Correlation of grade of urothelial cell carcinomas and DNA histogram features assessed by flow cytometry and automated image cytometry.

OBJECTIVE: To analyse how DNA ploidy and S-phase fraction (SPF) by flow cytometry (FCM) and an optimised fully automatic DNA image cytometer (ICM) correlate with grade in TaT1 urothelial cell carcinomas (UC) of the urinary bladder. MATERIALS AND METHODS: Two-hundred-and twenty-eight consensus cases were analysed. Single cell suspensions were stained (DAPI for FCM, Feulgen for ICM). There was enough material for both FCM and ICM in 202 of these cases. FCM and optimised ICM measurements were performed on the 202 UCs. To discriminate between different grades, single- and multivariate analyses was performed on DNA histogram features obtained with the MultiCycle program (using DNA index (DI) and SPF). RESULTS: Overall measurement time of the adapted ICM method was 10.7 minutes per case (range 5.9-29.8 min.) and required little additional interactive object rejection (average 152 objects (84-298) on 3000 objects per case measured, which took 9.9 minutes on average, range 8.3-15.5 minutes). The ICM histograms looked much "cleaner" with less noise than the FCM graphs. The coefficient of variation (CV) of the diploid peak for ICM (5.4%) was significantly lower than for FCM (5.9%) (p<0.0001). ICM features were more strongly correlated to grade than FCM features. In multivariate analysis, the best discriminating set of features was DNA ploidy and SPF (both by ICM). CONCLUSIONS: The adapted fully automated DNA ICM works very well for UCs. Low CV DNA ICM histograms are obtained in a time comparable to FCM. The DNA ICM results have stronger discriminative power than DNA FCM for grade in TaT1 UCs.     

Flow cytometric DNA analysis on fine needle aspiration biopsies of liver lesions

Flow cytometric DNA analysis on fine needle aspiration biopsies of liver lesions The DNA cell content of 39 fine needle aspiration biopsies (FNAs) from five benign liver lesions, nine hepatocellular carcinomas (HCCs), and 25 metastatic tumours was analysed in a prospective fashion by flow cytometry (FCM). All benign lesions were diploid. Aneuploidy was found in five (55.6%) HCCs and in nine (36%) metastatic tumours. DNA index (DI) differences were not significant. The S-phase fraction (SPF) was higher in the malignant tumours, both combined (P < 0.02) and separated primary and metastatic (P < 0.05). We could not demonstrate an association between diploidy and percentage of benign hepatocytes in the smears of malignant tumours. The serum alpha-fetoprotein (AFP) level did not correlate with ploidy, DI, or SPF in the HCCs. In conclusion, ploidy and DI do not discriminate between benign and malignant liver lesions, but the SPF is higher in malignant tumours. DNA analysis does not help to distinguish primary from metastatic liver tumours. The presence of benign hepatocytes in samples from malignant tumours does not seem to influence the analysis of ploidy by FCM.     

Biological characterisation of superficial bladder cancer by bivariate cytokeratin 7/DNA analysis, flow cytometric assessment of MIB- 1, and an immunohistochemical study.

A total of 238 cases of bladder carcinoma stages Ta, Tis, T1 were submitted prospectively to multiparameter flow cytometry and immunohistochemical study in order to determine the biological aggressiveness of the tumour. DNA index (DI), S-phase fraction (SPF) obtained by bivariate cytokeratin 7/DNA analyses, and the immunohistochemical evaluation of p53 and MIB-1 were studied in relation to the traditional prognostic factors in bladder cancer (stage and grade). the variance analysis results showed that DNA aneuploidy was significantly associated with high stage (p = 0.0001), high grade (p = 0.0001), high SPF value > or = 5.5% (p = 0.0001), MIB-1 positivity > or = 31% (p = 0.0001) and high expression of p53 (staining involving > 50% of cells, p = 0.0001). Even if there was no statistical significance the hypotetraploid class (1.70 < DI < 1.89) showed poor prognostic biomarkers more frequently than the other aneuploid classes. Out of 238 cases, 101 were also submitted to flow cytometric measurement of MIB-1 (fMIB-1) to study the correlation between cell proliferation and DNA content. Data obtained from fresh, 3:1 methanol/acetone fixed samples were compared with values obtained from both cell cycle analysis methods and routine application of the MIB-1 immunostaining in histological sections. fMIB-1 values were positively correlated with SPF values (r = 0.801, p < 0.01) and S+G2M fraction (percentage of cells in S and in G2M phases) (r = 0.763, p < 0.01) but no correlation with paraffin sections was found. A fMIB-1 value > 7% was strongly associated with aneuploidy (p = 0.0001). The determination of DNA content coupled with the study of the epithelial (cytokeratin 7) and proliferative (MIB-1) markers could be useful in providing important information on the biological behaviour of superficial bladder tumours.     

