Age- and ethnic-driven molecular and clinical disparity of East Asian breast cancers.
Breast cancer
Ethnic diversity
Genomic alterations
Molecular subtypes
Precision medicine
Journal
BMC medicine
ISSN: 1741-7015
Titre abrégé: BMC Med
Pays: England
ID NLM: 101190723
Informations de publication
Date de publication:
27 Sep 2024
27 Sep 2024
Historique:
received:
05
04
2024
accepted:
13
09
2024
medline:
28
9
2024
pubmed:
28
9
2024
entrez:
28
9
2024
Statut:
epublish
Résumé
Breast cancer (BC) is a complex disease with profound genomic aberrations. However, the underlying molecular disparity influenced by age and ethnicity remains elusive. In this study, we aimed to investigate the molecular properties of 843 primary and metastatic BC patients enrolled in the K-MASTER program. By categorizing patients into two distinct age subgroups, we explored their unique molecular properties. Additionally, we leveraged large-scale genomic data from the TCGA and MSK-IMPACT studies to examine the ethnic-driven molecular and clinical disparities. We observed a high prevalence of PI3KCA mutations in K-MASTER HER2 + tumors, particularly in older patients. Moreover, we identified increased mutation rates in DNA damage response molecules, including ARID1A, MSH6, and MLH1. The K-MASTER patients were mainly comprised of triple-negative breast cancer (TNBC) and HER2-positive tumors, while the TCGA and MSK-IMPACT cohorts exhibited a predominance of hormone receptor-positive (HR +) subtype tumors. Importantly, GATA3 mutations were less frequently observed in East Asian patients, which correlated with poor clinical outcomes. In addition to characterizing the molecular disparities, we developed a gradient-boosting multivariable model to identify a new molecular signature that could predict the therapeutic response to platinum-based chemotherapy. Our findings collectively provide unprecedented insights into the significance of age and ethnicity on the molecular and clinical characteristics of BC patients.
Sections du résumé
BACKGROUND
BACKGROUND
Breast cancer (BC) is a complex disease with profound genomic aberrations. However, the underlying molecular disparity influenced by age and ethnicity remains elusive.
METHODS
METHODS
In this study, we aimed to investigate the molecular properties of 843 primary and metastatic BC patients enrolled in the K-MASTER program. By categorizing patients into two distinct age subgroups, we explored their unique molecular properties. Additionally, we leveraged large-scale genomic data from the TCGA and MSK-IMPACT studies to examine the ethnic-driven molecular and clinical disparities.
RESULTS
RESULTS
We observed a high prevalence of PI3KCA mutations in K-MASTER HER2 + tumors, particularly in older patients. Moreover, we identified increased mutation rates in DNA damage response molecules, including ARID1A, MSH6, and MLH1. The K-MASTER patients were mainly comprised of triple-negative breast cancer (TNBC) and HER2-positive tumors, while the TCGA and MSK-IMPACT cohorts exhibited a predominance of hormone receptor-positive (HR +) subtype tumors. Importantly, GATA3 mutations were less frequently observed in East Asian patients, which correlated with poor clinical outcomes. In addition to characterizing the molecular disparities, we developed a gradient-boosting multivariable model to identify a new molecular signature that could predict the therapeutic response to platinum-based chemotherapy.
CONCLUSIONS
CONCLUSIONS
Our findings collectively provide unprecedented insights into the significance of age and ethnicity on the molecular and clinical characteristics of BC patients.
Identifiants
pubmed: 39334392
doi: 10.1186/s12916-024-03638-y
pii: 10.1186/s12916-024-03638-y
doi:
Substances chimiques
Receptor, ErbB-2
EC 2.7.10.1
GATA3 Transcription Factor
0
ERBB2 protein, human
EC 2.7.10.1
GATA3 protein, human
0
Class I Phosphatidylinositol 3-Kinases
EC 2.7.1.137
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
422Subventions
Organisme : National Research Foundation of Korea
ID : RS-2023-00209742
Organisme : Ministry of Health and Welfare
ID : HI17C2206
Informations de copyright
© 2024. The Author(s).
