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Non-small cell lung cancer (NSCLC) tumors harboring mutations in EGFR ultimately relapse to therapy with EGFR tyrosine kinase inhibitors (EGFR TKIs). Here, we show that resistant cells without the p.T790M or other acquired mutations are sensitive to the Aurora B (AURKB) inhibitors barasertib and S49076. Phospho-histone H3 (pH3), a major product of AURKB, is increased in most resistant cells and treatment with AURKB inhibitors reduces the levels of pH3, triggering G1/S arrest and polyploidy. Senescence is subsequently induced in cells with acquired mutations while, in their absence, polyploidy is followed by cell death. Finally, in NSCLC patients, pH3 levels are increased after progression on EGFR TKIs and high pH3 baseline correlates with shorter survival. Our results reveal that AURKB activation is associated with acquired resistance to EGFR TKIs, and that AURKB constitutes a potential target in NSCLC progressing to anti-EGFR therapy and not carrying resistance mutations., Non-small cell lung cancer with EGFR mutations are known to develop resistance to EGFR tyrosine kinase inhibitors. Here, the authors show AURKB activation to be associated with resistance in EGFR mutant lung cancer cells, and that AURKB is a therapeutic target in resistant tumours that lack the p.T790M or other acquired mutations.

Introduction: Stage IIIB-IV non-small cell lung cancer patients with mutations in the EGF receptor gene (EGFR) usually derive clinical benefit from to tyrosine kinase inhibitors (EGFR TKIs) but ultimately relapse. In preclinical studies, we have showed that anti-EGF antibodies generated by vaccination significantly increased the antitumor activity of TKIs in EGFR-mut cell lines, blocking EGFR, Erk1/2, Akt and STAT3 activation and delaying emergence of resistance. Based on these findings, the EPICAL trial was initiated (ClinicalTrials.gov number, NCT03623750). Methods: The EPICAL was a single arm, phase 1b, single arm study to evaluate the safety and efficacy of first line anti-EGF vaccination combined with afatinib. The trial enrolled advanced NSCLC patients with sensitizing EGFR mutations confirmed in a central laboratory. Patients received 40 mg/day of afatinib and five intramuscular anti-EGF vaccinations every 14 days and then every three months until progression. Four medical centers in Spain participated, with a target enrollment of 30 patients. However, the COVID-19 outbreak forced an early termination of the study in March 2020 with only 23 patients included. Serial blood samples were collected and used to evaluate the levels of selected growth factors by ELISA and biological activity by addition of sera to in vitro cultures of EGFR-mut cells followed by Western blotting. Results: Of the 23 patients enrolled in the trial, nine (39%) had exon 19 in-frame deletions, twelve (52%) exon 21 substitutions and two (9%) exon 18 missense mutations. Combination treatment was well tolerated and no SAES related to anti-EGF vaccination were reported. Objective response and disease control rates were 78.3% (95%CI=53.6-92.5) and 95.7% (95%CI=78.1-99.9), respectively. At data cut-off, with a median follow-up of 11.4 months (95%CI=8.1-15.2), the median progression-free survival was 17.4 months (95% CI=13.22-NA) and median survival not reached (95% CI=15.21-NA). Median PFS for patients with exon 19 deletions and exon 21 point mutations were 13.9 months (95%CI=8.7-NR) and 17.4 months (95%CI=13.2-NR), respectively. Three months after initiation of treatment, high titers of anti-EGF antibodies were detected in all patients and serum EGF and TGFα levels were found to be significantly lower compared to baseline levels. Finally, treatment with post-vaccination patient’s sera inhibited EGFR, AKT and ERK1/2 phosphorylation in EGFR-mut cells growing in vitro. Conclusion: The combination of an anti–EGF vaccine with afatinib is well tolerated and induces a sustained immunogenic effect. Vaccination against EGF might enhance the clinical efficacy of EGFR TKIs. Keywords: anti-EGF vaccination, EGFR-mutant non-small cell lung cancer, EGFR inhibitors

