PERCEPTION predicts patient response and resistance to treatment using single-cell transcriptomics of their tumors

Tailoring optimal treatment for individual cancer patients remains a significant challenge. To address this issue, we developed PERCEPTION (PERsonalized Single-Cell Expression-Based Planning for Treatments In ONcology), a precision oncology computational pipeline. Our approach uses publicly available matched bulk and single-cell (sc) expression profiles from large-scale cell-line drug screens. These profiles help build treatment response models based on patients' sc-tumor transcriptomics. PERCEPTION demonstrates success in predicting responses to targeted therapies in cultured and patient-tumor-derived primary cells, as well as in two clinical trials for multiple myeloma and breast cancer. It also captures the resistance development in patients with lung cancer treated with tyrosine kinase inhibitors. PERCEPTION outperforms published state-of-the-art sc-based and bulk-based predictors in all clinical cohorts. PERCEPTION is accessible at https://github.com/ruppinlab/PERCEPTION . Our work, showcasing patient stratification using sc-expression profiles of their tumors, will encourage the adoption of sc-omics profiling in clinical settings, enhancing precision oncology tools based on sc-omics.

Phase-Separated Biomolecular Condensation in Cancer: New Horizons and Next Frontiers

SUMMARY

Beyond lipid membrane compartments, cells including cancer cells utilize various membraneless compartments, often termed biomolecular condensates, to regulate or organize key cellular processes underlying physiologic or pathologic phenotypes. In this commentary, the emergence of biomolecular condensation in cancer biology is highlighted, with a focus on key unanswered questions and with implications for improving the understanding of cancer pathogenesis and developing innovative cancer management strategies.

The role of APOBEC3B in lung tumor evolution and targeted cancer therapy resistance

In this study, the impact of the apolipoprotein B mRNA-editing catalytic subunit-like (APOBEC) enzyme APOBEC3B (A3B) on epidermal growth factor receptor (EGFR)-driven lung cancer was assessed. A3B expression in EGFR mutant (EGFRmut) non-small-cell lung cancer (NSCLC) mouse models constrained tumorigenesis, while A3B expression in tumors treated with EGFR-targeted cancer therapy was associated with treatment resistance. Analyses of human NSCLC models treated with EGFR-targeted therapy showed upregulation of A3B and revealed therapy-induced activation of nuclear factor kappa B (NF-κB) as an inducer of A3B expression. Significantly reduced viability was observed with A3B deficiency, and A3B was required for the enrichment of APOBEC mutation signatures, in targeted therapy-treated human NSCLC preclinical models. Upregulation of A3B was confirmed in patients with NSCLC treated with EGFR-targeted therapy. This study uncovers the multifaceted roles of A3B in NSCLC and identifies A3B as a potential target for more durable responses to targeted cancer therapy.

Unlocking the EGFR-mediated epitranscriptome: A pathway to novel therapies

In this issue, Lv et al.1 explore EGFR-driven epitranscriptomic reprogramming in glioblastoma, revealing the pivotal role of the EGFR-ALKBH5-GCLM axis in ferroptosis protection. Their findings offer mechanistic insight and therapeutic strategies involving novel combination targets to enhance tumor responses.

The essential chaperone DNAJC17 activates HSP70 to coordinate RNA splicing and G2-M progression

Molecular chaperones including the heat-shock protein 70-kilodalton (HSP70) family and the J-domain containing protein (JDP) co-chaperones maintain homeostatic balance in eukaryotic cells through regulation of the proteome. The expansive JDP family helps direct specific HSP70 functions, and yet loss of single JDP-encoding genes is widely tolerated by mammalian cells, suggesting a high degree of redundancy. By contrast, essential JDPs might carry out HSP70-independent functions or fill cell-context dependent, highly specialized roles within the proteostasis network. Using a genetic screen of JDPs in human cancer cell lines, we found the RNA recognition motif (RRM) containing DNAJC17 to be pan-essential and investigated the contribution of its structural domains to biochemical and cellular function. We found that the RRM exerts an auto-inhibitory effect on the ability of DNAJC17 to allosterically activate ATP hydrolysis by HSP70. The J-domain, but neither the RRM nor a distal C-terminal alpha helix are required to rescue cell viability after loss of endogenous DNAJC17 . Knockdown of DNAJC17 leads to relatively few conserved changes in the abundance of individual mRNAs, but instead deranges gene expression through exon skipping, primarily of genes involved in cell cycle progression. Concordant with cell viability experiments, the C-terminal portions of DNAJC17 are dispensable for restoring splicing and G2-M progression. Overall, our findings identify essential cellular JDPs and suggest that diversification in JDP structure extends the HSP70-JDP system to control divergent processes such as RNA splicing. Future investigations into the structural basis for auto-inhibition of the DNAJC17 J-domain and the molecular regulation of splicing by these components may provide insights on how conserved biochemical mechanisms can be programmed to fill unique, non-redundant cellular roles and broaden the scope of the proteostasis network.

Long Non-Coding RNAs as Emerging Targets in Lung Cancer

Long non-coding RNAs (LncRNAs) are mRNA-like molecules that do not encode for proteins and that are longer than 200 nucleotides. LncRNAs play important biological roles in normal cell physiology and organism development. Therefore, deregulation of their activities is involved in disease processes such as cancer. Lung cancer is the leading cause of cancer-related deaths due to late stage at diagnosis, distant metastasis, and high rates of therapeutic failure. LncRNAs are emerging as important molecules in lung cancer for their oncogenic or tumor-suppressive functions. LncRNAs are highly stable in circulation, presenting an opportunity for use as non-invasive and early-stage cancer diagnostic tools. Here, we summarize the latest works providing in vivo evidence available for lncRNAs role in cancer development, therapy-induced resistance, and their potential as biomarkers for diagnosis and prognosis, with a focus on lung cancer. Additionally, we discuss current therapeutic approaches to target lncRNAs. The evidence discussed here strongly suggests that investigation of lncRNAs in lung cancer in addition to protein-coding genes will provide a holistic view of molecular mechanisms of cancer initiation, development, and progression, and could open up a new avenue for cancer treatment.

FET fusion oncoproteins disrupt physiologic DNA repair networks and induce ATR synthetic lethality in cancer

The genetic principle of synthetic lethality is clinically validated in cancers with loss of specific DNA damage response (DDR) pathway genes (i.e. BRCA1/2 tumor suppressor mutations). The broader question of whether and how oncogenes create tumor-specific vulnerabilities within DDR networks remains unanswered. Native FET protein family members are among the earliest proteins recruited to DNA double-strand breaks (DSBs) during the DDR, though the function of both native FET proteins and FET fusion oncoproteins in DSB repair remains poorly defined. Here we focus on Ewing sarcoma (ES), an EWS-FLI1 fusion oncoprotein-driven pediatric bone tumor, as a model for FET rearranged cancers. We discover that the EWS-FLI1 fusion oncoprotein is recruited to DNA DSBs and interferes with native EWS function in activating the DNA damage sensor ATM. Using preclinical mechanistic approaches and clinical datasets, we establish functional ATM deficiency as a principal DNA repair defect in ES and the compensatory ATR signaling axis as a collateral dependency and therapeutic target in FET rearranged cancers. Thus, aberrant recruitment of a fusion oncoprotein to sites of DNA damage can disrupt normal DSB repair, revealing a mechanism for how oncogenes can create cancer-specific synthetic lethality within DDR networks.

FET fusion oncoproteins disrupt physiologic DNA repair networks in cancer

While oncogenes promote cancer cell growth, unrestrained proliferation represents a significant stressor to cellular homeostasis networks such as the DNA damage response (DDR). To enable oncogene tolerance, many cancers disable tumor suppressive DDR signaling through genetic loss of DDR pathways and downstream effectors (e.g., ATM or p53 tumor suppressor mutations). Whether and how oncogenes can help "self-tolerize" by creating analogous functional deficiencies in physiologic DDR networks is not known. Here we focus on Ewing sarcoma, a FET fusion oncoprotein (EWS-FLI1) driven pediatric bone tumor, as a model for the class of FET rearranged cancers. Native FET protein family members are among the earliest factors recruited to DNA double-strand breaks (DSBs) during the DDR, though the function of both native FET proteins and FET fusion oncoproteins in DNA repair remains to be defined. Using preclinical mechanistic studies of the DDR and clinical genomic datasets from patient tumors, we discover that the EWS-FLI1 fusion oncoprotein is recruited to DNA DSBs and interferes with native FET (EWS) protein function in activating the DNA damage sensor ATM. As a consequence of FET fusion-mediated interference with the DDR, we establish functional ATM deficiency as the principal DNA repair defect in Ewing sarcoma and the compensatory ATR signaling axis as a collateral dependency and therapeutic target in multiple FET rearranged cancers. More generally, we find that aberrant recruitment of a fusion oncoprotein to sites of DNA damage can disrupt physiologic DSB repair, revealing a mechanism for how growth-promoting oncogenes can also create a functional deficiency within tumor suppressive DDR networks.

