Publications by authors named "Prelaj A"

Background: Non-small cell lung cancer (NSCLC) presents a formidable global health challenge owing to significant morbidity, high mortality rates, and substantial economic burden. Recent advances in targeted therapies and immunotherapies have transformed NSCLC treatment, but efficacy varies across patients. Tailoring treatment to patients can improve outcomes and potentially improve cost-effectiveness (ie, value for money) as well.

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Introduction: KRAS mutation the most common molecular alteration in advanced non-small cell lung cancer (NSCLC) and is associated with an unfavourable prognosis, largely due to the lack of targeted therapeutic options for the majority of the KRAS mutated isoforms. The landscape of NSCLC treatment has expanded with the introduction of immune checkpoint inhibitors (ICIs). Nonetheless, data regarding the efficacy of ICI in NSCLC patients harbouring KRAS mutations are conflicting.

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Article Synopsis
  • Stage III lung cancer is complex and still debated in terms of the best management strategies.
  • A study examined the impact of multidisciplinary team (MDT) discussions on the 5-year overall survival rates of patients treated before and after the implementation of MDT.
  • Results showed improved survival rates from 25.3% to 33.9% after MDT implementation, indicating that MDT can enhance treatment outcomes for both resected and non-resected patients.
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Background: Budget impact models (BIMs) forecast the financial implications of adopting new technologies and the potential need for budget reallocation, thus playing a crucial role in reimbursement decisions. Despite the importance of accurate forecasts, studies indicate large discrepancies between estimates and reality. We are developing an artificial intelligence-based clinical decision tool to identify patients with non-small cell lung cancer who are most likely to benefit from immunotherapy.

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This review delves into the intricate landscape of pleural mesothelioma (PM), emphasizing the need for nuanced therapeutic strategies. While platinum-based chemotherapy remains a cornerstone, the advent of immune checkpoint inhibitors (ICIs), notably through the Checkmate 743 trial, has reshaped treatment paradigms. Challenges persist due to patient heterogeneity and a lack of specific biomarkers.

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Background: Thymic carcinoma (TC) is a rare tumor with aggressive behavior. Chemotherapy with carboplatin plus paclitaxel represents the treatment of choice for advanced disease. Antiangiogenic drugs, including ramucirumab, have shown activity in previously treated patients.

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Introduction: To date, lung cancer is one of the most lethal diagnoses worldwide. A variety of lung cancer treatments and modalities are available, which are generally presented during the patient and doctor consultation. The implementation of decision tools to facilitate patient's decision-making and the management of their healthcare process during medical consultation is fundamental.

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Understanding the diversity in cancer research priorities and the correlations among different treatment modalities is essential to address the evolving landscape of oncology. This study, conducted in collaboration with the European Cancer Patient Coalition (ECPC) and Childhood Cancer International-Europe (CCI-E) as part of the "UNCAN.eu" initiative, analyzed data from a comprehensive survey to explore the complex interplay of demographics, time since cancer diagnosis, and types of treatments received.

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Background: Immune checkpoint inhibitors (ICIs) have significantly improved outcomes in various cancers. ICI treatment is associated with the incidence of immune-related adverse events (irAEs) which can affect any organ. Data on irAEs occurrence in relation to sex- differentiation and their association with gender-specific factors are limited.

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Introduction: Several anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitors (TKIs) have been developed for the treatment of echinoderm microtubule-associated protein-like 4 (EML4)-ALK-rearranged non-small cell lung cancer (NSCLC), with the newer generation agents brigatinib, alectinib and lorlatinib showing prolonged responses. With the increasing number of target therapies available, the optimal sequence is yet to be defined, as resistance profiles may evolve over time and in response to sequential ALK inhibitors. Therefore, ALK-targeted strategies may be personalized based upon the presence of specific ALK resistance mutations.

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Improvements in cancer care require a new degree of collaboration beyond the purely medical sphere, extending deeply into the world of other stakeholders-preeminently patients but also the other stakeholders in the hardware and software of care. Cancer remains a global health challenge, necessitating collaborative efforts to understand, prevent, and treat this complex disease. To achieve this goal, a comprehensive analysis was conducted, aligning the prioritization of cancer research measures in 13 European countries with 13 key recommendations for conquering cancer in the region.

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Introduction: Despite several therapeutic efforts, lung cancer remains a highly lethal disease. Novel therapeutic approaches encompass immune-checkpoint inhibitors, targeted therapeutics and antibody-drug conjugates, with different results. Several studies have been aimed at identifying biomarkers able to predict benefit from these therapies and create a prediction model of response, despite this there is a lack of information to help clinicians in the choice of therapy for lung cancer patients with advanced disease.

