Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (EGFR-TKIs) have dramatically improved outcomes and are the first-line treatment of choice for patients with EGFR (OMIM 131550)-mutant metastatic lung cancers.^1-4 Osimertinib, a third-generation, mutant-specific EGFR-TKI, demonstrated superior progression-free survival (PFS) and overall survival (OS) compared with erlotinib and gefitinib as initial treatment for patients with EGFR-mutant lung cancers.^1,5 As a result, osimertinib is the standard initial treatment for these patients.¹ Although treatment with osimertinib alone leads to tumor shrinkage and durable time on treatment, disease progression inevitably occurs.¹

Despite the clinical success of the third-generation EGFR inhibitor osimertinib as a first-line treatment of EGFR-mutant non-small cell lung cancer (NSCLC), resistance arises due to the acquisition of EGFR second-site mutations and other mechanisms, which necessitates alternative therapies. Dacomitinib, a pan-HER inhibitor, is approved for first-line treatment and results in different acquired EGFR mutations than osimertinib that mediate on-target resistance. A combination of osimertinib and dacomitinib could therefore induce more durable responses by preventing the emergence of resistance. Here we present an integrated computational modeling and experimental approach to identify an optimal dosing schedule for osimertinib and dacomitinib combination therapy. We developed a predictive model that encompasses tumor heterogeneity and inter-subject pharmacokinetic variability to predict tumor evolution under different dosing schedules, parameterized using in vitro dose-response data. This model was validated using cell line data and used to identify an optimal combination dosing schedule. Our schedule was subsequently confirmed tolerable in an ongoing dose-escalation phase I clinical trial (NCT03810807), with some dose modifications, demonstrating that our rational modeling approach can be used to identify appropriate dosing for combination therapy in the clinical setting.

PURPOSE: Inhibition of the MEK/ERK pathway is critical for Bcl-2-like protein 11 (BIM)-mediated epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI)-induced apoptosis, and dysregulation of this pathway may be a mechanism of acquired resistance. Therefore, MEK inhibition with trametinib and an EGFR TKI may resensitize tumors with acquired resistance. Limited targeted therapies are available after progression on EGFR TKIs, and it is in this setting that we completed a phase I/II study of erlotinib and trametinib. METHODS: Patients with metastatic EGFR-mutant lung adenocarcinoma and acquired resistance to an EGFR TKI received combination erlotinib 75 mg and trametinib 1.5 mg daily until progression or unacceptable side effects. The primary objective was objective response rate determined using RECIST version 1.1. RESULTS: Twenty-three patients were accrued; patients had received a median of two lines of prior TKI therapy (61% prior osimertinib), and 48% had acquired EGFR T790M. We confirmed one partial response (1/23, 4%, 95% CI, 0 to 22). The median progression-free survival was 1.8 months, and the median overall survival was 21 months. Diarrhea (87%), acneiform rash (87%), and fatigue (52%) were the most common treatment-related adverse events. Two patients who had tumor shrinkage both harbored a BRAF fusion. CONCLUSION: Addition of trametinib to erlotinib in the acquired resistance setting in an unselected population is not efficacious. Future studies should focus on targeted therapies in molecularly selected populations. Acquired BRAF fusions in patients with EGFR-sensitizing mutations may be a molecular subset where EGFR and MEK combination therapy could be studied further.

PURPOSE: Patients with EGFR-mutant lung cancer have no approved targeted therapies after disease progression on first-line osimertinib, a third-generation epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor (TKI). Preclinical studies suggest that tumors with both EGFR-sensitizing alteration and acquired second-site EGFR resistance alterations after treatment with osimertinib retain sensitivity to second-generation EGFR TKIs. We hypothesized that dacomitinib, a pan-human epidermal growth factor receptor TKI, may be effective in this setting. METHODS: In this phase II study, patients who had progressed on first-line osimertinib were treated with dacomitinib 45 mg orally daily until disease progression or intolerability. The primary end point was objective response rate. RESULTS: We enrolled 12 patients. Two partial responses were documented (17% objective response rate; 95% CI, 5 to 45). The median progression-free survival was 1.8 months (95% CI, 1.6 to not reached). One patient with an original sensitizing EGFR G719A mutation and one patient without molecular testing available had partial responses, whereas 0 of the 3 patients with second-site acquired EGFR resistance mutations (two C797S and one G724S) met the response criteria. The patient with EGFR G719A has an ongoing response at 17 months, which exceeds prior time on osimertinib (11 months). CONCLUSION: In the first trial evaluating a second-generation EGFR TKI after first-line third-generation osimertinib, we found that dacomitinib after disease progression on osimertinib has limited benefit.

Given the need to improve the sensitivity of non-invasive methods to detect colorectal neoplasia, particularly adenomas, we compared a fecal test using a monoclonal antibody (Mab) raised against constituents of colonic adenomas designated Adnab-9 (Adenoma Antibody 9), recognizing an N-linked 87 kDa glycoprotein, to gFOBT, which is shown to reduce CRC mortality. p87 immunohistochemistry testing is significantly more sensitive (OR 3.64[CI 2.37–5.58]) than gFOBT (guaiac-based fecal occult blood test) for adenomas (<3 in number), advanced adenomas (OR 4.21[CI 2.47–7.15]), or a combination of the two (OR 3.35[CI 2.47–4.53]). p87 immunohistochemistry shows regional Paneth cell (PC) expression mainly in the right-sided colon and is significantly reduced in the ceca of African Americans (p < 0.0001). In a subset of patients, we obtained other body fluids such as urine, colonic effluent, and saliva. Urine tests (organ-specific neoantigen) showed a significant difference for advanced adenomas (p < 0.047). We conclude that fecal p87 testing is more sensitive than gFOBT and Adnab-9 and could be used to better direct the colonoscopy screening effort.

While there are many postulates for the etiology of post-viral chronic fatigue and other symptomatology, little is known. We draw on our past experience of these syndromes to devise means which can expose the primary players of this malady in terms of a panoply participating biomolecules and the state of the stool microbiome. Using databases established from a large dataset of patients at risk of colorectal cancer who were followed longitudinally over 3 decades, and a smaller database dedicated to building a Long PASC cohort (Post-Acute Sequelae of COVID-19), we were able to ascertain factors that predisposed patients to (and resulted in) significant changes in various biomarkers, i.e., the stool microbiome and serum cytokine levels, which we verified by collecting stool and serum samples. There were significant changes in the stool microbiome with an inversion from the usual Bacillota and Bacteroidota species. Serum cytokines showed significant differences in MIP-1β versus TARC (CC chemokine ligand 17) in patients with either PASC or COVID-19 (p < 0.02); IL10 versus IL-12p70a (p < 0.02); IL-1b versus IL-6 (p < 0.01); MCP1 versus TARC (p < 0.03); IL-8 versus TARC (p < 0.002); and Eotaxin3 versus TARC (p < 0.004) in PASC. Some changes were seen solely in COVID-19, including MDC versus MIP-1α (p < 0.01); TNF-α versus IL-1-β (p < 0.06); MCP4 versus TARC (p < 0.0001). We also show correlates with chronic fatigue where an etiology was not identified. These findings in patients with positive criteria for PASC show profound changes in the microbiome and serum cytokine expression. Patients with chronic fatigue without clear viral etiologies also have common associations, including a history of tonsillectomy, which evokes a likely immune etiology.