Trastuzumab Response Research Articles

Overcoming retinoic acid resistance in HER2-enriched breast cancers: role of MYC.

HER2-enriched (HER2+) breast cancers express high levels of the growth-promoting HER2 protein. Although these cancers are treated with the HER2-targeted drug, trastuzumab, resistance to treatment is common. Retinoic acid (RA) is an anti-cancer agent that has been successfully used for the treatment of leukemia and holds promise for the treatment of solid cancers, including breast cancer. The HER2 gene is frequently co-amplified with RARA, a key determinant of RA sensitivity in breast cancers. It seems surprising, therefore, that HER2+ breast cancers are refractory to RA treatment. Here, we show that MYC mediates RA resistance by suppressing the expression of cellular retinoic acid binding protein 2 (CRABP2), resulting in RARα inactivation. CRABP2 is an intracellular RA transporter that delivers RA to the nuclear receptor RARα for its activation. Our results indicate that response to RA is enhanced by MYC depletion in HER2+ breast cancer cells and that RA treatment enhances trastuzumab responsiveness. Our findings support the use of RA and trastuzumab for the treatment of subsets of patients with breast cancers that are HER2-RARα co-amplified and have low levels of MYC.

Targeting undruggable phosphatase overcomes trastuzumab resistance by inhibiting multi-oncogenic kinases

AimsResistance to targeted therapy is one of the critical obstacles in cancer management. Resistance to trastuzumab frequently develops in the treatment for HER2+ cancers. The role of protein tyrosine phosphatases (PTPs) in trastuzumab resistance is not well understood. In this study, we aim to identify pivotal PTPs affecting trastuzumab resistance and devise a novel counteracting strategy. MethodsFour public datasets were used to screen PTP candidates in relation to trastuzumab responsiveness in HER2+ breast cancer. Tyrosine kinase (TK) arrays were used to identify kinases that linked to protein tyrosine phosphate receptor type O (PTPRO)-enhanced trastuzumab sensitivity. The efficacy of small activating RNA (saRNA) in trastuzumab-conjugated silica nanoparticles was tested for PTPRO upregulation and resistance mitigation in cell models, a transgenic mouse model, and human cancer cell line-derived xenograft models. ResultsPTPRO was identified as the key PTP which influences trastuzumab responsiveness and patient survival. PTPRO de-phosphorated several TKs, including the previously overlooked substrate ERBB3, thereby inhibiting multiple oncogenic pathways associated with drug resistance. Notably, PTPRO, previously deemed “undruggable,” was effectively upregulated by saRNA-loaded nanoparticles. The upregulated PTPRO simultaneously inhibited ERBB3, ERBB2, and downstream SRC signaling pathways, thereby counteracting trastuzumab resistance. ConclusionsAntibody-conjugated saRNA represents an innovative approach for targeting “undruggable” PTPs.

Metabolic heterogeneity affects trastuzumab response and survival in HER2-positive advanced gastric cancer

BackgroundTrastuzumab is the only first-line treatment targeted against the human epidermal growth factor receptor 2 (HER2) approved for patients with HER2-positive advanced gastric cancer. The impact of metabolic heterogeneity on trastuzumab treatment efficacy remains unclear.MethodsSpatial metabolomics via high mass resolution imaging mass spectrometry was performed in pretherapeutic biopsies of patients with HER2-positive advanced gastric cancer in a prospective multicentre observational study. The mass spectra, representing the metabolic heterogeneity within tumour areas, were grouped by K-means clustering algorithm. Simpson’s diversity index was applied to compare the metabolic heterogeneity level of individual patients.ResultsClustering analysis revealed metabolic heterogeneity in HER2-positive gastric cancer patients and uncovered nine tumour subpopulations. High metabolic heterogeneity was shown as a factor indicating sensitivity to trastuzumab (p = 0.008) and favourable prognosis at trend level. Two of the nine tumour subpopulations associated with favourable prognosis and trastuzumab sensitivity, and one subpopulation associated with poor prognosis and trastuzumab resistance.ConclusionsThis work revealed that tumour metabolic heterogeneity associated with prognosis and trastuzumab response based on tissue metabolomics of HER2-positive gastric cancer. Tumour metabolic subpopulations may provide an association with trastuzumab therapy efficacy.Clinical trial registrationThe patient cohort was conducted from a multicentre observational study (VARIANZ;NCT02305043).