3-Phosphoinositide-dependent kinase 1 drives acquired resistance to osimertinib

Osimertinib sensitive and resistant NSCLC NCI-H1975 clones are used to model osimertinib acquired resistance in humanized and non-humanized mice and delineate potential resistance mechanisms. No new EGFR mutations or loss of the EGFR T790M mutation are found in resistant clones. Resistant tumors grown under continuous osimertinib pressure both in humanized and non-humanized mice show aggressive tumor regrowth which is significantly less sensitive to osimertinib as compared with parental tumors. 3-phosphoinositide-dependent kinase 1 (PDK1) is identified as a potential driver of osimertinib acquired resistance, and its selective inhibition by BX795 and CRISPR gene knock out, sensitizes resistant clones. In-vivo inhibition of PDK1 enhances the osimertinib sensitivity against osimertinib resistant xenograft and a patient derived xenograft (PDX) tumors. PDK1 knock-out dysregulates PI3K/Akt/mTOR signaling, promotes cell cycle arrest at the G1 phase. Yes-associated protein (YAP) and active-YAP are upregulated in resistant tumors, and PDK1 knock-out inhibits nuclear translocation of YAP. Higher expression of PDK1 and an association between PDK1 and YAP are found in patients with progressive disease following osimertinib treatment. PDK1 is a central upstream regulator of two critical drug resistance pathways: PI3K/AKT/mTOR and YAP.

Abstract 605: Single cell RNA sequencing reveals tumor immune microenvironment and T cell receptor diversity in epidermal growth factor receptor (EGFR) mutated lung cancer

Background:

Somatic alterations in the Epidermal Growth Factor Receptor (EGFR) gene represent a common subset of oncogene-driven lung cancer. Patients who receive EGFR-targeted tyrosine kinase inhibitor (TKI) therapy inevitably develop treatment resistance with limited options after disease progression, with immune checkpoint inhibitor therapy (ICI) typically ineffective. Tumor Immune Microenvironment (TME) characteristics, including T-cell receptor (TCR) sequencing and clonality have been incompletely explored in this population.

Methods:

We further analyzed our group’s available data from a previous study on therapy-induced evolution of human lung cancer (Maynard et. al, PMID: 32822576). Tumor samples were sorted and subjected to smartseq-based single-cell RNA sequencing. A total of 7495 cells were derived from 17 samples from 10 patients with tumors that harbored EGFR driver gene mutations. This included 1322 gene marker-annotated T-cells. Samples were grouped into three treatment conditions: treatment naïve (TN), residual disease (RD), and progressive disease (PD). We then used the TraCeR tool to infer the TCR α, β, and the complementarity-determining region 3 (CDR3) sequences.

Results:

T-cells were enriched in RD (55.2%) relative to TN (12.8%) and PD (31.9%) (p<0.0001, Chi-square test) with cytotoxic T-cells as the predominant phenotype across treatment conditions. Increased expression of CTLA4, and LAG3 occurred in PD (p<0.0001, Kruskal-Wallis test). Single-cell TCR analysis revealed increased TCR clonal diversity in PD (Shannon Diversity Index: 0.261 PD > 0.255 TN > 0.205 RD) while increased clonal expansion occurred in RD (32 clones from 4 patients) as compared to TN (17 clones from 1 patient) and PD (14 clones from 1 patient) (p<0.0001, Chi-square test).

Conclusion:

T-cell infiltration is greatest in RD, while immunosuppressive genes were significantly expressed in PD. Increased TCR clonal expansion with less clonal diversity in RD suggests the presence of tumor-specific TCR clones and that this may be the optimal time to initiate ICI treatment. Future directions will include the identification of clonally expanded TCR and matched neoantigens to provide potential tailored immunotherapies for patients with TKI-resistant tumors.

Citation Format: Turja Chakrabarti, Wei Wu, Daniel L. Kerr, Paul Allegakoen, Trever G. Bivona, Collin M. Blakely. Single cell RNA sequencing reveals tumor immune microenvironment and T cell receptor diversity in epidermal growth factor receptor (EGFR) mutated lung cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 605.

GATOR2-dependent mTORC1 activity is a therapeutic vulnerability in FOXO1 fusion-positive rhabdomyosarcoma

Oncogenic FOXO1 gene fusions drive a subset of rhabdomyosarcoma (RMS) with poor survival; to date, these cancer drivers are therapeutically intractable. To identify new therapies for this disease, we undertook an isogenic CRISPR-interference screen to define PAX3-FOXO1-specific genetic dependencies and identified genes in the GATOR2 complex. GATOR2 loss in RMS abrogated aa-induced lysosomal localization of mTORC1 and consequent downstream signaling, slowing G1-S cell cycle transition. In vivo suppression of GATOR2 impaired the growth of tumor xenografts and favored the outgrowth of cells lacking PAX3-FOXO1. Loss of a subset of GATOR2 members can be compensated by direct genetic activation of mTORC1. RAS mutations are also sufficient to decouple mTORC1 activation from GATOR2, and indeed, fusion-negative RMS harboring such mutations exhibit aa-independent mTORC1 activity. A bisteric, mTORC1-selective small molecule induced tumor regressions in fusion-positive patient-derived tumor xenografts. These findings highlight a vulnerability in FOXO1 fusion-positive RMS and provide rationale for the clinical evaluation of bisteric mTORC1 inhibitors, currently in phase I testing, to treat this disease. Isogenic genetic screens can, thus, identify potentially exploitable vulnerabilities in fusion-driven pediatric cancers that otherwise remain mostly undruggable.

Phase 1 Study of Ceritinib Combined With Trametinib in Patients With Advanced ALK- or ROS1-Positive NSCLC

Introduction

In patients with NSCLC harboring oncogenic ALK or ROS1 rearrangements, tyrosine kinase inhibitors have yielded high response rates and improvements in progression-free survival compared with cytotoxic chemotherapy; however, acquired resistance eventually develops. In preclinical models, ALK and MEK coinhibition was able to overcome ALK inhibitor resistance.

Methods

A phase 1 study of the ALK/ROS1 inhibitor ceritinib and the MEK inhibitor trametinib in patients with refractory NSCLC harboring ALK or ROS1 fusions was initiated. A three plus three dose-escalation scheme was used. Two dose levels were investigated. The primary end point was to determine the safety and tolerability of the combination.

Results

Nine patients (n = 8 ALK+, n = 1 ROS1+) were enrolled in the study and completed at least one cycle of therapy. The most common adverse events (all grades) were diarrhea (n = 9; 100%), rash (n = 8; 89%), abdominal pain (n = 5; 56%), and elevated aspartate transaminase/alanine transaminase level (n = 4; 44%). The overall response rate was 22%, whereas disease control rate was 56%. Median duration of response was 7.85 months. The median progression-free survival was 3.0 months (95% confidence interval: 1.5-7.0 mo). The median overall survival was 8.9 months (95% confidence interval: 2.0-not reached).

Conclusions

Data from this trial indicate that the combination of ceritinib and trametinib had no unexpected toxicities and that a tolerable dose could be identified. A subset of patients seemed to obtain clinical benefit from this treatment after progression on prior ALK/ROS1 inhibitor treatment.ClinicalTrials.gov Identifier: NCT03087448.

AXL and Error-Prone DNA Replication Confer Drug Resistance and Offer Strategies to Treat EGFR-Mutant Lung Cancer

Anticancer therapies have been limited by the emergence of mutations and other adaptations. In bacteria, antibiotics activate the SOS response, which mobilizes error-prone factors that allow for continuous replication at the cost of mutagenesis. We investigated whether the treatment of lung cancer with EGFR inhibitors (EGFRi) similarly engages hypermutators. In cycling drug-tolerant persister (DTP) cells and in EGFRi-treated patients presenting residual disease, we observed upregulation of GAS6, whereas ablation of GAS6's receptor, AXL, eradicated resistance. Reciprocally, AXL overexpression enhanced DTP survival and accelerated the emergence of T790M, an EGFR mutation typical to resistant cells. Mechanistically, AXL induces low-fidelity DNA polymerases and activates their organizer, RAD18, by promoting neddylation. Metabolomics uncovered another hypermutator, AXL-driven activation of MYC, and increased purine synthesis that is unbalanced by pyrimidines. Aligning anti-AXL combination treatments with the transition from DTPs to resistant cells cured patient-derived xenografts. Hence, similar to bacteria, tumors tolerate therapy by engaging pharmacologically targetable endogenous mutators.