DNA quantification in colorectal carcinoma using flow and image analysis cytometry

Numerous studies using flow cytometry (FCM) have shown that DNA quantification and ploidy classification can provide information of prognostic significance for patients with colorectal carcinoma; recent advances in image analysis cytometry (image cytometry, ICM) provide a new, alternative technique for DNA quantification. This study investigated whether (1) patients with colorectal carcinomas that exhibit a diploid pattern of DNA distribution have improved five-year survival statistics as compared to their non-diploid counterparts and (2) ICM provides quantitative data comparable to that obtained by FCM. DNA quantification and ploidy classification of 27 cases of primary colorectal carcinoma was performed on archival paraffin-embedded tissue by both FCM and ICM; 70% (19) of the tumors were classified as nondiploid by ICM while 56% (15) were similarly classified by FCM. Diploid tumors were associated with Dukes' stage A while nondiploid tumors were associated with Dukes' stage D. The overall five-year survival rate was 75% for patients with ICM diploid tumors and 67% for patients with FCM diploid tumors. The five-year survival was only 53% for patients with nondiploid tumors identified by both techniques. This study confirmed that DNA quantification is an important prognostic indicator for patients with colorectal carcinoma. It also showed that ICM provides data comparable to that of FCM and may be more sensitive.     

DNA quantitation of distal bile duct carcinoma measured by image and flow cytometry

OBJECTIVE: To evaluate discrepancies between flow cytometry (FCM) and image cytometry (ICM), ploidy incidence and relation between DNA ploidies and survival in distal bile duct carcinomas (DBDCs). STUDY DESIGN: Forty-four archival tumor samples from patients with DBDC who underwent subtotal pancreatoduodenectomy from 1985 to 1996 were examined for DNA ploidy using FCM and ICM. RESULTS: Overall, 59% (26/44) of the tumors were aneuploid by at least one of the two techniques. We detected more cases of aneuploidy with ICM than FCM in formalin-fixed, paraffin-embedded DBDCs, 62% (21/34) versus 33% (13/40), respectively. When results could be compared, moderate strength of agreement (kappa = .45) was demonstrated. No correlation was found between DNA ploidy by FCM, ICM or combined FCM-ICM and survival time (P = .80, P = .35, and P = .54, respectively). CONCLUSION: Approximately 59% of DNA histograms contained aneuploid cell populations. Although ICM, as compared to FCM, is more sensitive in assessing the ploidy status of DBDC, both methods were complementary. Most discrepancies between FCM and ICM were due to the dilution of aneuploid populations by non-neoplastic diploid cells. DNA ploidy assessment in DBDC did not offer the possibility of improving the ability to predict survival.     

Comparison between flow cytometry and image cytometry in ploidy distribution assessments in gynecologic cancer.

The DNA content in 37 tumors from 34 women with gynecological cancer was measured by flow cytometry (FCM) and interactive image cytometry (ICM). Agreement was obtained in 81% of cases as regards ploidy levels, but seven tumors (19%) showed different ploidies. Of these, five were classified as diploid by FCM but either aneuploid (three cases) or polyploid (two cases) by ICM. Two other tumors were aneuploid by ICM but polyploid (one case) and unclassifiable (one case) by FCM. All tumors classified as aneuploid by FCM were also aneuploid by ICM, and all tumors classified diploid by ICM were also diploid by FCM. Of six patients whose tumors were classified as euploid (five diploid and one polyploid) by FCM but classified as aneuploid by ICM, five relapsed, and three of these have died of disease. On the basis of these findings, it is concluded that ICM must be performed in cases classified as diploid by FCM to ensure that small subpopulations of aneuploid tumor cells are not overlooked.     

