TY - JOUR
T1 - Targeted next-generation sequencing identifies genomic abnormalities potentially driving the prognosis of early-stage invasive lobular breast carcinoma patients stratified according to a validated clinico-pathological model
AU - Carbognin, Luisa
AU - Simbolo, Michele
AU - Caliò, Anna
AU - Vicentini, Caterina
AU - Delfino, Pietro
AU - Sperduti, Isabella
AU - Fassan, Matteo
AU - Schettini, Francesco
AU - Dieci, Maria Vittoria
AU - Griguolo, Gaia
AU - Pilotto, Sara
AU - Fiorio, Elena
AU - Arpino, Grazia
AU - Guarneri, Valentina
AU - De Placido, Sabino
AU - Conte, Pierfranco
AU - Manfrin, Erminia
AU - Brunelli, Matteo
AU - Scambia, Giovanni
AU - Scarpa, Aldo
AU - Tortora, Giampaolo
AU - Bria, Emilio
PY - 2020
Y1 - 2020
N2 - Introduction: The clinico-pathological and molecular factors that drive the prognosis of invasive lobular breast carcinoma (ILC) are not entirely explored. In this regard, the development and validation of a prognostic model for ILC and the investigation of the distribution of molecular abnormalities (focusing on CDK4/6 alterations) according to prognosis were the aims of this study. Patients and methods: Two clinico-pathological multi-center data-sets of early-stage ILC patients (Training/Validation Set, TS/VS) were gathered. A 3-class model was developed according to the multivariate analysis for disease-free-survival (DFS) and externally validated. Mutational, copy number variation and transcriptomic analyses by targeted next generation sequencing (NGS) were performed (and validated with quantitative PCR) in an explorative cohort of patients with poor and good prognosis. Results: Data from overall 773 patients (TS/VS: 491/282) were gathered. The developed model significantly discriminated low/intermediate/high risk in the TS (10-years DFS: 76.3%/67.6%/39.8%, respectively, p<0.0001) and in the VS (p<0.0001). In the explorative cohort for molecular analysis (34 patients), CDK4 gain was present exclusively in the poor prognosis group (35.0%, p = 0.03; OR 7.98, 95%CI 1.51–42.1, p = 0.014). Moreover, CDK4 and 6 overexpression showed a trend toward an association with poor prognosis (OR 2.7, 95%CI 0.4–18.1, p = 0.3; OR 3.29, 95%CI 0.56–19.25, p = 0.18). Conclusions: A risk stratification model, able to accurately separate early-stage ILC patients’ prognosis into different risk classes according to clinico-pathological variables, allowed to investigate potential biomarkers of prognosis with targeted NGS. CDK4 gain is suggested for future validation as a prognostic biomarker and a potential therapeutic opportunity in ILC patients.
AB - Introduction: The clinico-pathological and molecular factors that drive the prognosis of invasive lobular breast carcinoma (ILC) are not entirely explored. In this regard, the development and validation of a prognostic model for ILC and the investigation of the distribution of molecular abnormalities (focusing on CDK4/6 alterations) according to prognosis were the aims of this study. Patients and methods: Two clinico-pathological multi-center data-sets of early-stage ILC patients (Training/Validation Set, TS/VS) were gathered. A 3-class model was developed according to the multivariate analysis for disease-free-survival (DFS) and externally validated. Mutational, copy number variation and transcriptomic analyses by targeted next generation sequencing (NGS) were performed (and validated with quantitative PCR) in an explorative cohort of patients with poor and good prognosis. Results: Data from overall 773 patients (TS/VS: 491/282) were gathered. The developed model significantly discriminated low/intermediate/high risk in the TS (10-years DFS: 76.3%/67.6%/39.8%, respectively, p<0.0001) and in the VS (p<0.0001). In the explorative cohort for molecular analysis (34 patients), CDK4 gain was present exclusively in the poor prognosis group (35.0%, p = 0.03; OR 7.98, 95%CI 1.51–42.1, p = 0.014). Moreover, CDK4 and 6 overexpression showed a trend toward an association with poor prognosis (OR 2.7, 95%CI 0.4–18.1, p = 0.3; OR 3.29, 95%CI 0.56–19.25, p = 0.18). Conclusions: A risk stratification model, able to accurately separate early-stage ILC patients’ prognosis into different risk classes according to clinico-pathological variables, allowed to investigate potential biomarkers of prognosis with targeted NGS. CDK4 gain is suggested for future validation as a prognostic biomarker and a potential therapeutic opportunity in ILC patients.
KW - Breast cancer
KW - CDK4
KW - Lobular
KW - Next-generation sequencing
KW - Prognosis
KW - Transcriptome analysis
KW - Breast cancer
KW - CDK4
KW - Lobular
KW - Next-generation sequencing
KW - Prognosis
KW - Transcriptome analysis
UR - http://hdl.handle.net/10807/153608
U2 - 10.1016/j.breast.2020.01.034
DO - 10.1016/j.breast.2020.01.034
M3 - Article
SN - 0960-9776
VL - 50
SP - 56
EP - 63
JO - THE BREAST
JF - THE BREAST
ER -