SIGNIFICANCE

EGFR-mutant lung cancers treated with kinase inhibitors often evolve resistance due to secondary mutations. We report that in similarity to the bacterial SOS response stimulated by antibiotics, endogenous mutators are activated in drug-treated cells, and this heralds tolerance. Blocking the process prevented resistance in xenograft models, which offers new treatment strategies. This article is highlighted in the In This Issue feature, p. 2483.

Primary and metastatic tumors exhibit systems-level differences in dependence on mitochondrial respiratory function

The Warburg effect, aerobic glycolysis, is a hallmark feature of cancer cells grown in culture. However, the relative roles of glycolysis and respiratory metabolism in supporting in vivo tumor growth and processes such as tumor dissemination and metastatic growth remain poorly understood, particularly on a systems level. Using a CRISPRi mini-library enriched for mitochondrial ribosomal protein and respiratory chain genes in multiple human lung cancer cell lines, we analyzed in vivo metabolic requirements in xenograft tumors grown in distinct anatomic contexts. While knockdown of mitochondrial ribosomal protein and respiratory chain genes (mito-respiratory genes) has little impact on growth in vitro, tumor cells depend heavily on these genes when grown in vivo as either flank or primary orthotopic lung tumor xenografts. In contrast, respiratory function is comparatively dispensable for metastatic tumor growth. RNA-Seq and metabolomics analysis of tumor cells expressing individual sgRNAs against mito-respiratory genes indicate overexpression of glycolytic genes and increased sensitivity of glycolytic inhibition compared to control when grown in vitro, but when grown in vivo as primary tumors these cells down-regulate glycolytic mechanisms. These studies demonstrate that discrete perturbations of mitochondrial respiratory chain function impact in vivo tumor growth in a context-specific manner with differential impacts on primary and metastatic tumors.

Abstract 3808: Spatially resolved transcriptomics of cellular architecture in EGFR-mutated lung cancer

Introduction: Single-cell RNA sequencing of dissociated tumors enables the profiling of cellular states in fine detail, but erases the cellular organization of the analyzed tissue. Spatially resolved transcriptomics (SRT) using 10X Genomics’ Visium platform combines histological staining and RNA sequencing by capturing each transcript across spatially barcoded microarrays. SRT yields gene-expression matrices resolved within 55-micron array spots, and creates opportunities to explore how lung biology is affected by lung adenocarcinoma and how tumor cells and the proximal microenvironment are modulated by targeted therapy.

Methods: SRT reactions (n=8) were performed on surgical specimens from human lung adenocarcinomas driven by kinase domain mutations of EGFR (exon 19 deletion, L858R point mutation, exon 20 insertion). SRT reactions analyzed primary lung cancer (n=5) or paired tumor-adjacent lung tissues (n=3).

Results: 28458 array spots were recorded across all samples, and array spots captured a median of 5800 total transcripts and a median of 2416 unique transcripts. Single marker gene expression and unsupervised clustering across array spots corresponded with histological annotations of lung structures and adenocarcinoma. Integration of single-cell RNA sequencing data from lung adenocarcinoma specimens permitted mapping and quantification of 15 major cell types, including cancer cells, T- and B- lymphocytes, macrophages, dendritic cells, fibroblasts, and endothelial cells. Compared with paired tumor-adjacent lung tissues, adenocarcinoma tissues contained fibroblast-enriched desmoplasia and B-cell enriched tertiary lymphoid structures. In a clinical case with resistance to Osimertinib, the standard tyrosine kinase inhibitor, gene signature analysis of cancer-containing array spots revealed enrichment of gap-junction, fatty acid metabolism, and kynurenine pathway signatures compared to treatment naïve array spots.

Conclusion: This pilot study demonstrates the feasibility of using SRT in lung adenocarcinoma. Paired with a single-cell atlas of lung adenocarcinoma during targeted therapy, this approach enables hypothesis-generation to investigate the alterations of tumor and tumor microenvironmental architecture in relation to targeted therapy.

Citation Format: Daniel L. Kerr, Wei Wu, Whitney Tamaki, Anatoly Urisman, Yu-Ting Chou, Philippe Gui, David M. Jablons, Trever G. Bivona, Collin M. Blakely. Spatially resolved transcriptomics of cellular architecture in EGFR-mutated lung cancer [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 3808.

Abstract 5354: 3-phosphoinositide-dependent kinase-1 (PDK1, PDPK1) is a driver of osimertinib acquired resistance in EGFR mutant NSCLC

Osimertinib, the only third-generation EGFR-TKI, showed incomplete responses to T790M-mutant NSCLC due to acquired resistance caused by activation of bypass pathways. We developed osimertinib-acquired resistant H1975-OSIR (T790M/L858R mutant) isogenic cells and TC386-OSIR isogenic PDXs. Neither H1975-OSIR nor TC386-OSIR PDXs developed additional mutations in EGFR. The H1975-OSIR clone showed 100 fold higher resistance to osimertinib compared with H1975 cells. TC386-OSIR PDX was developed through continuous in-vivo treatment for 8 months and the residual PDXs were passaged for several generations under continuous osimertinib treatment. TC386-OSIR fourth resistant generation (RG4) showed significantly higher resistance than initial generations (RG1). H1975-OSIR xenografts were developed in non-humanized and humanized NSG mice under osimertinib pressure. H1975-OsiR tumors were significantly less sensitive to osimertinib than their parental counterparts in both mouse models. Dose dependent antitumor activity of osimertinib (5mg/kg and 10mg/kg) was observed in H1975-parental tumors, whereas no treatment effect was observed for H1975-OsiR tumors with increasing doses. The tumor microenvironment was enriched with higher infiltration of tumor associated macrophages (TAM) and lower numbers of tumor infiltrating lymphocytes (TIL) in H1975-OSIR vs H1975 tumors. RPPA analysis of residual tumor tissues showed a distinct set of proteins upregulated in H1975-OsiR vs H1975-parental, among which PDK1 was the most upregulated. PDK1 was also significantly upregulated in H1975-OsiR tumors treated with osimertinib vs controls. PDK1 was not altered in any treatment groups in H1975-parental tumors. PDK1 and pPDK1 expression was many-fold higher in both H1975-OSIR cells and TC386-OSIR PDXs as compared to their parental counterparts by western blot and mass spec proteomics. Selective inhibition by the PDK inhibitor, BX 795, and CRISPR knock-out (KO) restored osimertinib sensitivity in resistant cells. Colony forming assays showed that the PDK1 KO clone was as sensitive as H1975-parental cells whereas a PDK overexpressing clone (OE) restored resistance. In-vivo inhibition of PDK1 by treating mice with BX-795 in both H1975-OSIR xenografts and TC386-OSIR PDXs significantly enhanced the antitumor activity of osimertinib. PDK1 KO dysregulated PI3K/Akt/mTOR signaling by downregulating Akt and mTOR phosphorylation and promoted cell cycle arrest at the G1 phase. NCI-H1975-OSIR and PDK1 OE cells showed a high level of nuclear localization of the activated Yes-associated protein pYAP(Y357). PDK1 KO cells significantly reduced nuclear localization of pYAP(Y357). The level of YAP and pYAP was upregulated in osimertinib resistant xenograft tumors and residual tumor biopsies. Taken together, we identified PDK1 as a drug able target to treat osimertinib acquired resistance.

Citation Format: Ismail M. Meraz, Mourad Majidi, Bingliang Fang, Feng Meng, Lihui Gao, RuPing Shao, Renduo Song, Feng Li, Min Jin Ha, Qi Wang, Jing Wang, Elizabeth Shpall, Sung Yun Jung, Franziska Haderk, Philippe Gui, Jonathan W. Riess, Victor Olivas, Trever G. Bivona, Jack A. Roth. 3-phosphoinositide-dependent kinase-1 (PDK1, PDPK1) is a driver of osimertinib acquired resistance in EGFR mutant NSCLC [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 5354.

