Potential Drug Resistance Mechanisms Research Articles

Abstract PO2-04-06: Investigation of the genomic evolution of HER2-positive breast cancer following progression on dual HER2-targetted therapy with Trastuzumab and Tucatinib

Abstract Background: Advanced HER2-positive breast cancer remains an incurable and highly morbid condition. One of the key challenges has been treatment of central nervous system (CNS) metastases, commonly seen in those with HER2-positive disease. Tucatinib is a recently approved treatment HER2-targetting tyrosine kinase inhibitor with proven CNS activity. There has been little analysis of potential genomic mechanisms of drug resistance. Method: We retrospectively identified patients that were treated with tucatinib, capecitabine and trastuzumab. We collated baseline clinical data and treatment history and all tumour and plasma samples available were obtained for testing. DNA was extracted from plasma samples using the QIAamp DNA Mini Kit (Qiagen) on 4ml plasma samples. Targeted next generation sequencing (NGS) of serial tumour and plasma samples was performed using a custom hybrid capture assay that covered 180 genes known to be recurrently mutated in breast cancer focusing on the known genomic landscape of metastatic disease as well as the inclusion of specific actionable targets. Survival analyses was performed using Cox regression models. Results: We identified 11 patients at our institution. Plasma samples were available for all 11 patients with a total of 107 serial samples across multiple time points, with a median of 8 (range 2-19) samples per patient. All 11 patients had baseline and End of Treatment (EOT) samples. In addition, 6/11 (54%) patients had tumour sequenced on the same NGS platform prior to commencement of therapy, with 12 individual tumour samples tested. The median PFS of our cohort was 9.6 months (4.0 - NR) with a median OS of 36.2 months (10.4-NR). 7/11 (64%) patients had CNS disease at baseline with their median PFS being 13.5 months (3.9-24.4) and median OS of 36.2months (10.4-NR). Overall, we observed an average of 18.4 (4-35) mutations per patient in tumour, 5.1 (1-15) in baseline plasma and 5.8 (2-14) in EOT plasma. The most frequent mutations seen in baseline tumour samples were ERBB2 (92%), KMT2C (67%) and NCOR1 (58%) compared with KMT2C (64%), NOTCH4 (36%) and PIK3CA (27%) in baseline plasma. Patients with a lower number of ctDNA mutations at baseline showed a trend towards improved survival (PFS 14 months vs 7.5 months). In this small cohort of patients we identified a higher than expected rates of KMT2C mutations. A KMT2C mutation was identified in 67% of samples which is higher than previously described rates of 7-15% in TCGA and METABRIC cohorts respectively. The presence of a concordant ctDNA KMT2C mutation in baseline and progression samples was a poor prognostic indicator (mPFS 7.5 months) when compared with no KMT2C mutation (mPFS 15.5 months) p =0.14 suggesting a possible mechanism of resistance to tucatinib. Conclusions: In this retrospective analysis of patients treated with Tucatinib, Trastuzumab and Capecitabine we established the genomic landscape of heavily pre-treated, advanced HER2-positive disease is complex. We observed there may be a correlation with KMT2C mutations and poorer clinical outcomes, however given the very small number of patients this data remains hypothesis generating, requiring validation with larger datasets. Citation Format: Elizabeth Blackley, Courtney van Geelen, Yi-An Ko, Stephen Wong, Miriam Yeung, Stephen Luen, Sarah-Jane Dawson, Sherene Loi. Investigation of the genomic evolution of HER2-positive breast cancer following progression on dual HER2-targetted therapy with Trastuzumab and Tucatinib [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 PO2-04-06.

Abstract PO1-24-04: Gedatolisib, a pan-PI3K/mTOR inhibitor, shows superior potency and efficacy relative to other PI3K/AKT/mTOR pathway inhibitors in breast cancer models

