Neuroendocrine pathways and breast cancer progression: a pooled analysis of somatic mutations and gene expression from two large breast cancer cohorts

被引:2
作者
Hu, Kejia [1 ,2 ]
Wang, Chengshi [1 ,3 ]
Luo, Chuanxu [1 ]
Zheng, Hong [1 ]
Song, Huan [4 ,5 ]
Bergstedt, Jacob [2 ,6 ]
Fall, Katja [2 ,7 ]
Luo, Ting [1 ]
Czene, Kamila [6 ]
Valdimarsdottir, Unnur A. [5 ,6 ,8 ]
Fang, Fang [2 ]
Lu, Donghao [1 ,2 ,8 ]
机构
[1] Sichuan Univ, West China Hosp, Clin Res Ctr Breast, Lab Mol Diag Canc, Chengdu, Peoples R China
[2] Karolinska Inst, Inst Environm Med, Unit Integrat Epidemiol, Stockholm, Sweden
[3] Univ Elect Sci & Technol China, Sichuan Canc Hosp & Inst, Sichuan Canc Ctr, Sch Med, Chengdu, Peoples R China
[4] Sichuan Univ, West China Hosp, West China Biomed Big Data Ctr, Chengdu, Peoples R China
[5] Univ Iceland, Fac Med, Ctr Publ Hlth Sci, Reykjavik, Iceland
[6] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
[7] Orebro Univ, Sch Med Sci, Clin Epidemiol & Biostat, Orebro, Sweden
[8] Harvard TH Chan Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA
基金
瑞典研究理事会; 中国国家自然科学基金;
关键词
Breast cancer; Somatic mutation; Differential expression; Pathway; ESTROGEN-RECEPTOR; GLUCOCORTICOID-RECEPTOR; TUMOR PROGRESSION; POOR-PROGNOSIS; SURVIVAL; EFFICACY; CHEMOTHERAPY; ALIGNMENT; CORTISOL; THERAPY;
D O I
10.1186/s12885-022-09779-8
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Experimental studies indicate that neuroendocrine pathways might play a role in progression of breast cancer. We aim to test the hypothesis that somatic mutations in the genes of neuroendocrine pathways influence breast cancer prognosis, through dysregulated gene expression in tumor tissue. Methods We conducted an extreme case-control study including 208 breast cancer patients with poor invasive disease-free survival (iDFS) and 208 patients with favorable iDFS who were individually matched on molecular subtype from the Breast Cancer Cohort at West China Hospital (WCH; N = 192) and The Cancer Genome Atlas (TCGA; N = 224). Whole exome sequencing and RNA sequencing of tumor and paired normal breast tissues were performed. Adrenergic, glucocorticoid, dopaminergic, serotonergic, and cholinergic pathways were assessed for differences in mutation burden and gene expression in relation to breast cancer iDFS using the logistic regression and global test, respectively. Results In the pooled analysis, presence of any somatic mutation (odds ratio = 1.66, 95% CI: 1.07-2.58) of the glucocorticoid pathway was associated with poor iDFS and a two-fold increase of tumor mutation burden was associated with 17% elevated odds (95% CI: 2-35%), after adjustment for cohort membership, age, menopausal status, molecular subtype, and tumor stage. Differential expression of genes in the glucocorticoid pathway in tumor tissue (P = 0.028), but not normal tissue (P = 0.701), was associated with poor iDFS. Somatic mutation of the adrenergic and cholinergic pathways was significantly associated with iDFS in WCH, but not in TCGA. Conclusion Glucocorticoid pathway may play a role in breast cancer prognosis through differential mutations and expression. Further characterization of its functional role may open new avenues for the development of novel therapeutic targets for breast cancer.
引用
收藏
页数:10
相关论文
共 50 条
[1]  
[Anonymous], CANC GENOME ATLAS PR
[2]   Tumor Mutational Burden and PTEN Alterations as Molecular Correlates of Response to PD-1/L1 Blockade in Metastatic Triple-Negative Breast Cancer [J].
