Prognostic value and response to chemotherapy of immunohistochemical phenotypes of 141 operable breast cancer patients included in phase III trials of adjuvant therapy
Autor: Dr. Rafael Trujillo Vilchez | Publicado:  12/06/2008 | | |
Response to chemotherapy of immunohistochemical phenotypes of breast cancer patients.4

On studying the expression of basal markers in different morphological tumor types, we found that tumors of special type were either absolutely negative or expressed these markers in a small proportion of cases. We found that invasive grade 3 carcinomas of no special type had a basal phenotype and were estrogen receptors negative. The same finding has been reported in a previous study (20).These findings are in keeping with two previous reports that reported a high prevalence of the basal phenotype in ductal carcinoma with extensive necrosis and their aggressive behavior (21). Overall, tumors expressing the basal phenotype were more often grade 3 tumors and estrogen receptors negative with poor outcome. A previous genetic study on grade 3 carcinoma of no special type with basal phenotype identified specific genetic alterations and the aggressive nature of that subset (22).

 

It has been reported previously that molecular subclassification of breast cancer was associated with efficacy of postoperative and preoperative chemotherapy (12,13,14,38). In our study, the group of patients who received standard-based adjuvant chemotherapy, DFS was found to be significantly shorter in the basal phenotype. Nearly 8% of the patients that were HER2 positive received trastuzumab therapy, and this fact could have influenced the good prognostic of HER2 phenotype in our series.

 

Despite differences in taxonomy, there is a consistent trend across all studies confirming the relatively poor prognosis of the triple-negative or basal-like breast cancer subgroup (27). The majorities of triple-negative breast cancer tumors overexpress the EGFR (16) and might be candidates for anti-EGFR and/or anti–vascular endothelial growth factor therapies (28). Tumors in women with BRCA1 germ-line mutations have similarities to basal-like breast cancers (29). In vitro chemosensitivity studies have found that human cells lacking BRCA1 may be sensitive to cisplatin and to other drugs that cause double-strand breaks in DNA (30). Thus, agents such as cisplatin or carboplatin may prove to be effective treatments for the basal like group.

 

Despite the complexity of expression of the markers used in the present study, we were able to identify four profiles: luminal, HER2, basal and null/no expression. This supports the finding of studies that have, similarly, reported cases of breast cancer with null/no expression markers (31,32,33).Two previous studies have reported cases of breast cancer which were negative for both the luminal and basal markers (33,34). Both studies used frozen section material in which immunoreactivity was optimally preserved. One could argue that cases having no demonstrable phenotype may be a consequence of loss of reaction due to differences in tissue handling. However, all cases in our study were handled in a similar way and optimally fixed in formalin.

 

In conclusion, we found that expression of basal phenotype was associated with poor prognostic in the context of randomized phase III trials. The high rates of distal recurrence and the low incident of local recurrence, suggest that these patients have a tendency to develop visceral metastases early in the course of their disease. Standard adjuvant chemotherapy seems to be less effective in these tumors and new therapeutic approaches are indicated. The majorities of triple-negative breast cancer tumors overexpress the EGFR (16) and might be candidates for anti-EGFR and/or anti–vascular endothelial growth factor therapies (28). In this respect, different clinical trials are now under way, like GEICAM/2006-03 clinical trial were neoadyuvant based carboplatin chemotherapy is used in basal phenotype. This trial and others will answer these questions in the near future.

 

Bibliography

 

A.     Jemal, R. Siegel and E. Ward et al., Cancer statistics, 2006, CA Cancer J Clin 56 (2006), pp. 106–130.

1.     E.R. Fisher, J. Costantino, B. Fisher and C. Redmond, Pathologic findings from the National Surgical Adjuvant Breast Project (Protocol 4). Discriminants for 15-year survival. National Surgical Adjuvant Breast and Bowel Project Investigators, Cancer 71 (1993), pp. 2141–2150.

2.     Van de Vijver MJ, He YD, van 't Veer LJ, et al. A gene-expression signature as a predictor of survival in breast cancer. N Engl J Med 2002; 347:1999-2009.

3.     Sorlie T, Perou CM, Tibshirani R, et al. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc Natl Acad Sci U S A 2001;98:10869–74.

4.     Wang Y, Klijn JG, Zhang Y, et al. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet 2005;365:671–9.

5.     Sotiriou C, Neo SY, McShane LM, et al. Breast cancer classification and prognosis based on gene expression profiles from a population-based study. Proc Natl Acad Sci U S A. 2003 Sep 2;100(18):10393-8.

