J Cancer 2010; 1:6-13. doi:10.7150/jca.1.6 This volume Cite

Research Paper

Breast cancer heterogeneity: mechanisms, proofs, and implications

Yi-Hsuan Hsiao1,2, Ming-Chih Chou1, Carol Fowler3, Jeffrey T. Mason3, Yan-gao Man3,4 Corresponding address

1. Institute of Medicine, Chung Shan Medical University, Taiwan
2. Department of Obstetrics and Gynecology, Changhua Christian Hospital, Taiwan
3. Armed Forces Institute of Pathology and American Registry of Pathology, Washington DC, USA
4. Jilin University, China

Citation:
Hsiao YH, Chou MC, Fowler C, Mason JT, Man Yg. Breast cancer heterogeneity: mechanisms, proofs, and implications. J Cancer 2010; 1:6-13. doi:10.7150/jca.1.6. https://www.jcancer.org/v01p0006.htm
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Abstract

Human breast cancer represents a group of highly heterogeneous lesions consisting of about 20 morphologically distinct subtypes with substantially different molecular and/or biochemical signatures, clinical courses, and prognoses. This study analyzed the possible correlation between the morphological presentations of breast cancer and two hypothesized models of carcinogenesis, in order to identify the intrinsic mechanism(s) and clinical implications of breast cancer heterogeneity.

Keywords: breast cancer heterogeneity, mechanism, hypothesized model, clinical implication

1. Breast cancer heterogeneity

Human breast cancer represents a group of highly heterogeneous lesions consisting of about 20 morphologically distinct subtypes [1-2] (Table 1; Fig 1).

 Table 1 

Morphological classification of human breast cancer

#Morphological classification#Morphological classification
1Inflammatory11Clear cell
2Pregnancy-associated12Medullary
3Comedo13Secretory
4Micropapillary14Signet ring cell
5Papillary15Mucinous
6Cribriform16Tubular
7Solid17Lobular neoplasia
8Clinging18Mixed cell types
9Spindle cell19Apocrine
10Neuroendocrine20Malignant myoepithelioma

Among these subtypes, inflammatory and pregnancy-associated breast cancers have the most aggressive clinical course, in which many tumors had undergone extensive invasion or metastasis at the diagnosis [3-6]. In sharp contrast, small tubular and mucinous cancers have the most indolent clinical course, in which most pre-invasive cancers do not progress during patients' lifetime [1,2].

Breast cancer also has a highly variable profile of molecular and immunohistochemical signatures, and could be roughly divided into 5-categories based on their expression of estrogen receptor (ER), progesterone receptor (ER), human epidermal growth factor receptor-1 and 2 (HER-1 and 2), and cytokeratins 5/6 (CK 5/6) [7-9] (Table 2).

 Table 2 

Molecular and immunohistochemical classification of human breast cancer

CategorySignatureTreatment
Luminal AER(+) and/or PR(+); HER-2(-)Endocrine RX; Tamoxifen
Luminal BER(+) and/or PR(+); HER-2(+)Tratuzumab; Tamoxifen
Basal-likeER(-); PR(-); HER-2(-);CK5/6(+); HER-1(+)Neoadjuvant RX
HER-2(+)/ER(-)HER-2(+); ER(-); PR(-)Neoadjuvant RX
Normal breast-likeAll markers(-)
 Fig 1 

Breast tumor morphological heterogeneity. Sections from 4-different human breast tumors were stained with H&E. Note that although all are ductal carcinoma in situ, each has its unique morphological features.

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2. Mechanisms of heterogeneity

The mechanism(s) accounting for breast cancer heterogeneity remains elusive. However, two previously introduced theories, cancer stem cells and clonal evolution, appear to have provided some reasonable explanations. The theory of cancer stem cell was originated by Cohnheim in 1875 [10]. The main concept and major steps are depicted in Fig 2.

The theory of clonal evolution was introduced by Nowell in 1976 [11]. The main concept and major steps are depicted in Fig 3.

 Fig 2 

The theory of cancer stem cells for breast cancer heterogeneity

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 Fig 3 

The theory of clonal evolution of breast cancer heterogeneity

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These theories share a number of similarities, including: (1) both believe that cancers are originated from cancer stem cells;(2) both believe that specific genetic or biochemical abnormalities are needed for carcinogenesis, and (3) both believe that the tumor microenvironment substantially influence the processes of carcinogenesis and tumor progression. However, these theories differ fundamentally in the main concept. The cancer stem cell theory believes that different tumors result from different stem cells, and that all cells within a given tumor could progress to a higher degree of malignancy. In sharp contrast, the clonal evolution theory believes that different tumors are originated from evolution of a single stem cell and that only the more aggressive clone progresses.