Abstract Background: The PI3K, AKT, and mTOR (PAM) pathway is frequently activated in breast cancer (BC). Current standard-of-care therapy options for patients with advanced BC (ABC) include PAM inhibitors (PAMi), such as everolimus and alpelisib, and hormonal therapy, such as letrozole and fulvestrant. Most PAMi selectively inhibit one or only a few PAM pathway components, which can lead to drug resistance. To minimize drug resistance, a more comprehensive inhibition of the multiple PI3K isoforms and downstream mTOR complexes may be required. We hypothesized that gedatolisib, which potently inhibits all Class I PI3K isoforms, as well as mTORC1 and mTORC2, can be more effective in BC cells than a PAMi targeting single PAM pathway components. Methods: A panel of BC cell lines with mutated or non-mutated PAM pathway genes (PIK3CA, PTEN, AKT) were evaluated for their sensitivity to gedatolisib and other PAMi (PI3K-α: alpelisib; AKT: capivasertib; mTORC1: everolimus; pan-PI3K/mTOR: gedatolisib). Cell viability, growth rate inhibition, and cell death were evaluated by luciferase- and fluorescence-based assays, both in monolayer cultures and three-dimensional (3D) cultures on reconstituted basement membrane. Flow cytometry analytical assays were conducted to assess DNA synthesis (EdU incorporation), protein synthesis (OPP incorporation), and PAM pathway activity (RPS6 and 4EBP1 phosphorylation). BC xenograft studies evaluating gedatolisib in vivo were also performed. Results: Gedatolisib strongly inhibited PAM pathway activity and reduced cell viability and growth rate in the cell lines tested. Compared to the other PAMi, gedatolisib exhibited more potent and efficacious anti-proliferative and cytotoxic effects, regardless of the cell lines’ PI3K pathway mutational status. Gedatolisib effects were confirmed in 3D culture on reconstituted basement membrane, where gedatolisib inhibited tumor cell spheroid growth and induced regression. Mechanistically, gedatolisib decreased both DNA and protein synthesis more effectively than the other PAMi tested. Gedatolisib also exerted superior anti-proliferative and cytotoxic effects relative to the other PAMi tested in estrogen receptor-positive BC cell lines concomitantly treated with fulvestrant. BC xenografts confirmed growth inhibitory effects of gedatolisib in vivo. Conclusions: The pan-PI3K/mTOR inhibitor, gedatolisib, may more effectively address potential drug resistance mechanisms associated with narrowly targeted PAM inhibitors. Gedatolisib has previously demonstrated promising preliminary clinical efficacy and safety data in ABC in combination with hormonal therapy. A Phase 3 study (VIKTORIA-1) evaluating gedatolisib plus fulvestrant with and without palbociclib is underway in patients with ABC. Citation Format: Stefano Rossetti, Aaron Broege, Adrish Sen, Salmaan Khan, Ian MacNeil, Jhomary Molden, Igor Gorbatchevsky, Brian F. Sullivan, Lance Laing. Gedatolisib, a pan-PI3K/mTOR inhibitor, shows superior potency and efficacy relative to other PI3K/AKT/mTOR pathway inhibitors in breast cancer models [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 PO1-24-04.

Intratumoral injection of interferon gamma promotes the efficacy of anti-PD1 treatment in colorectal cancer

Immune checkpoint inhibitors (ICIs) offer new options for the treatment of patients with solid cancers worldwide. The majority of colorectal cancers (CRC) are proficient in mismatch-repair (pMMR) genes, harboring fewer tumor antigens and are insensitive to ICIs. These tumors are often found to be immune-deserted. We hypothesized that forcing immune cell infiltration into the tumor microenvironment followed by immune ignition by PD1 blockade may initiate a positive immune cycle that can boost antitumor immunity. Bioinformatics using a public database suggested that IFNγ was a key indicator of immune status and prognosis in CRC. Intratumoral administration of IFNγ increased immune cells infiltration into the tumor, but induced PD-L1 expression. A combined treatment strategy using IFNγ and anti-PD-1 antibody significantly increased T cell killing of tumor cells in vitro and showed synergistic inhibition of tumor growth in a mouse model of CRC. CyTOF found drastic changes in the immune microenvironment upon combined immunotherapy. Treatment with IFNγ and anti-PD1 antibody in CT26 tumors significantly increased infiltration of polymorphonuclear myeloid-derived suppressor cells (PMN-MDSCs). IFNγ had a more pronounced effect in decreasing intratumoral M2-like macrophages, while PD1 blockade increased the population of CD8+Ly6C + T cells in the tumor microenvironment, creating a more pro-inflammatory microenvironment. Additionally, PD1 induced increased expression of lymphocyte activating 3 (LAG3) in a significant fraction of CD8+ T cells and Treg cells, indicating potential drug resistance and feedback mechanisms. In conclusion, our work provides preclinical data for the Combined immunotherapy of CRC using intratumoral delivery of IFNγ and systemic anti-PD1 monoclonoal antibody.

Developments in targeted therapy & immunotherapy-how non-small cell lung cancer management will change in the next decade: a narrative review.

The adoption of targeted therapy and immunotherapy has revolutionised the treatment landscape of non-small cell lung cancer. For early staged disease, incorporation of targeted therapy and immunotherapy has recently been demonstrated to reduce recurrence. Development of targeted therapies in advanced lung cancer is driven by advanced genomic sequencing techniques, better understanding of drug resistance mechanisms, and improved drug designs. The list of targetable molecular alteration is continuously expanding, and next generation molecular therapies have shown promise in circumventing drug resistance. Lung cancer patients may achieve durable disease control with immune checkpoint inhibitors however most patients develop immunotherapy resistance. A wide spectrum of resistance mechanisms, ranging from impaired T-cell activation, presence of coinhibitory immune checkpoints, to immunosuppressive tumour microenvironment, have been proposed. A multitude of novel immunotherapy strategies are under development to target such resistance mechanisms. This review aims to provide a succinct overview in the latest development in targeted therapy and immunotherapy for NSCLC management. We searched all original papers and reviews on targeted therapy and immunotherapy in non-small cell lung cancer (NSCLC) using PubMed in June 2022. Search terms included "non-small cell lung cancer", "targeted therapy", "immunotherapy", "EGFR", "ALK", "ROS1", "BRAF V600E", "MET", "RET", "KRAS", "HER2", "ERBB2", "NRG1", "immune checkpoint", "PD-1", "PD-L1", "CTLA4", "TIGIT", "VEGF", "cancer vaccine", "cellular therapy", "tumour microenvironment", "cytokine", and "gut microbiota". We first discuss the incorporation of targeted therapy and immunotherapy in early staged NSCLC. This includes the latest clinical data that led to the approval of neoadjuvant immunotherapy, adjuvant immunotherapy and adjuvant targeted therapy for early staged NSCLC. The second section focuses on targeted therapy in metastatic NSCLC. The list of targetable alteration now includes but is not limited to EGFR, ALK, ROS1, BRAF V600E, MET exon 14 skipping, RET, KRAS G12C, HER2 and NRG1. Potential drug resistance mechanisms and novel therapeutics under development are also discussed. The third section on immunotherapy in metastatic NSCLC, covers immunotherapy that are currently approved [anti-PD-(L)1 and anti-CTLA4], and agents that are under active research (e.g., anti-TIGIT, cancer vaccine, cellular therapy, cytokine and other TME modulating agents). This review encompasses the latest updates in targeted therapy and immunotherapy in lung cancer management and discusses the future direction in the field.

