Tumour heterogeneity of DNA cell cycle variables in breast cancer measured by flow cytometry

Past, Present and Future of Flow Cytometry in Breast Cancer - A Systematic Review

Breast cancer is the most common malignancy in women worldwide. In this systematic review 28 studies were taken into account, in order to evaluate the role of DNA content and cell cycle phases, measured by flow cytometry in breast cancer. Presence of aneuploidy and S-phase fraction have been extensively studied as a prognostication tool. With the current dawn of the age of intraoperative flow cytometry the present systematic review provide an insight of the current role of flow cytometry in breast cancer and future horizons.

Prognostic relevance of DNA flow cytometry in breast cancer revisited: The 25-year experience of the Portuguese Institute of Oncology of Lisbon

The potential prognostic significance of DNA flow cytometric measurements (DNA ploidy and S-phase fraction) in breast cancer remains in dispute. Inconclusive data, primarily due to the lack of consistent standardization and quality control programs, have limited its translation into clinical practice. The aim of the present review, based on the 25-year experience of the Portuguese Institute of Oncology of Lisbon, is to assess the clinical relevance and application of DNA flow cytometry for the prognosis of breast cancer. Overall, data from Portuguese Institute of Oncology of Lisbon indicate that DNA flow cytometry provides significant prognostic information that is biologically relevant and clinically useful for the management of patients with breast cancer. Furthermore, this data has demonstrated the independent value of DNA aneuploidy as a prognostic indicator of poor clinical outcome in various subgroups of patients with early or locally advanced breast cancer at short- and long-term follow-up. Notably, aneuploidy identifies subsets of patients with grade (G)1 or G2 tumours who exhibit a poor clinical outcome. These patients may benefit from adjuvant chemotherapy, particularly those with luminal A and luminal B/human epidermal growth factor-2-negative endocrine-responsive breast cancer. In conclusion, data from Portuguese Institute of Oncology of Lisbon reinforces the clinical importance and utility of DNA flow cytometric analysis, particularly DNA ploidy, in the prognostic assessment and therapeutic planning for patients with breast cancer.

Aneuploidy identifies subsets of patients with poor clinical outcome in grade 1 and grade 2 breast cancer

OBJECTIVE

Histological grade is a well-established prognostic/predictive factor in breast cancer. However, mainly within intermediate categories, patients may have unpredictable outcome. We hypothesised whether ploidy status can distinguish different prognostic groups among breast cancer patients with similar tumour grade.

MATERIAL AND METHODS

The study involved 684 patients with invasive breast carcinoma, and median follow-up of 134.5 months. Pathological staging was evaluated according to WHO classification. Tumour differentiation was assessed using the Nottingham grading system. Ploidy was determined prospectively by DNA flow cytometry. Disease-free survival (DFS) and overall survival (OS) were estimated by the Kaplan-Meier method.

RESULTS

There were 179 (26.2%) deaths and 239 (33.3%) disease recurrences. For grading, tumours were classified as follows: 163 (23.8%) G1, 356 (52.1%) G2 and 165 (24.1%) G3, while 389 (56.9%) tumours presented aneuploidy. Ploidy and grading are strongly associated (P < 0.001). Patients with aneuploid G2 tumours showed worse DFS (P = 0.001) and OS (P < 0.001), as well as those with aneuploid G1 tumours in relation to OS (P = 0.013). When a subset analysis was performed in early breast cancer patients (n = 451) with Stage I/IIA of disease, it remained the same significant associations of aneuploid G1 (to OS) and G2 tumours (to DFS and OS) with unfavourable prognosis.

CONCLUSIONS

Aneuploidy identifies subsets of breast cancer patients with G1 and G2 tumours who showed poor clinical outcome. The finding has therapeutic implications, as these patients are potential candidates to risk-adapted adjuvant therapy.

Intratumoral DNA content heterogeneity in breast carcinomas demonstrated by core punch tissue sampling and flow cytometry

Further to advancements in instrumentation and fluorescent dye technologies, there has been a resurgence of interest in the flow cytometric assay of formalin-fixed, paraffin-embedded specimens. Here we present a novel, simple and effective alternative to whole block sectioning that allows selective multisampling of tissues within a specimen block and the investigation of intratumoral heterogeneity. Formalin-fixed, paraffin-embedded breast carcinoma specimens were core-punched using 1.0 mm diameter needles and assayed by flow cytometry using a modified Hedley method. Intratumoral heterogeneity for DNA index and per cent S-phase fraction was detected in 10 of 23 (44%) and 11 of 23 (47%) specimens respectively. Macro-level genomic heterogeneity is common in breast cancer even within a single surgical specimen block. Studies investigating the relationship of DNA content heterogeneity to other markers of genomic instability such as mutations, deletions, insertions and translocations are warranted.

A novel, automated technology for multiplex biomarker imaging and application to breast cancer

AIMS

Multiplexed immunofluorescence is a powerful tool for validating multigene assays and understanding the complex interplay of proteins implicated in breast cancer within a morphological context. We describe a novel technology for imaging an extended panel of biomarkers on a single, formalin-fixed paraffin-embedded breast sample and evaluating biomarker interaction at a single-cell level, and demonstrate proof-of-concept on a small set of breast tumours, including those which co-express hormone receptors with Her2/neu and Ki-67.