Références
Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, Bray F. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49.
doi: 10.3322/caac.21660
pubmed: 33538338
Perou CM, Sorlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, Pollack JR, Ross DT, Johnsen H, Akslen LA, et al. Molecular portraits of human breast tumours. Nature. 2000;406(6797):747–52.
pubmed: 10963602
doi: 10.1038/35021093
Nielsen TO, Hsu FD, Jensen K, Cheang M, Karaca G, Hu Z, Hernandez-Boussard T, Livasy C, Cowan D, Dressler L, et al. Immunohistochemical and clinical characterization of the basal-like subtype of invasive breast carcinoma. Clin Cancer Res. 2004;10(16):5367–74.
pubmed: 15328174
doi: 10.1158/1078-0432.CCR-04-0220
Hamburg MA, Collins FS. The path to personalized medicine. N Engl J Med. 2010;363(4):301–4.
pubmed: 20551152
doi: 10.1056/NEJMp1006304
Martin LP, Hamilton TC, Schilder RJ. Platinum resistance: the role of DNA repair pathways. Clin Cancer Res. 2008;14(5):1291–5.
pubmed: 18316546
doi: 10.1158/1078-0432.CCR-07-2238
Park KH, Choi JY, Lim AR, Kim JW, Choi YJ, Lee S, Sung JS, Chung HJ, Jang B, Yoon D, et al. Genomic landscape and clinical utility in Korean advanced pan-cancer patients from prospective clinical sequencing: K-MASTER program. Cancer Discov. 2022;12(4):938–48.
pubmed: 34862196
doi: 10.1158/2159-8290.CD-21-1064
Cancer Genome Atlas Research N, Weinstein JN, Collisson EA, Mills GB, Shaw KR, Ozenberger BA, Ellrott K, Shmulevich I, Sander C, Stuart JM. The cancer genome atlas pan-cancer analysis project. Nat Genet. 2013;45(10):1113–20.
doi: 10.1038/ng.2764
Zehir A, Benayed R, Shah RH, Syed A, Middha S, Kim HR, Srinivasan P, Gao J, Chakravarty D, Devlin SM, et al. Mutational landscape of metastatic cancer revealed from prospective clinical sequencing of 10,000 patients. Nat Med. 2017;23(6):703–13.
pubmed: 28481359
pmcid: 5461196
doi: 10.1038/nm.4333
Nik-Zainal S, Davies H, Staaf J, Ramakrishna M, Glodzik D, Zou X, Martincorena I, Alexandrov LB, Martin S, Wedge DC, et al. Landscape of somatic mutations in 560 breast cancer whole-genome sequences. Nature. 2016;534(7605):47–54.
pubmed: 27135926
pmcid: 4910866
doi: 10.1038/nature17676
Ciriello G, Gatza ML, Beck AH, Wilkerson MD, Rhie SK, Pastore A, Zhang H, McLellan M, Yau C, Kandoth C, et al. Comprehensive molecular portraits of invasive lobular breast cancer. Cell. 2015;163(2):506–19.
pubmed: 26451490
pmcid: 4603750
doi: 10.1016/j.cell.2015.09.033
Razavi P, Chang MT, Xu G, Bandlamudi C, Ross DS, Vasan N, Cai Y, Bielski CM, Donoghue MTA, Jonsson P, et al. The genomic landscape of endocrine-resistant advanced breast cancers. Cancer Cell. 2018;34(3):427–38 e426.
pubmed: 30205045
pmcid: 6327853
doi: 10.1016/j.ccell.2018.08.008
Li Q, Jiang B, Guo J, Shao H, Del Priore IS, Chang Q, Kudo R, Li Z, Razavi P, Liu B, et al. INK4 tumor suppressor proteins mediate resistance to CDK4/6 kinase inhibitors. Cancer Discov. 2022;12(2):356–71.