Tyrosine phosphorylation-mediated YAP1-TFAP2A interactions coordinate transcription and trastuzumab resistance in HER2+ breast cancer

Trastuzumab resistance in HER2+ breast cancer (BC) is the major reason leading to poor prognosis of BC patients. Oncogenic gene overexpression or aberrant activation of tyrosine kinase SRC is identified to be the key modulator of trastuzumab response. However, the detailed regulatory mechanisms underlying SRC activation-associated trastuzumab resistance remain poorly understood. In the present study, we discover that SRC-mediated YAP1 tyrosine phosphorylation facilitates its interaction with transcription factor AP-2 alpha (activating enhancer binding protein 2 alpha, TFAP2A), which in turn promotes YAP1/TEAD-TFAP2A (YTT) complex-associated transcriptional outputs, thereby conferring trastuzumab resistance in HER2+ BC. Inhibition of SRC kinase activity or disruption of YTT complex sensitizes cells to trastuzumab treatment in vitro and in vivo. Additionally, we also identify YTT complex co-occupies the regulatory regions of a series of genes related to trastuzumab resistance and directly regulates their transcriptions, including EGFR, HER2, H19 and CTGF. Moreover, YTT-mediated transcriptional regulation is coordinated by SRC kinase activity. Taken together, our study reveals that SRC-mediated YTT complex formation and transcriptions are responsible for multiple mechanisms associated with trastuzumab resistance. Therefore, targeting HER2 signaling in combination with the inhibition of YTT-associated transcriptional outputs could serve as the treatment strategy to overcome trastuzumab resistance caused by SRC activation.

Molecular and serological biomarkers to predict trastuzumab responsiveness in HER-2 positive breast cancer.

HER-2-positive breast cancer is characterized by its aggressive nature, poor prognosis, and reduced overall survival. The emergence of trastuzumab resistance is currently considered a global problem. The immune system plays a pivotal role in tumor progression and development. Cytotoxic T lymphocyte-associated protein-4 (CTLA-4) and other immune checkpoint proteins may be potential prognostic factors and therapeutic targets for breast cancer. This study aimed to determine the correlation between CTLA-4 expression in peripheral blood and insulin-like growth factor-1 (IGF-1) serum levels and their impact on trastuzumab responsiveness in HER-2-positive patients with breast cancer. CTLA-4 expression was analyzed in peripheral blood cells using quantitative PCR, while IGF-1 serum levels were assessed through electrochemiluminescence assays. There was a significant increase in CTLA-4 expression at cycle 9, which continued to increase until it reached 4.6 at cycle 17. High IGF-1 levels were observed in newly diagnosed HER-2 positive patients before trastuzumab therapy, significantly decreasing post-therapy (p=0.001). Co-targeting HER-2 and IGF-1 receptors may reduce the risk of recurrence and improve outcomes. In addition, targeted CTLA-4 molecules may improve patient survival and prevent recurrence.

Potential Biomarkers Associated with Prognosis and Trastuzumab Response in HER2+ Breast Cancer.

Breast cancer (BC) is the most common malignancy among women worldwide. Around 15-25% of BC overexpress the human epidermal growth factor receptor 2 (HER2), which is associated with a worse prognosis and shortened disease-free survival. Therefore, anti-HER2 therapies have been developed, such as monoclonal antibodies (trastuzumab, Tz), antibody-drug conjugates (ado-trastuzumab emtansine, T-DM1), and pharmacological inhibitors of tyrosine kinase activity (lapatinib, Lp). Although Tz, the standard treatment, has significantly improved the prognosis of patients, resistance still affects a significant population of women and is currently a major challenge in clinical oncology. Therefore, this study aims to identify potential biomarkers to predict disease progression (prognostic markers) and the efficacy of Tz treatment (predictive markers) in patients with HER2+ BC. We hypothesize that proteins involved in cell motility are implicated in Tz-resistance. We aim to identify alterations in Tz-resistant cells to guide more efficient oncologic decisions. By bioinformatics, we selected candidate proteins and determined how their expression, localization, and the process they modulate were affected by anti-HER2 treatments. Next, using HER2+ BC patients' data, we assessed these proteins as prognostic and predictive biomarkers. Finally, using Tz-resistant cells, we evaluated their roles in Tz response. We identified deregulated genes associated with cell motility in Tz/T-DM1-resistant vs. -sensitive cells. We showed that Tz, T-DM1, and Lp decrease cell viability, and their effect is enhanced in combinations. We determined synergism between Tz/T-DM1 and Lp, making possible a dose reduction of each drug to achieve the same therapeutic effect. We found that combinations (Tz/T-DM1 + Lp) efficiently inhibit cell adhesion and migration. Furthermore, we demonstrated the induction of FAK nuclear and cortactin peri-nuclear localization after T-DM1, Lp, and Tz/T-DM1 + Lp treatments. In parallel, we observed that combined treatments downregulate proteins essential for metastatic dissemination, such as SRC, FAK, and paxillin. We found that low vinculin (VCL) and cortactin (CTTN) mRNA expression predicts favorable survival rates and has diagnostic value to discriminate between Tz-sensible and Tz-resistant HER2+ BC patients. Finally, we confirmed that vinculin and cortactin are overexpressed in Tz-resistance cells, SKBR3-RTz. Moreover, we found that Tz plus FAK/paxillin/cortactin-silencing reduced cell adhesion/migration capacity in Tz-sensitive and -resistant cells. In conclusion, we demonstrate that combined therapies are encouraging since low doses of Tz/T-DM1 + Lp inhibit metastatic processes by downregulating critical protein expression and affecting its subcellular localization. We propose that vinculin and cortactin might contribute to Tz-sensibility/resistance in BC cells. Finally, we identify potential prognostic and predictive biomarkers that are promising for personalized BC management that would allow efficient patient selection in order to mitigate resistance and maximize the safety and efficacy of anti-HER2 therapies.

