Publications by authors named "Nir Peled"

Introduction: Integrative oncology (IO) programs provide patients with evidence-based complementary medicine therapies within a supportive and palliative cancer care setting. This study retrospectively examined characteristics of patients with lung cancer predicting utilization of a freely-provided IO consultation at two medical centers in Israel.

Methods: Electronic medical files of 832 patients with lung cancer attending/not attending the IO consultation were searched for socio-demographic (age, gender, country of birth, place of residence, primary language spoken) and personal health (Body Mass Index; smoking; disability) characteristics; cancer-related parameters (primary tumor site, localized vs.

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Introduction: EGFR tyrosine kinase inhibitor (EGFR-TKI)-sensitizing and -resistance mutations may be detected in plasma through circulating tumor DNA (ctDNA). Circulating tumor DNA level changes reflect alterations in tumor burden and could be a dynamic indicator of treatment effect. This analysis aimed to determine whether longitudinal EGFR-mutation ctDNA testing could detect progressive disease (PD) before radiologic detection.

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Introduction: Complementary medicine and integrative oncology modalities (IOM) have been included in the clinical practice guidelines of the American College of Chest Physicians in the treatments of patients with lung cancer. The present study examined the impact of a patient-tailored IOM treatment program on quality of life (QoL)-related concerns among patients with non-small and small lung cancer undergoing active oncology treatment.

Methods: This controlled study was pragmatic and prospective assessing the adherence among patients referred by their oncology healthcare provider to an integrative physician consultation, followed by 6 weekly IOM treatments addressing QoL-related concerns.

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Non-small cell lung cancer is a heterogeneous disease and molecular characterisation plays an important role in its clinical management. Next-generation sequencing-based panel testing enables many molecular alterations to be interrogated simultaneously, allowing for comprehensive identification of actionable oncogenic drivers (and co-mutations) and appropriate matching of patients with targeted therapies. Despite consensus in international guidelines on the importance of broad molecular profiling, adoption of next-generation sequencing varies globally.

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EGFR exon 20 (EGFR Ex20) insertion mutations in non-small cell lung cancer (NSCLC) are insensitive to traditional EGFR tyrosine kinase inhibitors (TKIs). Mobocertinib is the only approved TKI specifically designed to target EGFR Ex20. We performed an international, real-world safety and efficacy analysis on patients with EGFR Ex20-positive NSCLC enrolled in a mobocertinib early access program.

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Purpose: In the pursuit of creating personalized and more effective treatment strategies for lung cancer patients, Patient-Derived Xenografts (PDXs) have been introduced as preclinical platforms that can recapitulate the specific patient's tumor in an in vivo model. We investigated how well PDX models can preserve the tumor's clinical and molecular characteristics across different generations.

Methods: A Non-Small Cell Lung Cancer (NSCLC) PDX model was established in NSG-SGM3 mice and clinical and preclinical factors were assessed throughout subsequent passages.

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Article Synopsis
  • Mast cells (MCs) are special immune cells that can affect the growth of tumors in lung cancer, but their exact role is still a mystery.
  • Some research shows that a lot of MCs might make cancer worse, while other studies think they could actually help fight it.
  • In this study, scientists looked at how MCs communicate with lung cancer cells, finding that certain molecules called microRNAs might help control cancer growth and important cell functions.
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Personalized medicine has revolutionized approaches to treatment in the field of lung cancer by enabling therapies to be specific to each patient. However, physicians encounter an immense number of challenges in providing the optimal treatment regimen for the individual given the sheer complexity of clinical aspects such as tumor molecular profile, tumor microenvironment, expected adverse events, acquired or inherent resistance mechanisms, the development of brain metastases, the limited availability of biomarkers and the choice of combination therapy. The integration of innovative next-generation technologies such as deep learning-a subset of machine learning-and radiomics has the potential to transform the field by supporting clinical decision making in cancer treatment and the delivery of precision therapies while integrating numerous clinical considerations.

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Background: Data regarding the prevalence and clinical relevance of mutations in non-small cell lung cancer (NSCLC) is limited. Our objective was to evaluate the impact of pathogenic variants detected by tumour next-generation sequencing (NGS) on disease course and response to therapy.

Methods: We performed a retrospective analysis of all consecutive NSCLC patients with available NGS reports in a single institution between 01/2015 and 08/2020.

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Background: Mutations in genes involved in DNA damage repair (DDR), a hallmark of cancer, are associated with increased cancer cell sensitivity to certain therapies. This study sought to evaluate the association of DDR pathogenic variants with treatment efficacy in patients with advanced non-small cell lung cancer (NSCLC).

Methods: A retrospective cohort of consecutive patients with advanced NSCLC attending a tertiary medical center who underwent next-generation sequencing in 01/2015-8/2020 were clustered according to DDR gene status and compared for overall response rate (ORR), progression-free survival (PFS) (patients receiving systemic therapy), local PFS (patients receiving definitive radiotherapy), and overall survival (OS) using log-rank and Cox regression analyses.

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Although immunotherapy (IO) has changed the paradigm for the treatment of patients with advanced non-small cell lung cancers (aNSCLC), only around 30% to 50% of treated patients experience a long-term benefit from IO. Furthermore, the identification of the 30 to 50% of patients who respond remains a major challenge, as programmed Death-Ligand 1 (PD-L1) is currently the only biomarker used to predict the outcome of IO in NSCLC patients despite its limited efficacy. Considering the dynamic complexity of the immune system-tumor microenvironment (TME) and its interaction with the host's and patient's behavior, it is unlikely that a single biomarker will accurately predict a patient's outcomes.

