Abstract PO5-25-12: CDH1 mutations predict resistance to neoadjuvant taxane therapy
Authors: Knappskog Stian , Helwa Reham , Rachakonda Sivaramakrishna , Gansmo Liv B. , Denkert Carsten , Yates Lucy R. , Solbach Christine , Untch Michael , Sinn Bruno V. , Litmeyer Anne-Sophie , Ataseven Beyhan , Huober Jens , Wedge David C. , Karn Thomas , Nikolaienko Oleksii , Marmé Frederik , Fasching Peter A. , Eikesdal Hans Petter , Stickeler Elmar , Schem Christian , Jank Paul , van Mackelenbergh Marion , Müller Volkmar , Felder Baerbel , Holtschmidt Johannes , Campbell Peter J. , Loibl Sibylle , Lonning Per 
Published: May 2024

Background:

Despite recent advances in personalized medicine, conventional chemotherapy remains a backbone in breast cancer therapy. Thus, identifying markers predicting sensitivity or resistance to individual chemotherapeutics is of great importance.

Methods:

In the EpiTax neoadjuvant trial, enrolling patients between 1997-2003, patients with primary breast cancers (T2 &gt;4cm, T3/T4 and/or N2/N3) were randomized to epirubicin 90mg/m2/3W or paclitaxel 200mg/m²/3W monotherapy, with cross-over in case of inferior response. Pre-treatment snap-frozen tumor biopsies from 223 patients were analyzed by targeted NGS of a 360 gene panel. Endpoint for comparison was clinical response to the first regimen, since pCR was rare due to the large tumor sizes at inclusion. For validation purposes we performed targeted sequencing of tumor samples from a total of 478 patients included in the Gepar Trio (n=132), Quattro (n=171) and Quinto (n=175) trials, in which patients with &gt;2cm tumors received neoadjuvant anthracycline/taxane combination regimens. Here, the primary endpoint was clinical response to combined treatment, but since these tumors were smaller than in the EpiTax-trial, pCR was included as a secondary endpoint. In addition, experimental validations were performed -by CDH1 knock-down and CRISPR/Cas9 knock-out in cell line models.

Results:

In samples from the EpiTax-trial, CDH1 mutations predicted an inferior response (trend across response groups; cPD, cSD, cPR and cCR) in the paclitaxel arm (p=0.01) as well as the epirubicin arm (p=0.04). The predictive value was observed within the subgroup of ER-positive cases (both for paclitaxel (p=0.005) and epirubicin (p=0.003)) but not among ER-negative tumors. The majority of CDH1 mutations (24/34=71%) were observed in lobular cancers. While lobular histology predicted resistance to paclitaxel (but not epirubicin), CDH1 mutations predicted resistance also within the subgroup of lobular cases (p=0.002), demonstrating CDH1 mutations to be an independent predictor and not only a co-variate to lobular histology. As assessing functionally linked genes, mutations in GATA3, a transcriptional regulator of CDH1, were predominantly observed in ductal cancers, and were not predictive of resistance to any compound. Yet, combining GATA3 and CDH1 mutations into a composite biomarker predicted resistance to both paclitaxel (p=0.007) and epirubicin (p=0.01), especially in ER-positive cases (p=0.002 and p=0.0004, respectively). While EMT-signatures had predictive value, this effect was largely dominated by CDH1, while other EMT-related genes had limited impact on response.

In the independent validation cohort from the Gepar trials, selected with enrichment for lobular cancers (34%), CDH1 mutations were not significantly associated with resistance to therapy (p=0.19) although predicted lack of pCR (p=0.01). Combining GATA3 and CDH1 mutations predicted lack of clinical response (p=0.05) and lack of pCR (p=0.0007) respectively in this cohort.

In the in vitro analyses, resistance to paclitaxel was observed in three different breast cancer cell lines upon siRNA mediated knock-down of CDH1, as well as in a CRISPR/Cas9 mediated CDH1 knock-out model, as measured by growth rate, induction of apoptosis, G2 arrest, mitochondrial respiration and tubulin stability. For anthracyclines, similar effects were observed for mitochondrial respiration.

Conclusions:

In conclusion, mutations in CDH1 predicted resistance to paclitaxel and epirubicin. Our data suggest that CDH1 mutations should be explored further as a predictive biomarker for potential application.

Citation Format: Stian Knappskog, Reham Helwa, Sivaramakrishna Rachakonda, Liv B. Gansmo, Carsten Denkert, Lucy R. Yates, Christine Solbach, Michael Untch, Bruno V. Sinn, Anne-Sophie Litmeyer, Beyhan Ataseven, Jens Huober, David C. Wedge, Thomas Karn, Oleksii Nikolaienko, Frederik Marmé, Peter A. Fasching, Hans Petter Eikesdal, Elmar Stickeler, Christian Schem, Paul Jank, Marion van Mackelenbergh, Volkmar Müller, Baerbel Felder, Johannes Holtschmidt, Peter J. Campbell, Sibylle Loibl, Per Lonning. CDH1 mutations predict resistance to neoadjuvant taxane therapy [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO5-25-12.