The association of centromere amplification and response to trastuzumab in HER2+ metastatic breast cancer.

1016 Background: Chromosomal instability and copy number aberration (CNA) burden can be associated with patients' survival in some cancers. Centromeres, chromosomal regions crucial for genomic stability, can be found altered by CNA in tumours but remain largely unexplored due to sequencing technologies. Using whole-genome sequencing (WGS) data from cases of long term, never relapsed HER2+ metastatic breast cancer (MBC) patients, also referred as exceptional responders (ExRs), we aim to better characterise the CNA profiles and underlying long-term survival of this “exceptional” cohort and investigate the centromeric and pericentromeric association with prognosis and treatment response. Methods: Two hundred and forty-three HER2+ MBC patients were enrolled in the HER2 Patients Project Database from St Vincent University Hospital, Dublin, Ireland. Eighty-five HER2+ MBC patients were identified as exceptional survivors (ExS) with an OS > 60 months (range 60-248 months), of which 28 never-relapsed and responded exceptionally (ExR) to trastuzumab. Patients with an OS < 60 months (N=158, range 0.2-59 months) were identified as non responders (NR). WGS was performed on 13 ExR tumours (primary or metastases) and matching control at a mean depth of 60X and 30X, respectively. Control-FREEC and CNVkit were used to characterise the CNA profiles and estimate the CNA burden. Samples from 10 NR patients were used for comparison with the ExR. Results: WGS analysis revealed that ExR samples are more impacted by gain rather than loss of copy overall, with a median fraction altered by gain of 0.24. No significant difference was observed between the ExR and NR in terms of CNA burden. However, a large fragment on chromosome 9 was amplified in 92% of ExR (12/13) which corresponded to the centromere (chr9q11) and a large heterochromatic block (chr9q12). A higher copy number status of this centromeric region was detected in the ExR, with a gain of at least 1 additional copy compared to the NR tumoral samples (P<0.001). The dichotomisation into high versus low copy number of the centromeric region of chromosome 9 was also observed in centromeres of chromosome 17 (P=0.009) and chromosome 19 (P<0.001). No case of polysomy was detected in our cohort and genes located near the centromeres, such as ERBB2 (amplified in both ExR and NR), were independent of the centromeres copy-number status. Conclusions: The identification of the genomic aberrations of these metastatic patients, treated with trastuzumab who never relapsed, increases our understanding of the mechanisms involved in MBC progression. Our results suggest that the centromere co-amplification of chr9q11-q12, chr17p11.1-q11.1 and chr19p11-q11 stratifies patients according to their OS. CNA status of the centromeric regions of chromosomes 9, 17 and 19 may therefore represent a novel prognostic predictor to trastuzumab response and new outcomes for patients.