METHODS AND RESULTS

Using a microfluidic flow cell, reagent exchange was automated and consisted of serial rounds of staining with dye-conjugated antibodies, imaging and chemical deactivation. A two-step antigen retrieval process was developed to satisfy all epitopes simultaneously, and key parameters were optimized. The imaging sequence was applied to seven breast tumours, and compared with conventional immunohistochemistry. Single-cell correlation analysis was performed with automated image processing.

CONCLUSIONS

We have described a novel platform for evaluating biomarker co-localization. Expression in multiplexed images is consistent with conventional immunohistochemistry. Automation reduces inconsistencies in staining and positional shifts, while the fluorescent dye cycling approach dramatically expands the number of biomarkers which can be visualized and quantified on a single tissue section.

Proliferative activity in Libyan breast cancer with comparison to European and Central African patients

Background. We evaluated the relation of proliferative indices with clinicopathological features and prognosis in breast cancer (BC) of Libyan female patients. The data were compared with corresponding results in Finland and Nigeria. Patients and Methods. Histological samples of breast cancer from 130 patients were retrospectively studied. Mitotic activity index (MAI) and standardized mitotic index (SMI) were estimated. Results. There were statistically significant correlations between the proliferative indices and most clinicopathological features, with the strongest association observed for histological grade (P = 0.01 for SMI and P = 0.003 for MAI). The proliferative differences between Libyan, Nigerian, and Finnish population were prominent. The mean values of SMI and MAI in Libyan BC patients were 32.1 mitotic figures per square millimeter and 27.3 mitotic figures per 10 high-power fields, respectively. This is clearly lower than those in Nigeria but much higher than those in Finland. The differences between countries are seen in whole material and are also present in subgroups. The results indicated that mitotic activities can be reliable prognostic indicators in Libyan BCs, as they were among Finnish and Nigerian females. Univariate and multivariate analyses found at cut-offs of 19 and 44 mitosis/mm² of SMI were the most significant prognostic factors. Conclusions. Proliferative indices with careful estimation of the MAI and SMI could be applied as quantitative criteria for Libyan BC to separate the patients into good, moderate, and bad prognosis groups.

'Go with the flow ': a review of methods and advancements in blood flow imaging

Physics has delivered extraordinary developments in almost every facet of modern life. From the humble thermometer and stethoscope to X-Ray, CT, MRI, ultrasound, PET and radiotherapy, our health has been transformed by these advances yielding both morphological and functional metrics. Recently high resolution label-free imaging of the microcirculation at clinically relevant depths has become available in the research domain. In this paper, we present a comprehensive review on current imaging techniques, state-of-the-art advancements and applications, and general perspectives on the prospects for these modalities in the clinical realm.

DNA ploidy is an independent predictor of survival in breast invasive ductal carcinoma: a long-term multivariate analysis of 393 patients

PURPOSE

To evaluate "classic" prognostic parameters, as well as DNA ploidy and S-phase fraction (SPF), in relation to disease-free (DFS) and disease-specific (DSS) survival in breast invasive ductal carcinoma (IDC) with long-term follow-up study.

METHODS

The study involved 393 patients with IDC and median follow-up of 134 months (50-240). Histological grading, tumor size, axillary nodal involvement, pathological staging and hormone receptor status were considered as established prognostic markers. Ploidy and SPF were determined prospectively by DNA flow cytometry using fresh/frozen tissue. A Cox regression model was used for statistical analysis of the prognostic variables.

RESULTS

There were 105 (26.7 %) deaths and 140 (35.6 %) disease recurrences during follow-up. Two hundred thirty-one (58.8 %) tumors were aneuploid. High SPF and aneuploidy were associated with tumors with higher grade of differentiation, greater size and negative hormone receptors. Higher SPF and advanced disease stage are correlated. In univariate analysis, all the clinicopathological and cytometric features, including patients <40 years and a subgroup presenting hypertetraploid/multiploid tumors, are significantly correlated with clinical outcome, apart from SPF and estrogen receptors for DFS. In multivariate analysis, nodal involvement, DNA aneuploidy and lack of progesterone receptors (for DSS) retained statistically significant association with shorter survival. In node-negative patients, ploidy (for DFS) and estrogen receptors (for DSS) significantly predicted survival. In both subgroups of node-positive patients and those (n = 195) with intermediate differentiation tumors (G2), aneuploidy was an indicator of worse prognosis.

CONCLUSIONS

Along with nodal status and hormone receptor expression, DNA ploidy is an independent predictor of long-term survival in IDC.

Cell proliferation parameters and apoptosis indices in pituitary macroadenomas

BACKGROUND

Pituitary adenomas are usually well-differentiated tumors but may show locally aggressive behavior.

AIM

To investigate the relationship between proliferation and apoptosis parameters and tumor recurrence in a series of 20 radically resected pituitary macroadenomas (11 functioning, 9 non-functioning).