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Next-generation sequencing (NGS) and liquid biopsy (LB) showed positive results in the fight against different cancer types. This paper aims to assess the uptake of advanced molecular diagnostics/NGS for quick and efficient genetic profiles of tumour cells. For that purpose, the European Alliance for Personalised Medicine conducted a series of expert interviews to ascertain the current status across member states.

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Introduction: The LIPI, based on pretreatment derived neutrophils/[leukocytes-neutrophils] ratio (dNLR) and LDH, is associated with immune checkpoint inhibitors (ICI) outcomes in advanced non-small-cell lung cancer (NSCLC). We aimed to assess baseline LIPI correlation with durvalumab consolidation outcomes in the locally advanced setting.

Material And Methods: Multicentre retrospective study (330 patients) with stage III unresectable NSCLC treated with durvalumab after chemo-radiotherapy between April 2015 and December 2020; 65 patients treated with chemo-radiotherapy only.

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Background: Bone-targeted agents (BTA), such as denosumab (DN) and zoledronic acid (ZA), have historically reduced the risk of skeletal related events in cancer patients with bone metastases (BM), with no improvement in survival outcomes. In the immunotherapy era, BM have been associated with poor prognosis upon immune-checkpoint inhibitors (ICI). Currently, the impact of bone tumor burden on survival upon BTAs in advanced non-small cell lung cancer (aNSCLC) patients treated with ICI remains unknown.

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Article Synopsis
  • The use of immune checkpoint inhibitors (ICIs) has changed cancer treatment, but identifying which patients will benefit is still difficult, and AI can help analyze large amounts of cancer data.
  • A systematic review analyzed 90 studies on ICI efficacy prediction across various data types, with a majority focusing on genomic information; most studies employed standard machine learning techniques.
  • Although promising AI methods for predicting ICI responses were found, none of the studies demonstrated high-level evidence, with many using AI only after the fact rather than from the start.
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Background: Immunotherapy (IO) single agent or combined with chemotherapy (CT-IO) is the standard treatment for advanced non-small-cell lung cancer (aNSCLC) without driver alterations. IO efficacy in patients with novel driver alterations is not well reported.

Materials And Methods: Data of aNSCLC patients treated with IO or CT-IO in any line from January 2016 to September 2022 were retrospectively collected.

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Background: Chemoimmunotherapy represents the standard of care for patients with advanced non-small cell lung cancer (NSCLC) and programmed death-ligand 1 (PD-L1) <50%. Although single-agent pembrolizumab has also demonstrated some activity in this setting, no reliable biomarkers yet exist for selecting patients likely to respond to single-agent immunotherapy. The main purpose of the study was to identify potential new biomarkers associated with progression-free-survival (PFS) within a multiomics analysis.

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Recently, a wide spectrum of artificial intelligence (AI)-based applications in the broader categories of digital pathology, biomarker development, and treatment have been explored. In the domain of digital pathology, these have included novel analytical strategies for realizing new information derived from standard histology to guide treatment selection and biomarker development to predict treatment selection and response. In therapeutics, these have included AI-driven drug target discovery, drug design and repurposing, combination regimen optimization, modulated dosing, and beyond.

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Article Synopsis
  • - The STYLE trial tested the effectiveness and safety of sunitinib in patients with advanced or recurrent type B3 thymoma and thymic carcinoma, as these conditions have limited treatment options.
  • - The results showed a 0% objective response rate in thymoma and a 21.7% response rate in thymic carcinoma after the treatment, with high disease control rates but also significant adverse effects reported.
  • - The findings suggest that sunitinib can be an effective second-line treatment for thymic carcinoma, but it may cause serious side effects that might need dose adjustments.
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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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Article Synopsis
  • ERBB2 or HER2 alterations occur in 2% to 5% of non-small cell lung cancers (NSCLC), primarily as exon 20 insertion mutations, prompting a study on the oral drug poziotinib in treatment-naive patients with these mutations.
  • The ZENITH20-C4 trial involved 80 patients receiving either 16 mg once daily or 8 mg twice daily of poziotinib, measuring the drug's effectiveness through objective response rate and other secondary endpoints.
  • Results showed a 39% overall response rate and a 73% disease control rate, with manageable side effects such as rash and stomatitis, indicating that poziotinib is a promising treatment for this specific group of NSCLC
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