Molecular portrait of breast cancer in China reveals comprehensive transcriptomic likeness to Caucasian breast cancer and low prevalence of luminal A subtype

Cancer Medicine

Volumn 4, Issue 7, 2015, Pages 1016-1030

  Huang, Xiaoyan ^a   Dugo, Matteo ^b   Callari, Maurizio ^b   Sandri, Marco ^b   De Cecco, Loris ^b   Valeri, Barbara ^b   Carcangiu, Maria Luisa ^b   Xue, Jingyan ^a   Bi, Rui ^a   Veneroni, Silvia ^b   Daidone, Maria Grazia ^b   Ménard, Sylvie ^b   Tagliabue, Elda ^b   Shao, Zhimin ^a   Wu, Jiong ^a   Orlandi, Rosaria ^b  

^a FUDAN UNIVERSITY SHANGHAI CANCER CENTER   (China)

^b NATIONAL CANCER INSTITUTE   (Italy)

Author keywords

Breast cancer; Chinese Caucasian; Gene expression profiling; MiRNA profiling; Race ethnicity

Indexed keywords

ESTROGEN RECEPTOR; MICRORNA; TRANSCRIPTOME; TUMOR MARKER;

ADULT; AGED; ARTICLE; BREAST CANCER; CANCER PATIENT; CAUCASIAN; CHINA; CHINESE; COHORT ANALYSIS; CONTROLLED STUDY; ETHNIC DIFFERENCE; EXTRACELLULAR MATRIX; FEMALE; FROZEN SECTION; GENE EXPRESSION; GENETIC SCREENING; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MOLECULAR GENETICS; PREVALENCE; PRIORITY JOURNAL; RNA ANALYSIS; TAXONOMY; TRANSCRIPTION REGULATION; TRANSCRIPTOMICS; ASIAN CONTINENTAL ANCESTRY GROUP; BREAST NEOPLASMS; CANCER GRADING; CLUSTER ANALYSIS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENETICS; MIDDLE AGED; PATHOLOGY; TUMOR VOLUME; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; ASIAN CONTINENTAL ANCESTRY GROUP; BIOMARKERS, TUMOR; BREAST NEOPLASMS; CLUSTER ANALYSIS; EUROPEAN CONTINENTAL ANCESTRY GROUP; EXTRACELLULAR MATRIX; FEMALE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION, NEOPLASTIC; HUMANS; MICRORNAS; MIDDLE AGED; NEOPLASM GRADING; PREVALENCE; TRANSCRIPTOME; TUMOR BURDEN;

EID: 85006210391     PISSN: None     EISSN: 20457634     Source Type: Journal    
DOI: 10.1002/cam4.442     Document Type: Article

References (44)