MATERIALS AND METHODS

Proliferative activity and DNA ploidy were analyzed by flow cytometry (FCM) on fresh surgical specimens. Immunohistochemistry for Ki-67/MIB-1 and for the anti-apoptotic protein Bcl-2 was performed on paraffin-embedded specimens from the same tumors. Tumor regrowth was evaluated by magnetic resonance imaging (MRI).

RESULTS

Six adenomas recurred after surgery, regardless of hormonal hypersecretion. Pre-surgical tumor size was significantly higher in recurrent than in non-recurrent adenomas (p=0.003). Pre-surgical MRI demonstrated cavernous sinus (CS) invasiveness in all recurrent tumors, while none of the non-invasive adenomas recurred (p=0.042, by Fisher's exact test). The DNA content was aneuploid in 5/20 adenomas, one of which recurred. Cell percentages in the S (%SPF) and G2+M (%G2-M) phases and proliferative index (PI) (PI=%SPF+%G2-M) were significantly higher in aneuploid than in diploid adenomas (p<0.05), but no significant differences concerning all FCM parameters were observed between recurrent and non-recurrent adenomas. Similarly, MIB-1 did not show a significant difference of expression between recurrent and non-recurrent adenomas (p=0.33). Bcl-2 immunoreactivity was detected in 12/15 pituitary adenomas, involving 63±35% of tumor cells, regardless of tumor recurrence.

CONCLUSIONS

In this group of radically resected pituitary macroadenomas, neuroradiological finding of CS invasiveness--but not FCM parameters nor MIB-1 and Bcl-2 expression--is useful for predicting tumor recurrence.

Intratumoral heterogeneity of immunohistochemical marker expression in breast carcinoma: a tissue microarray-based study

Core needle biopsies of breast carcinomas provide diagnostic, prognostic, and predictive information before neoadjuvant therapy. Possible intratumoral heterogeneity of biomarker expression questions the validity of core needle biopsy interpretation in small biopsy specimens. Using tissue microarray (TMA) technology, we studied intratumoral heterogeneity of 7 immunomarkers. Five TMAs were constructed from 44 breast carcinomas and 5 normal breast tissues, each represented by 1-mm cores in triplicate from each of 3 foci. TMAs were immunostained for monoclonal estrogen receptor (ER), monoclonal progesterone receptor (PR), polyclonal human epidermal growth factor receptor 2 (HER2), monoclonal E-cadherin (E-cad), monoclonal epidermal growth factor receptor (EGFR), monoclonal p53, and monoclonal MIB-1. Expression was quantified visually by light microscopy and by image cytometry as intensity, percentage of cells positive, and score. Using intraclass correlation coefficient, heterogeneity in the expression of the immunomarkers within subjects was compared with the overall variance. Intratumoral heterogeneity was seen with 5 immunomarkers: ER, PR, HER2, p53, and MIB-1. E-cad and EGFR failed to show intratumoral heterogeneity. Intratumoral heterogeneity in ER, PR, HER2, p53, and MIB-1 indicates their problematic interpretation in small biopsy specimens as indicative of the status of the entire tumor. A negative result does not exclude the expression of these markers in the remainder of the tumor. E-cad (positive in ductal carcinomas) and EGFR lacked heterogeneity.

Neuronal DNA content variation (DCV) with regional and individual differences in the human brain

It is widely assumed that the human brain contains genetically identical cells through which postgenomic mechanisms contribute to its enormous diversity and complexity. The relatively recent identification of neural cells throughout the neuraxis showing somatically generated mosaic aneuploidy indicates that the vertebrate brain can be genomically heterogeneous (Rehen et al. [2001] Proc. Natl. Acad. Sci. U. S. A. 98:13361-13366; Rehen et al. [2005] J. Neurosci. 25:2176-2180; Yurov et al. [2007] PLoS ONE:e558; Westra et al. [2008] J. Comp. Neurol. 507:1944-1951). The extent of human neural aneuploidy is currently unknown because of technically limited sample sizes, but is reported to be small (Iourov et al. [2006] Int. Rev. Cytol. 249:143-191). During efforts to interrogate larger cell populations by using DNA content analyses, a surprising result was obtained: human frontal cortex brain cells were found to display "DNA content variation (DCV)" characterized by an increased range of DNA content both in cell populations and within single cells. On average, DNA content increased by approximately 250 megabases, often representing a substantial fraction of cells within a given sample. DCV within individual human brains showed regional variation, with increased prevalence in the frontal cortex and less variation in the cerebellum. Further, DCV varied between individual brains. These results identify DCV as a new feature of the human brain, encompassing and further extending genomic alterations produced by aneuploidy, which may contribute to neural diversity in normal and pathophysiological states, altered functions of normal and disease-linked genes, and differences among individuals.

Gross genomic damage measured by DNA image cytometry independently predicts gastric cancer patient survival

Background:

DNA aneuploidy reflects gross genomic changes. It can be measured by flow cytometry (FCM-DNA) or image cytometry (ICM-DNA). In gastric cancer, the prevalence of DNA aneuploidy has been reported to range from 27 to 100%, with conflicting associations with clinicopathological variables. The aim of our study was to compare the DNA ploidy status measured using FCM-DNA and ICM-DNA in gastric cancer and to evaluate its association with clinicopathological variables.

