Palbociclib augments Neratinib killing of tumor cells that is further enhanced by HDAC inhibition

Gene expression analysis in circulating tumour cells to determine resistance to CDK4/6 inhibitors plus endocrine therapy in HR + /HER2- metastatic breast cancer patients

BACKGROUND

Metastatic breast cancer (BC) is the main cause of cancer-related mortality in women worldwide. HR + /HER2- BC patients are treated with endocrine therapy (ET), but therapeutic resistance is common. The combination of cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) with ET was approved for metastatic BC patients and extended the median progression-free survival to 24 months. This therapy is not always effective, and in every patient, resistance ultimately occurs, but the underlying resistance mechanisms remain unclear. To address this gap, we explored circulating tumour cells (CTCs) as biomarkers to assess treatment response and resistance in metastatic HR + /HER2- BC patients receiving CDK4/6i plus ET.

METHODS

In total, 53 HR + /HER2- metastatic BC patients who received a CDK4/6i plus ET as first-line treatment were analysed, including samples from internal and external validation cohorts. CTCs were isolated using the negative enrichment approach RosetteSep (STEMCELL Technologies) or positive immunomagnetic selection targeting EpCAM, EGFR, and HER2 (AdnaTest EMT-2/StemCell Select™, QIAGEN). RNA was extracted from CTCs and PBMCs for nCounter analysis (Pancancer pathways panel) in a discovery phase. Subsequent validation was performed by RT-qPCR.

RESULTS

CTC gene expression analysis revealed that non responder patients (those who experienced disease progression before 180 days) exhibited elevated PRKCB (p-value: 0.011), MAPK3 (p-value: 0.006) and STAT3 (p-value: 0.008) expression, while responders showed increased CDK6 (p-value: 0.011) and CCND1 (p-value: 0.035) expression at baseline. CTC transcriptional characterization revealed a gene expression signature (STAT3highPRKCBhighCDK6low) that accurately classified HR + /HER2- metastatic BC patients who responded to CDK4/6i plus ET, regardless of the CTC isolation method (AUC > 0.8). CTC characterization at progression also identified biomarkers linked to therapy resistance, including the epigenetic regulators EZH2 and HDAC6 and the cell cycle regulator CDC7, which could guide the selection of subsequent therapy lines. The expression of the CDK4 and STAT3 genes in CTCs was associated with progression-free survival and overall survival, respectively. Likewise, the presence of ≥ one CTC after one cycle of therapy predicts a worse prognosis.

CONCLUSIONS

CTC gene expression provides information about treatment outcomes in HR + /HER2- metastatic BC patients receiving CDK4/6i plus ET and could guide personalized strategies and improve prognosis.

Neratinib derivative 7A induces apoptosis in colon cancer cells via the p53 pathway

Colorectal cancer remains a significant health threat, with its incidence continuously rising, underscoring the urgent need for the development of new therapeutic agents. In our previous research, we identified 7A, a derivative of Neratinib, as having pronounced antitumor activity. However, its specific effects and mechanisms in colorectal cancer have not been thoroughly investigated. Therefore, this study employed in vivo and in vitro experiments, utilizing techniques such as RNA sequencing, Western blotting, and PCR, to provide a comprehensive analysis of 7A's mechanism of action in colorectal cancer. The results indicate that 7A induces DNA damage and activates the P53 pathway, thereby promoting apoptosis in colorectal cancer cells. Additionally, 7A treatment significantly reduced angiogenesis and tumor weight. Our findings suggest that 7A, a Neratinib derivative, holds promise as a novel candidate for colorectal cancer therapy.

Bipolar Disorder Treatments and Ovarian Cancer: A Systematic Review

OBJECTIVE

We reviewed literature on drugs for bipolar disorders (BD), utilized in ovarian cancer (OC).

METHOD

We adhered to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) guidelines in completion of this systematic review.

RESULTS

We identified 73 papers. Thirty-two studies were finally included. BD is rarely diagnosed in OC patients. Limited finding from case reports is available. Drugs used to treat BD (mainly lithium and valproic acid) have been extensively studied in add-on to chemotherapy for treatment-resistant OC cells or in animal models, with promising results in vitro but not in vivo.

CONCLUSIONS

The clinical underestimation of BD in OC has leaded to the almost complete absence of evidences for a soundly based clinical guidance in this field. There is a urgent need for a systematic multi-disciplinary approach to OC.

