitative assessment of the potential virulence of a malignancy has been a long-standing goal in clinical cytometry. DNA histogram analysis provides valuable information on the cycling activity of a tumor population through S-phase estimates; it also identifies nondiploid populations, a possible indicator of genetic instability and subsequent predisposition to metastasis. Because of conflicting studies in the literature, the clinical relevance of both of these potential prognostic markers has been questioned for the management of breast cancer patients. The purposes of this study are to present a set of 10 adjustments derived from a single large study that optimizes the prognostic strength of both DNA ploidy and S-phase and to test the validity of this approach on two other large multicenter studies. Ten adjustments to both DNA ploidy and S-phase were developed from a single node-negative breast cancer database from Baylor College (n = 961 cases). Seven of the adjustments were used to reclassify histograms into low-risk and high-risk ploidy patterns based on aneuploid fraction and DNA index optimum thresholds resulting in prognostic P values changing from little (P < 0.02) or no significance to P < 0.000005. Other databases from Sweden (n = 210 cases) and France (n = 220 cases) demonstrated similar improvement of DNA ploidy prognostic significance, P < 0.02 to P < 0.0009 and P < 0.12 to P < 0.002, respectively. Three other adjustments were applied to diploid and aneuploid S-phases. These adjustments eliminated a spurious correlation between DNA ploidy and S-phase and enabled them to combine independently into a powerful prognostic model capable of stratifying patients into low, intermediate, and high-risk groups (P < 0.000005). When the Baylor prognostic model was applied to the Sweden and French databases, similar significant patient stratifications were observed (P < 0.0003 and P < 0.00001, respectively). The successful transference of the Baylor prognostic model to other studies suggests that the proposed adjustments may play an important role in standardizing this test and provide valuable prognostic information to those involved in the management of breast cancer patients.     

Morphometric prognostic index in breast cancer

OBJECTIVE: To assess the ability of the morphometric prognostic index (MPI) in predicting clinical outcome in a group of breast cancer patients with short-term follow-up and to assess the relationship between MPI and other prognosticators. STUDY DESIGN: The study group consisted of 63 cases of breast cancer. Follow-up data were available for 48 patients. MPI values were calculated, and degree of nuclear and tubular differentiation was investigated in each tumor. S-phase fraction (SPF), estrogen and progesterone receptors were also studied. RESULTS: The group of patients with MPI values < 0.60 had percent values of disease-free survival significantly higher than did those with MPI values > or = 0.60. Furthermore, significant direct correlations were found between MPI and degree of nuclear atypia and between MPI and SPF. Significant inverse relationships were found between MPI and tumor progesterone receptor levels and between MPI and degree of histologic tubular differentiation. CONCLUSION: The validity of MPI as a prognosticator in breast cancer was confirmed, even in a limited number of patients observed in short-term follow-up. MPI seems to be a reliable and economical prognosticator in selecting breast cancer patients for adjuvant chemotherapy.     

Dilution effect of nontumor cells on flow cytometric DNA S-phase fraction in breast cancer fine needle aspirates

OBJECTIVE: To analyze the proportion of nontumor cells in fine needle aspirates of breast carcinoma and its influence on flow cytometric S-phase fraction (SPF) estimation. STUDY DESIGN: We analyzed the proportion of nontumor cells in fine needle aspiration biopsy smears, performed flow cytometric analysis of DNA ploidy and SPF on freshly aspirated tumor material and analyzed histograms manually and automatically using Multi-Cycle AV software (Phoenix Flow Systems, San Diego, California, U.S.A.) for cell cycle analysis. We corrected SPF of diploid tumors for the dilution effect using an individually established percentage of nontumor cells (individual correction) and the mean proportion of nontumor cells in diploid tumors (factor correction). RESULTS: The proportion of nontumor cells ranged from 0.5% to 76.6% (mean, 12.6; SD, 15.7) in 55 diploid tumors and from 0.5% to 53% (mean, 8.6; SD, 8.9) in 84 aneuploid tumors (p=0.178). In 14 of 139 (10%) samples, the proportion of nontumor cells exceeded 20%. The mean SPF values of diploid tumors without correction were 4.9% (manually) and 6.5% (automatically) and of aneuploid tumors, 9.5% and 11.0%, respectively. In univariate Cox survival analysis, noncorrected SPF was a significant prognostic factor in overall survival (p < 0.001). Neither individual nor factor correction of SPF significantly changed its prognostic value. CONCLUSION: Fine needle aspirates contain low proportions of nontumor cells, having an insignificant dilution effect on SPF estimation. Most probably, SPF could be reliably estimated usingfreshly aspirated tumor material without any correction or adjustment.     

Role of DNA aneuploidy, overexpression of p53 gene product, and cellular proliferation in the progression of gastric cancer.

DNA aneuploidy, p53 overexpression, and high cell proliferation frequently occur in gastric cancer. However, little is known about the time of their appearance throughout cancer progression. Therefore, the objective of the present study was to determine when such abnormalities occur during gastric cancer progression. We classified the gastric cancers examined into intestinal (n = 65) and diffuse (n = 34) types. DNA ploidy was examined using flow cytometry and expression of MIB-1 and p53 immunoreactivity were studied using the avidin-biotin complex method in three stages of gastric cancer (mucosal, submucosal, deeply invasive cancer, i.e., advanced cancer). The incidence of DNA aneuploidy in intestinal-type mucosal cancers (15/27, 55.6%) was lower than that of submucosal invasive cancers (14/16, 87.5%) or advanced cancers (19/22, 86.4%), while a low incidence of DNA aneuploidy was observed in each diffuse-type cancer group (mucosal, 1/12, 8.3%; submucosal invasive, 3/9, 33.3%; advanced, 8/14, 57.1%). Although overexpression of the p53 gene in intestinal-type cancer was found in early stage, that in diffuse-type cancer was observed in advanced stage. Among the intestinal-type mucosal cancers, the MIB-1 percent positive was higher in aneuploid tumors than diploid ones. DNA aneuploidy and overexpression of the p53 gene may play an important role in the early tumorigenesis of intestinal-type gastric cancer and in the late event of tumorigenesis of diffuse-type gastric cancer.     

Prognostic value of S-phase fraction in 920 breast cancer patients: focus on T1N0 status

The aim of this study was to reexamine the prognostic role of tumor cell kinetics measured by S-phase fraction (SPF) and to establish its clinically relevant threshold values. SPF was determined by flow cytometry in a group of 920 consecutive breast cancer patients, all followed at our institute for 10 years (1988 to 1998). Mean age was 60.5 years (27-89 years). Median follow-up was 63 months (3-150 months). All patients had initial surgical treatment. SPF quartiles were: Q1=3.08%, median value = 5.98%, Q3=10.22%. A significant difference in overall specific survival was obtained between two populations divided by a cutoff at Q1 (p < 0.0001). A multifactorial analysis including SPF and known prognostic factors such as tumor size, node status, histological grade, ER and PR status was performed using the Cox model in a population of 719 patients: univariate analysis showed that each of these factors had significant influence on overall survival. Multivariate analysis selected three of them, ranked by decreasing order of hazard ratio (HR) value: SPF (HR: 3.88, p < 0.001), tumor size (HR: 2.49, p < 0.001) and nodal status (HR: 2.28, p < 0.001). In addition, when tumors were stratified according to SPF quartile values, there were statistically different overall survival curves in patients with small tumors (< 2 cm) and in axillary node-negative patients.