Methods:

Cell nuclei were isolated from 221 formalin-fixed, paraffin-embedded gastric cancer samples. DNA ploidy was assessed using FCM-DNA and ICM-DNA.

Results:

A total of 178 (80.5%) gastric cancer samples were classified as DNA aneuploid using FCM-DNA, compared with 172 (77.8%) gastric cancer samples when using ICM-DNA. Results obtained from both methods were concordant in 183 (82.8%) cases (κ=0.48). Patients with ICM-DNA diploid gastric cancer survived significantly longer than those with ICM-DNA aneuploid gastric cancer (log rank 10.1, P=0.001). For FCM-DNA data, this difference did not reach statistical significance. The multivariate Cox model showed that ICM-DNA ploidy status predicted patient survival independently of tumour-node-metastasis status.

Conclusion:

ICM-DNA ploidy status is an independent predictor of survival in gastric cancer patients and may therefore be a more clinically relevant read out of gross genomic damage than FCM-DNA.

Comparison of DNA histograms by standard flow cytometry and image cytometry on sections in Barrett's adenocarcinoma

Background

The purpose of this study was to compare DNA histograms obtained by standard flow cytometry (FC) and high fidelity image cytometry on sections (ICS) in normal gastrointestinal mucosa and Barrett's adenocarcinoma (BAC).

Conclusion

ICS detects DNA aneuploidy in all BAC samples while FC missed the diagnosis of aneuploidy in 29%. In addition, ICS provides more information on HI and G2 exceeding rates.

Intratumor heterogeneity of biomarker expression in breast carcinomas

Small biopsy samples are used increasingly to assess the biomarker expression for prognostic information and for monitoring therapeutic responses prior to and during neoadjuvant therapy. The issue of intratumor heterogeneity of expression of biomarkers, however, has raised questions about the validity of the assessment of biomarker expression based on limited tissue samples. We examined immunohistochemically the expression of HER-2neu (p185erbB-2), epidermal growth factor receptor (EGFR), Bcl-2, p53, and proliferating cell nuclear antigen (PCNA) in 30 breast carcinomas using archived, paraffin embedded tissue and determined the extent of intratumor heterogeneity. Each section was divided into four randomly oriented discrete regions, each containing a portion of the infiltrating carcinoma. For each tumor, the entire lesion and four regions were analyzed for the expression of these markers. Scores of both membrane and cytoplasmic staining of HER-2neu and EGFR, scores of cytoplasmic staining of Bcl-2, and scores of nuclear staining of both p53 and PCNA were recorded. The intensity of staining and the proportion of immunostained cells were determined. A semiquantitative immunoscore was calculated by determining the sum of the products of the intensity and corresponding proportion of stained tumor cells. We analyzed both invasive (IDC) and in situ (DCIS) carcinomas. The Wilcoxon signed-rank test was used for paired comparisons between overall and regional immunoscores and between overall and regional percentages of stained cells. Spearman's correlation coefficients were used to assess the level of agreement of overall biomarker expression with each of the regions. Generalized linear models were used to assess overall and pair-wise differences in the absolute values of percent changes between overall and regional expression of biomarkers. For IDCs, there were no statistically significant differences in the expression of the biomarkers in terms of either the percentage of cells staining or the immunoscores when comparing the entire tumor with each region except for the lower EGFR expression of arbitrarily selected region 1 and lower p53 expression of region 1 compared to that of the entire tumor section. For DCIS, there were no statistically significant differences in the expression of the biomarkers between the entire tumor and each region except in PCNA of region 2 compared to that of entire tumor section. Positive correlation of immunoscores was observed between the entire tumor and each region as well as across all four regions for IDC. Similar observations were noted with DCIS except for HER-2neu and PCNA. No statistically significant differences were observed in the absolute values of percent changes of biomarker expression between overall and the four regions for both DCIS and IDC. Therefore, no significant intratumor heterogeneity in the expression of HER-2neu, Bcl-2, and PCNA was observed in IDC. Minor regional variations were observed for EGFR and p53 in IDC. Similarly, no significant regional variation in the expression of markers was observed in DCIS except for PCNA.

Reduced growth, increased vascular area, and reduced response to cisplatin in CD13-overexpressing human ovarian cancer xenografts

PURPOSE

Expression of aminopeptidase N/CD13 can be detected in several solid tumor types. Thus far, the role of CD13 in ovarian cancer has not been studied. We have investigated the expression pattern and biological function of CD13 in ovarian cancer.

EXPERIMENTAL DESIGN

First, we studied the expression of CD13 in ovarian cancer tissue of 15 patients representing three different histological types (5 patients each) by immunohistochemistry. We then stably transfected the IGROV-1 human ovarian cancer cell line with a CD13 expression vector and examined the biological effect of CD13 in vitro and in vivo.