MiR-146a-5p Promotes Angiogenesis and Confers Trastuzumab Resistance in HER2+ Breast Cancer

Trastuzumab treatment has significantly improved the prognosis of HER2-positive breast cancer patients. Despite this, resistance to therapy still remains the main clinical challenge. In order to evaluate the implication of microRNAs in the trastuzumab response, we performed a microRNA array in parental and acquired trastuzumab-resistant HER2-positive breast cancer cell lines. Our results identified miR-146a-5p as the main dysregulated microRNA. Interestingly, high miR-146a-5p expression in primary tumor tissue significantly correlated with shorter disease-free survival in HER2-positive breast cancer patients. The gain- and loss-of-function of miR-146a-5p modulated the response to trastuzumab. Furthermore, the overexpression of miR-146a-5p increased migration and angiogenesis, and promoted cell cycle progression by reducing CDKN1A expression. Exosomes from trastuzumab-resistant cells showed a high level of miR-146a-5p expression compared with the parental cells. In addition, the co-culture with resistant cells' exosomes was able to decrease in sensitivity and increase the migration capacities in trastuzumab-sensitive cells, as well as angiogenesis in HUVEC-2 cells. Collectively, these data support the role of miR-146a-5p in resistance to trastuzumab, and demonstrate that it can be transferred by exosomes conferring resistance properties to other cells.

Abstract P5-02-10: In-silico approaches that detect immune contexture to trastuzumab response in neo-adjuvant studies

Abstract Introduction: Computational approaches have aided in estimating cellular composition of the tumour microenvironment. The evaluation of immune composition in tumours before treatment may predict pathologic complete response (pCR). The aim of the study was to perform a meta-analysis of HER2-positive breast cancer subjects who received neoadjuvant trastuzumab to detect associations between immune cells measured by CIBERSORT and ESTIMATE and pCR. Methods: PubMed was used to identify transcriptomic data of HER2-positive breast cancer patients who received neoadjuvant trastuzumab. Baseline data from eight neoadjuvant studies (N=338) was downloaded from GEO. Data from each study was background corrected and quantile normalised using ‘limma’ or ‘oligo’ packages in R. Immune profiles per sample was generated using computational softwares CIBERSORT and ESTIMATE, and were then linked to pCR status. Correlations between immune contexture and pCR for each study were interpreted using statistical testing. Meta-analysis by a logistic regression model was conducted on studies which passed assumptions to identify CIBERSORT immune subsets robust to pCR. Results: CIBERSORT results showed that three studies had reduced T follicular helper cells (Tfh) (Brodsky p=0.38, CHER-LOB p=0.17, TransNOAH p=0.25) and two studies had reduced plasma cells (CHER-LOB p=0.15, Brodsky p=0.38) in the pCR group, but was not significant after multiple correction. ESTIMATE analysis showed that data from two studies had elevated immune infiltration in pCR (Brodsky p=0.19, CHER-LOB p=0.10) but was not significant. A meta-analysis of pooled data from four studies (TRIO-US B07, 03-311, TransNOAH, CHER-LOB) showed that low Tfh (p=0.053, OR=0.04, CI [0.0012-0.99]) and high memory B-cells (p=0.008, OR=2126.9, CI [8.12-7.65 × 10+5]) prior to trastuzumab treatment may be associated with a better chance of achieving pCR. Conclusion: Results from our meta-analysis proposed that memory B- and T follicular helper subsets may predict a role in achieving pCR. Incorporating studies with larger sample cohorts such as the CALGB-40601 (N=265) study can achieve statistical power of this analysis. Citation Format: Dalal AlSultan, Alex J. Eustace, Stephen F. Madden, John Crown. In-silico approaches that detect immune contexture to trastuzumab response in neo-adjuvant studies [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P5-02-10.

Abstract P5-02-24: Whole genome sequencing of long-term, never relapse exceptional responders HER2+ advanced metastatic breast cancer