Flow and image cytometric DNA ploidy,including 5c exceeding cells,of serous borderline malignant ovarian tumors. Correlation with clinicopathologic characteristics

OBJECTIVE: To analyze DNA ploidy of serous borderline ovarian tumors by flow cytometry (FCM) and image cytometry (ICM), with 5c exceeding cells also analyzed, and to evaluate their correlation with clinicopathologic characteristics of patients and tumors. STUDY DESIGN: Cell suspensions were prepared according to a modified Hedley method from formalin-fixed, paraffin-embedded tissue blocks of 43 tumors. One part of the suspension was used for flow cytometric measurement; from the other part, filter slides were prepared for ICM. RESULTS: FCM and ICM found 2 aneuploid (peridiploid) serous borderline ovarian tumors, and FCM found 1. ICM found 3 tumors with 5c exceeding cells and 2 tumors with octaploid cells. There was no correlation between DNA aneuploidy and presence of 5c exceeding cells with tumor size, International Federation of Gynecology and Obstetrics stage or survival. CONCLUSION: The results confirm a good correlation between FCM and ICM DNA ploidy and the ability of ICM to detect 5c exceeding cells. The prognostic value of DNA ploidy and 5c exceeding cells in serous borderline malignant ovarian tumors warrant further evaluation.     

DNA ploidy in soft tissue sarcoma: comparison of flow and image cytometry with clinical follow-up in 93 patients

In soft tissue sarcoma, the prognostic importance of DNA ploidy status is limited. One possible explanation may be technical; small non-diploid stemlines will be diluted in relation to the presence of normal diploid cells and may not be detected by flow cytometry (FCM). We assessed DNA ploidy status in 93 tumors with both FCM and image cytometry (ICM). ICM may permit the exclusion of non-relevant cells. The ability of the two methods to detect non-diploid stemlines was compared, as were the prognostic consequences. The patients (54 males) had a median age of 69 years. Surgical procedures were performed on all patients. None of the patients had received preoperative radiotherapy or chemotherapy. FCM and ICM were performed with standard methods. The prognostic value was assessed with univariate and multivariate analysis. In 82 of the 93 tumors, a concordant ploidy status by FCM and ICM was found. In 5 FCM type 1-2 tumors (diploid), the identification of non-diploid stemlines by ICM did not influence the metastatic rates. Increasing tumor size, histotype other than liposarcoma, increasing malignancy grade, tumor necrosis, and ICM non-diploidy were univariate prognostic factors for metastasis. In a multivariate analysis, only tumor size larger than 9 cm was a prognostic factor. In about 10% of the tumors, a discrepancy between FCM and ICM ploidy status was found, but we could not find a consistent prognostic consequence of this. Neither FCM nor ICM ploidy status was an independent prognostic factor.     

DNA quantification of squamous cell carcinoma of the oesophagus by flow cytometry and cytophotometric image analysis using formalin fixed paraffin embedded tissue.

This is the first comparative study of DNA quantification of oesophageal squamous cell carcinoma by flow cytometry (FCM) and image cytometry (ICM) using formalin fixed paraffin embedded tissue. The potential advantages of ICM include the identification of a reliable control cell population; avoidance of non-tumour stromal and inflammatory cell nuclei, nuclear fragments, degenerate cell nuclei and doublets, triplets etc., which are not possible with FCM using archival tissue. Twenty-eight cases, all of the same stage (stage 2a) and similar grade (well or moderately differentiated) were analysed. The cases were separated into two groups, those that had succumbed to tumour in less than 18 months (group A) and those that were tumour free at least 18 months post-resection (group B). Using ICM all 28 tumours yielded interpretable histograms by comparison to 25 of 28 using FCM. Aneuploidy was identified in 100% of cases in group A using ICM (in comparison to 73% by FCM) and in 73% of group B using ICM (in comparison to 44% by FCM). Any tumour aneuploid by FCM was also aneuploid by ICM. Nine cases aneuploid by ICM were euploid by FCM. The mean 5C exceeding rate (% of cells whose nuclei contain a DNA mass equivalent to > 5 sets of 23 chromosomes) was 21% in group A and 14% in group B (P < 0.01). Euploidy was confined to tumours of those patients disease free for more than 18 months. The conclusions of this study are that: firstly, ICM is superior in its yield of interpretable histograms to FCM using formalin fixed paraffin embedded tissue; secondly, ICM is more sensitive in the identification of aneuploid stemlines than FCM; and thirdly, euploid tumours (as detected by ICM) appear to have a better prognosis than aneuploid tumours of similar stage and grade.     