RESULTS

The expression of CD13 in ovarian cancer was associated with the histological subtype: CD13 expression in tumor cells was observed in 80-100% of the patients with a serous or mucinous carcinoma and in only 20% of the clear cell carcinoma patients. In all patients' tumor samples, CD13-positive blood vessels were present. CD13 overexpression in IGROV-1 cells did not affect in vitro cell growth and sensitivity to doxorubicin, cisplatin, or gemcitabine. CD13 overexpression reduced invasion in Matrigel, which appeared to be independent of the aminopeptidase activity of CD13. Furthermore, the growth rate of IGROV-1/CD13 xenografts was reduced. The area of the vessel lumens was enlarged in a small percentage of vessels in the CD13-overexpressing xenografts. In addition, the CD13-overexpressing tumors were less sensitive to cisplatin.

CONCLUSIONS

CD13 is expressed in tumor as well as endothelial cells in human ovarian cancer. Our results suggest that CD13 overexpression affects ovarian cancer growth, vascular architecture, and response to chemotherapy. Further elucidation of the mechanism of the observed effects of CD13 is warranted to better understand its role in the pathophysiology of ovarian cancer.

Prognostic value of proliferation in invasive breast cancer: a review

Breast cancer is the leading cause of death among solid tumours in women, and its incidence is increasing in the West. Adjuvant chemotherapy and hormonal treatment improve survival but have potentially serious side effects, and are costly. Because adjuvant treatment should be given to high risk patients only, and traditional prognostic factors (lymph node status, tumour size) are insufficiently accurate, better predictors of high risk and treatment response are needed. Invasive breast cancer metastasises haematogenously very early on, so many breast cancer prognosticators are directly or indirectly related to proliferation. Although studies evaluating the role of individual proliferation regulating genes have greatly increased our knowledge of this complex process, the functional end result-cells dividing-has remained the most important prognostic factor. This article reviews the prognostic value of different proliferation assays in invasive breast cancer, and concludes that increased proliferation correlates strongly with poor prognosis, irrespective of the methodology used. Mitosis counting provides the most reproducible and independent prognostic value, and Ki67/MIB1 labelling and cyclin A index are promising alternatives that need methodological fine tuning.

Validation of a tissue microarray to study differential protein expression in inflammatory and non-inflammatory breast cancer

AIMS

Inflammatory breast cancer (IBC) is an aggressive subtype of breast cancer with poor prognosis. The mechanisms responsible for the aggressive clinical evolution are incompletely understood. We constructed a tissue microarray (TMA) and validated its use in translational IBC research. Differential expression of proteins that might play a role in causing the IBC phenotype was studied.

METHODS AND RESULTS

A TMA containing 34 IBC and 41 non-stage matched non-IBC tumours was constructed. Five core biopsies were taken for each IBC and three cores for each non-IBC tumour. The TMA was validated using three approaches: (1) the excellent concordance between immunohistochemical results of the initial pathological examination and the results obtained with the TMA for ER, PR and HER2/neu (kappa > 0.74); (2) the known differential expression between IBC and non-IBC for four bio-markers in IBC (ER, PR, p53 and HER2/neu) was confirmed ( p < 0.01); (3) the HER2/neu status using three different antibodies (CB11, TAB250 and HercepTest) was highly concordant (kappa > 0.75). Furthermore, the overexpression of E-Cadherin and RhoC GTPase in IBC ( p < 0.05) was confirmed. We did not find a differential expression pattern for carbonic anhydrase IX (CA IX) and EGFR.

CONCLUSIONS

Using different approaches, we have validated the use of our TMA for studying differential protein expression in IBC and non-IBC. We confirm the overexpression of E-Cadherin and RhoC GTPase in IBC. The lack of differential expression for CA IX and EGFR might suggest the pathways are equally utilised in both types of breast cancer.

Reliability of tissue microarrays in detecting protein expression and gene amplification in breast cancer

Tissue microarrays allow high throughput molecular profiling of diagnostic or predictive markers in cancer specimens and rapid validation of novel potential candidates identified from genomic and proteomic analyses in a large number of tumor samples. To validate the use of tissue microarray technology for all the main biomarkers routinely used to decide breast cancer prognostication and postsurgical adjuvant therapy, we constructed a tissue microarray from 97 breast tumors, with a single 0.6 mm core per specimen. Immunostaining of tissue microarray sections and conventional full sections of each tumor were performed using well-characterized prognostic markers (estrogen receptor ER, progesterone receptor PR and c-erbB2). The full section versus tissue microarray concordance for these stains was 97% for ER, 98% for PR, and 97% for c-erbB2, respectively, with a strong statistical association (kappa value more than 0.90). Fluorescence in situ hybridization analysis for HER-2/neu gene amplification from the single-core tissue microarray was technically successful in about 90% (87/97) of the cases, with a concordance of 95% compared with parallel analyses with the full sections. The correlation with other pathological parameters was not significantly different between full-section and array-based results. It is concluded that the constructed tissue microarray with a single core per specimen ensures full biological representativeness to identify the associations between biomarkers and clinicopathological parameters, with no significant associated sampling bias.