Abstract Background: Anti-HER2 therapies such as trastuzumab used for the treatment of patients with HER2+ metastatic breast cancer (MBC) have led to significant improvements to disease progression. We previously identified cases from the “Thousand Patient HER2 database” project at Saint Vincent’s University Hospital (SVUH) Dublin, of HER2+ MBC long-term durable complete responders to trastuzumab, and reported that Copy Number Aberration (CNA) burden may represent a novel prognostic predictor to trastuzumab response from the exome analysis of in HER2+ MBC “exceptional responders’’ (ExRs). However, whole-genome sequencing (WGS) allows a better understanding of how CNA affects the MBC genome and to-date, the complete genome of this “exceptional” cohort has never been described. Methods: We performed WGS analysis to characterise the CNA profiles of 9 ExRs from our HER2+ MBC cohort treated with trastuzumab. Samples were obtained from patients who never progressed/relapsed for more than 5 years (OS > 60 months). DNA was sequenced from tumours (primary or metastases) and matching control (blood or normal tissue) at a mean depth of 60X and 30X, respectively (18 samples). Somatic single nucleotide variants (SNV) were detected using GATK4 Mutect2 and CNA were identified using Control-FREEC. Results: Eighty-five HER2+ MBC were identified with OS > 60 months, of which 28 were ExRs with bone, lung, liver and lymph metastasis who responded exceptionally to trastuzumab, with a mean OS of 108 months (range 61-236 months). This cohort includes patients who were diagnosed between 31 and 80 years old (median=51). WGS analysis revealed CNA in chr6p21 with amplification of CCND3 and in chr17q12 with amplification of RAD51D. SNV were identified in genes involved in the DNA damage repair (DDR) pathway such as ATM, BRCA2, RAD50 and FANCA. On-going analysis will allow the CNA profiles of all ExRs to be presented and their CNA burden calculated in order to investigate the relationship between whole genome CNA burden and HER2+ MBC patient survival. Conclusion: To our knowledge, this is the first study to sequence the whole genome of HER2+ MBC, never relapse exceptional responders. The identification of the genomic aberrations of these metastatic patients increases our understanding of the mechanisms involved in MBC progression. CNA burden may represent a novel prognostic predictor to trastuzumab response and new outcomes for patients, particularly as MBC is generally termed incurable. Citation Format: Charlotte Andrieu, Laura P. Ivers, Jose Javier Berenguer Pina, Darko Skrobo, Jo Ballot, Alex J. Eustace, Cecily Quinn, Giuseppe Gullo, Naomi Walsh, John P. Crown. Whole genome sequencing of long-term, never relapse exceptional responders HER2+ advanced metastatic breast cancer [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P5-02-24.

Identification of Genes Predicting Poor Response of Trastuzumab in Human Epidermal Growth Factor Receptor 2 Positive Breast Cancer.

Objective To identify trastuzumab-resistant genes predicting drug response and poor prognosis in human epidermal growth factor receptor 2 positive (HER2+) breast cancer. Methods Gene expression profiles from the GEO (Gene Expression Omnibus) database were obtained and analyzed. Differentially expressed genes (DEGs) between the pathological complete response (pCR) group and non-pCR group in a trastuzumab neoadjuvant therapy cohort and DEGs between Herceptin-resistant and wild-type cell lines were detected and evaluated. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analyses were performed to select the functional hub genes. The hub genes' prognostic power was validated by another trastuzumab adjuvant treatment cohort. Results Fifty upregulated overlapping DEGs were identified by analyzing two trastuzumab resistance-related GEO databases. Functional analysis picked out ten hub genes enriched in mitochondrial function and metabolism pathways: ASCL1, CPT2, DLD, ELVOL7, GAMT, NQO1, SLC23A1, SPR, UQCRB, and UQCRQ. These hub genes could distinguish patients with trastuzumab resistance from the sensitive ones. Further survival analysis of hub genes showed that DLD overexpression was significantly associated with an unfavorable prognosis in HER2+ breast cancer patients. Conclusion Ten novel trastuzumab resistance-related genes were discovered, of which DLD could be used for trastuzumab response prediction and prognostic prediction in HER2+ breast cancer.

Prognostic significance of crown-like structures to trastuzumab response in patients with primary invasive HER2 + breast carcinoma

Obesity can initiate, promote, and maintain systemic inflammation via metabolic reprogramming of macrophages that encircle adipocytes, termed crown-like structures (CLS). In breast cancer the presence of CLS has been correlated to high body mass index (BMI), larger mammary adipocyte size and postmenopausal status. However, the prognostic significance of CLS in HER2 + breast cancer is still unknown. We investigated the prognostic significance of CLS in a cohort of 69 trastuzumab-naïve and 117 adjuvant trastuzumab-treated patients with primary HER2 + breast cancer. Immunohistochemistry of tumour blocks was performed for CLS and correlated to clinical outcomes. CLS were more commonly found at the adipose-tumour border (B-CLS) (64.8% of patients). The presence of multiple B-CLS was associated with reduced time to metastatic disease (TMD) in trastuzumab treated patients with BMI ≥ 25 kg/m2 but not those with BMI < 25 kg/m2. Phenotypic analysis showed the presence of CD32B + B-CLS was strongly correlated to BMI ≥ 25 kg/m2 and reduced TMD in trastuzumab treated patients. Multivariable analysis suggested that CD32B + B-CLS positive tumours are associated with shorter TMD in trastuzumab-treated patients (HR 4.2 [95%CI, (1.01–17.4). This study indicates adipose-tumour border crown-like structures that are CD32B + potentially represent a biomarker for improved personalisation of treatment in HER2-overexpressed breast cancer patients.

Targeting HER2-AXL heterodimerization to overcome resistance to HER2 blockade in breast cancer.

