Geographic distribution of co-dominant DNA stemlines in breast carcinoma

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.

Genetic variability in MCF-7 sublines: evidence of rapid genomic and RNA expression profile modifications

BACKGROUND

Both phenotypic and cytogenetic variability have been reported for clones of breast carcinoma cell lines but have not been comprehensively studied. Despite this, cell lines such as MCF-7 cells are extensively used as model systems.

METHODS

In this work we documented, using CGH and RNA expression profiles, the genetic variability at the genomic and RNA expression levels of MCF-7 cells of different origins. Eight MCF-7 sublines collected from different sources were studied as well as 3 subclones isolated from one of the sublines by limit dilution.

RESULTS

MCF-7 sublines showed important differences in copy number alteration (CNA) profiles. Overall numbers of events ranged from 28 to 41. Involved chromosomal regions varied greatly from a subline to another. A total of 62 chromosomal regions were affected by either gains or losses in the 11 sublines studied. We performed a phylogenetic analysis of CGH profiles using maximum parsimony in order to reconstruct the putative filiation of the 11 MCF-7 sublines. The phylogenetic tree obtained showed that the MCF-7 clade was characterized by a restricted set of 8 CNAs and that the most divergent subline occupied the position closest to the common ancestor. Expression profiles of 8 MCF-7 sublines were analyzed along with those of 19 unrelated breast cancer cell lines using home made cDNA arrays comprising 720 genes. Hierarchical clustering analysis of the expression data showed that 7/8 MCF-7 sublines were grouped forming a cluster while the remaining subline clustered with unrelated breast cancer cell lines. These data thus showed that MCF-7 sublines differed at both the genomic and phenotypic levels.

CONCLUSIONS

The analysis of CGH profiles of the parent subline and its three subclones supported the heteroclonal nature of MCF-7 cells. This strongly suggested that the genetic plasticity of MCF-7 cells was related to their intrinsic capacity to generate clonal heterogeneity. We propose that MCF-7, and possibly the breast tumor it was derived from, evolved in a node like pattern, rather than according to a linear progression model. Due to their capacity to undergo rapid genetic changes MCF-7 cells could represent an interesting model for genetic evolution of breast tumors.

Distinction between HLA class I-positive and -negative cervical tumor subpopulations by multiparameter DNA flow cytometry

BACKGROUND

The study of the molecular-genetic basis of heterogeneity of HLA class I expression in solid tumors is hampered by the lack of reliable rapid cell-by-cell isolation techniques. Hence, we studied the applicability of a flow cytometric approach (Corver et al.: Cytometry 2000;39;96-107).

METHODS

Cells were isolated from five fresh cervical tumors and simultaneously stained for CD45 or vimentin (fluorescein isothiocyanate fluorescence), Keratin (R-phycoerythrin fluorescence), HLA class I (APC fluorescence), and DNA (propidium iodide fluorescence). A dual-laser flow cytometer was used for fluorescence analysis. Tissue sections from the corresponding tumors were stained for HLA class I antigens, keratin, vimentin, or CD45.

RESULTS

Flow cytometry enabled the simultaneous measurement of normal stromal cells (vimentin positive), inflammatory cells (CD45 positive), epithelial cells (keratin positive), and DNA content readily. Normal stromal/inflammatory cells served as intrinsic HLA class I-positive as well as DNA-diploid references. Good DNA histogram quality was obtained (average coefficient of variation < 4%). Intratumor keratin positive subpopulations differing in HLA class I expression as well as DNA content could be clearly identified. Losses of allele-specific HLA class I expression found by immunohistochemistry were also detected by flow cytometry.

CONCLUSIONS

We conclude that multiparameter DNA flow cytometry is a powerful tool to study loss of HLA class I expression in human cervical tumors. The method enables flow-sorting of discrete tumor and normal cell subpopulations for further molecular genetic analysis.

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.

The cellular basis of tumor progression

Variability in disease presentation and course is a hallmark of cancer. Variability is seen among similarly diagnosed cancers in different patients or animal hosts and in the same cancer at different periods of time. This latter type of variability, termed "tumor progression," was defined by Foulds in a series of six rules that describe the independent behavior of individual cancers and the independent evolution of different cancer characteristics. Tumor progression is believed to result from variability among subpopulations of tumor cells within individual cancers and from selection of these subpopulations by conditions within the cancer environment, such that different subpopulations come to prominence over the course of cancer development and growth. Interactions among subpopulations, however, modulate tumor behavior as well as tumor evolution. The leading hypothesis for the origin of tumor subpopulations is the genetic instability of cancer cells. There are a number of possible mechanisms of genetic instability, some internal to cancer cells (mutation, amplification, mutator phenotypes, DNA repair deficiencies) and some present in the tumor microenvironment (endogenous mutagens). There are also potential epigenetic mechanisms of variability, including alterations in gene regulation, differentiation, adaptation, and cell fusion. Regardless of mechanism, the heterogeneity of tumor subpopulations poses a number of challenges to the practice of cancer research, including the design of reproducible and meaningful experiments. Tumor heterogeneity also has significant consequences for the clinical assessment of tumor prognosis and the development of effective treatment regimens.

Genetic and phenotypic heterogeneity of human malignancies: finding order in chaos

The presence of cellular heterogeneity within human tumors has been recognized for many years. Current concepts regarding the clonal origin of human neoplasms, and recent advances in the study of successive genetic changes that occur during tumor evolution may now make it possible to understand in greater depth the biological and clinical implications of intra-tumor heterogeneity at both the phenotypic and genotypic levels. In order to explore these concepts further, and to better identify the potential contributions that flow and image cytometry can make to our understanding of tumor heterogeneity, a session of the 1994 ISAC Congress was dedicated to plenary presentations on human cancer cell heterogeneity. Here, we provide a brief overview of the genetic evolutionary progression of human cancers, some considerations of clinically important phenotypic and genotypic markers, and an outline that might serve as a basis for framing relevant issues that are ammenable to further study. All Nature is but Art, unknown to thee; All Chance, Direction, which thou canst not see; All Discord, Harmony not understood: All partial Evil, universal Good. (Alexander Pope, Essay on Man, end of Epistle 1).