Review article: new treatments for advanced differentiated thyroid cancers and potential mechanisms of drug resistance.

The treatment of advanced, radioiodine refractory, differentiated thyroid cancers (RR-DTCs) has undergone major advancements in the last decade, causing a paradigm shift in the management and prognosis of these patients. Better understanding of the molecular drivers of tumorigenesis and access to next generation sequencing of tumors have led to the development and Food and Drug Administration (FDA)-approval of numerous targeted therapies for RR-DTCs, including antiangiogenic multikinase inhibitors, and more recently, fusion-specific kinase inhibitors such as RET inhibitors and NTRK inhibitors. BRAF + MEK inhibitors have also been approved for BRAF-mutated solid tumors and are routinely used in RR-DTCs in many centers. However, none of the currently available treatments are curative, and most patients will ultimately show progression. Current research efforts are therefore focused on identifying resistance mechanisms to tyrosine kinase inhibitors and ways to overcome them. Various novel treatment strategies are under investigation, including immunotherapy, redifferentiation therapy, and second-generation kinase inhibitors. In this review, we will discuss currently available drugs for advanced RR-DTCs, potential mechanisms of drug resistance and future therapeutic avenues.

Design of the New Closo-Dodecarborate-Containing Gemcitabine Analogue for the Albumin-Based Theranostics Composition.

Combination therapy is becoming an increasingly important treatment strategy because multi-drugs can maximize therapeutic effect and overcome potential mechanisms of drug resistance. A new albumin-based theranostic containing gemcitabine closo-dodecaborate analogue has been developed for combining boron neutron capture therapy (BNCT) and chemotheraphy. An exo-heterocyclic amino group of gemcitabine was used to introduce closo-dodecaborate, and a 5'-hydroxy group was used to tether maleimide moiety through an acid-labile phosphamide linker. The N-trifluoroacylated homocysteine thiolactone was used to attach the gemcitabine analogue to human serum albumin (HSA) bearing Cy5 or Cy7 fluorescent dyes. The half-maximal inhibitory concentration (IC50) of the designed theranostic relative to T98G cells was 0.47 mM with the correlation coefficient R = 0.82. BNCT experiments resulted in a decrease in the viability of T98G cells, and the survival fraction was ≈ 0.4.

The Roles of Exosomes in the Diagnose, Development and Therapeutic Resistance of Oral Squamous Cell Carcinoma.

Oral cancer is one of the most common cancers worldwide, of which more than half of patients are diagnosed at a locally advanced stage with poor prognosis due to recurrence, metastasis and resistant to treatment. Thus, it is imperative to further explore the potential mechanism of development and drug resistance of oral cancer. Exosomes are small endosome-derived lipid nanoparticles that are released by cells. Since the cargoes of exosomes were inherited from their donor cells, the cargo profiles of exosomes can well recapitulate that of their donor cells. This is the theoretical basis of exosome-based liquid biopsy, providing a tool for early diagnosis of oral cancer. As an important intracellular bioactive cargo delivery vector, exosomes play a critical role in the development of oral cancer by transferring their cargoes to receipt cells. More importantly, recent studies have revealed that exosomes could induce therapy-resistance in oral cancer through multiple ways, including exosome-mediated drug efflux. In this review, we summarize and compare the role of exosomes in the diagnosis, development and therapy-resistant of oral cancer. We also highlight the clinical application of exosomes, and discuss the advantages and challenges of exosomes serving as predictive biomarker, therapy target and therapy vector in oral cancer.

Pipeline for characterizing alternative mechanisms (PCAM) based on bi-clustering to study colorectal cancer heterogeneity