Predicting patient treatment response and resistance via single-cell transcriptomics of their tumors

e20540

Background: Tailoring the best treatments to cancer patients is an important open challenge. Here, we build a precision oncology data science and software framework for PERsonalized single-Cell Expression-based Planning for Treatments In Oncology (PERCEPTION). Methods: Our approach capitalizes on recently published matched bulk and single-cell transcriptome profiles of large-scale cell-line drug screens to build treatment response models from patients’ single-cell (SC) tumor transcriptomics. Our approach is a two-step process: first, the prediction models are trained on large-scale bulk-expression profiles of cancer cell lines and then, in a second step, the models’ performance is further optimized by training on SC-expression profiles of cancer cell lines. Results: First, we show that PERCEPTION successfully predicts the response to monotherapy and combination treatments in screens performed in cancer and patient-tumor-derived primary cells based on SC-expression profiles. Second, it successfully stratifies responders to combination therapy based on the patients’ tumor’s SC-expression in two very recent multiple myeloma and breast cancer clinical trials. Thirdly, it captures the development of clinical resistance to five standard tyrosine kinase inhibitors using tumor SC-expression profiles obtained during treatment in a lung cancer patients’ cohort. Notably, PERCEPTION outperforms state-of-the-art bulk expression-based predictors in all three clinical cohorts. Conclusions: In sum, this study provides a first-of-its-kind conceptual and computational method that is predictive of response to therapy in patients, based on the clonal SC gene expression of their tumors.

Lineage tracing reveals the phylodynamics, plasticity, and paths of tumor evolution

Tumor evolution is driven by the progressive acquisition of genetic and epigenetic alterations that enable uncontrolled growth and expansion to neighboring and distal tissues. The study of phylogenetic relationships between cancer cells provides key insights into these processes. Here, we introduced an evolving lineage-tracing system with a single-cell RNA-seq readout into a mouse model of Kras;Trp53(KP)-driven lung adenocarcinoma and tracked tumor evolution from single-transformed cells to metastatic tumors at unprecedented resolution. We found that the loss of the initial, stable alveolar-type2-like state was accompanied by a transient increase in plasticity. This was followed by the adoption of distinct transcriptional programs that enable rapid expansion and, ultimately, clonal sweep of stable subclones capable of metastasizing. Finally, tumors develop through stereotypical evolutionary trajectories, and perturbing additional tumor suppressors accelerates progression by creating novel trajectories. Our study elucidates the hierarchical nature of tumor evolution and, more broadly, enables in-depth studies of tumor progression.

Deficiency of the splicing factor RBM10 limits EGFR inhibitor response in EGFR mutant lung cancer

Molecularly targeted cancer therapy has improved outcomes for patients with cancer with targetable oncoproteins, such as mutant EGFR in lung cancer. Yet, the long-term survival of these patients remains limited, because treatment responses are typically incomplete. One potential explanation for the lack of complete and durable responses is that oncogene-driven cancers with activating mutations of EGFR often harbor additional co-occurring genetic alterations. This hypothesis remains untested for most genetic alterations that co-occur with mutant EGFR. Here, we report the functional impact of inactivating genetic alterations of the mRNA splicing factor RNA-binding motif 10 (RBM10) that co-occur with mutant EGFR. RBM10 deficiency decreased EGFR inhibitor efficacy in patient-derived EGFR-mutant tumor models. RBM10 modulated mRNA alternative splicing of the mitochondrial apoptotic regulator Bcl-x to regulate tumor cell apoptosis during treatment. Genetic inactivation of RBM10 diminished EGFR inhibitor–mediated apoptosis by decreasing the ratio of (proapoptotic) Bcl-xS to (antiapoptotic) Bcl-xL isoforms of Bcl-x. RBM10 deficiency was a biomarker of poor response to EGFR inhibitor treatment in clinical samples. Coinhibition of Bcl-xL and mutant EGFR overcame the resistance induced by RBM10 deficiency. This study sheds light on the role of co-occurring genetic alterations and on the effect of splicing factor deficiency on the modulation of sensitivity to targeted kinase inhibitor cancer therapy.

Understanding Drug Sensitivity and Tackling Resistance in Cancer

Decades of research into the molecular mechanisms of cancer and the development of novel therapeutics have yielded a number of remarkable successes. However, our ability to broadly assign effective, rationally targeted therapies in a personalized manner remains elusive for many patients, and drug resistance persists as a major problem. This is in part due to the well-documented heterogeneity of cancer, including the diversity of tumor cell lineages and cell states, the spectrum of somatic mutations, the complexity of microenvironments, and immune-suppressive features and immune repertoires, which collectively require numerous different therapeutic approaches. Here, we describe a framework to understand the types and biological causes of resistance, providing translational opportunities to tackle drug resistance by rational therapeutic strategies.

Small-molecule targeted therapies induce dependence on DNA double-strand break repair in residual tumor cells

Residual cancer cells that survive drug treatments with targeted therapies act as a reservoir from which eventual resistant disease emerges. Although there is great interest in therapeutically targeting residual cells, efforts are hampered by our limited knowledge of the vulnerabilities existing in this cell state. Here, we report that diverse oncogene-targeted therapies, including inhibitors of epidermal growth factor receptor (EGFR), anaplastic lymphoma kinase (ALK), KRAS, and BRAF, induce DNA double-strand breaks and, consequently, ataxia-telangiectasia mutated (ATM)-dependent DNA repair in oncogene-matched residual tumor cells. This DNA damage response, observed in cell lines, mouse xenograft models, and human patients, is driven by a pathway involving the activation of caspases 3 and 7 and the downstream caspase-activated deoxyribonuclease (CAD). CAD is, in turn, activated through caspase-mediated degradation of its endogenous inhibitor, ICAD. In models of EGFR mutant non-small cell lung cancer (NSCLC), tumor cells that survive treatment with small-molecule EGFR-targeted therapies are thus synthetically dependent on ATM, and combined treatment with an ATM kinase inhibitor eradicates these cells in vivo. This led to more penetrant and durable responses in EGFR mutant NSCLC mouse xenograft models, including those derived from both established cell lines and patient tumors. Last, we found that rare patients with EGFR mutant NSCLC harboring co-occurring, loss-of-function mutations in ATM exhibit extended progression-free survival on first generation EGFR inhibitor therapy relative to patients with EGFR mutant NSCLC lacking deleterious ATM mutations. Together, these findings establish a rationale for the mechanism-based integration of ATM inhibitors alongside existing targeted therapies.

Remodeling of the tumor/tumor microenvironment ecosystem during KRAS G12C inhibitor clinical resistance in lung cancer

KRAS G12C inhibitors such as sotorasib and adagrasib are often effective in KRAS G12C–driven non–small cell lung cancer (NSCLC) patients. However, acquired resistance limits long-term patient survival. In this issue of the JCI, Tsai et al. present a comprehensive genetic analysis of multiple tumors with acquired sotorasib resistance obtained through an autopsy of a patient with KRAS G12C–mutant NSCLC. This analysis of pre- and posttreatment tumors uncovered cancer cell–intrinsic and –extrinsic features of resistance, including reactivation of KRAS-mediated signaling, reprogramming of metabolism, epithelial-mesenchymal transition, and tumor microenvironment changes. This elegant study demonstrates the multifaceted nature of KRAS G12C inhibitor clinical resistance and potential avenues to overcome resistance.

Inhibition of SHP2 as an approach to block RAS-driven cancers

The non-receptor protein tyrosine phosphatase SHP2 (encoded by PTPN11) is a critical component of RAS/MAPK signaling by acting upstream of RAS to promote oncogenic signaling and tumor growth. Over three decades, SHP2 was considered "undruggable" because enzymatic active-site inhibitors generally showed off-target inhibition of other proteins and low membrane permeability. More recently, allosteric SHP2 inhibitors with striking inhibitory potency have been developed. These small molecules effectively block the signal transduction between receptor tyrosine kinases (RTKs) and RAS/MAPK signaling and show efficacy in preclinical cancer models. Moreover, clinical evaluation of these allosteric SHP2 inhibitors is ongoing. RAS proteins which harbor transforming properties by gain-of-function mutations are present in various cancer types. While inhibitors of KRASG12C show early clinical promise, resistance remains a challenge and other forms of oncogenic RAS remain to be selectively inhibited. Here, we summarize the role of SHP2 in RAS-driven cancers and the therapeutic potential of allosteric SHP2 inhibitors as a strategy to block RAS-driven cancers.

