Home LiteratureArticle Details
PMID: 20098429 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Amplification of LAPTM4B and YWHAZ contributes to chemotherapy resistance and recurrence of breast cancer.

Nature medicine ·Vol. 16 ·No. 2 ·2010-02-00 ·Pages 214-8

Li Y, Zou L, Li Q, Haibe-Kains B, Tian R, Li Y, Desmedt C, Sotiriou C, Szallasi Z, Iglehart JD, Richardson AL, Wang ZC

Abstract

Adjuvant chemotherapy for breast cancer after surgery has effectively lowered metastatic recurrence rates. However, a considerable proportion of women suffer recurrent cancer at distant metastatic sites despite adjuvant treatment. Identification of the genes crucial for tumor response to specific chemotherapy drugs is a challenge but is necessary to improve outcomes. By using integrated genomics, we identified a small number of overexpressed and amplified genes from chromosome 8q22 that were associated with early disease recurrence despite anthracycline-based adjuvant chemotherapy. We confirmed the association in an analysis of multiple independent cohorts. SiRNA-mediated knockdown of either of two of these genes, the antiapoptotic gene YWHAZ and a lysosomal gene LAPTM4B, sensitized tumor cells to anthracyclines, and overexpression of either of the genes induced anthracycline resistance. Overexpression of LAPTM4B resulted in sequestration of the anthracycline doxorubicin, delaying its appearance in the nucleus. Overexpression of these two genes was associated with poor tumor response to anthracycline treatment in a neoadjuvant chemotherapy trial in women with primary breast cancer. Our results suggest that 8q22 amplification and overexpression of LAPTM4B and YWHAZ contribute to de novo chemoresistance to anthracyclines and are permissive for metastatic recurrence. Overexpression of these two genes may predict anthracycline resistance and influence selection of chemotherapy.