The cells of colorectal cancer (CRC) in their microenvironment experience constant stress, leading to dysregulated activity in the tumor niche. As a result, cancer cells acquire alternative pathways in response to the changing microenvironment, posing significant challenges for the design of effective cancer treatment strategies. While computational studies on high-throughput omics data have advanced our understanding of CRC subtypes, characterizing the heterogeneity of this disease remains remarkably complex. Here, we present a novel computational Pipeline for Characterizing Alternative Mechanisms (PCAM) based on biclustering to gain a more detailed understanding of cancer heterogeneity. Our application of PCAM to large-scale CRC transcriptomics datasets suggests that PCAM can generate a wealth of information leading to new biological understanding and predictive markers of alternative mechanisms. Our key findings include: 1) A comprehensive collection of alternative pathways in CRC, associated with biological and clinical factors. 2) Full annotation of detected alternative mechanisms, including their enrichment in known pathways and associations with various clinical outcomes. 3) A mechanistic relationship between known clinical subtypes and outcomes on a consensus map, visualized by the presence of alternative mechanisms. 4) Several potential novel alternative drug resistance mechanisms for Oxaliplatin, 5-Fluorouracil, and FOLFOX, some of which were validated on independent datasets. We believe that gaining a deeper understanding of alternative mechanisms is a critical step towards characterizing the heterogeneity of CRC. The hypotheses generated by PCAM, along with the comprehensive collection of biologically and clinically associated alternative pathways in CRC, could provide valuable insights into the underlying mechanisms driving cancer progression and drug resistance, which could aid in the development of more effective cancer therapies and guide experimental design towards more targeted and personalized treatment strategies. The computational pipeline of PCAM is available in GitHub (https://github.com/changwn/BC-CRC).

EGFR TKI resistance in lung cancer cells using RNA sequencing and analytical bioinformatics tools

Epidermal Growth Factor Receptor (EGFR) signaling and EGFR mutations play key roles in cancer pathogenesis, particularly in the development of drug resistance. For the ∼20% of all non-small cell lung cancer (NSCLC) patients that harbor an activating mutation, EGFR tyrosine kinase inhibitors (TKIs) provide initial clinical responses. However, long-term efficacy is not possible due to acquired drug resistance. Despite a gradually increasing knowledge of the mechanisms underpinning the development of resistance in tumors, there has been very little success in overcoming it and it is probable that many additional mechanisms are still unknown. Herein, publicly available RNASeq (RNA sequencing) datasets comparing lung cancer cell lines treated with EGFR TKIs until resistance developed with their corresponding parental cells and protein array data from our own EGFR TKI treated xenograft tumors, were analyzed for differential gene expression, with the intent to investigate the potential mechanisms of drug resistance to EGFR TKIs. Pathway analysis, as well as structural disorder analysis of proteins in these pathways, revealed several key proteins, including DUSP1, DUSP6, GAB2, and FOS, that could be targeted using novel combination therapies to overcome EGFR TKI resistance in lung cancer.

The Molecular Landscape and Essential Pathways Involved in Bone Marrow-Mediated Carfilzomib Resistance of Multiple Myeloma

Background Multiple myeloma (MM) remains an incurable plasma cell malignancy where virtually all patients develop drug resistance, relapse, and ultimately die from the disease. Anti-myeloma drugs, such as the proteasome inhibitors (PIs) bortezomib (BTZ) and carfilzomib (CFZ) constitute an essential part of contemporary treatment regimens in clinical practice and have considerably improved MM patient prognosis. Despite therapeutic advances in the past years, clonal evolution of myeloma cells, which is characterized by heterogeneous genomic aberrations, cell-intrinsic proteomic and metabolomic adaptations, as well as cell-extrinsic tumor-promoting alterations within the bone marrow (BM) microenvironment still pose major challenges in MM treatment. Understanding the underlying mechanisms responsible for PI resistance provide a key to targeting both, PI-resistant minimal residual disease that drives relapsed MM after prolonged PI-containing frontline therapy, as well as PI-refractory, aggressive advanced MM. While potential drug resistance mechanisms have been described in vitro, we still lack understanding of PI resistance in vivo, where clonal heterogeneity and the tumor microenvironment (TME) within the BM add additional levels of complexity. Thus, in this study we aim to identify molecular alterations occurring during MM progression under the long-term selective pressure of CFZ in vivo as well as in the context of the TME to identify essential molecular pathways and discover novel therapeutic options for the treatment of relapsed/refractory MM. In addition, confocal imaging of MM-harboring mouse femur cross-sections showed MM and/or PI-induced morphological changes within the TME in vivo. Methods NSG mice bearing intrafemorally injected human RPMI-8226 cells were either left untreated or were treated long-term with 4 mg/kg i.v. CFZ until they eventually became drug resistant. At this point, CFZ-naïve and CFZ-resistant cells, together with other cells from the TME, were isolated and processed for single-cell RNA sequencing (scRNA-seq, 10x Genomics) with the aim to characterize a transcriptional CFZ resistance signature in refractory myeloma cells. Concomitantly, non-injected femurs from the same mice were processed for confocal imaging of femur cross-sections to investigate myeloma-induced morphological changes in and without the presence of CFZ. Results ScRNA-seq analysis showed a distinct transcriptional profile for CFZ-refractory RPMI-8226 cells when compared with CFZ-naïve cells isolated from the BM of untreated mice. Unsupervised clustering analysis, using UMAP, revealed several clusters that were present only in the samples derived from refractory mice. Those clusters were then compared with clusters from the untreated samples which disappeared upon exposure to CFZ to characterize the transcriptional changes characteristic for the emerging clusters. The gene list obtained from this comparison was used as input for gene set enrichment analysis (GSEA), which showed high normalized enrichment scores (NES) for gene sets related to oxidative phosphorylation and interferon signaling whereas low negative NES were obtained for gene sets related to cell cycling, when compared to CFZ-naïve cells. Confocal images revealed the occurrence of tumor-induced neovascularization as well as the presence of a tumor-associated network of CXCL12 abundant reticular stromal cells which are in close proximity of the myeloma tumor mass. Conclusion In conclusion, MM cells that acquired CFZ resistance within the TME differ significantly from CFZ-naïve cells. CFZ resistance is likely occurring due to various cell-intrinsic and cell-extrinsic alterations, which are yet to be determined. However, the data suggests that increased OXPHOS and reduced cell cycling are likely to be key factors with regards to cellular adaptation towards CFZ exposure in vivo. Confocal imaging of mouse femur cross-sections showed an altered morphology within the TME which is induced presumably by the presence of myeloma cells. Moreover, the formation of new blood vessels in combination with mutual interaction with other BM homing cells is likely to play an important role in PI-resistance in vivo.