Selective CDK4/6 Inhibitors: Biologic Outcomes, Determinants of Sensitivity, Mechanisms of Resistance, Combinatorial Approaches, and Pharmacodynamic Biomarkers

CDK4/6 inhibitors are now part of the standard armamentarium for hormone receptor-positive breast cancer. In this article, we review the biologic outcomes imposed by these drugs on cancer cells, determinants of response, mechanisms of intrinsic and acquired resistance, as well as combinatorial approaches emanating from mechanistic studies that may allow use of these agents to extend beyond breast cancer. In addition, we will address tumor-, imaging-, and blood-based pharmacodynamic biomarkers that can inform rationally designed trials as clinical development continues.

Fingolimod Augments Monomethylfumarate Killing of GBM Cells

Previously we demonstrated that the multiple sclerosis drug dimethyl fumarate (DMF) and its plasma breakdown product MMF could interact with chemotherapeutic agents to kill both GBM cells and activated microglia. The trial NCT02337426 demonstrated the safety of DMF in newly diagnosed GBM patients when combined with the standard of care Stupp protocol. We hypothesized that another multiple sclerosis drug, fingolimod (FTY720) would synergize with MMF to kill GBM cells. MMF and fingolimod interacted in a greater than additive fashion to kill PDX GBM isolates. MMF and fingolimod radiosensitized glioma cells and enhanced the lethality of temozolomide. Exposure to [MMF + fingolimod] activated an ATM-dependent toxic autophagy pathway, enhanced protective endoplasmic reticulum stress signaling, and inactivated protective PI3K, STAT, and YAP function. The drug combination reduced the expression of protective c-FLIP-s, MCL-1, BCL-XL, and in parallel caused cell-surface clustering of the death receptor CD95. Knock down of CD95 or over-expression of c-FLIP-s or BCL-XL suppressed killing. Fingolimod and MMF interacted in a greater than additive fashion to rapidly enhance reactive oxygen species production and over-expression of either thioredoxin or super-oxide dismutase two significantly reduced the drug-induced phosphorylation of ATM, autophagosome formation and [MMF + fingolimod] lethality. In contrast, the production of ROS was only marginally reduced in cells lacking ATM, CD95, or Beclin1. Collectively, our data demonstrate that the primary generation of ROS by [MMF + fingolimod] plays a key role, via the induction of toxic autophagy and death receptor signaling, in the killing of GBM cells.

GZ17-6.02 initiates DNA damage causing autophagosome-dependent HDAC degradation resulting in enhanced anti-PD1 checkpoint inhibitory antibody efficacy

Our studies examined the molecular mechanisms by which the novel cancer therapeutic GZ17-6.02 (NCT03775525) killed GI tumor cells. TZ17-6.02 activated ATM which was responsible for increased phosphorylation of nuclear γH2AX and AMPKα T172. ATM-AMPK signaling was responsible for the subsequent inactivation of mTORC1 and mTORC2, dephosphorylation of ULK1 S757, and increased phosphorylation of ULK1 S317 and of ATG13 S318, which collectively caused enhanced autophagosome formation. GZ17-6.02 interacted with 5-fluorouracil in an additive to greater than additive fashion to kill all of the tested GI tumor cell types. This was associated with greater ATM activation and a greater mammalian target of rapamycin inactivation and autophagosome induction. As a result, autophagy-dependent degradation of multiple histone deacetylase (HDAC) proteins and chaperone proteins occurred. Loss of HDAC expression was causal in reduced expression of programed death ligand 1 (PD-L1), ornithine decarboxylase, and indole amine 2,3-dioxygenase (IDO1) and in the elevated expression of major histocompatibility complex Class IA (MHCA). Treatment with GZ17-6.02 also resulted in enhanced efficacy of a subsequently administered anti-PD1 checkpoint inhibitory antibody. Thus, the primary mode of GZ17-6.02 action is to induce a DNA damage response concomitant with ATM activation, that triggers a series of interconnected molecular events that result in tumor cell death and enhanced immunogenicity.

Not the comfy chair! Cancer drugs that act against multiple active sites

Introduction: Discoveries of novel signal transduction pathways in the 1990s stimulated drug companies to develop small molecule tyrosine kinase and serine / threonine kinase inhibitors which were based on catalytic site inhibition. All kinases bind ATP and catalyze phosphate transfer and, therefore, inhibitors that block ATP binding and its metabolism would be predicted to have a known on-target specificity but were also likely to have many unknown or unrecognized targets due to similarities in all ATP binding pockets. This on-target off-target biology of kinase inhibitors, which exhibit a "signal" in the clinic, means that therapeutically valuable agents are acting through unknown biological processes to mediate their anti-tumor effects.Areas covered: This perspective discusses drug therapies whose actions cannot be explained by their actions on the original targeted kinase; it concludes with a methodology to screen for changes in cell signaling via in-cell western immunoblotting.Expert opinion: Most malignancies do not depend on survival signaling from one specific mutated proto-oncogene, especially for previously treated malignancies where multiple clonal variants of the primary tumor have evolved. Hence, the concept of a highly "personalized medicine" approach fails because it is unlikely that a specific therapy will kill all clonal variants of the tumor.