Histological grading, DNA content, cell proliferation and survival of patients with astroglial tumors

Light microscopy, image cytometry (ICM), and flow cytometry (FCM) were used to study the degree of differentiation, DNA content, and S-phase of astrocytomas and glioblastoma multiforme in 102 patients. The postoperative real survival time (RST) was also studied. Using ICM, 62 astrocytomas were investigated. Grade I astrocytomas were composed of DNA-diploid cell lines, while grade III and glioblastoma multiforme consisted predominantly of DNA-aneuploid lines. Moderately differentiated astrocytomas were divided as follows: 14 DNA-diploid and 18 DNA-aneuploid. Forty astrocytomas were studied by FCM. Using the DNA index (DI) value, cases with abnormal DNA cell lines were established in all astrocytomas, with their number increasing in grades II and III astrocytomas. FCM indicated the same subdivision of moderately differentiated astrocytomas: 12 with DNA-diploid and 12 with DNA-aneuploid stem lines. Patients with DNA-diploid cell lines in the astrocytomas and low S-fraction survived longer than patients with abnormal DNA cell populations and higher S-fraction. The results from this study indicate that, together with the degree of differentiation of astroglial tumors, the appearance of cell lines with abnormal DNA value and higher S-fractions also have prognostic value.     

Flow and image cytometry in thymic neoplasia: correlation with clinical outcome

OBJECTIVE: To compare nuclear DNA by flow (FCM) and image cytometry (ICM) in thymic neoplasms and to relate results to clinical outcome. STUDY DESIGN: DNA ploidy of 44 thymomas and 6 thymic carcinomas was studied by FCM and ICM of single nuclear suspensions from paraffin blocks. RESULTS: By FCM, 33 thymomas (75%) and one thymic carcinoma (17%) were diploid; 6 thymomas (14%) and 4 thymic carcinomas (67%) were aneuploid. By ICM, 36 thymomas (82%) were diploid; 7 thymomas (16%) and 6 thymic carcinomas (100%) were aneuploid. Mean follow-up in 44 cases was 46.2 months (range, 1-162). Ten patients with persistent/recurrent disease included four with thymic carcinoma, who died of the disease (two aneuploid by both techniques, two aneuploid by ICM with unsatisfactory/diploid FCM). Four had invasive thymoma and recurrence after 13-150 months (two diploid and two aneuploid by both methods), one had diploidy and noninvasive thymoma that recurred at 92 months, and one had an epithelial thymoma that recurred at 144 months (aneuploid by FCM, diploid by ICM). CONCLUSION: The results obtained in this preliminary, retrospective study show a high concordance between FCM and ICM; aneuploidy correlated with poor outcome by both methodologies. While these findings are encouraging, larger numbers of cases will be needed to define the role of FCM and ICM in predicting outcome in thymic tumors.     

Proliferative activity in invasive breast carcinoma: a comprehensive comparison of MIB-1 immunocytochemical staining in aspiration biopsies to image analytic, flow cytometric and histologic parameters.

OBJECTIVE: To use MIB-1 antibody to assess proliferative activity in fine needle aspiration (FNA) samples of invasive breast carcinoma and compare these results to multiple other measures of proliferative activity. STUDY DESIGN: FNA slides from 62 patients with invasive breast carcinoma were subjected to staining with MIB-1. Quantitative MIB-1 values were compared to image analytic proliferative fractions (IPF) obtained from the same FNAs. MIB-1 values were also compared to flow cytometric S-phase fractions (SPF) and S + G2/M-phase fractions (FPF) and to histologic assessment of mitotic count (MC) in resected tumors. RESULTS: MIB-1 values, IPF, SPF, FPF and MC were suitable for evaluation in 55, 53, 50, 50 and 56 cases, respectively. MIB-1 values showed good correlation with IPF in FNAs (correlation coefficient = .57, P <.00001). MIB-1 values also showed correlation with SPF (correlation coefficient =.447, P = .003), FPF (correlation coefficient = .325, P = .023) and MC (correlation coefficient = .402, P = .01) in resected tumors. CONCLUSION: This study supports the use of MIB-1 values obtained from FNA samples for assessment of proliferative activity in invasive breast carcinoma, based on correlation of these values with multiple other parameters of proliferative activity. Assessment of these values can play a role in predicting prognosis and in selecting patients with invasive carcinoma of the breast for preoperative or adjuvant chemotherapy.     