A novel medication decision gene signature predicts response to individualized therapy and prognosis outcomes in hepatocellular carcinoma patients.

Molecular targeted therapy has shown potential in hepatocellular carcinoma (HCC) patients, and immunotherapy applications are developing rapidly. However, clinical guidance for making individualized therapy decisions for HCC patients remains lacking. MDH (Medication Decision in HCC) gene signatures comprising 70 genes were screened using transcriptomic data from multikinase inhibitor (TKI)-resistant HCC cells and HCC patient-derived xenograft model (PDX) models. Four MDH subtypes with distinct biological and clinical characteristics were defined by unsupervised cluster analysis of HCC data from The Cancer Genome Atlas (TCGA) database. To facilitate individualized and reasonable clinical guidance for each HCC patient, we constructed the MDH score. Comprehensive analysis suggested high MDH scores were associated with TKI resistance, a high proportion of stromal cell infiltration and poor survival outcomes. We recommend concomitant stromal activity intervention and immunotherapy for this type of HCC. Moreover, low MDH scores indicate TKI sensitivity, and a combination of targeted and immunotherapy is recommended. The nomogram constructed by iteration least absolute shrinkage and selection operator (LASSO) Cox regression analysis successfully predicted 3- or 5-year survival outcomes and mortality risks of HCC patients. In conclusion, TKI resistance model-based MDH gene signatures provide novel insight into potential mechanisms of drug resistance and heterogeneity in HCC. Integrative analysis plus a simplified decision model may aid personalized treatment and prognostic assessment among HCC patients.

COMMD4 is a novel prognostic biomarker and relates to potential drug resistance mechanism in glioma.

Background: Glioma as the most frequently discovered tumor affecting the brain shows significant morbidity and fatality rates with unfavorable prognosis. There is an urgent need to find novel therapeutic targets to overcome the low chemotherapeutic efficacy of glioma. This research examined whether the copper-metabolism-domain protein, COMMD4, had predictive and therapeutic significance in glioma. Methods: Using the freely accessible CGGA (The Chinese Glioma Atlas) and TCGA (The Cancer Genome Atlas) databases, we examined the function of COMMD4 in GBM and LGG. CIBERSORT and TIMER were utilized to assess the associations between COMMD4 and immune cells. The Gene Set Enrichment Analysis (GSEA) was employed to examine the functional data. Furthermore, the link between COMMD4 expression and predicted treatment response was evaluated via CellMiner Cross-Database. Meanwhile, qRT-PCR was conducted to examine COMMD4 expression in human glioma. Finally, Migration and invasion of glioma cells (U-87, U-251) were assessed using transwell assays. R was used to analyze the statistical data. Results: According to our findings, COMMD4 expression level was higher in patients having grade-dependent glioma who also showed an unfavorable prognosis. Furthermore, qRT-PCR confirmed the high expression of COMMD4 in glioma tissues and cells. Additionally, using integrated correlation analysis, we acquired significant prognostic findings between isocitrate dehydrogenase 1(IDH1) and COMMD4. Meanwhile, a link between COMMD4 and many tumor-infiltrating immune cells was observed. GSEA and drug response analysis revealed the potential mechanism of COMMD4 in drug resistance of glioma. Conclusion: The current findings validated COMMD4 as a novel biological marker, which might offer insights into the possible drug resistance mechanisms and the impact of the immune microenvironment on glioma. COMMD4 might be used to predict glioma prognosis.

Genomic and biological study of fusion genes as resistance mechanisms to EGFR inhibitors

The clinical significance of gene fusions detected by DNA-based next generation sequencing remains unclear as resistance mechanisms to EGFR tyrosine kinase inhibitors in EGFR mutant non-small cell lung cancer. By studying EGFR inhibitor-resistant patients treated with a combination of an EGFR inhibitor and a drug targeting the putative resistance-causing fusion oncogene, we identify patients who benefit and those who do not from this treatment approach. Through evaluation including RNA-seq of potential drug resistance-imparting fusion oncogenes in 504 patients with EGFR mutant lung cancer, we identify only a minority of them as functional, potentially capable of imparting EGFR inhibitor resistance. We further functionally validate fusion oncogenes in vitro using CRISPR-based editing of EGFR mutant cell lines and use these models to identify known and unknown drug resistance mechanisms to combination therapies. Collectively, our results partially reveal the complex nature of fusion oncogenes as potential drug resistance mechanisms and highlight approaches that can be undertaken to determine their functional significance.