Introduction: Longitudinal evaluation of mutations in blood samples was a prespecified secondary objective in the BELIEF trial of erlotinib and bevacizumab in advanced EGFR-positive NSCLC. Here, we report the testing results and explore the correlation of EGFR status in blood with clinical outcomes. Methods: Blood samples were prospectively collected from patients at baseline, at response evaluation, and at progression and sent to a central laboratory. Circulating free DNA was purified and EGFR mutations were analyzed with a validated real-time quantitative polymerase chain reaction assay. Results: EGFR exon 19/21 mutations were detected in 55 of 91 baseline blood samples (60.4%) and correlated with a significantly worse progression-free survival: 11.4 months (95% confidence interval [CI]: 9.0-14.8 mo) for the patients who were positive versus 22.9 months (95% CI: 9.5-33.9 mo) for those who were negative (log-rank p = 0.0020). Among the 74 samples at response, exon 19/21 mutations were detected only in three samples (4.1%). In contrast, 29 of 58 patients (50.0%) were exon 19/21 positive at progression and showed a significantly worse median overall survival of 21.7 months (95% CI: 17.0-30.9 mo) compared with 37.4 months (95% CI: 22.6-53.1 mo) for those who were negative (log-rank p = 0.011). Blood samples at the three time points were available for 48 patients. Of those, among 14 exon 19/21 EGFR-negative at presentation, 13 (93%) were persistently negative for the sensitizing mutations after progression and the p.T790M could only be detected in the blood of two patients. Conclusions: Longitudinal testing of EGFR mutations in blood can offer valuable clinical information. In patients of the BELIEF study, detection of EGFR mutations in circulating free DNA at presentation was associated with shorter progression-free survival, whereas positivity at progression correlated with shorter overall survival. Finally, patients negative in blood at presentation were almost invariably negative at relapse. (C) 2019 Published by Elsevier Inc. on behalf of International Association for the Study of Lung Cancer.

Introduction: Immune checkpoint inhibitors (ICIs) have demonstrated clinical efficacy in non-small cell lung cancer (NSCLC) patients (p). However, ICIs can also trigger a self-reactive response in the adjacent healthy lung tissue that can eventually lead to life-threatening immune-related adverse events (irAEs), like checkpoint inhibitor pneumonitis (CIP). We hypothesized that a pre-treatment state of chronic inflammation or immune system imbalance could predict which p are at higher risk of developing CIP. Methodology: We retrospectively collected pre-ICI-treatment FFPE tumor tissue and matching plasma samples from 17 CIP- and 24 non-CIP lung cancer p. An additional 40 plasma samples, including 3 CIP and 37 non-CIP p were used as a validation cohort. The miRCURY exosome isolation kit (Qiagen) was used for extracellular vesicle (EV) enrichment from 500 μL of plasma and RNA was extracted using TRI-reagent. EV-mRNA was then pre-amplified (10 cycles) using the Low RNA Input Amplification kit (NanoString Technologies). FFPE mRNA was extracted using the High Pure FFPET RNA Isolation Kit (Roche). Gene expression analysis was performed on tissue and EV-derived mRNA using the NanoString nCounter platform with the Human PanCancer IO360 panel, which targets 770 genes related to tumor biology, immune response and microenvironment. Differential expression (DE) analysis was carried out based on the development of CIP. Finally, a classifier was created using a bioinformatic recursive feature elimination and a leave-one-out cross validation algorithm to predict which combination of genes is most effective to predict CIP development. Results: DE analysis revealed 54 differentially expressed genes (DEGs) in pre-treatment tissue of CIP vs. non-CIP p. An 8-gene CIP mRNA signature was able to distinguish between the two cohorts with areas under the ROC curve (AUC) of 0.81-0.95. When analyzing plasma EV samples, we found 57 DEGs. The tissue CIP signature was not translatable to EVs, yielding AUCs of only 0.53-0.54. Therefore, we developed a new 4-gene EV-based mRNA signature that could differentiate CIP vs. non-CIP developing p with AUCs of 0.82-0.90 and an overall accuracy of 89.9%. The negative- and positive predictive values (NPV and PPV) were 92.7% and 78.6%, respectively with a Youden´s index of 0.67. The 4 genes included in the EV signature were upregulated in CIP p and were found to be involved in T-cell activation and immune cell localization to the tumor. Conclusions: We have created a 4-gene EV-mRNA signature that associates with CIP development upon ICI treatment. Our results also indicate that plasma EV-mRNA was non-inferior to invasive tissue biopsy analysis in predicting CIP development. Validation studies in larger patient cohorts are ongoing. Citation Format: Jillian Wilhelmina Bracht, Santiago Viteri-Ramirez, Andrés Aguilar, Silvia Calabuig-Fariñas, Juan José García-Mosquera, Chung-Ying Huang, Elena Duréndez-Sáez, Nicolas Potie, Erika Aldeguer, Ana Gimenez-Capitán, Sonia Rodriguez, Ruth Roman, Cristina Aguado, Sarah Warren, Carlos Camps, Rafael Rosell, Eloisa Jantus-Lewintre, Miguel-Angel Molina-Vila, Maria González-Cao. A pre-treatment plasma extracellular vesicle-mRNA signature associates with checkpoint inhibitor pneumonitis in lung cancer patients [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 409.