1. Perou, C. M., T. Sorlie, M. B. Eisen, M. van de Rijn, S. S. Jeffrey, C. A. Rees, et al. 2000. Molecular portraits of human breast tumours. Nature 406:747-752.
2. Sorlie, T., C. M. Perou, R. Tibshirani, T. Aas, S. Geisler, H. Johnsen, et al. 2001. Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications. Proc. Natl. Acad. Sci. USA 98:10869-10874.
3. Carey, L. A., C. M. Perou, C. A. Livasy, L. G. Dressler, D. Cowan, K. Conway, et al. 2006. Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study. JAMA 29521:2492-2502.
4. Curtis, C., S. P. Shah, S. F. Chin, G. Turashvili, O. M. Rueda, M. J. Dunning, et al. 2012. The genomic and transcriptomic architecture of 2, 000 breast tumours reveals novel subgroups. Nature 4867403:346-352.
5. The Cancer Genome Atlas Network. 2012. Comprehensive molecular portraits of human breast tumours. Nature 4907418:61-70.
6. Wiencke, J. K. 2004. Impact of race/ethnicity on molecular pathways in human cancer. Nat. Rev. Cancer 41:79-84.
7. Polite, B. N., C. Cirrincione, G. F. Fleming, D. A. Berry, A. Seidman, H. Muss, et al. 2008. Racial differences in clinical outcomes from metastatic breast cancer: a pooled analysis of CALGB 9342 and 9840-cancer and leukemia group B. J. Clin. Oncol. 2616:2659-2665.
8. Fan, L., K. Strasser-Weippl, J.-J. Li, J. St Louis, D. M. Finkelstein, K.-D. Yu, et al. 2014. Breast cancer in China. Lancet Oncol. 15:e279-e289.
9. Fan, L., Y. Zheng, K. D. Yu, G. Y. Liu, J. Wu, J. S. Lu, et al. 2009. Breast cancer in a transitional society over 18 years: trends and present status in Shanghai, China. Breast Cancer Res. Treat. 1172:409-416.
10. Gao, F., S. B. Tan, D. Machin, and N. S. Wong. 2007. Confirmation of double-peaked time distribution of mortality among Asian breast cancer patients in a population-based study. Breast Cancer Res. 92:R21.
11. Chen, L. H., W. H. Kuo, M. H. Tsai, P. C. Chen, C. K. Hsiao, E. Y. Chuang, et al. 2011. Identification of prognostic genes for recurrent risk prediction in triple negative breast cancer patients in Taiwan. PLoS One 611:e28222.
12. Li, C. I., K. E. Malone, and J. R. Daling. 2003. Differences in breast cancer stage, treatment, and survival by race and ethnicity. Arch. Intern. Med. 1631:49-56.
13. Hausauer, A. K., T. H. Keegan, E. T. Chang, and C. A. Clarke. 2007. Recent breast cancer trends among Asian/Pacific Islander, Hispanic, and African-American women in the US: changes by tumor subtype. Breast Cancer Res. 96:R90.
14. Du, P., W. A. Kibbe, and S. M. Lin. 2008. lumi: a pipeline for processing Illumina microarray. Bioinformatics 2413:1547-1548.
15. Gentleman, R. C., V. J. Carey, D. M. Bates, B. Bolstad, M. Dettling, S. Dudoit, et al. 2004. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol. 510:R80.
16. Buffa, F. M., C. Camps, L. Winchester, C. E. Snell, H. E. Gee, H. Sheldon, et al. 2011. microRNA-associated progression pathways and potential therapeutic targets identified by integrated mRNA and microRNA expression profiling in breast cancer. Cancer Res. 7117:5635-5645.
17. Huang, C. C., S. H. Tu, H. H. Lien, J. Y. Jeng, C. S. Huang, C. J. Huang, et al. 2013. Concurrent gene signatures for Han Chinese breast cancers. PLoS One 810:e76421.
18. McCall, M. N., B. M. Bolstad, and R. A. Irizarry. 2010. Frozen robust multiarray analysis (fRMA). Biostatistics 112:242-253.
19. Callari, M., V. Musella, E. Di Buduo, M. Sensi, P. Miodini, M. Dugo, et al. 2014. Subtype-dependent prognostic relevance of an interferon-induced pathway metagene in node-negative breast cancer. Mol. Oncol. 14:1278-1289.
20. Hu, Z., C. Fan, D. S. Oh, J. S. Marron, X. He, B. F. Qaqish, et al. 2006. The molecular portraits of breast tumors are conserved across microarray platforms. BMC Genom. 7:96.
21. Bergamaschi, A., E. Tagliabue, T. Sorlie, B. Naume, T. Triulzi, R. Orlandi, et al. 2008. Extracellular matrix signature identifies breast cancer subgroups with different clinical outcome. J. Pathol. 214:357-367.
22. Rody, A., U. Holtrich, L. Pusztai, C. Liedtke, R. Gaetje, E. Ruckhaeberle, et al. 2009. T-cell metagene predicts a favorable prognosis in estrogen receptor-negative and HER2-positive breast cancers. Breast Cancer Res. 112:R15.
23. Grosjean, P., and F. Ibanez. 2014. Pastecs: Package for analysis of space-time ecological series. R package version 1.3-18. Available at http://CRAN.R-project.org/package=pastecs (accessed January 14, 2014).