The Global mRNA Expression Profiles of Inhibiting PHGDH Induced Cisplatin Resistance in Gastric Cancer.

Objective Drug resistance is the main hindrance to improve the prognosis of patients with gastric cancer. Amino acid metabolic reprograming is essential to satisfy the different requirements of cancer cells during drug resistance, of which serine deprivation could promote resistance to cisplatin in gastric cancer. As the key enzyme in the de novo biosynthesis of serine, phosphoglycerate dehydrogenase (PHGDH) inhibition could also induce cisplatin resistance in gastric cancer. This study aims to reveal the potential mechanisms of drug resistance induced by PHGDH inhibition via exploring the global mRNA expression profiles. Materials and Methods In this experimental study, the viability and the apoptotic rate of gastric cancer cells were evaluated by using Cell Counting Kit-8 (CCK-8) analysis and flow cytometric determination, respectively. The identification of differentially expressed genes (DEGs) was tested by mRNA-sequencing (mRNA-Seq) analysis. The confirmation of sequencing results was verified using real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR). Results The inhibition of PHGDH significantly increased the viability and decreased the apoptotic rate induced by cisplatin in gastric cancer cells. mRNA-Seq analysis revealed that the combined treatment of NCT503 reduced the number of DEGs induced by cisplatin. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) showed that unfolded protein response, ECM receptor interaction and cell cycle signaling pathways were modulated by NCT503 treatment. Hub genes were identified by using protein-protein interaction network modeling, of which E1A binding protein p300 (EP300) and heat shock protein family A (Hsp70) member 8 (HSPA8) act as the vital genes in cisplatin resistance induced by the inhibition of PHGDH. ConclusionThese findings suggested that the inhibition of PHGDH promoted cisplatin resistance in gastric cancer through various intercellular mechanisms. And appropriate serine supplementation or the modulation of EP300 and HSPA8 may be of great help in overcoming cisplatin resistance in gastric cancer.

Abstract 3600: DCC-3116, a first-in-class selective inhibitor of ULK1/2 kinases and autophagy, synergizes with the KRASG12C inhibitor sotorasib resulting in tumor regression in KRAS mutant NSCLC xenograft models

Abstract Mutationally-activated RAS oncoproteins are detected in approximately 19% of newly diagnosed human cancers and have been targets for drug discovery for over 40 years. Recently, the FDA approved sotorasib, a covalent inhibitor of KRASG12C, for the treatment of non-small cell lung cancer (NSCLC). Although sotorasib demonstrated clear clinical benefits, the emergence of drug resistance has led to drug combination approaches with the goal of deepening and sustaining the durability of patient responses. One potential mechanism of drug resistance is the induction of autophagy, which cancer cells use to survive during periods of stress such as treatment with pathway-targeted therapies. Indeed, KRAS-mutated cancer cells have been shown to exhibit constitutive autophagy for survival. Additionally, such cells further increase autophagy when treated with pathway-targeted inhibitors of RAS>RAF>MEK>ERK MAP kinase signaling as a resistance mechanism. Hence, the combination of a KRASG12C inhibitor with a specific and potent autophagy inhibitor could lead to deeper and more sustained clinical responses. DCC-3116 is an investigational, potent and selective pharmacological inhibitor of the protein kinases ULK1 and ULK2, which are critical initiating components of the autophagy pathway. Treatment of KRASG12C non-small cell lung cancer (NSCLC) cell lines with sotorasib induced autophagy by ~2-fold via activation of ULK kinases as measured by an increase in ULK-mediated phosphorylation of ATG13. Sotorasib-mediated ULK kinase activation, and resulting autophagic flux, was inhibited by DCC-3116 in a dose-dependent manner with IC50 values of 81-160 nM in NSCLC cell lines. These effects translated to in vivo efficacy. In the Calu-1 and H358 KRASG12C NSCLC xenograft models, the combination of DCC-3116 and sotorasib resulted in tumor regression whereas single treatment arms afforded only inhibition of tumor growth. A NSCLC KRASG12C patient derived xenograft (PDX) model further supported the DCC-3116 and sotorasib combination with increased tumor growth inhibition compared to sotorasib alone. These data demonstrate a compelling rationale to study DCC-3116 in combination with KRASG12C inhibitors such as sotorasib in NSCLC patients. DCC-3116 is currently in a Phase 1 clinical trial in patients with advanced solid tumors with documented KRAS, NRAS or BRAF mutations (NCT04892017). Citation Format: Martin McMahon, Madhumita Bogdan, Mary J. Timson, Hikmat Al-Hashimi, Phaedra Ghazi, Yu Zhan, Bryan D. Smith, Conan G. Kinsey, Daniel L. Flynn. DCC-3116, a first-in-class selective inhibitor of ULK1/2 kinases and autophagy, synergizes with the KRASG12C inhibitor sotorasib resulting in tumor regression in KRAS mutant NSCLC xenograft models [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3600.

Overexpression of ABCB1 Associated With the Resistance to the KRAS-G12C Specific Inhibitor ARS-1620 in Cancer Cells.