Digital multiplexed analysis of circular RNAs in FFPE and fresh non‐small cell lung cancer specimens

Although many studies highlight the implication of circular RNAs (circRNAs) in carcinogenesis and tumor progression, their potential as cancer biomarkers has not yet been fully explored in the clinic due to the limitations of current quantification methods. Here, we report the use of the nCounter platform as a valid technology for the analysis of circRNA expression patterns in non‐small cell lung cancer (NSCLC) specimens. Under this context, our custom‐made circRNA panel was able to detect circRNA expression both in NSCLC cells and formalin‐fixed paraffin‐embedded (FFPE) tissues. CircFUT8 was overexpressed in NSCLC, contrasting with circEPB41L2, circBNC2, and circSOX13 downregulation even at the early stages of the disease. Machine learning (ML) approaches from different paradigms allowed discrimination of NSCLC from nontumor controls (NTCs) with an 8‐circRNA signature. An additional 4‐circRNA signature was able to classify early‐stage NSCLC samples from NTC, reaching a maximum area under the ROC curve (AUC) of 0.981. Our results not only present two circRNA signatures with diagnosis potential but also introduce nCounter processing following ML as a feasible protocol for the study and development of circRNA signatures for NSCLC.

Evolution of metastasis: new tools and insights

Metastasis is an evolutionary process occurring across multiple organs and timescales. Due to its continuous and dynamic nature, this multifaceted process has been challenging to investigate and remains incompletely understood, in part due to the lack of tools capable of probing genomic evolution at high enough resolution. However, technological advances in genetic sequencing and editing have provided new and powerful methods to refine our understanding of the complex series of events that lead to metastatic dissemination. In this review, we summarize the latest genetic and lineage-tracing approaches developed to unravel the genetic evolution of metastasis. The findings that have emerged have enhanced our comprehension of the mechanistic trajectories and timescales of metastasis and could provide new strategies for therapy.

Profiling Sensitivity to Targeted Therapies in EGFR-Mutant NSCLC Patient-Derived Organoids

Novel 3D cancer organoid cultures derived from clinical patient specimens represent an important model system to evaluate intratumor heterogeneity and treatment response to targeted inhibitors in cancer. Pioneering work in gastrointestinal and pancreatic cancers has highlighted the promise of patient-derived organoids (PDOs) as a patient-proximate culture system, with an increasing number of models emerging. Similarly, work in other cancer types has focused on establishing organoid models and optimizing culture protocols. Notably, 3D cancer organoid models maintain the genetic complexity of original tumor specimens and thus translate tumor-derived sequencing data into treatment with genetically informed targeted therapies in an experimental setting. Further, PDOs might foster the evaluation of rational combination treatments to overcome resistance-associated adaptation of tumors in the future. The latter focuses on intense research efforts in non-small-cell lung cancer (NSCLC), as resistance development ultimately limits the treatment success of targeted inhibitors. An early assessment of therapeutically targetable mechanisms using NSCLC PDOs could help inform rational combination treatments. This manuscript describes a standardized protocol for the cell culture plate-based assessment of drug sensitivities to targeted inhibitors in NSCLC-derived 3D PDOs, with potential adaptability to combinational treatments and other treatment modalities.

DDX56 modulates post-transcriptional Wnt signaling through miRNAs and is associated with early recurrence in squamous cell lung carcinoma

BACKGROUND

Early recurrence is a major obstacle to prolonged postoperative survival in squamous cell lung carcinoma (SqCLC). The molecular mechanisms underlying early SqCLC recurrence remain unclear, and effective prognostic biomarkers for predicting early recurrence are needed.

METHODS

We analyzed primary tumor samples of 20 SqCLC patients using quantitative proteomics to identify differentially-expressed proteins in patients who experienced early versus late disease recurrence. The expression and prognostic significance of DDX56 was evaluated using a SqCLC tumor tissue microarray and further verified using different online databases. We performed in vitro and in vivo experiments to obtain detailed molecular insight into the functional role of DDX56 in SqCLC.

RESULTS

We found that DDX56 exhibited increased expression in tumors of patients who experienced early versus late disease recurrence. Increased DDX56 expression in SqCLC tumors was subsequently confirmed as an independent prognostic factor of poor recurrence-free survival in independent SqCLC cohorts. Functionally, DDX56 promotes SqCLC cell growth and migration in vitro, and xenograft tumor progression in vivo. Mechanistically, DDX56 post-transcriptionally promotes expression of multiple Wnt signaling pathway-related genes, including CTNNB1, WNT2B, and represses a subset of miRNAs, including miR-378a-3p, a known suppressor of Wnt signaling. Detailed analysis revealed that DDX56 facilitated degradation of primary miR-378a, leading to down-regulation of mature miR-378a-3p and thus derepression of the target gene WNT2B.

CONCLUSION

We identified DDX56 as a novel independent prognostic biomarker that exerts its oncogenic effects through miRNA-mediated post-transcriptional regulation of Wnt signaling genes to promote early SqCLC recurrence. DDX56 may assist in identifying SqCLC patients at increased risk of early recurrence and who could benefit from Wnt signaling-targeted therapies.

Targeting AXL in NSCLC

State-of-the-art cancer precision medicine approaches involve targeted inactivation of chemically and immunologically addressable vulnerabilities that often yield impressive initial anti-tumor responses in patients. Nonetheless, these responses are overshadowed by therapy resistance that follows. AXL, a receptor tyrosine kinase with bona fide oncogenic capacity, has been associated with the emergence of resistance in an array of cancers with varying pathophysiology and cellular origins, including in non-small-cell lung cancers (NSCLCs). Here in this review, we summarize AXL biology during normal homeostasis, oncogenic development and therapy resistance with a focus on NSCLC. In the context of NSCLC therapy resistance, we delineate AXL's role in mediating resistance to tyrosine kinase inhibitors (TKIs) deployed against epidermal growth factor receptor (EGFR) as well as other notable oncogenes and to chemotherapeutics. We also discuss the current understanding of AXL's role in mediating cell-biological variables that function as important modifiers of therapy resistance such as epithelial to mesenchymal transition (EMT), the tumor microenvironment and tumor heterogeneity. We also catalog and discuss a set of effective pharmacologic tools that are emerging to strategically perturb AXL mediated resistance programs in NSCLC. Finally, we enumerate ongoing and future exciting precision medicine approaches targeting AXL as well as challenges in this regard. We highlight that a holistic understanding of AXL biology in NSCLC may allow us to predict and improve targeted therapeutic strategies, such as through polytherapy approaches, potentially against a broad spectrum of NSCLC sub-types to forestall tumor evolution and drug resistance.

Exocyst protein subnetworks integrate Hippo and mTOR signaling to promote virus detection and cancer

The exocyst is an evolutionarily conserved protein complex that regulates vesicular trafficking and scaffolds signal transduction. Key upstream components of the exocyst include monomeric RAL GTPases, which help mount cell-autonomous responses to trophic and immunogenic signals. Here, we present a quantitative proteomics-based characterization of dynamic and signal-dependent exocyst protein interactomes. Under viral infection, an Exo84 exocyst subcomplex assembles the immune kinase Protein Kinase R (PKR) together with the Hippo kinase Macrophage Stimulating 1 (MST1). PKR phosphorylates MST1 to activate Hippo signaling and inactivate Yes Associated Protein 1 (YAP1). By contrast, a Sec5 exocyst subcomplex recruits another immune kinase, TANK binding kinase 1 (TBK1), which interacted with and activated mammalian target of rapamycin (mTOR). RALB was necessary and sufficient for induction of Hippo and mTOR signaling through parallel exocyst subcomplex engagement, supporting the cellular response to virus infection and oncogenic signaling. This study highlights RALB-exocyst signaling subcomplexes as mechanisms for the integrated engagement of Hippo and mTOR signaling in cells challenged by viral pathogens or oncogenic signaling.

Stepwise evolution of therapy resistance in AML

Relapse of AML patients to FLT3i treatment is the result of a long-term and stepwise process leading to resistance, whereby residual cancer cells initially survive and subsequently expand. Here, Joshi et al. use a multifaceted approach to characterize how microenvironment-driven early resistance to gilteritinib evolves into mutation-driven late resistance.

Abstract 2753: Deciphering macrophage function in lung tumor microenvironment and disease progression

Introduction: Lung cancer is the leading cause of cancer-related mortality, with non-small cell lung cancer (NSCLC) as the most common form. Targeting the immune system with immune checkpoint inhibitors has transformed NSCLC treatment, highlighting the crucial contribution of immune cells and the tumor microenvironment (TME) to NSCLC initiation and progression. However, oncogenic-driven cancers treated with targeted molecular therapies have not benefited from immunotherapy, suggesting that other mechanisms of disease progression and resistance are involved. Macrophages in the lung TME are associated with disease outcomes but their exact role in tumor progression and resistance is less well understood. Characterizing their function using high-resolution methods, such as single cell RNA sequencing (scRNAseq), has the potential to identify mechanisms by which macrophages promote lung cancer progression and drug resistance.