Evaluation and reinforcement of the correlation of S-phase fraction with nodal metastases, tumor grade and tumor size in breast carcinoma patients in Pakistan

The aim of this study was to evaluate the S-phase fraction (SPF) of tumors in breast cancer patients in Pakistan. Its association with the traditional morphological prognostic markers, i.e., axillary lymph node metastasis, tumor size and grade, was also studied. Flow cytometry was used to estimate SPF on breast cancer tissues from 166 patients reported at the Aga Khan University Hospital between the years 1997 and 2000. Univariate analysis was done to find any association between SPF and the aforesaid variables. For the ease of analysis, the cases were subdivided into two categories depending on the SPF value, i.e., <10% (low-risk group) and > or = 10% (high-risk group). The mean and median SPF values were 21.45% and 20.035%, respectively, with a range of 3.26% to 54.30%. Twenty-six (15.66%) of the cases had SPF <10%, 57 (34.34%) had SPF from 10%-20%, and 83 (50%) had SPF >20%. A significant correlation between SPF and nodal metastasis was observed (p = 0.0111), but not between SPF and the number of lymph nodes involved when metastatic cases were subdivided into <4 lymph node-positive cases and > or =4 lymph node-positive cases. Significant correlations were also found between SPF and tumor grade (p = 0.0244), as well as between SPF and tumor size (p = 0.048). In conclusion, DNA flow cytometric analysis of SPF carried out in our laboratory could reasonably predict the chances of lymph node metastasis, tumor grade and size in breast cancer patients, thus proving to be an important prognostic marker in the Pakistani setting. This requires further investigations regarding the survival of patients so as to evaluate its capacity of predicting the outcome of Pakistani patients.

Tissue microarrays for rapid linking of molecular changes to clinical endpoints

Advances in genomics and proteomics are dramatically increasing the need to evaluate large numbers of molecular targets for their diagnostic, predictive or prognostic value in clinical oncology. Conventional molecular pathology techniques are often tedious, time-consuming, and require a lot of tissue, thereby limiting both the number of tissues and the number of targets that can be evaluated. Here, we demonstrate the power of our recently described tissue microarray (TMA) technology in analyzing prognostic markers in a series of 553 breast carcinomas. Four independent TMAs were constructed by acquiring 0.6 mm biopsies from one central and from three peripheral regions of each of the formalin-fixed paraffin embedded tumors. Immunostaining of TMA sections and conventional "large" sections were performed for two well- established prognostic markers, estrogen receptor (ER) and progesterone receptor (PR), as well as for p53, another frequently examined protein for which the data on prognostic utility in breast cancer are less unequivocal. Compared with conventional large section analysis, a single sample from each tumor identified about 95% of the information for ER, 75 to 81% for PR, and 70 to 74% for p53. However, all 12 TMA analyses (three antibodies on four different arrays) yielded as significant or more significant associations with tumor-specific survival than large section analyses (p < 0.0015 for each of the 12 comparisons). A single sample from each tumor was sufficient to identify associations between molecular alterations and clinical outcome. It is concluded that, contrary to expectations, tissue heterogeneity did not negatively influence the predictive power of the TMA results. TMA technology will be of substantial value in rapidly translating genomic and proteomics information to clinical applications.

Prognostic comparative study of S-phase fraction and Ki-67 index in breast carcinoma

AIMS

To investigate the prognostic value of recently proposed flow cytometric S-phase fraction (SPF) variables (average SPF and SPF tertiles) compared with conventional SPF, and to compare the one with the best predictive value with the immunohistochemical Ki-67 index in breast carcinoma.

METHODS

A short term follow up study (median, 39.6 months) of a large series of patients (n = 306) was conducted. DNA ploidy was analysed on fresh/frozen tumour samples by flow cytometry, and the SPF was calculated from the DNA histogram using an algorithm. The Ki-67 index was assessed on paraffin wax embedded material by immunohistochemistry (cut off point, 10%). The two methods were compared by means of kappa statistics, and the prognostic significance of both in relation to disease free survival (DFS) and overall survival (OS) was determined.

RESULTS

SPF and Ki-67 analysis was performed on 234 (76.5%) and 295 (96.4%) tumours, respectively. The two assessments were simultaneously available in 230 cases. All SPF variables analysed in the whole series significantly correlated with disease evolution, with the conventional median SPF (cut off point, 6.1%) showing the highest predictive value in relation to both DFS (p = 0.0001) and OS (p = 0.0003). SPF tertiles and median SPF evaluated according to DNA ploidy status had no prognostic significance. The Ki-67 index showed a trend in relation to DFS (p = 0.086) that did not reach significance, and no correlation with OS was found (p = 0.264). The comparative analysis of SPF and Ki-67 revealed some agreement between the two methods (agreement, 69.13%; kappa statistic, 0.3844; p < 0.001), especially in the subgroup of diploid tumours.

CONCLUSIONS

Flow cytometric SPF is a better prognosticator than the Ki-67 index, but only SPF variables applied in the whole series show potential clinical usefulness.