DNA microspectrophotometry of bone sarcomas in tissue sections as compared to imprint and flow DNA analysis

The aim of the present study was to establish an upper limit of diploidy for microspectrophotometric (MSP) DNA measurements in sections of mesenchymal tissue analyzing DNA data of a large number of normal cell populations. The reliability of this upper limit of diploidy for discriminating between diploid and hyperploid bone sarcomas was tested by analyzing the same tumors by MSP in imprint preparations and flow cytometry (FCM). The median DNA value of control cells in tissue sections was given arbitrary value of DNA index (DI) 1.0, denoting the diploid DNA content. The proportion of cells with DNA values exceeding DI 1.25 (greater than DI 1.25) was determined for each normal cell population. The maximum percentage of cells with DNA values exceeding DI 1.25, encountered by analysis of 91 normal cell populations in tissue sections, was 31%. This percentage was set as an upper limit of diploidy. Hence, tumors with a higher percentage of cells greater than DI 1.25 were classified as hyperploid. When we applied this criterion, 31 of 36 sarcomas analyzed by MSP in tissue sections were hyperploid, which was in complete agreement with FCM and MSP in imprints of the same tumors. Apart from discriminating between diploid and hyperploid tumors, an attempt was made to determine peak DNA values of sarcomas analyzed in tissue sections. Peak DNA values, as defined by a minimum of 30% of the cells within a class width of DI 0.25, could be determined for 23 of 36 tumors. These peak DNA values correlated well with corresponding peaks obtained by FCM.(ABSTRACT TRUNCATED AT 250 WORDS)     

Flow cytometric analysis of human breast tumors and assessment of in vitro chemosensitivity by clonogenic assays

We report a double-agar clonogenic system adapted to human breast cancer. We optimized the conditions for cell growth and clonogenicity with respect to hormones (insulin, estradiol, progesterone) and components of the extracellular matrix (collagen, laminin and fibronectin). Using our experimental improvements, 67% of the breast tumor samples received were grown successfully. Tests on 21 tumors with three agents: Doxorubicin, Methotrexate and 5-Fluorouracil permit objective discrimination of the in vitro pharmacosensitivity of human breast tumors. Flow cytometric analysis reveal that 64% of the tumors were diploid and 36% were aneuploid. The aneuploid tumors grew better in the double agar layer system used for the clonogenic assay. The diploid tumors were especially rich in estrogen (ER⁺) and progesterone (PR⁺) receptors whereas the aneuploid tumors were mostly estrogen and progesterone receptors negative (ER^–/PR^–). Finally, we noted no difference in drug responsiveness depending on the tumor ploidy and steroid receptor content.Abbreviations DCC dextran coated charcoal - DI DNA index - DXB Doxorubicin - ECM extracellular matrix component - ER estrogen receptors - FCM flow cytometry - 5-FU 5-Fluorouracil - HTSCA human tumor stem cell assay - MTX Methotrexate - PBC primary breast carcinoma - PI proliferative index - PR progesterone receptors - SPF S phase fraction     

The role of DNA flow and image cytometry in the evaluation of body cavity fluids

In addition to conventional cytomorphologic study, 50 body cavity fluid specimens (benign and malignant) were analyzed by both flow cytometry (FCM) and image cytometry (ICM) in order to evaluate the potential application of these techniques in the diagnosis of malignancy. While 88% of the fluids were similarly classified by FCM and ICM as being either diploid (66%) or nondiploid (22%), with similar DNA index values, nondiploid peaks were identified by ICM alone in 12% of the fluids. Aneuploid populations were present in 92% of the cytologically positive fluids and in 15% of the cytologically negative fluids. All of the latter fluids came from patients who clinically had tumors involving the respective body cavities. These results show that (1) both FCM and ICM are useful adjuvant techniques in the evaluation of body cavity fluid specimens and (2) ICM is superior to FCM in the identification of small aneuploid subpopulations. The identification of aneuploid populations by either method is highly suggestive of malignancy.     

Image cytometric DNA analysis in human breast cancer analysis may add prognostic information in diploid cases with low S-phase fraction by flow cytometry.

Measurements of DNA ploidy can be performed either with image cytometry (ICM) or flow cytometry (FCM); both methods provide independent prognostic information in primary breast cancer. The aim of the present investigation was to compare the two methods and to relate the findings to prognosis (median follow-up 42 months). Concordance in ploidy status (diploid, tetraploid, aneuploid) was obtained in 76% of the samples (168/222). When the fraction of S-phase cells (SPF) from FCM analysis was also taken into consideration, four different groups of samples were obtained (Flow I-IV), which were considered to correspond to the Auer classification (Auer I-IV) of DNA histograms obtained from image cytometry. Complete concordance between the two techniques now was 70% (155/222). Samples classified as Flow I (diploid or near-diploid with low SPF) and Auer I had a distant metastasis rate of 3/60 (5%), as compared to 62/154 (40%) for all other combinations of the Flow and Auer classifications taken together. Thus, the only findings of prognostic importance were that some samples were Flow I but not Auer I, or vice versa. These two groups represent 17 (7.7%) and 14 (6.3%), respectively, of the total number of samples, and had frequencies of distant metastasis similar to those of the other high-risk groups, namely, 7/17 and 5/14, respectively. In a multivariate analysis, flow cytometric S-phase value was a stronger prognostic factor than either the Flow and Auer classification. We conclude that when routine FCM DNA analysis is used, diploid or near-diploid samples with a low S-phase value should be reanalyzed with ICM.     