24. Parker, J. S., M. Mullins, M. C. Cheang, S. Leung, D. Voduc, T. Vickery, et al. 2009. Supervised risk predictor of breast cancer based on intrinsic subtypes. J. Clin. Oncol. 27:1160-1167.
25. Prat, A., J. S. Parker, O. Karginova, C. Fan, C. Livasy, J. I. Herschkowitz, et al. 2010. Phenotypic and molecular characterization of the claudin-low intrinsic subtype of breast cancer. Breast Cancer Res. 125:R68.
26. Triulzi, T., P. Casalini, M. Sandri, F. Ratti, M. L. Carcangiu, M. P. Colombo, et al. 2013. Neoplastic and stromal cells contribute to an extracellular matrix gene expression profile defining a breast cancer subtype likely to progress. PLoS One 8:e56761.
27. Hoshida, Y., J. P. Brunet, P. Tamayo, T. R. Golub, and J. P. Mesirov. 2007. Subclass mapping: identifying common subtypes in independent disease data sets. PLoS One 211:e1195.
28. Smyth, G. K. 2004. Linear models and empirical bayes methods for assessing differential expression in microarray experiments. Stat. Appl. Genet. Mol. Biol. 3:Article 3.
29. Culhane, A. C., M. S. Schroder, R. Sultana, S. C. Picard, E. N. Martinelli, C. Kelly, et al. 2012. GeneSigDB: a manually curated database and resource for analysis of gene expression signatures. Nucleic Acids Res. 40(Database issue):D1060-D1066.
30. Yu, K., C. H. Lee, P. H. Tan, and P. Tan. 2004. Conservation of breast cancer molecular subtypes and transcriptional patterns of tumor progression across distinct ethnic populations. Clin. Cancer Res. 1016:5508-5517.
31. Huang, C. C., S. H. Tu, H. H. Lien, J. Y. Jeng, J. S. Liu, C. S. Huang, et al. 2012. Prediction consistency and clinical presentations of breast cancer molecular subtypes for Han Chinese population. J. Transl. Med. 10(Suppl. 1):S10.
32. Su, Y., Y. Zheng, W. Zheng, K. Gu, Z. Chen, G. Li, et al. 2011. Distinct distribution and prognostic significance of molecular subtypes of breast cancer in Chinese women: a population-based cohort study. BMC Cancer 11:292.
33. Song, Q., R. Huang, J. Li, J. Fan, S. Zheng, B. Zhang, et al. 2013. The diverse distribution of risk factors between breast cancer subtypes of ER, PR and HER2: a 10-year retrospective multi-center study in China. PLoS One 8:e72175.
34. Thomas, G. A., and R. C. Leonard. 2009. How age affects the biology of breast cancer. Clin. Oncol. (R. Coll. Radiol.) 212:81-85.
35. Chavez-Macgregor, M., S. Liu, D. De Melo-Gagliato, H. Chen, K. A. Do, L. Pusztai, et al. 2014. Differences in gene and protein expression and the effects of race/ethnicity on breast cancer subtypes. Cancer Epidemiol. Biomarkers Prev. 232:316-323.
36. Wang, S., T. H. Dorsey, A. Terunuma, R. A. Kittles, S. Ambs, and B. Kwabi-Addo. 2012. Relationship between tumor DNA methylation status and patient characteristics in African-American and European-American women with breast cancer. PLoS One 75:e37928.
37. Anders, C. K., C. Fan, J. S. Parker, L. A. Carey, K. L. Blackwell, N. Klauber-DeMore, et al. 2011. Breast carcinomas arising at a young age: unique biology or a surrogate for aggressive intrinsic subtypes? J. Clin. Oncol. 291:e18-e20.
38. Ma, H., Y. Lu, K. E. Malone, P. A. Marchbanks, D. M. Deapen, R. Spirtas, et al. 2013. Mortality risk of black women and white women with invasive breast cancer by hormone receptors, HER2, and p53 status. BMC Cancer 13:225.
39. Suter, N. M., R. M. Ray, Y. W. Hu, M. G. Lin, P. Porter, D. L. Gao, et al. 2004. BRCA1 and BRCA2 mutations in women from Shanghai China. Cancer Epidemiol. Biomarkers Prev. 132:181-189.
40. Kwong, A., E. K. Ng, C. L. Wong, F. B. Law, T. Au, H. N. Wong, et al. 2012. Identification of BRCA1/2 founder mutations in Southern Chinese breast cancer patients using gene sequencing and high resolution DNA melting analysis. PLoS One 79:e43994.
41. Wang, J., B. Wang, J. Bi, and J. Di. 2011. The association between two polymorphisms in the TYMS gene and breast cancer risk: a meta-analysis. Breast Cancer Res. Treat. 1281:203-209.
42. Egan, K. M., Q. Cai, X. O. Shu, F. Jin, T. L. Zhu, Q. Dai, et al. 2004. Genetic polymorphisms in GSTM1, GSTP1, and GSTT1 and the risk for breast cancer: results from the Shanghai Breast Cancer Study and meta-analysis. Cancer Epidemiol. Biomarkers Prev. 132:197-204.
43. Zhou, J. Y., R. Shi, H. L. Yu, Y. Zeng, W. L. Zheng, and W. L. Ma. 2012. The association between two polymorphisms in the TS gene and risk of cancer: a systematic review and pooled analysis. Int. J. Cancer 1319:2103-2116.
44. Hanahan, D., and R. A. Weinberg. 2011. Hallmarks of cancer: the next generation. Cell 1445:646-674.