Allelotype analysis of flow-sorted breast cancer cells demonstrates genetically related diploid and aneuploid subpopulations in primary tumors and lymph node metastases

Flow cytometric DNA content measurements have demonstrated extensive DNA ploidy heterogeneity in primary breast carcinomas. However, little is known at the molecular level about the clonal relationship between these tumor cell subpopulations, or about the molecular genetic changes associated with aneuploidization. We have used flow cytometric cell sorting to dissect some of this complexity by isolating clonal subpopulations in breast carcinomas for comparative molecular genetic analysis. Clonal subpopulations were isolated from 12 primary breast carcinomas and 5 lymph node metastases from 4 cases based on DNA content and cytokeratin 8/18 labeling. DNA from these clones was screened for allelic imbalances with 92 polymorphic microsatellite markers mapped to 39 different chromosome arms. Diploid and aneuploid populations were concurrently present in 11 out of 12 primary tumors. The DNA ploidy status of primary tumors was identical to that of the related lymph node metastases. Allelic imbalance was present in 10 out of 11 diploid clones (mean, 3.4 +/- 4.2). All allelic imbalances observed in the diploid clones recurred in the cognate aneuploid clones, but were, in the latter, accompanied by additional allelic imbalances at other loci and/or chromosome arms (mean, 10.9 +/- 5.8). In only two of the four metastatic cases did the allelotypes of metastatic clones show small differences relative to their cognate primary tumors. The primary diploid tumor clone recurred in all lymph node metastases. This study indicates that the majority of allelic imbalances in breast carcinomas are established during generation of DNA ploidy diversity. Recurrence of the allelic imbalances in diploid clones in the aneuploid clones suggests linear tumor progression, whereas the simultaneous presence of early diploid and advanced aneuploid clones in both primary and metastatic tumor sites suggests that acquisition of metastatic propensity can be an early event in the genetic progression of breast cancer.

Reproducibility of microvessel counts in breast cancer specimens

Assessment of tumour vascularity in core biopsy specimens may be a useful predictor of response to primary therapy. This study addresses practical methodological issues regarding accuracy of tumour vascularity assessments in different breast cancer specimens. Issues addressed in the study are variation caused by (i) inherent observer variation in the method, (ii) tumour heterogeneity and (iii) previous surgical manipulation of tumours. Microvessel counts were performed by two observers on separate occasions and by two different observers. Counts were performed on core biopsies and tumour sections taken simultaneously (n = 16) and with an intervening time interval (n = 21). In addition core biopsies were obtained from the same tumour on two separate occasions (n = 10). A highly significant correlation was found in counts performed by the same observers at different times and between two different observers. No significant correlation was found in counts of core biopsies and tumour sections taken either simultaneously or subsequently. No correlation was found between counts of sequential core biopsies. Study findings suggest that, although microvessel counts may be assessed reproducibly by the same and different observers, counts performed in core biopsies do not accurately reflect those of overall tumour, limiting their potential as predictive or prognostic markers.

Hereditary stability and variation in evolution and development

Evolution and development are both lineage processes but are often conceptualized as occurring by different and mutually exclusive mechanisms. It is conventionally asserted that evolution occurs via the random generation of diversity and the subsequent survival of those that pass selection. On the other hand, development is too often presented as proceeding via the unfolding of a deterministic program encoded in the DNA sequence. In biology, universal generalizations are rare and dogmas are often wrong for particular cases. Deterministic mechanisms contribute some of the new DNA sequences that subsequently become substrates for natural selection. Conversely, stochastic and selective mechanisms are intrinsic to development, and also to maintenance of the immune, and possibly, nervous systems. Cancer appears to be another process that straddles distinctions between evolutionary and developmental modes of hereditary change and stabilization. DNA sequence changes are an essential feature of many cancers, but there are also aspects of the disease similar to developmental lineage gone awry. The literature suggests that the cellular changes that give rise to cancer occur by mechanisms commonly associated with both evolutionary and developmental lineage pathways.

Use of a mechanical dissociation device to improve standardization of flow cytometric cytokeratin DNA measurements of colon carcinomas

In order to standardize dual-fluorescence DNA flow cytometry using cytokeratin (CK) antibodies, normal colonic mucosa and tumor tissue were sampled from 308 colorectal surgical specimens. Fresh colon specimens were processed directly and stored frozen until dissociation. The samples were divided into aliquots for manual dissociation with tweezers and scalpel, and parallel dissociation with an automated disaggregation device (Medimachine, DAKO Diagnostika GmbH, Hamburg, Germany). An indirect immunofluorescence method with anti-cytokeratin antibodies and propidiumiodide was applied and measured on a single-laser flow cytometer (FACScan, Becton Dickinson [BDI], Heidelberg, Germany). Evaluation with CellFit (BDI) or MultiPlus (Phoenix Flow Systems, San Diego, CA) showed that dual-parameter fluorescence propidiumiodide (DNA staining) and fluorescein-isothiocyanate (cytokeratin labeling) provides a reasonable staining method for DNA analysis of epithelial cells. No significant differences in coefficient of variation in CK-gated versus ungated cells could be observed. Normal colon mucosa served as a reliable internal, diploid DNA control. Medimachine dissociation led to a significantly higher gain of cytokeratin-positive cells compared to percentage of cytokeratin-positive cells after manual tissue disaggregation. Cytokeratin gating led to a clear-cut separation of S-phase fractions within the respective ploidy groups, irrespective of manual or automated dissociation. The S-phase fraction increased significantly from normal tissue to diploid and nondiploid tumors. In general, automated tissue preparation with the Medimachine allows simple cell-isolation for dual DNA/CK-flow cytometric measurement, improving the gain of CK-positive cells, and facilitating a standardized DNA analysis.