6.     Laakso M, Loman N, Borg Å, Isola J. Cytokeratin 5/14-positive breast cancer: true basal phenotype confined to BRCA1 tumors. Mod Pathol 2005;18:1321–8.

7.     Nielsen TO, Hsu FD, Jensen K, et al. Immunohistochemical and clinical characterization of the basal-like subtype of invasive breast carcinoma. Clin Cancer Res 2004;10:5367–74.

8.     Otterbach F, Bànkfalvi À, Berhner S, Decker T, Krech R, Boecker W. Cytokeratin 5/6 immunohistochemistry assists the differential diagnosis of atypical proliferations of the breast. Histopathology 2000;37:232–40

9.     Boecker W, Moll R, Poremba C, et al. Common adult stem cells in the human breast give rise to glandular and myoepithelial cell lineages: a new cell biological concept. Lab Invest 2002;82:737–45.

10.   Abd El-Rehim DM, Pinder SE, Paish CE, et al. Expression of luminal and basal cytokeratins in human breast cancer. J Pathol 2004;203:661–71.

11.   Paik S, Bryant J, Park C, et al. erbB-2 and response to doxorubicin in patients with axillary lymph node-positive, hormone receptor-negative breast cancer. J Natl Cancer Inst (1998) 90:1361–1370.

12.   Pritchard KI, Shepherd LE, O'Malley FP, et al. HER2 and responsiveness of breast cancer to adjuvant chemotherapy. N Engl J Med (2006) 354:2103–2111.

13.   Rouzier R, Perou CM, Symmans WF, et al. Breast cancer molecular subtypes respond differently to preoperative chemotherapy. Clin Cancer Res (2005) 11:5678–5685.

14.   Rejthar A, Nenutil R. The intermediate filaments and prognostically oriented morphological classification in ductal breast carcinoma. Neoplasma 1997; 44: 370-373.

15.   Van de Rijn M, Perou CM, Tibshirani R, et al. Expression of cytokeratins 17 and 5 identifies a group of breast carcinomas with poor clinical outcome. Am J Pathol 2002; 161: 1991-1996.

16.   Brotherick I, Robson CN, Browell DA, et al. Cytokeratin expression in breast cancer: phenotypic changes associated with disease progression. Cytometry 1998; 32: 301-308.

17.   Schaller G, Fuchs I, Pritze W, et al. Elevated keratin 18 protein expression indicates a favorable prognosis in patients with breast cancer. Clin Cancer Res 1996; 2: 1879-1885.

18.   Ferno M, Borg A, Johansson U, et al. Estrogen and progesterone receptor analyses in more than 4000 human breast cancer samples: a study with special reference to age at diagnosis and stability of analyses. Southern Swedish Breast Cancer Study Group. Acta Oncol 1990; 29: 129-135.

19.   Tot T. The cytokeratin profile of medullary carcinoma of the breast. Histopathology 2000; 37: 175-181.

20.   Tsuda H, Takarabe T, Hasegawa F, Fukutomi T, Hirohashi S. Large, central acellular zones indicating myoepithelial tumor differentiation in high-grade invasive ductal carcinomas as markers of predisposition to lung and brain metastases. Am J Surg Pathol 2000; 24: 197-202.

21.   Korsching E, Packeisen J, Agelopoulos K, et al. Cytogenetic alterations and cytokeratin expression patterns in breast cancer: integrating a new model of breast differentiation into cytogenetic pathways of breast carcinogenesis. Lab Invest 2002; 82: 1525-1533.

22.   Perou CM, Sorlie T, Eisen MB, et al. Molecular portraits of human breast tumours. Nature 2000;406:747-52.

23.   Rodriguez-Pinilla SM, Sarrio D, Honrado E, et al. Prognostic significance of basal-like phenotype and fascin expression in node-negative invasive breast carcinomas. Clin Cancer Res 2006;12:1533-9.

24.   Banerjee S, Reis-Filho JS, Ashley S, et al. Basal-like breast carcinomas: clinical outcome and response to chemotherapy. J Clin Pathol 2006;59:729-35.

25.   Dent R, Trudeau M, Pritchard K,et al, Triple-Negative Breast Cancer: Clinical Features and Patterns of Recurrence Clin Cancer Res 2007;13:4429-34.

26.   Abd El-Rehim DM, Ball G, Pinder SE, et al. Highthrough put protein expression analysis using tissue microarray technology of a large well-characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses.Int J Cancer 2005;116:340-50.