3. Proofs for each theory

The cancer stem cell theory is supported by several lines of evidence, including:

A. Different lobules have different morphological and immunohistochemical profiles

In H&E stained sections, all or nearly all lobules are clearly segregated by inter-lobular stromal tissues with a distinct boundary. All epithelial cells within a given lobule are morphologically and immunohistochemically similar, but they often differ substantially from cells in adjacent lobules. As shown in Fig 4, all cells within a large lobule in the center of the section are devoid of cytokeratin -19 (CK-19), whereas all or nearly all cells within adjacent lobules are CK-19 positive.

B. Malignancy-associated alterations in isolated lobules

Our previous studies detected elevated cytoplasmic expression of HER-2 in some normal appearing lobules [12]. As shown in Fig 5, these lobules (circles) are segregated from other lobules with a distinct boundary. Most cells within these lobules show strong cytoplasm expression of HER-2, whereas all or nearly all cells in adjacent lobules (squares) are devoid of HER-2 expression.

Together, these findings suggest that different lobules are likely to arise from different stem cells, which constitutes the molecular base of heterogeneity for tumors subsequently derived from these lobules. This speculation is in total agreement with our previous findings in surgically operated rat submandibular glands with an integrated immunohistichemical and autoradiographical approach, which revealed the formation of morphologically and immunohistochemically unique new lobules within the residual gland by stem cells [13,14] (Fig 6).

 Fig 4 

Morphologically and immunohistochemically different lobules. A human breast tissue section was double immunostained for smooth muscle actin (red) and CK-19 (brown). Circle identifies a lobule consisting of all CK-19 negative cells. Arrows identify CK-19 positive cells in adjacent lobules.

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 Fig 5 

Aberrant HER-2 expression in isolated normal appearing lobules. A human breast tissue section was double immunostained for smooth muscle actin (red) and HER-2 (black).

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 Fig 6 

Formation of unique new lobules within residual submandibular glands (SMG) by stem cells after surgical operation. Rat SMG removed 4-weeks after partial removal of the gland and TdR injection was used for immunohistochemistry & autoradiography. Circles identify newly formed lobules. Squares identify pre-existing lobules within the residual gland.

J Cancer Image

The clonal evolution theory is also supported by several lines of evidence, including:

A. ER-negative cell clusters “budding” from ER- positive ductal tumor cores

With a double immunohistochemical method, our previous studies revealed that a subset of ER-positive pre-invasive breast tumors harbored focal disruptions in their myoepithelial cell layers. Over 86% of these disruptions were overlaid by ER-negative cell clusters, but adjacent cells within the tumor core were ER-positive [15-18] (Fig 7). The size of ER-negative cell clusters appeared to increase with tumor progression. The tumor cells at the tip of these clusters gradually regained ER expression, but the cells near the tumor core were consistently devoid of ER expression (Fig 7b).

 Fig 7 

ER(-) cell “budding” from ER(+) tumors. Human breast tissue sections were double immunostained for SMA (red) and ER (brown). Circles identify ER(-) cells near the tumor cores. Squares identify ER(+) cells at the tip of an ER(-) cell cluster. Arrow identifies a ER(+) cell between the base and the tip of a ER(-) cell cluster.

J Cancer Image

B. “Budding” cell clusters and cells within tumor cores have a different molecular profile

Molecular analyses with microdissected “budding” cells and adjacent cells within the tumor core detected a markedly different rate of LOH and expression of invasion-related genes [17] (Fig 8).

4. Scientific and clinical implications

Together, these findings suggest that both the cancer stem cell and clonal evolution could contribute to breast cancer heterogeneity, in which, the cancer stem cell is more likely to contribute to lobular cancer heterogeneity, while the clonal evolution is more likely to contribute to ductal cancer heterogeneity.