Background: We hypothesized that the abundance of PD1 mRNA in tumor samples might explain the differences in overall response rates (ORR) observed following anti-PD1 monotherapy across cancer types. Patients and methods: RNASeqv2 data from 10 078 tumor samples representing 34 different cancer types was analyzed from TCGA. Eighteen immune-related gene signatures and 547 immune-related genes, including PD1, were explored. Correlations between each gene/signature and ORRs reported in the literature following anti-PD1 monotherapy were calculated. To translate the in silico findings to the clinical setting, we analyzed the expression of PD1 mRNA using the nCounter platform in 773 formalin-fixed paraffin embedded (FFPE) tumor samples across 17 cancer types. To test the direct relationship between PD1 mRNA, PDL1 immunohistochemistry (IHC), stromal tumor-infiltrating lymphocytes (sTILs) and ORR, we evaluated an independent FFPE-based dataset of 117 patients with advanced disease treated with anti-PD1 monotherapy. Results: In pan-cancer TCGA, PD1 mRNA expression was found strongly correlated (r > 0.80) with CD8 T-cell genes and signatures and the proportion of PD1 mRNA-high tumors (80th percentile) within a given cancer type was variable (0%–84%). Strikingly, the PD1-high proportions across cancer types were found strongly correlated (r ¼ 0.91) with the ORR following antiPD1 monotherapy reported in the literature. Lower correlations were found with other immune-related genes/signatures, including PDL1. Using the same population-based cutoff (80th percentile), similar proportions of PD1-high disease in a given cancer type were identified in our in-house 773 tumor dataset as compared with TCGA. Finally, the pre-established PD1 mRNA FFPE-based cutoff was found significantly associated with anti-PD1 response in 117 patients with advanced disease (PD1-high 51.5%, PD1-intermediate 26.6% and PD1-low 15.0%; odds ratio between PD1-high and PD1-intermediate/low ¼ 8.31; P < 0.001). In this same dataset, PDL1 tumor expression by IHC or percentage of sTILs was not found associated with response. Conclusions: Our study provides a clinically applicable assay that links PD1 mRNA abundance, activated CD8 T-cells and anti-PD1 efficacy.

Background The epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) osimertinib improves therapy for non-small cell lung cancer (NSCLC) patients who possess EGR mutations. However, invariable acquired resistance appears due to several molecular mechanisms. Hsp90 protein clients are involved in these processes. Methods Cell viability and colony formation assays were performed in PC9, H1975 and PC9-derived osimertinib-resistant NSCLC cell lines tested with osimertinib plus hsp90 inhibitors, luminespib or ganetespib. To analyze the mechanism of action of these compounds and its combination, western blot analysis was carried out to study the protein expression and activation. Results In our laboratory five osimertinib-resistant cell lines were generated from PC9 NSCLC cell line and overexpression or activation of several proteins, such as, AXL, Yap, bcl2, Akt, Stat3 and IGF-1R were detected. Hsp90 inhibitors, Ganetespib and Luminespib, inhibited cell viability and colony formation in H1975, PC9 and PC9-derived osimertinib-resistant cell lines, and the combination of these inhibitors with osimertinib achieved enhanced cell viability reduction. Luminespib downregulated the expression of several proteins involved in osimertinib-resistance and the combination of this compound plus osimertinib caused an important decrease of expression in several of these proteins, such as, Stat3, Yap, Akt, EGFR and Met. In addition, osimertinib activated the phosphorylation of several membrane receptors and downstream molecules, such as, Met, Yap, Stat3, Akt and Src, and its activation was partially inhibited by Luminespib. Conclusions We conclude that hsp90 inhibitors and osimertinib exhibit good efficiency in inhibiting cell viability and colony formation, while at the same time, inhibiting expression and activation of proteins involved in osimertinib-resistance. Our preclinical study shows that the combination of hsp90 inhibitors and osimertinib may represent an effective strategy for NSCLC patients with resistance to osimertinib treatment. Legal entity responsible for the study Pangaea Oncology. Funding Pangaea Oncology. Disclosure All authors have declared no conflicts of interest.

Background: In a significant percentage of advanced non-small-cell lung cancer (NSCLC) patients, tumor tissue is unavailable or insufficient for genetic analyses. We prospectively analyzed if circulating-free DNA (cfDNA) purified from blood can be used as a surrogate in this setting to select patients for treatment with epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs). Patients and methods: Blood samples were collected in 119 hospitals from 1138 advanced NSCLC patients at presentation (n = 1033) or at progression to EGFR-TKIs (n = 105) with no biopsy or insufficient tumor tissue. Serum and plasma were sent to a central laboratory, cfDNA purified and EGFR mutations analyzed and quantified using a real-time PCR assay. Response data from a subset of patients (n = 18) were retrospectively collected. Results: Of 1033 NSCLC patients at presentation, 1026 were assessable; with a prevalence of males and former or current smokers. Sensitizing mutations were found in the cfDNA of 113 patients (11%); with a majority of females, never smokers and exon 19 deletions. Thirty-one patients were positive only in plasma and 11 in serum alone and mutation load was higher in plasma and in cases with exon 19 deletions. More than 50% of samples had