MeSH Terms
Antineoplastic Combined Chemotherapy Protocols/therapeutic use Breast Neoplasms/drug therapy,genetics,pathology Cell Line, Tumor Chromosomes, Human, Pair 8 Cohort Studies Drug Resistance, Neoplasm Female Gene Amplification Humans Membrane Proteins/genetics Oncogene Proteins/genetics Recurrence
Chemicals
LAPTM4B protein, human Membrane Proteins Oncogene Proteins
Authors & Affiliations
12 authors, click to expand affiliations / ORCID
Li Yang
Department of Cancer Biology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.
Zou Lihua
Li Qiyuan
Haibe-Kains Benjamin
Tian Ruiyang
Li Yan
Desmedt Christine
Sotiriou Christos
Szallasi Zoltan
Iglehart J Dirk
Richardson Andrea L
Wang Zhigang Charles
References (35)
35 references, click to expand
  1. Loss of heterozygosity and its correlation with expression profiles in subclasses of invasive breast cancers.
    Cancer Res. 2004 Jan 1;64(1):64-71 PMID: 14729609
  2. Genetic reclassification of histologic grade delineates new clinical subtypes of breast cancer.
    Cancer Res. 2006 Nov 1;66(21):10292-301 PMID: 17079448
  3. Evaluating the yield of medical tests.
    JAMA. 1982 May 14;247(18):2543-6 PMID: 7069920
  4. Gene expression and amplification in breast carcinoma cells with intrinsic and acquired doxorubicin resistance.
    Oncogene. 2001 Mar 15;20(11):1300-6 PMID: 11313874
  5. Molecular genetics of breast cancer progression.
    Semin Cancer Biol. 1999 Aug;9(4):277-88 PMID: 10448115
  6. A stroma-related gene signature predicts resistance to neoadjuvant chemotherapy in breast cancer.
    Nat Med. 2009 Jan;15(1):68-74 PMID: 19122658
  7. A mammalian lysosomal membrane protein confers multidrug resistance upon expression in Saccharomyces cerevisiae.
    J Biol Chem. 1999 Apr 30;274(18):12877-82 PMID: 10212276
  8. Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability.
    BMC Genomics. 2008 Aug 06;9:375 PMID: 18684329
  9. Efficacy of neoadjuvant Cisplatin in triple-negative breast cancer.
    J Clin Oncol. 2010 Mar 1;28(7):1145-53 PMID: 20100965
  10. 14-3-3zeta overexpression defines high risk for breast cancer recurrence and promotes cancer cell survival.
    Cancer Res. 2009 Apr 15;69(8):3425-32 PMID: 19318578
  11. A gene-expression signature as a predictor of survival in breast cancer.
    N Engl J Med. 2002 Dec 19;347(25):1999-2009 PMID: 12490681
  12. Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis.
    J Natl Cancer Inst. 2006 Feb 15;98(4):262-72 PMID: 16478745
  13. Gene expression profiling for the prediction of therapeutic response to docetaxel in patients with breast cancer.
    Lancet. 2003 Aug 2;362(9381):362-9 PMID: 12907009
  14. Profiling breast cancer by array CGH.
    Breast Cancer Res Treat. 2003 Apr;78(3):289-98 PMID: 12755488
  15. BRCA1 promoter methylation in sporadic breast tumors: relationship to gene expression profiles.
    Breast Cancer Res Treat. 2005 May;91(2):179-86 PMID: 15868446
  16. Overall C as a measure of discrimination in survival analysis: model specific population value and confidence interval estimation.
    Stat Med. 2004 Jul 15;23(13):2109-23 PMID: 15211606
  17. Biological processes associated with breast cancer clinical outcome depend on the molecular subtypes.
    Clin Cancer Res. 2008 Aug 15;14(16):5158-65 PMID: 18698033
  18. MTDH activation by 8q22 genomic gain promotes chemoresistance and metastasis of poor-prognosis breast cancer.
    Cancer Cell. 2009 Jan 6;15(1):9-20 PMID: 19111877
  19. Effects of chemotherapy and hormonal therapy for early breast cancer on recurrence and 15-year survival: an overview of the randomised trials.
    Lancet. 2005 May 14-20;365(9472):1687-717 PMID: 15894097
  20. Chromosome aberrations in solid tumors.
    Nat Genet. 2003 Aug;34(4):369-76 PMID: 12923544
  21. Multidrug resistance in cancer: role of ATP-dependent transporters.
    Nat Rev Cancer. 2002 Jan;2(1):48-58 PMID: 11902585
  22. International Web-based consultation on priorities for translational breast cancer research.
    Breast Cancer Res. 2007;9(6):R81 PMID: 18034879
  23. Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts.
    Breast Cancer Res. 2005;7(6):R953-64 PMID: 16280042
  24. Diagnosis of multiple cancer types by shrunken centroids of gene expression.
    Proc Natl Acad Sci U S A. 2002 May 14;99(10):6567-72 PMID: 12011421
  25. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer.
    Lancet. 2005 Feb 19-25;365(9460):671-9 PMID: 15721472
  26. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine.
    Clin Chem. 1993 Apr;39(4):561-77 PMID: 8472349
  27. Predicting features of breast cancer with gene expression patterns.
    Breast Cancer Res Treat. 2008 Mar;108(2):191-201 PMID: 18297396
  28. Clinical evaluation of chemotherapy response predictors developed from breast cancer cell lines.
    Breast Cancer Res Treat. 2010 Jun;121(2):301-9 PMID: 19603265
  29. X chromosomal abnormalities in basal-like human breast cancer.
    Cancer Cell. 2006 Feb;9(2):121-32 PMID: 16473279
  30. The oncogenic properties of mutant p110alpha and p110beta phosphatidylinositol 3-kinases in human mammary epithelial cells.
    Proc Natl Acad Sci U S A. 2005 Dec 20;102(51):18443-8 PMID: 16339315
  31. Genomic signatures to guide the use of chemotherapeutics.
    Nat Med. 2006 Nov;12(11):1294-300 PMID: 17057710
  32. A strategy for predicting the chemosensitivity of human cancers and its application to drug discovery.
    Proc Natl Acad Sci U S A. 2007 Aug 7;104(32):13086-91 PMID: 17666531
  33. Cellular functions of 14-3-3 zeta in apoptosis and cell adhesion emphasize its oncogenic character.
    Oncogene. 2008 Feb 21;27(9):1315-9 PMID: 17704798
  34. Genomic and transcriptional aberrations linked to breast cancer pathophysiologies.
    Cancer Cell. 2006 Dec;10(6):529-41 PMID: 17157792
  35. Prediction of doxorubicin sensitivity in breast tumors based on gene expression profiles of drug-resistant cell lines correlates with patient survival.
    Oncogene. 2005 Nov 17;24(51):7542-51 PMID: 16044152
Article Info
Journal
Nature medicine
Abbr.
Nat Med
ISSN
1546-170X
Published
2010-02-00
Epub
2010-00-24
Pages
214-8
Language
English
Region
United States
NLM ID
9502015
PMCID
PMC2826790
Subset
IM
Grants
NCI NIH HHS · P50 CA089393-01 · United States
NCI NIH HHS · P50 CA089393 · United States
NCI NIH HHS · BC053041 · United States
NCI NIH HHS · P50 CA089393-10 · United States
NCI NIH HHS · CA89393 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: [email protected]