Preclinical Characteristics of the Irreversible Pan-HER Kinase Inhibitor Neratinib Compared with Lapatinib: Implications for the Treatment of HER2-Positive and HER2-Mutated Breast Cancer

An estimated 15–20% of breast cancers overexpress human epidermal growth factor receptor 2 (HER2/ERBB2/neu). Two small-molecule tyrosine kinase inhibitors (TKIs), lapatinib and neratinib, have been approved for the treatment of HER2-positive (HER2+) breast cancer. Lapatinib, a reversible epidermal growth factor receptor (EGFR/ERBB1/HER1) and HER2 TKI, is used for the treatment of advanced HER2+ breast cancer in combination with capecitabine, in combination with trastuzumab in patients with hormone receptor-negative metastatic breast cancer, and in combination with an aromatase inhibitor for the first-line treatment of HER2+ breast cancer. Neratinib, a next-generation, irreversible pan-HER TKI, is used in the US for extended adjuvant treatment of adult patients with early-stage HER2+ breast cancer following 1 year of trastuzumab. In Europe, neratinib is used in the extended adjuvant treatment of adult patients with early-stage hormone receptor-positive HER2+ breast cancer who are less than 1 year from the completion of prior adjuvant trastuzumab-based therapy. Preclinical studies have shown that these agents have distinct properties that may impact their clinical activity. This review describes the preclinical characterization of lapatinib and neratinib, with a focus on the differences between these two agents that may have implications for patient management.

Neratinib and entinostat combine to rapidly reduce the expression of K-RAS, N-RAS, Gαq and Gα11 and kill uveal melanoma cells

There is no efficacious standard of care therapy for uveal melanoma. Unlike cutaneous disease, uveal melanoma does not exhibit RAS mutations but instead contains mutations with ~90% penetrance in either Gα_q or Gα₁₁. Previously we demonstrated that neratinib caused ERBB1/2/4 and RAS internalization into autolysosomes which resulted in their proteolytic degradation. In PDX isolates of uveal melanoma, neratinib caused the internalization and degradation of Gα_q and Gα₁₁ in parallel with ERBB1 breakdown. These effects were enhanced by the HDAC inhibitor entinostat. Similar data were obtained using GFP/RFP tagged forms of K-RAS V12. Down regulation of Gα_q and Gα₁₁ expression and RAS-GFP/RFP fluorescence required Beclin1 and ATG5. The [neratinib + entinostat] combination engaged multiple pathways to mediate killing. One was from ROS-dependent activation of ATM via AMPK-ULK1-ATG13-Beclin1/ATG5. Another pathway was from CD95 via caspase 8-RIP1/RIP3. A third was from reduced expression of HSP70, HSP90, HDAC6 and phosphorylation of eIF2α. Downstream of the mitochondrion both caspase 9 and AIF played roles in tumor cell execution. Knock down of ATM/AMPK/ULK-1 prevented ATG13 phosphorylation and degradation of RAS and Gα proteins. Over-expression of activated mTOR prevented ATG13 phosphorylation and suppressed killing. Knock down of eIF2α maintained BCL-XL and MCL-1 expression. Within 6h, [neratinib + entinostat] reduced the expression of the immunology biomarkers PD-L1, ODC, IDO-1 and enhanced MHCA levels. Our data demonstrate that [neratinib + entinostat] down-regulates oncogenic RAS and the two key oncogenic drivers present in most uveal melanoma patients and causes a multifactorial form of killing via mitochondrial dysfunction and toxic autophagy. Abbreviations: ERK: extracellular regulated kinase; PI3K: phosphatidyl inositol 3 kinase; ca: constitutively active; dn: dominant negative; ER: endoplasmic reticulum; AIF: apoptosis inducing factor; AMPK: AMP-dependent protein kinase; mTOR: mammalian target of rapamycin; JAK: Janus Kinase; STAT: Signal Transducers and Activators of Transcription; MAPK: mitogen activated protein kinase; PTEN: phosphatase and tensin homologue on chromosome ten; ROS: reactive oxygen species; CMV: empty vector plasmid or virus; si: small interfering; SCR: scrambled; IP: immunoprecipitation; VEH: vehicle; HDAC: histone deacetylase.