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.     

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.     

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 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.     

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.     

Determination of DNA ploidy in archival tissue from non-Hodgkin's lymphoma using flow and image cytometry.

Paraffin-embedded tissue from a series of 40 cases of diffuse, large cell lymphoma was analyzed by both flow and image cytometry to compare the ability of these techniques to detect DNA aneuploid populations. Image cytometry (ICM) was performed both on nuclear suspensions and tissue sections. Twenty cases (50%) were non-diploid by at least one method of analysis. Twenty-five percent of the cases were aneuploid by flow cytometry (FCM) alone. The majority of these cases were near-diploid tumors which could not be resolved by ICM. Peri-tetraploid peaks were identified by ICM of tissue sections alone in 15% of the cases. There was an apparent loss of these peri-tetraploid cells during the preparation of the nuclear suspensions. The remaining cases showed a good correlation between all three methods in the determination of DNA ploidy. Flow and image cytometry are complimentary techniques when applied to archival tissue, however aneuploid populations may be missed if ICM is not performed on tissue sections.     

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.     

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.     

DNA ploidy in gastrointestinal B-cell lymphomas. An image analysis study of 43 cases

OBJECTIVE: To analyze the prognostic importance of DNA ploidy pattern on gastrointestinal (GI) B-cell lymphoma using image cytometry (ICM) and to compare the results with previously published flow cytometry (FCM) data. STUDY DESIGN: Forty-three cases of surgically resected primary GI B-cell lymphomas were examined. Thirty-eight tumors were located in the stomach, 2 in the small intestine, 1 in the large bowel and 2 in both the stomach and small intestine. Six cases were at stage E I 1, 15 at stage E I 2, 20 at stage E II 1 and 1 each at stages III and IV. Histologically, the lymphomas were classified as GI low grade marginal zone lymphoma of mucosa-associated lymphoid tissue (MALT) type (low grade, 12 cases), low grade MALT lymphoma with a high grade component (mixed type, 10 cases) and GI diffuse large B-cell lymphoma (DLBC) (high grade MALT lymphoma, 21 cases). After gross removal of nonneoplastic tissue, single cell suspensions were prepared from paraffin blocks and stained according to Feulgen. Ploidy analysis was done using a custom-made DNA cytometer and Optimas image analysis software (Optimas Corp., Seattle, Washington, U.S.A.). RESULTS: Aneuploidy was found in 42% (5/12 cases) of low grade MALT lymphoma, 90% (9/10 cases) of mixed type lymphoma and 100% (21/21 cases) of GI DLBCL. DNA ploidy had no significant impact on overall survival time (P = .73). CONCLUSION: ICM analysis showed a higher proportion of aneuploidy in GI lymphomas as compared to that in prior studies using FCM for ploidy determination. Whether DNA ploidy is an independent prognostic factor remains to be determined.     

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.     

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.     

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.     

DNA ploidy in breast lesions. A comparative study using two commercial image analysis systems and flow cytometry

DNA ploidy determinations on a series of 24 breast specimens were performed independently utilizing flow cytometry (FCM) and two separate commercially available computerized image analysis systems for image cytometry (ICM). The tissues analyzed were obtained from 20 carcinomas, 2 benign neoplasms and 2 benign reductive procedures. The results showed a close correlation between the DNA indices (DIs) obtained by all methods in 14 of the 24 cases. In four cases, all methods showed aneuploid peaks, but with differing DIs. In six cases (two benign and four malignant) FCM showed diploidy while ICM showed peridiploid cell populations. The results obtained with the two image analysis systems were in agreement for 20 of the 24 cases. ICM is an acceptable alternative to FCM for reproducible ploidy analysis. ICM-based measurements have the advantage of the visual discrimination of abnormal cells and therefore may have a greater sensitivity in identifying small aneuploid populations. Populations with DIs in the range of 1.0 to 1.3 need to be assessed carefully in ICM-based determinations due to the potential that these "aneuploid" peaks may represent shifted diploid populations.     