Automated analysis of rat breast tumors. Comparison of four methods

Chemically-induced malignant rat breast tumors pose diagnostic dilemmas since the majority are well-differentiated, noninvasive papillary lesions that are barely distinguishable from benign papillary lesions. This study compared several automated modalities to see which best separated benign from malignant breast tumors. Thirty-three carcinogen-induced rat breast tumors (13 adenomas, 10 papillary carcinomas and 10 invasive carcinomas) were evaluated by static (image) cytometry (ICM) of integrated optical density, by flow cytometry (FCM) and by two automated morphometric protocols, contextual analysis and single-gland analysis. DNA ploidy analysis, by either ICM or FCM, did not discriminate between the benign and malignant tumors. Contextual analysis correctly identified 11 of 13 benign and 17 of 20 malignant lesions (P less than .01). Single-gland analysis correctly identified all 13 benign and 17 of 20 malignant lesions (P less than .01). No method distinguished invasive from noninvasive carcinomas. The data suggest that architectural features are more important than nuclear features in differentiating benign from malignant rat breast tumors.     

Efficacy of combined image and flow cytometric DNA assessments in human breast cancer: a methodological study based on a routine histopathological material of 2024 excised tumour specimens

In 2024 excised specimens of malignant tumours of the female mammary gland. the nuclear DNA distribution pattern of the neoplastic cells was assessed by means of two procedures. One was image cytometry (ICM); here, all the 2024 samples were assessed. The other was flow cytometry (FCM) where 1336 specimens were analysed. In 829 of the 2024 tumour nodules the results of ICM and FCM could be compared. The efficacy of both techniques alone was about 80%; that of the combination was about 60%. In the ICM procedure the main reason for the reduction of samples was the failure to obtain representative specimens. The losses in the FCM method were due to poor quality of the histograms (too much background noise and too broad coefficients of variation). In addition, in as much as one third of all the cases, no specimens were set aside for FCM assessments. In 16% of the samples, where the results of the ICM assessment could be compared with those of the FCM analyses, completely diverging DNA ploidy patterns were obtained. The discrepancy was caused by differences in the interpretation of the histograms. In addition, the calculations of so-called S-phase fractions from the diploid FCM histograms was found to be associated with methodological errors, further contributing to differences in the DNA assessments by means of ICM and FCM. Nevertheless, it was advantageous to use combined ICM and FCM assessments, particularly in the interpretation of DNA histograms of uncommon types.     

The reliability of microspectrophotometric and flow cytometric nuclear DNA measurements in adenocarcinomas of the breast

The reliability of microspectrophotometric (MSP) and flow cytometric (FCM) nuclear DNA measurements has been studied in 50 human breast adenocarcinomas. The tumor material was obtained by means of fine-needle aspiration biopsy, and all samples except one were found to be highly representative. The results confirm earlier observations that a good correlation exists between modal value (MV) determined by MSP and DNA index (DI) determined by FCM. However, when tumors were classified into low and high malignant variants according to FCM/DI, FCM/S-phase percentages, and MSP histogram types, the concordance was less pronounced. This was found to be due mainly to the fact that in near-diploid tumors a discrepancy exists between MSP and FCM ploidy, as well as between MSP distribution pattern and the estimated percentages of cells in the S-phase region. Another source of discrepancy was observed in tumors with stemlines in the normal tetraploid region, including cells with highly scattered aneuploid DNA values. These tumors were judged by MSP as aneuploid/high malignant and by FCM as euploid/low malignant. In view of this discrepancy, we conclude that the simple determination of the stemline position by MSP/MV or FCM/DI is not sufficient for adequate cytochemical malignancy grading of breast carcinomas. We suggest that a combination of ploidy and percentage of cells scattered outside the modal peaks is a more sensitive method for optimal cytochemical malignancy grading in breast carcinomas.