pubmed: 34544752
doi: 10.1158/2159-8290.CD-20-1726
Cancer Genome Atlas N. Comprehensive molecular portraits of human breast tumours. Nature. 2012;490(7418):61–70.
doi: 10.1038/nature11412
Min SY, Kim Z, Hur MH, Yoon CS, Park EH, Jung KW. Korean Breast Cancer Society C: the basic facts of Korean breast cancer in 2013: results of a nationwide survey and breast cancer registry database. J Breast Cancer. 2016;19(1):1–7.
pubmed: 27066090
pmcid: 4822102
doi: 10.4048/jbc.2016.19.1.1
Heer E, Harper A, Escandor N, Sung H, McCormack V, Fidler-Benaoudia MM. Global burden and trends in premenopausal and postmenopausal breast cancer: a population-based study. Lancet Glob Health. 2020;8(8):e1027–37.
pubmed: 32710860
doi: 10.1016/S2214-109X(20)30215-1
Williams LJ, Fletcher E, Douglas A, Anderson EDC, McCallum A, Simpson CR, Smith J, Moger TA, Peltola M, Mihalicza P, et al. Retrospective cohort study of breast cancer incidence, health service use and outcomes in Europe: a study of feasibility. Eur J Public Health. 2018;28(2):327–32.
pubmed: 29020283
doi: 10.1093/eurpub/ckx127
Howlader N, Cronin KA, Kurian AW, Andridge R. Differences in breast cancer survival by molecular subtypes in the United States. Cancer Epidemiol Biomarkers Prev. 2018;27(6):619–26.
pubmed: 29593010
doi: 10.1158/1055-9965.EPI-17-0627
Giaquinto AN, Sung H, Miller KD, Kramer JL, Newman LA, Minihan A, Jemal A, Siegel RL. Breast cancer statistics, 2022. CA Cancer J Clin. 2022;72(6):524–41.
pubmed: 36190501
doi: 10.3322/caac.21754
Gnerlich JL, Deshpande AD, Jeffe DB, Sweet A, White N, Margenthaler JA. Elevated breast cancer mortality in women younger than age 40 years compared with older women is attributed to poorer survival in early-stage disease. J Am Coll Surg. 2009;208(3):341–7.
pubmed: 19317994
pmcid: 3262236
doi: 10.1016/j.jamcollsurg.2008.12.001
Fredholm H, Magnusson K, Lindstrom LS, Tobin NP, Lindman H, Bergh J, Holmberg L, Ponten F, Frisell J, Fredriksson I. Breast cancer in young women and prognosis: how important are proliferation markers? Eur J Cancer. 2017;84:278–89.
pubmed: 28844016
doi: 10.1016/j.ejca.2017.07.044
Pala L, Conforti F, Goldhirsch A. Ethnicity-based differences in breast cancer features and responsiveness to CDK4/6 inhibitors combined with endocrine therapy. Lancet Oncol. 2020;21(3):e130.
pubmed: 32135114
doi: 10.1016/S1470-2045(20)30072-3
Leong SP, Shen ZZ, Liu TJ, Agarwal G, Tajima T, Paik NS, Sandelin K, Derossis A, Cody H, Foulkes WD. Is breast cancer the same disease in Asian and Western countries? World J Surg. 2010;34(10):2308–24.
pubmed: 20607258
pmcid: 2936680
doi: 10.1007/s00268-010-0683-1
Kan Z, Ding Y, Kim J, Jung HH, Chung W, Lal S, Cho S, Fernandez-Banet J, Lee SK, Kim SW, et al. Multi-omics profiling of younger asian breast cancers reveals distinctive molecular signatures. Nat Commun. 2018;9(1):1725.
pubmed: 29713003
pmcid: 5928087
doi: 10.1038/s41467-018-04129-4
Lin CH, Huang RY, Lu TP, Kuo KT, Lo KY, Chen CH, Chen IC, Lu YS, Chuang EY, Thiery JP, et al. High prevalence of APOA1/C3/A4/A5 alterations in luminal breast cancers among young women in East Asia. NPJ Breast Cancer. 2021;7(1):88.