Methods: We performed scRNAseq analyses on individual human NSCLC tumor biopsies collected at different treatment states. Samples were obtained from patients before initiating systemic targeted therapy (treatment-naïve, TN), at the residual disease state, which includes samples taken at any time during treatment with targeted therapy while the tumor was regressing or at a stable state by standard clinical imaging (residual disease, RD), and upon the subsequent and clear progressive disease, as determined by standard clinical imaging, at which point the tumors had establishment of acquired drug resistance (progressive disease, PD). Samples were primarily EGFR-, BRAF-, and ALK-driven tumors. Macrophages from lung tumor biopsies were identified and annotated using SingleR, which is a computational method for unbiased cell type recognition of scRNAseq, and then characterized.

Results: We identified 678 macrophages that clustered into 7 distinct groups (Figure 1A). Clusters MF0, MF1, MF3, and MF5 had significant differences across treatment time points. Cluster MF0 had significantly less RD cells and was characterized by expression of genes associated with neutrophil and leukocyte recruitment. Cluster MF5 had significantly more PD cells and was characterized by expression of genes associated with T-cell activation (Figures 1B and 1C).

Conclusion: We annotated macrophages in the lung TME using scRNAseq and characterized macrophage changes across different treatment states. Our findings suggest there are less macrophages recruiting neutrophils and leukocytes in RD compared to TN and PD, and more T-cell activating macrophages in PD compared to TN and RD, which could have potential therapeutic and prognostic implications.

Citation Format: Elizabeth A. Yu, Wei Wu, Philippe Gui, Caroline E. McCoach, Collin M. Blakely, Stephanie A. Christenson, Trever G. Bivona. Deciphering macrophage function in lung tumor microenvironment and disease progression [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 2753.

Targeted ctDNA sequencing analysis reveals concurrent genomic alterations and its impact on TKI and immune checkpoint inhibitor therapy in advanced NSCLC from Asian population

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Background: For advanced non-small cell lung cancer (NSCLC), liquid biopsy followed by targeted DNA sequencing is used in the clinical setting for driver-gene identification in circulating tumor DNA (ctDNA), tumor evolution and treatment monitoring. To understand the complexity and diversity of genetic alterations in advanced NSCLC, we examined the genetic landscape of late-stage NSCLC from an Asian population and its association with tyrosine kinase inhibitor (TKI) or immune checkpoint inhibitor (ICI) treatment. Methods: Plasma cell-free DNA (cfDNA) from 142 Asian patients with advanced NSCLC underwent real-world testing in a CAP-accredited and CLIA-certified central laboratory. We analyzed genetic alterations in cfDNA using an amplicon-based next-generation sequencing assay that covers 61 NSCLC related genes. 88 patients (62%) had received one or more lines of treatment. A similar cohort from Caucasian NSCLC was used for comparison (Blakely et al. Nat Genet 2017). Systematic co-mutation analysis, functional annotation and pathway enrichment analysis were performed. Results: The top 10 mutated genes in the Asian cohort were EGFR (66.2%), TP53 (48.6%), KRAS (11.3%), BRCA2 (7%), CTNNB1 (6.3%), PIK3CA (6.3%), SMAD4 (5.6%), BRCA1 (4.9%), MET (3.5%) and RB1 (3.5%). EGFR mutations occurred at hotspots in exons 18 – 21, with exon19 deletion, L858R, T790M, C797S, and G719A being the top-ranking alleles, similar to the Caucasian NSCLC cohort. Concurrent KRAS and EGFR mutations were higher in Asian cohort (8.5%) than in Caucasian cohort (0.56%). A rare PD-L1 structural variant (1.1%), reported to be related to immune evasion in other cancers (Kataoka et al. Nature 2016), was detected in the EGFR-mutated subgroup. Within the first line TKI-treated group, responders (CR+PR) harbored more alterations than non-responders (p < 0.017). Among ICI-treated NSCLC patients (anti-PD-1/PD-L1 mono- or polytherapy), responders from 1st line or 2nd line ICI treatment harbored fewer mutations than non-responders, but the distribution of mutational allele frequency (MAF) in responders was shifted to the right (more clonal than subclonal mutations). Functional annotation suggests that concurrent mutated genes and copy number alterations in advanced EGFR-mutant NSCLC were enriched in cell cycle, DNA repair, PI3K-AKT signaling pathways. Conclusions: We characterized the ctDNA-derived genetic landscape of advanced NSCLC from an Asian population and dissected mutated genes with the outcome of TKI or ICI treatment. We also report a rare PD-L1 structural variant in the EGFR mutated subgroup, which could be associated with immune evasion. Our analyses support the occurrence of clonal and subclonal driver co-alterations in EGFR-driven NSCLC, underlining the clinical utility of ctDNA detection for NSCLC diagnosis and treatment selection.

Kinase-mediated RAS signaling via membraneless cytoplasmic protein granules

Receptor tyrosine kinase (RTK)-mediated activation of downstream effector pathways such as the RAS GTPase/MAP kinase (MAPK) signaling cascade is thought to occur exclusively from lipid membrane compartments in mammalian cells. Here, we uncover a membraneless, protein granule-based subcellular structure that can organize RTK/RAS/MAPK signaling in cancer. Chimeric (fusion) oncoproteins involving certain RTKs including ALK and RET undergo de novo higher-order assembly into membraneless cytoplasmic protein granules that actively signal. These pathogenic biomolecular condensates locally concentrate the RAS activating complex GRB2/SOS1 and activate RAS in a lipid membrane-independent manner. RTK protein granule formation is critical for oncogenic RAS/MAPK signaling output in these cells. We identify a set of protein granule components and establish structural rules that define the formation of membraneless protein granules by RTK oncoproteins. Our findings reveal membraneless, higher-order cytoplasmic protein assembly as a distinct subcellular platform for organizing oncogenic RTK and RAS signaling.

Betacellulin drives therapy resistance in glioblastoma

BACKGROUND

The transcription factor signal transducer and activator of transcription 3 (STAT3) drives progression in glioblastoma (GBM), suggesting STAT3 as a therapeutic target. Surprisingly however, GBM cells generally show primary resistance to STAT3 blockade.

METHODS

Human glioblastoma cell lines LN229, U87, SF767, and U373, and patient-derived xenografts (PDXs) GBM8 and GBM43 were used to evaluate epidermal growth factor receptor (EGFR) activation during STAT3 inhibition. Protein and gene expression experiments, protein stability assays, cytokine arrays, phospho-tyrosine arrays and EGFR-ligand protein arrays were performed on STAT3 inhibitor-treated cells. To evaluate antitumor activity, we administered a betacellulin (BTC)-neutralizing antibody alone and in combination with STAT3 inhibition. BTC is an EGFR ligand. We therefore treated mice with orthotopic xenografts using the third-generation EGFR inhibitor osimertinib, with or without STAT3 knockdown.

RESULTS

We demonstrate that both small-molecule inhibitors and knockdown of STAT3 led to expression and secretion of the EGFR ligand BTC, resulting in activation of EGFR and subsequent downstream phosphorylation of nuclear factor-kappaB (NF-κB). Neutralizing antibody against BTC abrogated activation of both EGFR and NF-κB in response to inhibition of STAT3; with combinatorial blockade of STAT3 and BTC inducing apoptosis in GBM cells. Blocking EGFR and STAT3 together inhibited tumor growth, improving survival in mice bearing orthotopic GBM PDXs in vivo.

CONCLUSION

These data reveal a feedback loop among STAT3, EGFR, and NF-κB that mediates primary resistance to STAT3 blockade and suggest strategies for therapeutic intervention.

Single-cell lineages reveal the rates, routes, and drivers of metastasis in cancer xenografts

Detailed phylogenies of tumor populations can recount the history and chronology of critical events during cancer progression, such as metastatic dissemination. We applied a Cas9-based, single-cell lineage tracer to study the rates, routes, and drivers of metastasis in a lung cancer xenograft mouse model. We report deeply resolved phylogenies for tens of thousands of cancer cells traced over months of growth and dissemination. This revealed stark heterogeneity in metastatic capacity, arising from preexisting and heritable differences in gene expression. We demonstrate that these identified genes can drive invasiveness and uncovered an unanticipated suppressive role for KRT17 We also show that metastases disseminated via multidirectional tissue routes and complex seeding topologies. Overall, we demonstrate the power of tracing cancer progression at subclonal resolution and vast scale.

