Publications by authors named "F V Moiseenko"

Administration of single-agent epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs) is a standard treatment option for metastatic non-small cell lung carcinomas with EGFR exon 19 deletions (ex19del) and L858R substitutions. However, there is a significant interpatient heterogeneity with regard to the degree of the response and its duration. Patients with EGFR ex19del mutation, TP53 wild-type, good performance status, low tumor burden and no circulating tumor DNA (ctDNA) at baseline have the best chances to derive pronounced benefit from TKI therapy.

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Purpose: Telisotuzumab vedotin (Teliso-V) is a c-Met-directed antibody-drug conjugate with a monomethyl auristatin E cytotoxic payload. The phase II LUMINOSITY trial (ClinicalTrials.gov identifier: NCT03539536) aimed to identify the optimal c-Met protein-overexpressing non-small cell lung cancer (NSCLC) population for treatment with Teliso-V (stage I) and expand the selected group for efficacy evaluation (stage II).

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Genomic profiling, or molecular profiling of the tumor, is becoming a key component of therapeutic decision making in clinical oncology, and is typically carried out via next generation sequencing. However, the interpretation of the results and evaluation of rationale for targeting the uncovered alterations is challenging and requires a deep understanding of cancer biology, genetics, genomics and oncology. Multidisciplinary molecular tumor boards represent a promising strategy in the facilitation of molecularly-informed therapeutic decisions, and usually consist of specialists with various fields of expertise.

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Aim: To analyze the condition of the cardiovascular system in oncological patients receiving immune antitumor therapy with immune checkpoint inhibitors (CPIs) based on results of laboratory and instrumental examinations during a 3-month follow-up.

Material And Methods: This multicenter prospective observational study included 49 patients (25 men and 24 women aged 65.6±8.

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With the growing use of comprehensive tumor molecular profiling (CTMP), the therapeutic landscape of cancer is rapidly evolving. NGS produces large amounts of genomic data requiring complex analysis and subsequent interpretation. We sought to determine the utility of publicly available knowledge bases (KB) for the interpretation of the cancer mutational profile in clinical practice.

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