The KRAS-G12C inhibitor ARS-1620, is a novel specific covalent inhibitor of KRAS-G12C, possessing a strong targeting inhibitory effect on KRAS-G12C mutant tumors. Overexpression of ATP-binding cassette super-family B member 1 (ABCB1/P-gp) is one of the pivotal factors contributing to multidrug resistance (MDR), and its association with KRAS mutations has been extensively studied. However, the investigations about the connection between the inhibitors of mutant KRAS and the level of ABC transporters are still missing. In this study, we investigated the potential drug resistance mechanism of ARS-1620 associated with ABCB1. The desensitization effect of ARS-1620 was remarkably intensified in both drug-induced ABCB1-overexpressing cancer cells and ABCB1-transfected cells as confirmed by cell viability assay results. This desensitization of ARS-1620 could be completely reversed when co-treated with an ABCB1 reversal agent. In mechanism-based studies, [3H] -paclitaxel accumulation assay revealed that ARS-1620 could be competitively pumped out by ABCB1. Additionally, it was found that ARS-1620 remarkably stimulated ATPase activity of ABCB1, and the HPLC drug accumulation assay displayed that ARS-1620 was actively transported out of ABCB1-overexpressing cancer cells. ARS-1620 acquired a high docking score in computer molecular docking analysis, implying ARS-1620 could intensely interact with ABCB1 transporters. Taken all together, these data indicated that ARS-1620 is a substrate for ABCB1, and the potential influence of ARS-1620-related cancer therapy on ABCB1-overexpressing cancer cells should be considered in future clinical applications.

Azole uptake in Candida auris is strongly correlated with drug resistance

Analyses of fluconazole uptake in clinical isolates of C. auris, with wide ranging drug resistance profiles, has revealed interesting differences within the species as well as major distinctions from other yeast species. We previously proposed that prevention of drug uptake is a potential mechanism of drug resistance and our C. auris data provide further support for this. We developed an assay using radio-labeled fluconazole to measure intracellular azole accumulation in fungal cells. The assay is performed under glucose-replete conditions to inhibit ATP-dependent efflux. A comparative study measuring fluconazole uptake in 63 C. auris isolates as well as a panel of other species such as C. albicans, S. cerevisiae, C. glabrata, C. krusie, C. lusitanea, C. tropicalis, and C. dublinienses revealed striking C. auris phenotypes that we have not seen in other fungal species. There is a strong correlation between fluconazole resistance and reduced drug uptake in C. auris. Fluconazole-resistant C. auris isolates had reduced levels of intracellular fluconazole accumulation compared to susceptible isolates. Drug-resistant C. auris isolates had the lowest drug accumulation of any of the yeast species tested. Fluconazole-susceptible C. auris isolates had dramatically increased fluconazole accumulation compared to the resistant isolates as well as when compared to other yeast species. Of the 63 C. auris isolates, 28 of 32 (∼88%) resistant isolates had extremely low fluconazole uptake, whereas 15 of 18 (∼83%) susceptible isolates had high fluconazole uptake. This association between reduced drug uptake and resistance could be a C. auris-distinctive mechanism of drug resistance.

A Phase I Study of Pevonedistat, Azacitidine and Venetoclax for Patients with Relapsed/Refractory Acute Myelogenous Leukemia (AML)