Short-term significance of DNA ploidy and cell proliferation in breast carcinoma: a multivariate analysis of prognostic markers in a series of 308 patients

AIM

To determine the importance of tumour DNA ploidy and cell proliferation, as measured by the S phase fraction (SPF), in relation to other established clinicopathological indicators of prognosis in breast cancer.

METHODS

A prospective study of 308 patients. Tumours were staged following the TNM system criteria and were classified according to the histological type and grade. DNA flow cytometry was performed on fresh/frozen samples stained with propidium iodide. Hormone receptors were analyzed by immunocytochemistry. A Cox proportional hazards regression model was used for statistical evaluation of the prognostic factors.

RESULTS

Median follow up time was 39.6 months (range 3 to 84). A DNA diploid pattern was found in 134 tumours (43.5%) and aneuploid in 174 (56.5%). Median SPF value was 6.1% (range 1% to 27.8%). DNA ploidy and SPF were strongly correlated (p < 0.001), and both were related to histological type (p < 0.001), grade of differentiation (p < 0.001), tumour size (p = 0.006 and p = 0.002), and hormone receptor activity (p < 0.001). DNA ploidy was also related to node status (p = 0.022), but SPF was not. In univariate analysis, there were significant correlations between disease-free survival and age, histological grade, tumour size, node status, DNA ploidy, SPF, and hormone receptor activity; age, tumour size, node status, DNA ploidy, and hormone receptors were predictors of overall survival. In multivariate analysis, only node status (p = 0.001) and DNA ploidy (p = 0.006) retained independent prognostic significance in relation with overall survival, while node status (p < 0.001) and SPF (p < 0.001) were predictors of disease-free survival. DNA ploidy and SPF continued to predict disease-free and overall survival in lymph node positive (pN1) patients but not in the lymph node negative (pN0) group.

CONCLUSIONS

DNA ploidy and SPF are strongly intercorrelated and have independent prognostic value for predicting the short term clinical outcome of breast carcinoma patients.

S-phase fraction and breast cancer--a decade of experience

During the past decade, more than 300 articles, abstracts, and book chapters have been published about S-phase fraction (SPF) determined by DNA flow cytometry and its clinical utility for patients with breast cancer. However, the use of SPF for making treatment decisions for breast cancer patients remains controversial. After reviewing 273 published articles, we conclude: 1) Despite different techniques and cutpoints, correlations between SPF and other prognostic markers are relatively consistent across studies; higher SPF is generally associated with worse tumor grade, absence of steroid receptors, larger tumors, and positive axillary lymph nodes. 2) Higher SPF is generally associated with worse disease-free and overall survival in both univariate and multivariate analyses; SPF values from laboratories that have conducted validation studies can be used, in combination with other factors, to estimate the prognosis of patients with primary breast cancer. 3) There is considerable variability among laboratories regarding assay methodology, cell-cycle analysis techniques, and cutpoints for classifying and interpreting SPF; use of SPF values from different laboratories is problematic, and there remains a need for standardization of these processes and well-designed confirmation studies. We conclude that measurement of SPF does have clinical utility for patients with breast cancer, but standardization and quality control must be improved before it can be routinely used in community settings.

Mitotic rate and S-phase fraction as prognostic factors in stage I cutaneous malignant melanoma

Clinical data from 369 patients with clinical stage I cutaneous malignant melanoma treated in Kuopio University Hospital district between 1974 and 1989 with a mean follow-up of 6.4 years were analysed. Clinical parameters, histology, DNA index, S-phase fraction (SPF) and mitotic indices [mitotic activity index (MAI) and volume-corrected mitotic index (M/V index)] were correlated with the outcome of the disease to establish their value as predictors of stage I cutaneous malignant melanoma. In univariate survival analyses, bleeding, gender, tumour thickness, level of invasion according to Clark, TNM category, MAI, M/V index and SPF were the most significant predictors of recurrence-free (RFS) and overall survival. In Cox's multivariate analysis, tumour thickness (P = 0.0021), bleeding (P = 0.0106) and M/V index (P = 0.0058) predicted poor RFS in the 259 patients available for the analysis. Poor overall survival was predicted by MAI (P = 0.0002), bleeding (P = 0.004), SPF (P = 0.009) and male gender (P = 0.034). The present results indicate that mitotic activity index (MAI), volume-corrected mitotic index (M/V index) and S-phase fraction (SPF) are important prognostic factors in addition to the well-established Breslow thickness in stage I cutaneous malignant melanoma.