Allosteric SHP2 inhibitors in cancer: Targeting the intersection of RAS, resistance, and the immune microenvironment

The nonreceptor protein tyrosine phosphatase SHP2 (encoded by PTPN11) integrates growth and differentiation signals from receptor tyrosine kinases (RTKs) into the RAS/mitogen-activated protein kinase (MAPK) cascade. Considered 'undruggable' over three decades, SHP2 is now a potentially druggable target with the advent of allosteric SHP2 inhibitors. These agents hold promise for improving patient outcomes, showing efficacy in preclinical cancer models, where SHP2 is critical for either oncogenic signaling or resistance to current targeted agents. SHP2 inhibition may also produce immunomodulatory effects in certain tumor microenvironment cells to help cultivate antitumor immune responses. The first generation of allosteric SHP2 inhibitors is under clinical evaluation to determine safety, appropriate tolerability management, and antitumor efficacy, investigations that will dictate future clinical applications.

Functional screening identifies aryl hydrocarbon receptor as suppressor of lung cancer metastasis

Lung cancer mortality largely results from metastasis. Despite curative surgery many patients with early-stage non-small cell lung cancer ultimately succumb to metastatic relapse. Current risk reduction strategies based on cytotoxic chemotherapy and radiation have only modest activity. Against this background, we functionally screened for novel metastasis modulators using a barcoded shRNA library and an orthotopic lung cancer model. We identified aryl hydrocarbon receptor (AHR), a sensor of xenobiotic chemicals and transcription factor, as suppressor of lung cancer metastasis. Knockdown of endogenous AHR induces epithelial–mesenchymal transition signatures, increases invasiveness of lung cancer cells in vitro and metastasis formation in vivo. Low intratumoral AHR expression associates with inferior outcome of patients with resected lung adenocarcinomas. Mechanistically, AHR triggers ATF4 signaling and represses matrix metalloproteinase activity, both counteracting metastatic programs. These findings link the xenobiotic defense system with control of lung cancer progression. AHR-regulated pathways are promising targets for innovative anti-metastatic strategies.

Long non-coding RNA ESCCAL-1 promotes esophageal squamous cell carcinoma by down regulating the negative regulator of APOBEC3G

The expression of lncRNA ESCCAL-1 is upregulated in esophageal squamous cell carcinoma (ESCC). However, the molecular pathways regulated by ESCCAL-1 in esophageal cancer remain obscure. We found that high expression of the lncRNA ESCCAL-1 in human ESCC tumors correlated with worse clinicopathologic features. Furthermore, depletion of ESCCAL-1 in ESCC models inhibited the cellular processes associated with malignancy, including proliferation, migration and invasion, resistance to apoptosis, and impaired tumor growth in mice. Using a combinatorial approach, we discovered that ESCCAL-1 regulates malignant phenotypes in ESCC by acting as a molecular sponge for miR-590-3p. This interaction prevents miR-590-3p from suppressing APOBEC3G expression. Increased APOBEC3G was also a biomarker of worse clinicopathologic features in human ESCC tumors. Depletion of ESSCAL-1 or APOBEC3G, or overexpression of miR-590-3p resulted in increased apoptosis due to downregulation of the PI3K/Akt signaling. This study demonstrates that the lncRNA ESCCAL-1 promotes malignant features of ESCC by relieving the inhibitory effect of miR-590-3p on APOBEC3G expression and identifies potential biomarkers or therapeutic targets to improve ESCC treatment outcomes.

Multi-faceted epigenetic dysregulation of gene expression promotes esophageal squamous cell carcinoma

Epigenetic landscapes can shape physiologic and disease phenotypes. We used integrative, high resolution multi-omics methods to delineate the methylome landscape and characterize the oncogenic drivers of esophageal squamous cell carcinoma (ESCC). We found 98% of CpGs are hypomethylated across the ESCC genome. Hypo-methylated regions are enriched in areas with heterochromatin binding markers (H3K9me3, H3K27me3), while hyper-methylated regions are enriched in polycomb repressive complex (EZH2/SUZ12) recognizing regions. Altered methylation in promoters, enhancers, and gene bodies, as well as in polycomb repressive complex occupancy and CTCF binding sites are associated with cancer-specific gene dysregulation. Epigenetic-mediated activation of non-canonical WNT/β-catenin/MMP signaling and a YY1/lncRNA ESCCAL-1/ribosomal protein network are uncovered and validated as potential novel ESCC driver alterations. This study advances our understanding of how epigenetic landscapes shape cancer pathogenesis and provides a resource for biomarker and target discovery.

Molecular Landscape of BRAF-Mutant NSCLC Reveals an Association Between Clonality and Driver Mutations and Identifies Targetable Non-V600 Driver Mutations

INTRODUCTION

Approximately 4% of NSCLC harbor BRAF mutations, and approximately 50% of these are non-V600 mutations. Treatment of tumors harboring non-V600 mutations is challenging because of functional heterogeneity and lack of knowledge regarding their clinical significance and response to targeted agents.

METHODS

We conducted an integrative analysis of BRAF non-V600 mutations using genomic profiles of BRAF-mutant NSCLC from the Guardant360 database. BRAF mutations were categorized by clonality and class (1 and 2: RAS-independent; 3: RAS-dependent). Cell viability assays were performed in Ba/F3 models. Drug screens were performed in NSCLC cell lines.

RESULTS

A total of 305 unique BRAF mutations were identified. Missense mutations were most common (276, 90%), and 45% were variants of unknown significance. F468S and N581Y were identified as novel activating mutations. Class 1 to 3 mutations had higher clonality than mutations of unknown class (p < 0.01). Three patients were treated with MEK with or without BRAF inhibitors. Patients harboring G469V and D594G mutations did not respond, whereas a patient with the L597R mutation had a durable response. Trametinib with or without dabrafenib, LXH254, and lifirafenib had more potent inhibition of BRAF non-V600-mutant NSCLC cell lines than other MEK, BRAF, and ERK inhibitors, comparable with the inhibition of BRAF V600E cell line.

CONCLUSIONS

In BRAF-mutant NSCLC, clonality is higher in known functional mutations and may allow identification of variants of unknown significance that are more likely to be oncogenic drivers. Our data indicate that certain non-V600 mutations are responsive to MEK and BRAF inhibitors. This integration of genomic profiling and drug sensitivity may guide the treatment for BRAF-mutant NSCLC.

Targeted DNA sequencing analysis to reveal genetic diversity and androgen-receptor alteration in advanced EGFR mutant lung adenocarcinoma

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Background: Lung cancer remains the leading cause of death from cancer around the world. Several oncogenic drivers have been identified from large cancer genome projects focused mainly on profiling early-stage lung cancers. Targeted therapies have been developed for specific activated driver gene mutations and are used in advanced-stage patients. For instance, advanced EGFR mutant lung cancer is primarily treated with EGFR tyrosine receptor inhibitors (TKIs). However, resistance remains an obstacle to durable anti-tumor control. We hypothesize that concurrent genetic alterations co-exiting with EGFR driver mutations contribute to the failure of EGFR TKI therapy. Methods: To understand the complexity and diversity of genetic alterations present in EGFR mutant advanced lung cancers, we utilized 660 EGFR mutant advanced lung adenocarcinomas samples with targeted DNA sequencing from Foundation Medicine, 394 cases from MSK-IMPACT dataset, along with TCGA lung cancer data. We performed systematic co-mutation analysis, molecular simulation, functional annotation and pathway enrichment analysis. Results: We updated mutational profiling on EGFR gene with hotspots at exon 18, 19, 20 and 21. Among them, EGFR L858R, exon19 deletion, T790M and G719A are top ranking alleles among EGFR mutations. Interestingly, a subset (n = 26 cases) of EGFR T790M mutations parallel with other EGFR mutations, which could affect the TKI binding pocket as inferred by molecular simulations. Furthermore, in advanced lung cancer EGFR mutations co-occurred with known oncogenic mutations in KRAS, MET, NF-1, MAP2K1, ERBB2, and ALK/ROS-1/RET fusions. Functional annotation suggests that concurrent mutated genes and copy number alterations in advanced EGFR mutant lung cancer were enriched in signatures of epigenetic modifiers, genome instability, WNT signaling, and RNA splicing. Compared to early stage TCGA-lung adenocarcinomas, Cell cycle, DNA repair, WNT signaling and androgen receptor-mediated signaling pathways are predominantly altered in advanced EGFR mutant lung cancers. Conclusions: We characterized the genetic landscape of advanced EGFR-mutant lung adenocarcinomas and further dissected concurrent mutated genes with EGFR driver mutations. Our findings provide a rational for polytherapy roadmap for testing in advanced EGFR-mutant lung cancer.

