NCAPH drives breast cancer progression and identifies a gene signature that predicts luminal a tumour recurrence

被引:0
|
作者
Mendiburu-Elicabe, Marina [1 ,2 ]
Garcia-Sancha, Natalia [1 ,2 ]
Corchado-Cobos, Roberto [1 ,2 ]
Martinez-Lopez, Angelica [3 ,4 ]
Chang, Hang [5 ,6 ]
Hua Mao, Jian [5 ,6 ]
Blanco-Gomez, Adrian [1 ,2 ]
Garcia-Casas, Ana [3 ,4 ]
Castellanos-Martin, Andres [1 ,2 ]
Salvador, Nelida [3 ,4 ]
Jimenez-Navas, Alejandro [1 ,2 ]
Perez-Baena, Manuel Jesus [1 ,2 ]
Sanchez-Martin, Manuel Adolfo [7 ,8 ]
Abad-Hernandez, Maria Del Mar [2 ,9 ,10 ]
Del Carmen, Sofia [2 ,9 ,10 ]
Claros-Ampuero, Juncal [1 ,2 ,11 ]
Cruz-Hernandez, Juan Jesus [1 ,2 ,7 ,11 ]
Rodriguez-Sanchez, Cesar Augusto [1 ,2 ,7 ,11 ]
Garcia-Cenador, Maria Begona [2 ,12 ]
Garcia-Criado, Francisco Javier [2 ,12 ]
Vicente, Rodrigo Santamaria [13 ]
Castillo-Lluva, Sonia [3 ,4 ]
Perez-Losada, Jesus [1 ,2 ]
机构
[1] Univ Salamanca, Inst Biol Mol & Celular Canc IBMCC, CIC, CSIC, Salamanca, Spain
[2] Biosanit Res Inst Salamanca IBSAL, Salamanca, Spain
[3] Univ Complutense, Fac Ciencias Quim, Dept Bioquim & Biol Mol, Madrid, Spain
[4] San Carlos Hlth Res Inst IdISSC, Madrid, Spain
[5] Biol Syst & Engn Div, Lawrence Berkeley Natl Lab LBNL, Berkeley, CA USA
[6] Berkeley Biomed Data Sci Ctr, Lawrence Berkeley Natl Lab LBNL, Berkeley, CA USA
[7] Univ Salamanca, Dept Med, Salamanca, Spain
[8] Univ Salamanca, Serv Transgenesis, Plataforma Nucleus, Salamanca, Spain
[9] Univ Salamanca, Dept Anat Patol, Salamanca, Spain
[10] Hosp Univ Salamanca, Serv Anat Patol, Salamanca, Spain
[11] Hosp Univ Salamanca, Serv Oncol, Salamanca, Spain
[12] Univ Salamanca, Dept Cirugia, Salamanca, Spain
[13] Univ Salamanca, Dept Informat & Automat, Salamanca, Spain
来源
CLINICAL AND TRANSLATIONAL MEDICINE | 2024年 / 14卷 / 02期
基金
美国国家卫生研究院;
关键词
breast cancer; genetic signature; LASSO; luminal A subtype; NCAPH; prognosis; relapse-free survival; ESTROGEN-RECEPTOR; CONDENSIN-I; PROGNOSTIC-FACTORS; ADJUVANT THERAPY; POOR-PROGNOSIS; EXPRESSION; WOMEN; RISK; CHEMOTHERAPY; ARCHITECTURE;
D O I
10.1002/ctm2.1554
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundLuminal A tumours generally have a favourable prognosis but possess the highest 10-year recurrence risk among breast cancers. Additionally, a quarter of the recurrence cases occur within 5 years post-diagnosis. Identifying such patients is crucial as long-term relapsers could benefit from extended hormone therapy, while early relapsers might require more aggressive treatment.MethodsWe conducted a study to explore non-structural chromosome maintenance condensin I complex subunit H's (NCAPH) role in luminal A breast cancer pathogenesis, both in vitro and in vivo, aiming to identify an intratumoural gene expression signature, with a focus on elevated NCAPH levels, as a potential marker for unfavourable progression. Our analysis included transgenic mouse models overexpressing NCAPH and a genetically diverse mouse cohort generated by backcrossing. A least absolute shrinkage and selection operator (LASSO) multivariate regression analysis was performed on transcripts associated with elevated intratumoural NCAPH levels.ResultsWe found that NCAPH contributes to adverse luminal A breast cancer progression. The intratumoural gene expression signature associated with elevated NCAPH levels emerged as a potential risk identifier. Transgenic mice overexpressing NCAPH developed breast tumours with extended latency, and in Mouse Mammary Tumor Virus (MMTV)-NCAPHErbB2 double-transgenic mice, luminal tumours showed increased aggressiveness. High intratumoural Ncaph levels