pubmed: 34226567
pmcid: 8257799
doi: 10.1038/s41523-021-00299-5
Mealey NE, O’Sullivan DE, Pader J, Ruan YB, Wang E, Quan ML, Brenner DR. Mutational landscape differences between young-onset and older-onset breast cancer patients. Bmc Cancer. 2020;20(1):212.
pubmed: 32164620
pmcid: 7068998
doi: 10.1186/s12885-020-6684-z
Liao S, Hartmaier RJ, McGuire KP, Puhalla SL, Luthra S, Chandran UR, Ma T, Bhargava R, Modugno F, Davidson NE, et al. The molecular landscape of premenopausal breast cancer. Breast Cancer Res. 2015;17:104.
pubmed: 26251034
pmcid: 4531812
doi: 10.1186/s13058-015-0618-8
Shah Y, Verma A, Marderstein AR, White J, Bhinder B, Garcia Medina JS, Elemento O. Pan-cancer analysis reveals molecular patterns associated with age. Cell Rep. 2021;37(10):110100.
pubmed: 34879281
doi: 10.1016/j.celrep.2021.110100
Lee W, Wang Z, Saffern M, Jun T, Huang KL. Genomic and molecular features distinguish young adult cancer from later-onset cancer. Cell Rep. 2021;37(7):110005.
pubmed: 34788626
pmcid: 8631509
doi: 10.1016/j.celrep.2021.110005
Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics. 2009;25(14):1754–60.
pubmed: 19451168
pmcid: 2705234
doi: 10.1093/bioinformatics/btp324
Talevich E, Shain AH, Botton T, Bastian BC. CNVkit: genome-wide copy number detection and visualization from targeted DNA sequencing. PLoS Comput Biol. 2016;12(4):e1004873.
pubmed: 27100738
pmcid: 4839673
doi: 10.1371/journal.pcbi.1004873
Rosenthal R, McGranahan N, Herrero J, Taylor BS, Swanton C. DeconstructSigs: delineating mutational processes in single tumors distinguishes DNA repair deficiencies and patterns of carcinoma evolution. Genome Biol. 2016;17:31.
pubmed: 26899170
pmcid: 4762164
doi: 10.1186/s13059-016-0893-4
Ciriello G, Cerami E, Sander C, Schultz N. Mutual exclusivity analysis identifies oncogenic network modules. Genome Res. 2012;22(2):398–406.
pubmed: 21908773
pmcid: 3266046
doi: 10.1101/gr.125567.111
Adzhubei IA, Schmidt S, Peshkin L, Ramensky VE, Gerasimova A, Bork P, Kondrashov AS, Sunyaev SR. A method and server for predicting damaging missense mutations. Nat Methods. 2010;7(4):248–9.
pubmed: 20354512
pmcid: 2855889
doi: 10.1038/nmeth0410-248
Ng PC, Henikoff S. SIFT: predicting amino acid changes that affect protein function. Nucleic Acids Res. 2003;31(13):3812–4.
pubmed: 12824425
pmcid: 168916
doi: 10.1093/nar/gkg509
Ma D, Jiang YZ, Xiao Y, Xie MD, Zhao S, Jin X, Xu XE, Shao ZM. Integrated molecular profiling of young and elderly patients with triple-negative breast cancer indicates different biological bases and clinical management strategies. Cancer. 2020;126(14):3209–18.
pubmed: 32383785
doi: 10.1002/cncr.32922
Brenner DR, Brockton NT, Kotsopoulos J, Cotterchio M, Boucher BA, Courneya KS, Knight JA, Olivotto IA, Quan ML, Friedenreich CM. Breast cancer survival among young women: a review of the role of modifiable lifestyle factors. Cancer Causes Control. 2016;27(4):459–72.
pubmed: 26970739
pmcid: 4796361
doi: 10.1007/s10552-016-0726-5
Jiang YZ, Ma D, Suo C, Shi J, Xue M, Hu X, Xiao Y, Yu KD, Liu YR, Yu Y, et al. Genomic and transcriptomic landscape of triple-negative breast cancers: subtypes and treatment strategies. Cancer Cell. 2019;35(3):428–40 e425.
pubmed: 30853353
doi: 10.1016/j.ccell.2019.02.001
Chakravarty D, Gao J, Phillips SM, Kundra R, Zhang H, Wang J, Rudolph JE, Yaeger R, Soumerai T, Nissan MH, et al. OncoKB: A precision oncology knowledge base. JCO Precis Oncol. 2017;2017.