Cell cycle flow cytometric analysis in the diagnosis and management of colorectal carcinoma

OBJECTIVE: To establish prognostic models and protocols for individualized management in colorectal carcinoma patients based on both clinical and DNA flow cytometric parameters. STUDY DESIGN: Prospective study of 88 colon carcinoma patients with a minimum follow-up of 12 months, operated on with the intent to cure and not treated with radiotherapy or chemotherapy. All the cases were subjected to a clinical evaluation: age, sex, tumor localization and size, histologic grade, tumor stage, disease-free interval, survival and flow cytometric study (ploidy, DNA index and S-phase fraction [SPF]). RESULTS: From the total of 88 neoplasms studied, 56 (63.6%) were from males and 32 (36.4%) from females; 30 (34%) were located in the right side of the colon, 7 (8%) in the transverse colon and 51 (58%) in the left side of the colon. Eleven (12.5%) were stage I, 52 (59.1%) stage II and 25 (28%) stage III. Forty-two (47.7%) were diploid and 46 (52.3%) aneuploid. The S-phase mean was 14.6% (12% for diploids and 16.9% for aneuploids). During the follow-up period, 26.1% of diploid tumors recurred, whereas aneuploid tumors recurred in 36.9% (P < .05). SPF from diploid and aneuploid tumors was analyzed separately. CONCLUSION: Regarding relapse-free interval, the behavior of diploid tumors with a high SPF was similar to that of aneuploid ones. Two kinetic profiles were established, favorable (diploid tumors with low S phase) and unfavorable (diploid with high S phase and all aneuploid tumors), that had significant prognostic value for progression and survival and that allowed identification of patients at high risk of recurrence. We formulated a prognostic index according to SPF and tumor stage that has discriminatory capacity for biologic behavior in colorectal tumors.     

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.     

Cytokinetic analysis of lung cancer by bromodeoxyuridine labeling of cytology specimens

Recent flow cytometric (FCM) studies have indicated the prognostic value of S-phase cells (SPF) in lung cancer. More refined cytokinetic analysis can be obtained by dual-parameter FCM, labeling S-phase cells with 5-bromodeoxyuridine (BrdUrd), which can be detected using a monoclonal antibody (MoAb) to BrdUrd. Tumor cells obtained through bronchoscopic brush were incubated for 1 hr in RPMI 1640 medium with 10% fetal calf serum and 10 microM BrdUrd. After fixation in ethanol, pepsin treatment, and DNA denaturation, the nuclei were stained with anti-BrdUrd MoAb and propidium iodide. From 14 of 20 patients, sufficient material was obtained (three adenocarcinoma and seven squamous cell, one giant cell, and three small cell carcinoma). The measured SPF ranged from 5.2% to 26%. The labeling index (LI), calculated as the ratio of the number of BrdUrd-labeled cells to the total number of aneuploid cells, or diploid cells in the case of a diploid tumor, ranged from 1.2% to 16.7%; LI and SPF correlated significantly (r = 0.69). In this study, we have demonstrated the feasibility of determining the actively DNA-synthesizing cells on brush material from lung cancer cells. In addition, some extra information can be obtained about the SPF population, including the fraction of unlabeled SPF, which could be of prognostic significance.     

Comparison of image analysis with flow cytometry for DNA content analysis in pigmented lesions of the skin.

The DNA ploidy of 85 melanocytic skin lesions was determined by flow cytometry (FCM) and interactive image analysis (IA) using nuclear extracts of paraffin-embedded tissue. Of the 85 lesions analyzed, 43 were malignant melanomas in different stages of evolution, 15 were dysplastic nevi, 11 were Spitz nevi, and 16 were other types of nevi. Some of the last had features of congenital nevi. Within the melanoma category, there was 42% aneuploidy by FCM versus 56% by IA. Of those melanomas aneuploid by FCM, all but one were aneuploid by IA. All dysplastic nevi, 10/11 Spitz nevi and 15/16 other nevi were diploid by both methods. One of the 16 nevi from the "other types" category was tetraploid by IA but diploid by FCM. A single Spitz nevus was tetraploid by FCM but diploid by image analysis. While our results suggest that interactive IA is potentially a more sensitive method than FCM for detecting aneuploidy in cutaneous pigmented lesions, it remains to be shown whether this will translate into better prognostic assessment of the biologic behavior of melanocytic neoplasms than provided by flow cytometric ploidy analysis.