Anti-HER2 therapies have markedly improved prognosis of HER2-positive breast cancer. However, different mechanisms play a role in treatment resistance. Here, we identified AXL overexpression as an essential mechanism of trastuzumab resistance. AXL orchestrates epithelial-to-mesenchymal transition and heterodimerizes with HER2, leading to activation of PI3K/AKT and MAPK pathways in a ligand-independent manner. Genetic depletion and pharmacological inhibition of AXL restored trastuzumab response in vitro and in vivo. AXL inhibitor plus trastuzumab achieved complete regression in trastuzumab-resistant patient-derived xenograft models. Moreover, AXL expression in HER2-positive primary tumors was able to predict prognosis. Data from the PAMELA trial showed a change in AXL expression during neoadjuvant dual HER2 blockade, supporting its role in resistance. Therefore, our study highlights the importance of targeting AXL in combination with anti-HER2 drugs across HER2-amplified breast cancer patients with high AXL expression. Furthermore, it unveils the potential value of AXL as a druggable prognostic biomarker in HER2-positive breast cancer.

CircCDYL2 promotes trastuzumab resistance via sustaining HER2 downstream signaling in breast cancer

BackgroundApproximate 25% HER2-positive (HER2+) breast cancer (BC) patients treated with trastuzumab recurred rapidly. However, the mechanisms underlying trastuzumab resistance remained largely unclear.MethodsTrastuzumab-resistant associated circRNAs were identified by circRNAs high-throughput screen and qRT-PCR in HER2+ breast cancer tissues with different trastuzumab response. The biological roles of trastuzumab-resistant associated circRNAs were detected by cell vitality assay, colony formation assay, Edu assay, patient-derived xenograft (PDX) models and orthotopic animal models. For mechanisms research, the co-immunoprecipitation, Western blot, immunofluorescence, and pull down assays confirmed the relevant mechanisms of circRNA and binding proteins.ResultsWe identified a circRNA circCDYL2, which was overexpressed in trastuzumab-resistant patients, which conferred trastuzumab resistance in breast cancer cells in vitro and in vivo. Mechanically, circCDYL2 stabilized GRB7 by preventing its ubiquitination degradation and enhanced its interaction with FAK, which thus sustained the activities of downstream AKT and ERK1/2. Trastuzumab-resistance of HER2+ BC cells with high circCDYL2 could be reversed by FAK or GRB7 inhibitor. Clinically, HER2+ BC patients with high levels of circCDYL2 developed rapid recurrence and had shorter disease-free survival (DFS) and overall survival (OS) following anti-HER2 therapy compared to those with low circCDYL2.ConclusionscircCDYL2-GRB7-FAK complex plays a critical role in maintaining HER2 signaling, which contributes to trastuzumab resistance and circCDYL2 is a potential biomarker for trastuzumab-resistance in HER2+ BC patients.

Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer

The current standard of care for many patients with HER2-positive breast cancer is neoadjuvant chemotherapy in combination with anti-HER2 agents, based on HER2 amplification as detected by in situ hybridization (ISH) or protein immunohistochemistry (IHC). However, hematoxylin & eosin (H&E) tumor stains are more commonly available, and accurate prediction of HER2 status and anti-HER2 treatment response from H&E would reduce costs and increase the speed of treatment selection. Computational algorithms for H&E have been effective in predicting a variety of cancer features and clinical outcomes, including moderate success in predicting HER2 status. In this work, we present a novel convolutional neural network (CNN) approach able to predict HER2 status with increased accuracy over prior methods. We trained a CNN classifier on 188 H&E whole slide images (WSIs) manually annotated for tumor Regions of interest (ROIs) by our pathology team. Our classifier achieved an area under the curve (AUC) of 0.90 in cross-validation of slide-level HER2 status and 0.81 on an independent TCGA test set. Within slides, we observed strong agreement between pathologist annotated ROIs and blinded computational predictions of tumor regions / HER2 status. Moreover, we trained our classifier on pre-treatment samples from 187 HER2+ patients that subsequently received trastuzumab therapy. Our classifier achieved an AUC of 0.80 in a five-fold cross validation. Our work provides an H&E-based algorithm that can predict HER2 status and trastuzumab response in breast cancer at an accuracy that may benefit clinical evaluations.