Pitt JJ, Riester M, Zheng Y, Yoshimatsu TF, Sanni A, Oluwasola O, Veloso A, Labrot E, Wang S, Odetunde A, et al. Characterization of Nigerian breast cancer reveals prevalent homologous recombination deficiency and aggressive molecular features. Nat Commun. 2018;9(1):4181.
pubmed: 30327465
pmcid: 6191428
doi: 10.1038/s41467-018-06616-0
Roelands J, Mall R, Almeer H, Thomas R, Mohamed MG, Bedri S, Al-Bader SB, Junejo K, Ziv E, Sayaman RW, et al. Ancestry-associated transcriptomic profiles of breast cancer in patients of African, Arab, and European ancestry. NPJ Breast Cancer. 2021;7(1):10.
pubmed: 33558495
pmcid: 7870839
doi: 10.1038/s41523-021-00215-x
Pan JW, Zabidi MMA, Ng PS, Meng MY, Hasan SN, Sandey B, Sammut SJ, Yip CH, Rajadurai P, Rueda OM, et al. The molecular landscape of Asian breast cancers reveals clinically relevant population-specific differences. Nat Commun. 2020;11(1):6433.
pubmed: 33353943
pmcid: 7755902
doi: 10.1038/s41467-020-20173-5
Nguyen DX, Bos PD, Massague J. Metastasis: from dissemination to organ-specific colonization. Nat Rev Cancer. 2009;9(4):274–84.
pubmed: 19308067
doi: 10.1038/nrc2622
Nguyen B, Fong C, Luthra A, Smith SA, DiNatale RG, Nandakumar S, Walch H, Chatila WK, Madupuri R, Kundra R, et al. Genomic characterization of metastatic patterns from prospective clinical sequencing of 25,000 patients. Cell. 2022;185(3):563–75 e511.
pubmed: 35120664
pmcid: 9147702
doi: 10.1016/j.cell.2022.01.003
Cha S, Lee E, Won H-H. Comprehensive characterization of distinct genetic alterations in metastatic breast cancer across various metastatic sites. NPJ breast cancer. 2021;7(1):93.
pubmed: 34272397
pmcid: 8285498
doi: 10.1038/s41523-021-00303-y
Sledge GW Jr, Loehrer PJ Sr, Roth BJ, Einhorn LH. Cisplatin as first-line therapy for metastatic breast cancer. J Clin Oncol. 1988;6(12):1811–4.
pubmed: 3199166
doi: 10.1200/JCO.1988.6.12.1811
Kolaric K, Vukas D. Carboplatin activity in untreated metastatic breast cancer patients–results of a phase II study. Cancer Chemother Pharmacol. 1991;27(5):409–12.
pubmed: 1999004
doi: 10.1007/BF00688868
Yimit A, Adebali O, Sancar A, Jiang Y. Differential damage and repair of DNA-adducts induced by anti-cancer drug cisplatin across mouse organs. Nat Commun. 2019;10(1):309.
pubmed: 30659176
pmcid: 6338751
doi: 10.1038/s41467-019-08290-2
Basourakos SP, Li L, Aparicio AM, Corn PG, Kim J, Thompson TC. Combination platinum-based and DNA damage response-targeting cancer therapy: evolution and future directions. Curr Med Chem. 2017;24(15):1586–606.