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Purpose: The treatment for unresectable, locally advanced stage III non-small cell lung cancer (NSCLC) is concurrent chemoradiation therapy (CRT) followed by consolidation durvalumab. This study aimed to evaluate the benefit of neoadjuvant osimertinib as an alternative therapy to this approach with the aim of reducing the radiation field.

Methods And Materials: This investigation was a nonrandomized, open-label, single-arm, phase 2, prospective, proof-of-concept study.

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Article Synopsis
  • * Treatment strategies for NSCLC, especially adenocarcinomas, depend on identifying specific driver mutations, with liquid biopsies playing a key role in detecting resistance mechanisms.
  • * The report highlights three NSCLC cases with different EGFR mutations, all treated with Osimertinib combined with other therapies, which resulted in effective and lasting treatment responses.
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JCO We present 5-year outcomes from the phase 3 KEYNOTE-189 study (ClinicalTrials.gov identifier: NCT02578680). Eligible patients with previously untreated metastatic nonsquamous non-small-cell lung cancer without alterations were randomly assigned 2:1 to pembrolizumab 200 mg or placebo once every 3 weeks for up to 35 cycles with pemetrexed and investigator's choice of carboplatin/cisplatin for four cycles, followed by maintenance pemetrexed until disease progression or unacceptable toxicity.

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Article Synopsis
  • This study focuses on Cohort B of the Blood First Assay Screening Trial, examining patients with advanced fusion-positive non-small cell lung cancer (NSCLC) using blood tests for genetic changes.
  • Adult patients were treated with alectinib at a dose of 900 mg twice daily, but the trial was stopped before entering Phase II due to inadequate enrollment.
  • Results showed limited effectiveness of alectinib, with most patients having stable or progressive disease; however, no new safety concerns emerged, aligning with earlier findings at a lower dose.
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Introduction: The use of chromogranin A (CGA) as a circulating biomarker in lung carcinoids (LCs) is limited by low specificity and sensitivity. This study aimed to evaluate plasma progastrin-releasing peptide (ProGRPp) as an alternative to plasma CGA (CGAp), for the diagnosis and follow-up of LC.

Methods: ProGRPp and CGAp concentrations were measured in 107 patients with LC and 105 patients with benign lung disease (BLD).

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Lung cancer cells in the tumor microenvironment facilitate immune evasion that leads to failure of conventional chemotherapies, despite provisionally decided on the genetic diagnosis of patients in a clinical setup. The current study follows three lung cancer patients who underwent "personalized" chemotherapeutic intervention. Patient-derived xenografts (PDXs) were subjected to tumor microarray and treatment screening with chemotherapies, either individually or in combination with the peptide R11-NLS-pep8; this peptide targets both membrane-associated and nuclear PCNA.

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Article Synopsis
  • * In a retrospective analysis of 16 patients, mobocertinib resulted in a 25% objective response rate and a 75% disease control rate, with treatment durations varying significantly based on the presence of brain metastases.
  • * The treatment was generally well-tolerated, with notable adverse effects including diarrhea and nausea; it suggests mobocertinib could be an effective option compared to traditional therapies for this specific lung cancer mutation.
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Purpose: Molecular profiling is crucial in naïve non-small cell lung cancer (NSCLC). While tissue-based analysis is challenged by turnaround time and scarcity of tissue, there is increasing demand for liquid biopsy. We aimed to analyze the use of upfront liquid biopsy as a molecular profiling approach.

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Background: Patients with non-small cell lung cancer (NSCLC) presenting with mesenchymal-epithelial transition () exon 14 skipping mutation have an unfavorable prognosis with standard treatments. Capmatinib is a selective MET inhibitor, which showed promising efficacy in this patient population in early trials.

Methods: We performed a retrospective, international, multicenter efficacy and safety analysis in patients with NSCLC treated with capmatinib in an early access program between March 2019 and December 2021.

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Non-small cell lung cancer (NSCLC) accounts for most lung cancers and is a leading cause of cancer-related deaths in the USA. Alterations in c-MET, a tyrosine kinase receptor, have been involved in many cases of NSCLC progression and metastasis. Crizotinib and other tyrosine kinase inhibitors (TKIs) have been used in NSCLC treatment with limited success.

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Background: The use of CGP in guiding treatment decisions in aNSCLC with acquired resistance to ALK TKIs is questionable.

Methods: We prospectively assessed the impact of CGP on the decision-making process in ALK-rearranged aNSCLC patients following progression on 2/3-generation ALK TKIs. Physician's choice of the most recommended next-line systemic treatment (NLST) was captured before and after receival of CGP results; the percentage of cases in which the NLST recommendation has changed was assessed along with the CGP turnaround time (TAT).

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Synopsis of recent research by authors named "Nir Peled"

  • - Nir Peled's recent research primarily focuses on advancing personalized treatment strategies for non-small cell lung cancer (NSCLC) through the use of biomarker analysis, circulating tumor DNA (ctDNA) monitoring, and patient-derived xenograft (PDX) models, aiming to improve patient outcomes and minimize resistance to therapies.
  • - His studies underscore the significance of next-generation sequencing in molecular characterization and treatment planning, advocating for wider adoption of comprehensive genomic profiling to tailor therapies according to individual tumor mutations and characteristics.
  • - Peled also explores the integration of complementary medicine and innovative technologies, such as artificial intelligence and deep learning, to enhance treatment decision-making and patient quality of life during oncology treatments, indicating a holistic approach to lung cancer management.