Metabolic Heterogeneity Affects Trastuzumab Response and Survival in HER2-Positive Advanced Gastric Cancer

Metabolic Heterogeneity Affects Trastuzumab Response and Survival in HER2-Positive Advanced Gastric Cancer

Modelling hypersensitivity to trastuzumab defines biomarkers of response in HER2 positive breast cancer

BackgroundTrastuzumab-based therapies are the therapeutic option for HER2 positive (HER2+) breast cancer. HER2 amplification is the only biomarker validated for trastuzumab-based therapies. However, a proportion of tumors become refractory during treatment course. For this reason, the finding of new biomarkers beyond HER2 overexpression to identify patients who would benefit most from trastuzumab regimens is of outstanding importance.MethodsModels of trastuzumab-resistant or hypersensitive cells were generated by exposure to trastuzumab. Cell surface, total HER2, and analyses of proteins involved in cell cycle or apoptosis were analyzed by western blotting. Cell proliferation was analyzed by cell counting, cell cycle and apoptosis was evaluated by FACS. Transcriptomic characterization of the cellular models was performed using bioinformatic online tools, and clinico-genomic analyses were performed using the PAMELA clinical trial data.ResultsBesides differing in sensitivities to trastuzumab, the different cellular models also showed distinct response to other anti-HER2 drugs (lapatinib, neratinib, pertuzumab and T-DM1) used in the clinic. That differential effect was not due to changes in cell surface, total or activated HER2. Trastuzumab caused important induction of cell death in hypersensitive cells but not in parental or resistant cells. Transcriptomic analyses of these cellular models together with querying of online databases allowed the identification of individual genes and gene signatures that predicted prognosis and trastuzumab response in HER2+ breast cancer patients.ConclusionThe identification of trastuzumab response biomarkers may be used to select patients particularly sensitive to facilitate the use of trastuzumab-based therapies and refine follow-up guidelines in patients with HER2+ tumors.

Abstract 1401: MYC mediates retinoic acid resistance by suppressing cellular retinoic acid-binding protein (CRABP2) transcription in HER2-enriched breast cancers

Abstract Introduction: HER2-positive (HER2+) breast cancers express high levels of the growth-promoting HER2 protein. The development of a targeted drug, trastuzumab, has greatly improved clinical outcome for HER2+ patients. However, intrinsic and acquired resistance to trastuzumab are common. Clearly, additional therapeutic interventions are required for the clinical management of HER2-enriched breast cancers. Retinoic acid (RA) is a vital signaling molecule that regulates multiple biological processes, including cell proliferation, differentiation, and death. RA has been successfully used in the treatment of acute promyelocytic leukemia. RA also holds promise for the treatment of solid cancers like breast cancer. RA action is mediated through transcription factor RARα and the RA binding protein CRABP2, which deliver RA to RARα in the nucleus. The HER2 gene (ERBB2) is frequently co-amplified with the gene encoding RARα, a key determinant of RA sensitivity. It seems surprising, therefore, that HER2+ breast cancers are refractory to RA treatment. MYC is an oncogene that inhibits RARα activity in leukemia cells. Importantly, MYC is preferentially amplified and overexpressed in HER2+ breast cancers. My research aims to elucidate the mechanism underlying RA resistance in HER2+ breast cancers, with a special focus on the role of MYC. Hypothesis: MYC attenuates RA action by inhibiting the CRABP2-RARα pathway. Results: RNA levels of MYC are negatively correlated with CRABP2 RNA levels. Depletion of MYC upregulates CRABP2 at both the RNA and protein levels. Furthermore, we found that MYC binds to the CRABP2 promoter region suggesting that MYC may directly suppress CRABP2 gene transcription activity. Our results show that ectopic expression of MYC inhibits, whereas depletion of MYC activates RAR activity. Consistently, ectopic expression of MYC increases RA resistance, whereas depletion of MYC sensitizes cells to RA treatment. When CRABP2 is depleted along with MYC-knockdown, cell proliferation is rescued, suggesting that MYC mediates RA resistance, at least partially through downregulation of CRABP2. We also found that RA treatment enhances trastuzumab responsiveness in HER2+ breast cancer cells. Significance: This study sheds light on the role and mechanism of MYC in governing RA resistance in HER2+ breast cancer cells. Our results support the use of RA and trastuzumab for the treatment of subsets of patients with HER2+/low MYC breast cancers. Citation Format: Won-Shik Choi, Rong-Zong Liu, Roseline Godbout. MYC mediates retinoic acid resistance by suppressing cellular retinoic acid-binding protein (CRABP2) transcription in HER2-enriched breast cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 1401.