correlated with worse breast cancer outcome and subpar chemotherapy response. A 10-gene risk score, termed Gene Signature for Luminal A 10 (GSLA10), was derived from the LASSO analysis, correlating with adverse luminal A breast cancer progression.ConclusionsThe GSLA10 signature outperformed the Oncotype DX signature in discerning tumours with unfavourable outcomes, previously categorised as luminal A by Prediction Analysis of Microarray 50 (PAM50) across three independent human cohorts. This new signature holds promise for identifying luminal A tumour patients with adverse prognosis, aiding in the development of personalised treatment strategies to significantly improve patient outcomes. NCAPH significantly influences luminal A breast cancer progression and affects tumour behaviour and treatment response. GSLA10, a gene signature associated with NCAPH, shows promise in predicting luminal A tumour recurrence, demonstrating efficacy alongside existing models such as Oncotype DX. The study highlights the potential for tailored treatment approaches in luminal A breast cancer based on NCAPH and GSLA10 insights. image
引用
收藏
页数:27
相关论文
共 50 条
  • [41] A glycolysis-related gene expression signature in predicting recurrence of breast cancer
    Tang, Jianing
    Luo, Yongwen
    Wu, Gaosong
    AGING-US, 2020, 12 (24): : 24983 - 24994
  • [42] Search for a Gene Expression Signature of Breast Cancer Local Recurrence in Young Women
    Servant, Nicolas
    Bollet, Marc A.
    Halfwerk, Hans
    Bleakley, Kevin
    Kreike, Bas
    Jacob, Laurent
    Sie, Daoud
    Kerkhoven, Ron M.
    Hupe, Philippe
    Hadhri, Rim
    Fourquet, Alain
    Bartelink, Harry
    Barillot, Emmanuel
    Sigal-Zafrani, Brigitte
    van de Vijver, Marc J.
    CLINICAL CANCER RESEARCH, 2012, 18 (06) : 1704 - 1715
  • [43] Eight-gene signature predicts recurrence in lung adenocarcinoma
    Zhang, Yongjian
    Fan, Qiang
    Guo, Yingying
    Zhu, Koujun
    CANCER BIOMARKERS, 2020, 28 (04) : 447 - 457
  • [44] A novel mutagenesis screen identifies SHARPIN as a breast cancer metastasis gene that predicts survival of breast cancer patients
    Bii, V. M.
    Rae, D. T.
    Trobridge, G. D.
    CANCER RESEARCH, 2016, 76
  • [45] A gene signature in breast cancer
    Woodward, Wendy A.
    Lucci, Anthony
    Cristofanilli, Massimo
    NEW ENGLAND JOURNAL OF MEDICINE, 2007, 356 (18): : 1888 - 1888
  • [46] Lipophilin B gene expression predicts tumor recurrence and progression in epithelial ovarian cancer
    Bignotti, E.
    Tassi, R.
    Ravaggi, A.
    Todeschini, P.
    Tognon, G.
    Bandiera, E.
    Romani, C.
    Zanotti, L.
    Santin, A.
    Pecorelli, S.
    GYNECOLOGIC ONCOLOGY, 2010, 116 (03) : S103 - S103
  • [48] RNA-seq identifies a TGF-β signature that predicts response to preoperative bevacizumab in breast cancer
    Varadan, Vinay
    Miskimen, Kristy
    Kamalakaran, Sitharthan
    Janevski, Angel
    Banerjee, Nilanjana
    Williams, Nicole
    Abu-Khalaf, Maysa
    Sikov, William
    Dimitrova, Nevenka
    Harris, Lyndsay
    CANCER RESEARCH, 2013, 73 (08)
  • [49] Obesity and cancer—mechanisms underlying tumour progression and recurrence
    Jiyoung Park
    Thomas S. Morley
    Min Kim
    Deborah J. Clegg
    Philipp E. Scherer
    Nature Reviews Endocrinology, 2014, 10 : 455 - 465
  • [50] A microenvironment gene signature predicts poor outcome in patients with luminal breast cancers subjected to local-regional treatment
    Daidone, Maria Grazia
    Merlino, Giuseppe
    Miodini, Patrizia
    Callari, Maurizio
    Cappelletti, Vera
    CANCER RESEARCH, 2017, 77