If further validated, these theories and findings could have significant scientific and clinical implications. Scientifically, in order to identify the trigger factor(s) shared by all or most subtypes of breast cancers for their invasion and metastasis, a novel target highly representative to all or most subtypes is apparently needed to be elucidated, so that further studies could be carried out in comparable tissue samples. Clinically, breast cancers derived from clonal evolution are very likely to be more problematic for early detection and intervention for two main reasons:

A. Tumor invasion or metastasis may occur at normal or hyperplastic stages

Our recent studies in nearly 1,000 cases of breast cancer have consistently shown that a subset of normal or hyperplastic breast duct clusters show malignancy-associated changes, including focal disruptions in the surrounding myoepithelial cell layer and basement membrane, expression of p53 and HER-2, morphological signs of stromal and vascular invasion [19,20] (Fig 9). These duct clusters may progress directly into invasive or metastatic lesions.

 Fig 8 

Differential expression of invasion-related genes between “budding” cells (circle) and cells within the tumor core (yellow square). Black squares identify differentially expressed genes between these two cell types of the same tumor.

J Cancer Image
 Fig 9 

Normal appearing breast ducts with malignancy-associated changes. A section of human breast tumor tissues was double immunostained with a specific marker for myoepithelial cells (red) and ER (brown). Circle identifies budding ER(-) cells from a ER(+) normal appearing duct. Square identifies ER(-) cells within a small dilated vein.

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B. ER-negative cell clusters may represent “seeds” for drug resistant and recurrent tumors

Our recent studies have consistently shown that ER-negative cells overlying focally disrupted myoepithelial cell layers are generally arranged as tongue- or finger-like projections invading the adjacent stromal tissue or vascular structures [15-18]. The size of these ER-negative cell clusters increased with tumor progression, and an increasing number of ER-positive cells were seen at the tips of these projections. In contrast, the ER-negative cell clusters overlying focally disrupted myoepithelial cell layers near the tumor core were consistently devoid of ER expression (Fig 10). These findings suggest these ER-negative cell clusters are likely to represent a population of a more aggressive cell clone that is under clonal evolution. Since these “budding” cells near the tumor core are consistently devoid of ER expression, they are unlikely to respond to tamoxifen and other hormonal-based therapies, representing “seeds” for drug resistant and recurrent breast tumors.

 Fig 10 

Changeable ER expression in “budding” cells overlying focally disrupted myoepithelial cell layers. Section was dobble immunostained with specific markers to the myoepithelial cell layer (red) and ER (brown). Circle identifies ER-negative cell cluster overlying focally disrupted myoepithelial cell layer. Square identifies ER-negative cell cluster derived ER-positive cells within the stromal tissue.

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Acknowledgements

This study was supported in part by grant 2006CB910505 from the Ministry of Chinese Science and Technology Department, grant 30801176 from The National Natural Science Foundation of China, grants DAMD17-01-1-0129 and DAMD17-01-1-0130 from Congressionally Directed Medical Research Programs, grant BCTR0706983 from The Susan G. Komen Breast Cancer Foundation, and grant 2008-02 from US Military Cancer Institute and Henry M. Jackson Foundation.

The opinions and assertions contained herein represent the personal views of the authors and are not to be construed as official or as representing the views of the Department of the Army or the Department of Defense.

Conflict of Interest

The authors have declared that no conflict of interest exists.

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Author contact

Corresponding address Corresponding author: Yan-gao Man, MD., PhD., Director of Gynecologic and Breast Research Laboratory, Department of Gynecologic and Breast Pathology, Armed Forces Institute of Pathology and American Registry of Pathology. Tel: 202-782-1612; Fax: 202-782-3939; E-mail: manosd.mil


Published 2010-6-1


Citation styles

APA
Hsiao, Y.H., Chou, M.C., Fowler, C., Mason, J.T., Man, Y.g. (2010). Breast cancer heterogeneity: mechanisms, proofs, and implications. Journal of Cancer, 1, 6-13. https://doi.org/10.7150/jca.1.6.

ACS
Hsiao, Y.H.; Chou, M.C.; Fowler, C.; Mason, J.T.; Man, Y.g. Breast cancer heterogeneity: mechanisms, proofs, and implications. J. Cancer 2010, 1, 6-13. DOI: 10.7150/jca.1.6.

NLM
Hsiao YH, Chou MC, Fowler C, Mason JT, Man Yg. Breast cancer heterogeneity: mechanisms, proofs, and implications. J Cancer 2010; 1:6-13. doi:10.7150/jca.1.6. https://www.jcancer.org/v01p0006.htm

CSE
Hsiao YH, Chou MC, Fowler C, Mason JT, Man Yg. 2010. Breast cancer heterogeneity: mechanisms, proofs, and implications. J Cancer. 1:6-13.

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