Clinical significance of crown-like structures to trastuzumab response in patients with primary invasive HER2+ breast cancer.

e12533 Background: Obesity is associated with breast cancer development and worse survival. Obesity can initiate, promote, and maintain systemic inflammation via metabolic reprogramming of macrophages that encircle adipocytes, termed crown-like structures (CLS). In breast cancer patients, CLS are present in 36-50% of patients and have been associated with anthropometric parameters. Here we focus on HER2+ breast cancer. The role of adiposity in HER2+ breast cancer is conflicting which may be attributed to the tumour heterogeneity. Adiposity has also been shown to affect the local immune environment of solid tumours. However, the prognostic significance of CLS in HER2+ breast cancer is still unknown. Methods: We investigated the prognostic significance of CLS in a cohort of 219 patients with primary HER2+ breast cancer who were diagnosed between 1982 to 2012 in Southampton General Hospital. This cohort includes 76 HER2+ trastuzumab naïve patients and 143 HER2+ patients treated with adjuvant trastuzumab. We stained FFPE tumour samples for the expression of CD68, CD16 and CD32B on CLS and correlated these to clinical outcomes. CLS were defined as CLS within distant adipose tissue, CLS within the adipose-tumour border (B-CLS) and intratumoural CLS. CLS were quantified manually in full face sections by two independent scorers and descriptive and Cox regression analysis was carried out. Results: A total of 201 tumours were suitable for CLS analyses. The median follow-up was 34.74 months (range, 0.43-299.08). In the trastuzumab naive cohort, B-CLS≤1 and B-CLS &gt; 1 were present in 37 (52.11%) and 34 (47.89%), respectively. In the trastuzumab treated cohort, B-CLS≤1 were identified in 69 (53.08%) and B-CLS &gt; 1 were found in 61 (46.92%) of the tumours. CLS were more commonly found in the adipose-tumour border (60.89%) rather than in the distant adipose tissue (36.14%) or intratumorally (14.36%). The presence of any CLS was significantly associated with BMI≥25 kg/m2 (p = 0.018). There was strong evidence of association between CD68+CD32B+ B-CLS and BMI≥25 kg/m2 (p = 0.007). Co-expression of CD16 and CD32B by B-CLS was more frequent in patients with BMI≥25 kg/m2 (p = 0.036). Survival analysis showed shorter time to metastatic disease in patients with CD68+ B-CLS &gt; 1 (p = 0.011) in the trastuzumab treated cohort. Subgroup analysis revealed that in the BMI≥25 kg/m2 group, patients with CD68+ B-CLS &gt; 1 had shorter time to metastatic disease compared to patients with B-CLS≤1 (p = 0.004). Multivariate cox regression showed that B-CLS &gt; 1 is an independent prognostic factor for shorter time to metastatic disease in patients with primary HER2+ breast cancer that received adjuvant trastuzumab (HR 6.81, 95%CI (1.38-33.54), p = 0.018). Conclusions: B-CLS can be potentially used as a predictive biomarker to optimize the stratification and personalisation of treatment in HER2-overexpressed breast cancer patients.

PTEN is a predictive biomarker of trastuzumab resistance and prognostic factor in HER2-overexpressing gastroesophageal adenocarcinoma

Poor trastuzumab (Tmab) response of patients with human epidermal growth factor receptor 2-overexpressing gastric or gastroesophageal junction adenocarcinoma (HER2-GEA) is associated with the inhibition of phosphatase and tensin homolog (PTEN) expression. In this multicenter, retrospective observational study, pathological samples of patients with HER2-GEA receiving Tmab-combined chemotherapy were immunohistochemically analyzed for PTEN expression. The primary endpoints were disease control rate (DCR), progression-free survival (PFS), and overall survival (OS). We assessed the effect of conventional chemotherapy and Tmab alone or combined with PI3K pathway inhibitors in vitro in HER2-GEA cells with or without PTEN expression. Twenty-nine and 116 patients were in the PTEN-loss and PTEN-positive groups, respectively. In patients with the target region, DCR was significantly lower in PTEN-loss patients than in PTEN-positive patients (67% and 87%, respectively, p = 0.049). The multivariate analysis demonstrated that PTEN loss was significantly associated with shorter PFS (HR = 1.63, p = 0.035) and OS (HR = 1.83, p = 0.022). PTEN knockdown did not affect the cytostatic effect of 5-FU and cisplatin, whereas Tmab combined with the PI3K/mTOR inhibitor NPV-BEZ235 suppressed PTEN-knockdown cell proliferation. In patients with HER2-GEA, PTEN loss is a predictive biomarker of Tmab resistance and prognostic factor. Molecular-targeted therapy with a PI3K/mTOR inhibitor would be effective for HER2-GEA with PTEN loss.