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1.
Oncoimmunology ; 12(1): 2275846, 2023.
Article in English | MEDLINE | ID: mdl-38025838

ABSTRACT

Based upon results of the KEYNOTE-522 trial and following approval by regulatory authorities, the addition of pembrolizumab to chemotherapy is now the standard-of-care for the treatment of early triple-negative breast cancer (eTNBC) (Clinical stage II-III). Pembrolizumab is a programmed cell death protein 1 monoclonal antibody, known to cause immune-related adverse events (irAEs) in a significant subset of patients. Real-world data on incidence, type and treatment strategies of irAEs in the setting of eTNBC treatment are sparse. In this multicenterretrospective analysis, we characterized real-world incidence of irAEs and treatment outcomes such as pathological complete response (pCR) from the combination of pembrolizumab and chemotherapy as neoadjuvant treatment for eTNBC. We found a rate of irAEs of all grades of 63.9% and of 20% for irAEs of grade 3 or higher. In the overall population, a pCR rate of 57.1% was observed. The emergence of irAEs correlated significantly with pCR (72.2% versus 30.8%; p =.03). Discontinuation of neoadjuvant chemotherapy before week 12 correlated significantly with a lower pCR rate. To our knowledge, this is the first study evaluating the real-world efficacy and safety of a neoadjuvant combination of chemotherapy and pembrolizumab in eTNBC, demonstrating a significant correlation between irAEs and pCR. Early discontinuation of neoadjuvant therapy due to AEs resulted in a lower pCR rate.


Subject(s)
Triple Negative Breast Neoplasms , Humans , Triple Negative Breast Neoplasms/drug therapy , Antibodies, Monoclonal, Humanized/adverse effects , Antibodies, Monoclonal , Treatment Outcome
2.
Cancers (Basel) ; 14(3)2022 Jan 31.
Article in English | MEDLINE | ID: mdl-35159020

ABSTRACT

Targeting testosterone signaling through androgen deprivation therapy (ADT) or antiandrogen treatment is the standard of care for advanced prostate cancer (PCa). Although the large majority of patients initially respond to ADT and/or androgen receptor (AR) blockade, most patients suffering from advanced PCa will experience disease progression. We sought to investigate drivers of primary resistance against antiandrogen treatment in the TRAMP mouse model, an SV-40 t-antigen driven model exhibiting aggressive variants of prostate cancer, castration resistance, and neuroendocrine differentiation upon antihormonal treatment. We isolated primary tumor cell suspensions from adult male TRAMP mice and subjected them to organoid culture. Basal and non-basal cell populations were characterized by RNA sequencing, Western blotting, and quantitative real-time PCR. Furthermore, effects of androgen withdrawal and enzalutamide treatment were studied. Basal and luminal TRAMP cells exhibited distinct molecular signatures and gave rise to organoids with distinct phenotypes. TRAMP cells exhibited primary resistance against antiandrogen treatment. This was more pronounced in basal cell-derived TRAMP organoids when compared to luminal cell-derived organoids. Furthermore, we found MALAT1 gene fusions to be drivers of antiandrogen resistance in TRAMP mice through regulation of AR. Summarizing, TRAMP tumor cells exhibited primary resistance towards androgen inhibition enhanced through basal cell function and MALAT1 gene fusions.

3.
Transl Res ; 230: 21-33, 2021 04.
Article in English | MEDLINE | ID: mdl-33197651

ABSTRACT

Loss of hepatocellular carcinoma-related protein 1 (HCRP1) (alias VPS37A) plays a role in endocytosis of receptor tyrosine kinases as a member of the ESCRT complex and has been linked to poor patient outcome in various types of epithelial cancer. To this date, the molecular and biological mechanisms explaining how its absence would contribute to tumor progression remain unknown. Using genomic editing with CRISPR-Cas9, we generated ovarian and breast cancer cell lines with loss-of-function mutations of HCRP1. We hypothesized that pathways downstream of receptor tyrosine kinases such as epidermal growth factor receptor are affected by HCRP1 loss and looked for deregulated signaling using immunoblotting and classical cancer biology assays. In our study, we show that endogenous deletion of HCRP1 leads to elevated phosphorylation of the transcription factor Signal transducer and activator of transcription 3 (STAT3) and induces upregulation of PD-L1, an important regulator of immune checkpoint inhibition. HCRP1 loss further leads to a mesenchymal phenotype switch in cancer cells, leading to increased proliferation and migration. Concludingly, our data emphasize the role of the tumor microenvironment in tumors with low or absent HCRP1 expression and suggest HCRP1 loss as a potential marker for metastatic potential and immunogenicity of epidermal growth factor receptor-driven cancer.


Subject(s)
B7-H1 Antigen/metabolism , Endosomal Sorting Complexes Required for Transport/metabolism , ErbB Receptors/metabolism , STAT3 Transcription Factor/metabolism , B7-H1 Antigen/genetics , CRISPR-Cas Systems , Cell Line , Endosomal Sorting Complexes Required for Transport/genetics , ErbB Receptors/genetics , Gene Deletion , Humans , STAT3 Transcription Factor/genetics , Up-Regulation
4.
Oncotarget ; 9(91): 36379-36391, 2018 Nov 20.
Article in English | MEDLINE | ID: mdl-30555636

ABSTRACT

In recent years, the concept of synthetic lethality, describing a cellular state where loss of two genes leads to a non-viable phenotype while loss of one gene can be compensated, has emerged as a novel strategy for cancer therapy. Various compounds targeting synthetic lethal pathways are either under clinical investigation or are already routinely used in multiple cancer entities such as breast cancer. Most of them target the well-described synthetic lethal interplay between PARP1 and BRCA1/2. In our study, we investigated, using an in silico methodological approach, clinically utilized drug combinations for breast cancer treatment, by correlating their known molecular targets with known homologous interaction partners that cause synthetic lethality in yeast. Further, by creating a machine-learning algorithm, we were able to suggest novel synthetic lethal drug combinations of low-toxicity drugs in breast cancer and showed their negative effects on cancer cell viability in vitro. Our findings foster the understanding of evolutionarily conserved synthetic lethality in breast cancer cells and might lead to new drug combinations with favorable toxicity profile in this entity.

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