27.   Siziopikou KP, Cobleigh M. The basal subtype of breast carcinomas may represent the group of breast tumours that could benefit from EGFR-targeted therapies. Breast 2007;16:104-7.

28.   Narod SA, FoulkesWD. BRCA1 and BRCA2: 1994 and beyond. Nat Rev Cancer 2004;4:665-76.

29.   Ratanaphan A, Canyuk B,Wasiksiri S, MahasawatP. In vitro platination of human breast cancer suppressor gene (BRCA1) by the anticancer drug carboplatin. Biochim Biophys Acta 2005;1725:145-51.

30.   Nagle RB, Bocker W, Davis JR, et al. Characterization of breast carcinomas by two monoclonal antibodies distinguishing myoepithelial from luminal epithelial cells. J Histochem Cytochem 1986; 34: 869-881.

31.   Malzahn K, Mitze M, Thoenes M, Moll R. Biological and prognostic significance of stratified epithelial cytokeratins in infiltrating ductal breast carcinomas. Virchows Arch 1998; 433: 119-129.

32.   Wetzels RH, Kuijpers HJ, Lane EB, et al. Basal cell-specific and hyperproliferation-related keratins in human breast cancer. Am J Pathol 1991; 138: 751-763.

33.   Dairkee SH, Puett L, Hackett AJ. Expression of basal and luminal epithelium-specific keratins in normal, benign, and malignant breast tissue. J Natl Cancer Inst 1988; 80: 691-695.

34.   Weigelt B, Glas AM, Wessels LF et al. Gene expression profiles of primary breast tumors maintained in distant metastases.Proc Natl Acad Sci U S A. 2003 Dec 23;100(26):15901-5.

35.   Van´t Veer L, Dai H, van de Vijver Mj et al. Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002 Jan 31;415(6871):530-6.

36.   Foekens JA, Atkins D, Zhang Y, et al. Multicenter validation of a gene expression-based prognostic signature in lymph node-negative primary breast cancer. J Clin Oncol. 2006 Apr 10;24(11):1665-71.

37.   Paik S, Tang G, Shak S, et al. Gene expression and benefit of chemotherapy in women with node-negative, estrogen receptor-positive breast cancer. J Clin Oncol. 2006 Aug 10;24(23):3726-34.

38.   Liu R, Wang X, Chen GY, et al. The prognostic role of a gene signature from tumorigenic breast-cancer cells. N Engl J Med. 2007 Jan 18;356(3):217-26.

39.   Fan C, Oh DS, Wessels L, et al. Concordance among gene-expression-based predictors for breast cancer. N Engl J Med. 2006 Aug 10;355(6):560-9.

40.   Sorlie T, Tibshirani R, Parker J, et al. Repeated observation of breast tumor subtypes in independent gene expression data sets. Proc Natl Acad Sci U S A. 2003 Jul 8;100(14):8418-23.

41.   Conforti R, Boulet T, Tomasic G, et al. Breast cancer molecular subclassification and estrogen receptor expression to predict efficacy of adjuvant anthracyclines-based chemotherapy: a biomarker study from two randomized trials. Annals of Oncology.2007. Sept 18: 1477–1483.

42.   de Mesquita JM Bueno, van Harten WH, Retel VP, et al. Use of a 70-gene signature to predict prognosis of patients with node-negative breast cancer: a prospective community-based study (RASTER). Lancet Oncol 2007; 8: 1079-1087.

43.   Glas AM, Floore A, Delahaye LJ, et al. Converting a breast cancer microarray signature into a high-throughput diagnostic test. BMC Genomics 2006; 7: 278 Cowell JK, Hawthorn L. The application of microarray technology to the analysis of the cancer genome. Curr Mol Med 2007; 7:103–120..

44.   Buyse M, Loi S, van't Veer L, et al. Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. J Natl Cancer Inst 2006; 98: 1183-1192.

45.   Bertucci F, Finetti P, Cervera N, Maraninchi D, Viens P, Birnbaum D. Gene expression profiling and clinical outcome in breast cancer. OMICS 2006; 10: 429-443.

46.   Carey LA, Perou CM, Livasy CA, et al. Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. JAMA 2006; 295:2492–2502.

47.   Hu Z, Fan C, Oh DS, et al. The molecular portraits of breast tumors are conserved across microarray platforms. BMC Genomics 2006; 7:96.

 

 


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