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.     

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 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.     

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.     

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.     

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.     

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.     

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.     

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.     

Image and flow cytometric analysis of DNA content in breast cancer. Relation to estrogen receptor content and lymph node involvement

A comparative flow-cytometric and image-cytometric study was performed on 166 human breast cancers. Parallel measurements of 67 cases showed a good correlation between the DNA indices measured with each of the techniques. However, minor ploidy abnormalities were detected with flow cytometry. Only with this technique about 70% of the tumors appeared to be aneuploid. DNA profiles obtained with image cytometry frequently contained DNA values above the modal G2 value of the tumor. At least part of these broadly scattered DNA profiles resulted from multiploid tumors, as was found with flow cytometry. The mean percentage of cells with DNA contents exceeding the modal G0G1 value in image-cytometric DNA profiles (non- G0G1 cells) appeared to be highest in aneuploid lymph-node-positive (N+) tumors and lowest in near-diploid lymph-node-negative (N-) tumors. Near-diploid tumors were more frequently (70%) estrogen receptor positive (ER+) than were aneuploid tumors (50%), whereas highly aneuploid tumors with low or negative ER contents tended to be N+. Tumors with a high percentage of non- G0G1 cells value were predominantly estrogen-receptor negative (ER-).     

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.     

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.     

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.     

Automated fluorescence image cytometry. DNA quantification and detection of chlamydial infections

Digitized fluorescence microscopy in conjunction with automated image segmentation is a promising approach for screening clinical specimens quickly and reliably. This paper describes the hardware and software of a prototype image-based cytometer that can identify fluorescent objects, discriminate true objects from artifacts and divide overlapping pairs of objects. The use of this image cytometer is discussed for: (1) the measurement of the DNA ploidy distribution of isolated mature rat liver nuclei labeled with 4',6-diamidine-2-phenylindole; (2) the comparison of the DNA ploidy distributions of the same samples measured by image cytometry (ICM) and flow cytometry (FCM); and (3) the quantification of chlamydial infection by double labeling cells with antichlamydiae antibody and Hoechst 33258 for nuclear DNA analysis. Ploidy distributions measured by the automated image cytometer compared favorably to those obtained by FCM. All pairs of overlapping nuclei were automatically detected by an additional computer algorithm, and those pairs that were clearly more than one nucleus by visual inspection were correctly divided. The irregular morphology of the chlamydiae-infected cells meant that 26% of them were not correctly identified in the fluorescein-stained images (as judged by manual inspection), but all cells were nevertheless detected correctly from the images of the Hoechst-stained samples. Automated fluorescence ICM yielded results similar to those obtained with FCM and had the additional benefit of maintaining cell and tissue architecture while preserving the opportunity for subsequent manual inspection of the specimen.     

Clinicopathological study of metallothionein immunohistochemical expression, in benign, borderline and malignant ovarian epithelial tumors

Metallothioneins (MTs) are a family of cystein-rich metal-binding proteins, which are expressed in normal cells during fetal and postnatal life but also in a variety of human neoplasms. MT expression in human tumors has been linked to resistance to anticancer drugs and differentiation and progression in some types of tumors. This study examined the immunohistochemical expression of MTs in benign, borderline and malignant tumors of ovarian surface epithelium and the possible correlations with clinicopathological parameters and survival. A total of 87 cases with diagnosis of ovarian surface epithelial tumors were included. Specifically, 21 cases of benign cystadenomas (11 serous and 10 mucinous), 14 borderline (low malignant potential tumors, 8 mucinous and 6 serous) and 52 cases of ovarian cancer were analysed. Immunohistochemical expression of MT (cut-off level > 10% of tumor cells) was clearly associated with malignancy. A statistically significant correlation was found between the expression of MT in cancer cases and benign tumors (p < 0.0001) and cancer cases and borderline tumors p = 0.003. In cancer cases a difference was observed between grade I and III (p = 0.002). There was no correlation of MT overexpression with survival in the small number of ovarian carcinoma patients where it was analysed. MT constitutes a marker that characterizes aggressiveness and a high malignant potential in ovarian epithelial tumors. In diagnostic problems MT may help distinguish between benign, borderline and malignant tumors.     

Interrelation of formalin fixation, chromatin compactness and DNA values as measured by flow and image cytometry

The severity and consistency of the effect of formalin fixation on the quantitation of DNA by flow cytometry (FCM) and image cytometry (ICM) were studied. As compared to ethanol, formalin fixation substantially decreased the propidium iodide fluorescence from mouse hepatocyte nuclei analyzed by FCM; it was also associated with an altered 4n-to-2n signal ratio and with false aneuploid peaks by FCM, but not by ICM (microspectrophotometry). ICM, on the other hand, suffered from a dependence of the DNA signal on nuclear size, which was not seen with FCM. The DNA signal variation was related to variations in the chromatin state, as shown by differences between monocytes and lymphocytes, and between RAJI cells fixed under various ionic strengths. The dependence of the DNA signal on the chromatin state indicates a need for caution in interpreting aneuploidy in formalin-fixed cells. For FCM, pseudoaneuploidy appears avoidable by using a Feulgen fluorescence staining technique. New imaging modes may be necessary to solve the problem of cell size dependence for ICM DNA determination.     

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.     

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.     

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.