Background:Outcomes of patients with relapsed/refractory AML (RR-AML) have remained poor. Therapy with venetoclax based combinations in this setting leads to CR/CRi rates of 21-49% (DiNardo CD et al. Am J Hematol 2018, Aldoss I et al. Haematologica 2018, Stahl M et al. Blood Adv 2020). Preclinical studies with BCL-2 inhibitors indicate potential mechanisms of drug resistance including overexpression of the anti-apoptotic protein MCL-1 (Konopleva et al. Cancer Cell. 2006). Pevonedistat is a first in class inhibitor of Nedd8 activating enzyme that induces the pro-apoptotic protein NOXA leading to neutralization of MCL-1 and apoptosis. Preclinical studies evaluating the combination of pevonedistat and venetoclax against AML cell lines have demonstrated a synergistic effect (Knorr KL et al. Cell Death Differ. 2015). Hence, we designed a phase I study to assess the safety and tolerability of adding pevonedistat to the combination of azacitidine and venetoclax in patients with RR-AML.Study design and methods:We conducted a phase I study with the combination of pevonedistat, venetoclax and azacitidine in patients with RR-AML. Patients aged 18 years or above with morphologically documented RR-AML, ECOG performance status 0-2 and adequate organ function were eligible. Major exclusion criteria were isolated extramedullary relapse, hematopoietic cell transplantation (HCT) within 100 days of enrollment, and active acute GVHD. Previous therapy with hypomethylating agents (HMA) or venetoclax was not an exclusion criterion. The dose escalation phase was conducted using 3+3 design. Treatment included azacitidine (75 mg/m 2 daily x 7 days), venetoclax (400 mg daily x 28 days), and pevonedistat in escalating doses (10-20 mg/m 2 IV days 1,3,5 of each cycle) with a cycle length of 28 days. Pevonedistat was given at 10 mg/m 2 dose in cohort 1, 15 mg/m 2 dose in cohort 2 and 20 mg/m 2 dose in cohort 3.The primary endpoint is to determine the recommended phase 2 dose (RP2D) and toxicity profile of pevonedistat, azacitidine and venetoclax. Other endpoints included determination of response rates, duration of response, survival, pharmacokinetics, correlation of response rates with AML genomic profile, correlation of pretreatment levels of BCL2, BCLXL, MCL1, BAX or BAK with response, determination of changes in NOXA (PMAIP1) mRNA and protein expression pre-and post-pevonedistat treatment, evaluation of BH3 mimetic profiling on bone marrow samples by flow cytometry and assessing the sensitivity of leukemia and leukemic stem/progenitor cells to pevonedistat ex vivo.Results:Thirteen patients participated in the dose escalation phase, 12 of whom were evaluable. Median age was 69 years (61-91), 30.8% had secondary/therapy related AML, 69.2% with adverse risk disease, 53.8% previously received venetoclax/HMA and 23.1% had relapse after prior allogeneic hematopoietic cell transplantation (HCT) (Table 1). Seven patients were enrolled into cohort 1 (pevonedistat 10 mg/m 2 dose) of which one was not evaluable, three patients enrolled into cohort 2 (pevonedistat 15 mg/m 2 dose), and three patients enrolled into cohort 3 (pevonedistat 20 mg/m 2 dose). Grade 3 or higher AEs included febrile neutropenia (23%), infection (15%), anemia (38%), neutropenia (54%), thrombocytopenia (38%). There was 1 dose limiting toxicity (DLT) in cohort 1 (atrial fibrillation) that triggered cohort expansion. However, subsequent patients did not experience DLT despite planned dose escalation. Of the 12 evaluable total patients, CR/CRi was observed in 5 (41.6%) patients. Notably, patients with RR-AML who were venetoclax/HMA naïve had a CR/CRi 83.3% (5/6 patients). The response rates for each cohort are summarized in Table 2. Three of the five patients with CR/CRi (60%) achieved MRD negativity by flow cytometry. Four patients who achieved CR/CRi proceeded to allogeneic HCT after therapy. Median OS of the cohort was 5.4 months (1.8-14) and median OS was not reached in patients with CR/CRi.Conclusions:The addition of pevonedistat to venetoclax and azacitidine backbone is safe and well tolerated in patients with RR-AML. Dose escalation yielded encouraging efficacy in venetoclax/HMA naïve RR-AML patients. The study is currently in the dose expansion phase. Details on correlative studies examining mechanisms of therapeutic efficacy and resistance will be reported in the main meeting. [Display omitted] DisclosuresGuru Murthy: Cardinal health: Honoraria; TG Therapeutics: Other: Advisory board meeting; DAVA Oncology: Honoraria; CancerExpertNow: Honoraria; Qessential: Honoraria; Techspert: Consultancy; Curio Sciences: Honoraria; Guidepoint: Consultancy. Abedin: AltruBio: Research Funding; Helsinn: Research Funding; Amgen: Honoraria; Pfizer: Research Funding; Agios: Honoraria; Actinium: Research Funding; Astellas Pharma Inc.: Research Funding. Litzow: Jazz: Other: Advisory Board; Pluristem: Research Funding; Actinium: Research Funding; Amgen: Research Funding; Astellas: Research Funding; AbbVie: Research Funding; Omeros: Other: Advisory Board; Biosight: Other: Data monitoring committee. Atallah: Novartis: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Research Funding; BMS: Honoraria, Speakers Bureau; Takeda: Consultancy, Research Funding; Abbvie: Consultancy, Speakers Bureau; Amgen: Consultancy.

Individualized Treatment Strategy for Cutaneous Melanoma: Where Are We Now and Where Are We Going?

In the past several decades, innovative research in cancer biology and immunology has contributed to novel therapeutics, such as targeted therapy and immunotherapy, which have transformed the management of patients with melanoma. Despite the remarkable therapeutic outcomes of targeted treatments targeting MAPK signaling and immunotherapy that suppresses immune checkpoints, some individuals acquire therapeutic resistance and disease recurrence. This review summarizes the current understanding of melanoma genetic variations and discusses individualized melanoma therapy options, particularly for advanced or metastatic melanoma, as well as potential drug resistance mechanisms. A deeper understanding of individualized treatment will assist in improving clinical outcomes for patients with cutaneous melanoma.

Development and validation of an intra-tumor heterogeneity-related signature to predict prognosis of bladder cancer: a study based on single-cell RNA-seq.

Intra-tumor heterogeneity (ITH) was a potential mechanism of progression and drug resistance in bladder cancer (BCa). However, the understanding of ITH in BCa remains insufficient. Single-cell RNA sequencing (scRNA-seq) profiles of 2075 cells were analyzed, and 2940 cell markers were screened. The ITH of 396 cases was evaluated, and 96 ITH-related genes were identified. Based on the gene-pair strategy, 96 genes were cyclically paired, and an 8-gene-pair model was successfully established to evaluate the overall survival of BCa through Lasso and multivariate Cox regressions. The risk model showed high predictive value in the training dataset (n = 396, p = 0) and external validation datasets (n = 165, p = 2.497e-02; n = 224, p = 3.423e-02). The model was also valuable for the prediction of clinical treatment outcomes. Totally, a prognostic model based on scRNA-seq and ITH was successfully constructed and validated in large cohorts, providing novel clues for ITH study of BCa.