Barroso-Sousa, Romualdo ;
Keenan, Tanya E. ;
Pernas, Sonia ;
Exman, Pedro ;
Jain, Esha ;
Garrido-Castro, Ana C. ;
Hughes, Melissa ;
Bychkovsky, Brittany ;
Umeton, Renato ;
Files, Janet L. ;
Lindeman, Neal I. ;
MacConaill, Laura E. ;
Hodi, F. Stephen ;
Krop, Ian E. ;
Dillon, Deborah ;
Winer, Eric P. ;
Wagle, Nikhil ;
Lin, Nancy U. ;
Mittendorf, Elizabeth A. ;
Van Allen, Eliezer M. ;
Tolaney, Sara M. .
CLINICAL CANCER RESEARCH, 2020, 26 (11) :2565-2572
[3]   ANTI-EMETIC EFFICACY OF DEXAMETHASONE THERAPY IN PATIENTS RECEIVING CANCER-CHEMOTHERAPY [J].
CASSILETH, PA ;
LUSK, EJ ;
TORRI, S ;
DINUBILE, N ;
GERSON, SL .
ARCHIVES OF INTERNAL MEDICINE, 1983, 143 (07) :1347-1349
[4]   The cBio Cancer Genomics Portal: An Open Platform for Exploring Multidimensional Cancer Genomics Data [J].
Cerami, Ethan ;
Gao, Jianjiong ;
Dogrusoz, Ugur ;
Gross, Benjamin E. ;
Sumer, Selcuk Onur ;
Aksoy, Buelent Arman ;
Jacobsen, Anders ;
Byrne, Caitlin J. ;
Heuer, Michael L. ;
Larsson, Erik ;
Antipin, Yevgeniy ;
Reva, Boris ;
Goldberg, Arthur P. ;
Sander, Chris ;
Schultz, Nikolaus .
CANCER DISCOVERY, 2012, 2 (05) :401-404
[5]  
Ding H, 2018, ANN ONCOL, V29
[6]   Epigenetic identification of ADCY4 as a biomarker for breast cancer: an integrated analysis of adenylate cyclases [J].
Fan, Yu ;
Mu, Junhao ;
Huang, Mingquan ;
Imani, Saber ;
Wang, Yu ;
Lin, Sheng ;
Fan, Juan ;
Wen, Qinglian .
EPIGENOMICS, 2019, 11 (14) :1561-1579
[7]  
Gao QG, 2013, EUR REV MED PHARMACO, V17, P2159
[8]   A global test for groups of genes: testing association with a clinical outcome [J].
Goeman, JJ ;
van de Geer, SA ;
de Kort, F ;
van Houwelingen, HC .
BIOINFORMATICS, 2004, 20 (01) :93-99
[9]   Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013 [J].
Goldhirsch, A. ;
Winer, E. P. ;
Coates, A. S. ;
Gelber, R. D. ;
Piccart-Gebhart, M. ;
Thuerlimann, B. ;
Senn, H. -J. .
ANNALS OF ONCOLOGY, 2013, 24 (09) :2206-2223
[10]   Guidelines for time-to-event end point definitions in breast cancer trials: results of the DATECAN initiative (Definition for the Assessment of Time-to-event Endpoints in CANcer trials) [J].
Gourgou-Bourgade, S. ;
Cameron, D. ;
Poortmans, P. ;
Asselain, B. ;
Azria, D. ;
Cardoso, F. ;
A'Hern, R. ;
Bliss, J. ;
Bogaerts, J. ;
Bonnefoi, H. ;
Brain, E. ;
Cardoso, M. J. ;
Chibaudel, B. ;
Coleman, R. ;
Cufer, T. ;
Dal Lago, L. ;
Dalenc, F. ;
De Azambuja, E. ;
Debled, M. ;
Delaloge, S. ;
Filleron, T. ;
Gligorov, J. ;
Gutowski, M. ;
Jacot, W. ;
Kirkove, C. ;
MacGrogan, G. ;
Michiels, S. ;
Negreiros, I. ;
Offersen, B. V. ;
Llorca, F. Penault ;
Pruneri, G. ;
Roche, H. ;
Russell, N. S. ;
Schmitt, F. ;
Servent, V. ;
Thuerlimann, B. ;
Untch, M. ;
van der Hage, J. A. ;
van Tienhoven, G. ;
Wildiers, H. ;
Yarnold, J. ;
Bonnetain, F. ;
Mathoulin-Pelissier, S. ;
Bellera, C. ;
Dabakuyo-Yonli, T. S. .
ANNALS OF ONCOLOGY, 2015, 26 (05) :873-879