Characterization of the tumor microenvironment landscape and deep learning-guided prediction of prognosis in lung adenocarcinoma with bulk RNA sequencing data

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Background: The tumor microenvironment (TME) plays an important role in tumor progression and treatment response, therefore profoundly affecting patient outcomes. Efforts to characterize the TME in lung adenocarcinoma are emerging but have been limited by the sample size and lack of treatment timepoints. Methods: We characterized changes in lung TME using the xCell algorithm to distinguish 64 immune and stroma cell types from bulk RNA sequencing data. The correlation between subtype cell population in lung TME and various clinical and biological characteristics was analyzed from over 500 lung adenocarcinoma (LUAD) samples from The Cancer Genome Atlas and an independent cohort of 48 advanced LUAD patients with treatment annotations (treatment-naive, residual disease, and progressive disease). In addition, we used key features in lung TME to predict prognosis using deep learning algorithms. Results: We found significant changes in both immune and stroma cell populations according to various clinical parameters such as smoking history, cancer stage, and treatment status. Specific sub-populations within lung TME correlate with survival outcomes based on Kaplan-Meier survival analyses. CD4- and CD8-positive T-cells are enriched in early stage disease and depleted in late stage disease, suggesting evolution of the TME during cancer progression. Consistent with previous reports, scores of immune cell populations associated with worse survival, such as T helper type 2 cells, are increased in late stage disease. Smoking history also reshapes the lung TME as populations correlated with better survival are decreased in smokers. We also found variations in sub-populations according to the driver oncogenes, with a less abundant lymphoid compartment in EGFR mutant samples compared to KRAS driven samples. Interestingly, we found higher scores of macrophage populations in residual disease following targeted-therapy treatment compared to pre-treatment. Finally, using machine and deep learning methods we identified a panel of 12 key features within the lung TME which could be used to predict prognosis. Conclusions: We comprehensively characterized immune and stroma cell type changes in the lung TME utilizing bulk RNA-seq data, and evaluated the association of sub-type cell populations with different clinical and biological features. Key features in lung TME could be used to predict prognosis.

Acquired Resistance in Lung Cancer

The last decade has witnessed a transformation in the treatment of advanced-stage lung cancer from a largely palliative approach to one where long-term durable remissions and even cures might be within reach. In this review, we discuss the current state of oncogene-directed precision medicine therapies in lung cancer and focus on the major cause of mortality for lung cancer patients: acquired resistance. We consider the multifaceted resistance mechanisms tumors utilize, often simultaneously. We then present areas for future scientific and clinical investigation with an emphasis on population dynamics, early detection, combinatorial therapies targeting resistance mechanisms, and understanding the drug-tolerant persister state.

AXL Targeting Abrogates Autophagic Flux and Induces Immunogenic Cell Death in Drug-Resistant Cancer Cells

INTRODUCTION

Acquired cancer therapy resistance evolves under selection pressure of immune surveillance and favors mechanisms that promote drug resistance through cell survival and immune evasion. AXL receptor tyrosine kinase is a mediator of cancer cell phenotypic plasticity and suppression of tumor immunity, and AXL expression is associated with drug resistance and diminished long-term survival in a wide range of malignancies, including NSCLC.

METHODS

We aimed to investigate the mechanisms underlying AXL-mediated acquired resistance to first- and third-generation small molecule EGFR tyrosine kinase inhibitors (EGFRi) in NSCLC.

RESULTS

We found that EGFRi resistance was mediated by up-regulation of AXL, and targeting AXL reduced reactivation of the MAPK pathway and blocked onset of acquired resistance to long-term EGFRi treatment in vivo. AXL-expressing EGFRi-resistant cells revealed phenotypic and cell signaling heterogeneity incompatible with a simple bypass signaling mechanism, and were characterized by an increased autophagic flux. AXL kinase inhibition by the small molecule inhibitor bemcentinib or siRNA mediated AXL gene silencing was reported to inhibit the autophagic flux in vitro, bemcentinib treatment blocked clonogenicity and induced immunogenic cell death in drug-resistant NSCLC in vitro, and abrogated the transcription of autophagy-associated genes in vivo. Furthermore, we found a positive correlation between AXL expression and autophagy-associated gene signatures in a large cohort of human NSCLC (n = 1018).

CONCLUSION

Our results indicate that AXL signaling supports a drug-resistant persister cell phenotype through a novel autophagy-dependent mechanism and reveals a unique immunogenic effect of AXL inhibition on drug-resistant NSCLC cells.

Overcoming the challenges of cancer drug resistance through bacterial-mediated therapy

Despite tremendous efforts to fight cancer, it remains a major public health problem and a leading cause of death worldwide. With increased knowledge of cancer pathways and improved technological platforms, precision therapeutics that specifically target aberrant cancer pathways have improved patient outcomes. Nevertheless, a primary cause of unsuccessful cancer therapy remains cancer drug resistance. In this review, we summarize the broad classes of resistance to cancer therapy, particularly pharmacokinetics, the tumor microenvironment, and drug resistance mechanisms. Furthermore, we describe how bacterial-mediated cancer therapy, a bygone mode of treatment, has been revitalized by synthetic biology and is uniquely suited to address the primary resistance mechanisms that confound traditional therapies. Through genetic engineering, we discuss how bacteria can be potent anticancer agents given their tumor targeting potential, anti-tumor activity, safety, and coordinated delivery of anti-cancer drugs.

Co-occurring Alterations in the RAS-MAPK Pathway Limit Response to MET Inhibitor Treatment in MET Exon 14 Skipping Mutation-Positive Lung Cancer

PURPOSE

Although patients with advanced-stage non-small cell lung cancers (NSCLC) harboring MET exon 14 skipping mutations (METex14) often benefit from MET tyrosine kinase inhibitor (TKI) treatment, clinical benefit is limited by primary and acquired drug resistance. The molecular basis for this resistance remains incompletely understood.

EXPERIMENTAL DESIGN

Targeted sequencing analysis was performed on cell-free circulating tumor DNA obtained from 289 patients with advanced-stage METex14-mutated NSCLC.

RESULTS

Prominent co-occurring RAS-MAPK pathway gene alterations (e.g., in KRAS, NF1) were detected in NSCLCs with METex14 skipping alterations as compared with EGFR-mutated NSCLCs. There was an association between decreased MET TKI treatment response and RAS-MAPK pathway co-occurring alterations. In a preclinical model expressing a canonical METex14 mutation, KRAS overexpression or NF1 downregulation hyperactivated MAPK signaling to promote MET TKI resistance. This resistance was overcome by cotreatment with crizotinib and the MEK inhibitor trametinib.

CONCLUSIONS

Our study provides a genomic landscape of co-occurring alterations in advanced-stage METex14-mutated NSCLC and suggests a potential combination therapy strategy targeting MAPK pathway signaling to enhance clinical outcomes.

Synthetic Essentiality of Metabolic Regulator PDHK1 in PTEN-Deficient Cells and Cancers

Phosphatase and tensin homolog deleted on chromosome 10 (PTEN) is a tumor suppressor and bi-functional lipid and protein phosphatase. We report that the metabolic regulator pyruvate dehydrogenase kinase1 (PDHK1) is a synthetic-essential gene in PTEN-deficient cancer and normal cells. The PTEN protein phosphatase dephosphorylates nuclear factor κB (NF-κB)-activating protein (NKAP) and limits NFκB activation to suppress expression of PDHK1, a NF-κB target gene. Loss of the PTEN protein phosphatase upregulates PDHK1 to induce aerobic glycolysis and PDHK1 cellular dependence. PTEN-deficient human tumors harbor increased PDHK1, a biomarker of decreased patient survival. This study uncovers a PTEN-regulated signaling pathway and reveals PDHK1 as a potential target in PTEN-deficient cancers.

Targeting Oncogenic BRAF: Past, Present, and Future

Identifying recurrent somatic genetic alterations of, and dependency on, the kinase BRAF has enabled a "precision medicine" paradigm to diagnose and treat BRAF-driven tumors. Although targeted kinase inhibitors against BRAF are effective in a subset of mutant BRAF tumors, resistance to the therapy inevitably emerges. In this review, we discuss BRAF biology, both in wild-type and mutant settings. We discuss the predominant BRAF mutations and we outline therapeutic strategies to block mutant BRAF and cancer growth. We highlight common mechanistic themes that underpin different classes of resistance mechanisms against BRAF-targeted therapies and discuss tumor heterogeneity and co-occurring molecular alterations as a potential source of therapy resistance. We outline promising therapy approaches to overcome these barriers to the long-term control of BRAF-driven tumors and emphasize how an extensive understanding of these themes can offer more pre-emptive, improved therapeutic strategies.