pubmed: 27978798
pmcid: 5471128
doi: 10.2174/0929867323666161214114948
Miller RE, Leary A, Scott CL, Serra V, Lord CJ, Bowtell D, Chang DK, Garsed DW, Jonkers J, Ledermann JA, et al. ESMO recommendations on predictive biomarker testing for homologous recombination deficiency and PARP inhibitor benefit in ovarian cancer. Ann Oncol. 2020;31(12):1606–22.
pubmed: 33004253
doi: 10.1016/j.annonc.2020.08.2102
Chen TQ, Guestrin C. XGBoost: a scalable tree boosting system. In: Kdd’16: proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining. 2016. p. 785–94.
doi: 10.1145/2939672.2939785
Ichikawa H, Nagahashi M, Shimada Y, Hanyu T, Ishikawa T, Kameyama H, Kobayashi T, Sakata J, Yabusaki H, Nakagawa S, et al. Actionable gene-based classification toward precision medicine in gastric cancer. Genome Med. 2017;9(1):93.
pubmed: 29089060
pmcid: 5664811
doi: 10.1186/s13073-017-0484-3
Joshi SK, Nechiporuk T, Bottomly D, Piehowski PD, Reisz JA, Pittsenbarger J, Kaempf A, Gosline SJC, Wang YT, Hansen JR, et al. The AML microenvironment catalyzes a stepwise evolution to gilteritinib resistance. Cancer Cell. 2021;39(7):999–1014 e1018.
pubmed: 34171263
pmcid: 8686208
doi: 10.1016/j.ccell.2021.06.003
Adib E, Nassar AH, Akl EW, Abou Alaiwi S, Nuzzo PV, Mouhieddine TH, Sonpavde G, Haddad RI, Mouw KW, Giannakis M, et al. CDKN2A alterations and response to immunotherapy in solid tumors. Clin Cancer Res. 2021;27(14):4025–35.
pubmed: 34074656
pmcid: 8900067
doi: 10.1158/1078-0432.CCR-21-0575
Hruschka N, Kalisz M, Subijana M, Grana-Castro O, Del Cano-Ochoa F, Brunet LP, Chernukhin I, Sagrera A, De Reynies A, Kloesch B, et al. The GATA3 X308_Splice breast cancer mutation is a hormone context-dependent oncogenic driver. Oncogene. 2020;39(32):5455–67.
pubmed: 32587399
pmcid: 7410826
doi: 10.1038/s41388-020-1376-3
Gustin JP, Miller J, Farag M, Rosen DM, Thomas M, Scharpf RB, Lauring J. GATA3 frameshift mutation promotes tumor growth in human luminal breast cancer cells and induces transcriptional changes seen in primary GATA3 mutant breast cancers. Oncotarget. 2017;8(61):103415–27.
pubmed: 29262572
pmcid: 5732738
doi: 10.18632/oncotarget.21910
Bedwinek JM, Lee J, Fineberg B, Ocwieza M. Prognostic indicators in patients with isolated local-regional recurrence of breast cancer. Cancer. 1981;47(9):2232–5.
pubmed: 7226118
doi: 10.1002/1097-0142(19810501)47:9<2232::AID-CNCR2820470921>3.0.CO;2-R
Morris GJ, Naidu S, Topham AK, Guiles F, Xu Y, McCue P, Schwartz GF, Park PK, Rosenberg AL, Brill K, et al. Differences in breast carcinoma characteristics in newly diagnosed African-American and Caucasian patients: a single-institution compilation compared with the National Cancer Institute’s Surveillance, Epidemiology, and End Results database. Cancer. 2007;110(4):876–84.
pubmed: 17620276
doi: 10.1002/cncr.22836
Dent R, Trudeau M, Pritchard KI, Hanna WM, Kahn HK, Sawka CA, Lickley LA, Rawlinson E, Sun P, Narod SA. Triple-negative breast cancer: clinical features and patterns of recurrence. Clin Cancer Res. 2007;13(15 Pt 1):4429–34.
pubmed: 17671126
doi: 10.1158/1078-0432.CCR-06-3045