Publications by authors named "Simon Heeke"

EGFR status assessment is mandatory for adjuvant decision-making of resected stage IB-IIIA non-squamous non-small cell lung cancer (NS-NSCLC). It is questionable whether single-gene RT-PCR versus next-generation sequencing (NGS) should be used for this evaluation. Moreover, co-occurring mutations have an impact on tumor behavior and may influence future therapeutic decision-making.

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  • Scientists found that using two medications together, one that stops cancer and another that helps blood vessels, can help people with a certain type of lung cancer live longer without their cancer getting worse.
  • They ran a study (called the RAMOSE trial) comparing one medication plus the blood vessel helper to just the medication alone.
  • The results showed that people taking both medications had better outcomes, living longer without cancer progression, even though both groups experienced side effects from the treatments.
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Despite advancements in precision medicine, many cancer patients globally, particularly those in resource-constrained environments, face significant challenges in accessing high-quality molecular testing and targeted therapies. The considerable heterogeneity in molecular testing highlights the urgent need to harmonize practices across Europe and beyond, establishing a more standardized and consistent approach in MP laboratories. Professionals, especially molecular pathologists, must move beyond traditional education to cope with this heterogeneity.

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ERBB2 (HER2) represents a newly recognized actionable oncogenic driver in non-small cell lung cancer (NSCLC), with approved targeted therapy available. Understanding the landscape of ERBB2 alterations and co-occurring mutations is essential for guiding treatment decisions. We conducted an analysis involving 3000 NSCLC patients with all types of ERBB2 alterations, drawn from two extensive retrospective cohorts: 1281 from Geneplus (Chinese) and 1719 from Guardant360 (the United States, US).

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  • - Small cell lung cancer (SCLC) is known for its resistance to therapy, making it essential to identify phenotypes that contribute to this resistance and immune evasion; previous studies have indicated that DNA damage response (DDR) mechanisms may play a role in these issues across various cancers.
  • - A new method was developed to analyze DDR genes in SCLC clinical samples, revealing three distinct DDR phenotypes characterized by differences in DNA repair gene expression, replication stress, and G2/M cell cycle arrest, which correlate with how SCLC tumors respond to chemotherapy.
  • - The study concludes that understanding these DDR clusters can improve our knowledge of SCLC biology and treatment responses, suggesting that targeting specific DDR phenotypes may enhance patient outcomes in the
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  • This text is about figuring out how to name tumors better.
  • It suggests combining two ways of classifying tumors: one based on the organ where it grows and the other based on the molecules involved.
  • The goal is to improve treatment for people with cancer by using the best naming method.
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The identification of fusions in advanced non-small-cell lung carcinoma (aNSCLC) is mandatory for targeted therapy. The current diagnostic approach employs an algorithm using ALK immunohistochemistry (IHC) screening, followed by confirmation through FISH and/or next-generation sequencing (NGS). Challenges arise due to the infrequency of fusions (3-7% of aNSCLC), the suboptimal specificity of ALK IHC and FISH, and the growing molecular demands placed on small tissue samples, leading to interpretative, tissue availability, and time-related issues.

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Studying lung adenocarcinoma (LUAD) early carcinogenesis is challenging, primarily due to the lack of LUAD precursors specimens. We amassed multi-omics data from 213 LUAD and LUAD precursors to identify molecular features underlying LUAD precancer evolution. We observed progressively increasing mutations, chromosomal aberrations, whole genome doubling and genomic instability from precancer to invasive LUAD, indicating aggravating chromosomal instability (CIN).

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Activated T cells undergo a metabolic shift to aerobic glycolysis to support the energetic demands of proliferation, differentiation, and cytolytic function. Transmembrane glucose flux is facilitated by glucose transporters (GLUT) that play a vital role in T cell metabolic reprogramming and anti-tumour function. GLUT isoforms are regulated at the level of expression and subcellular distribution.

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While we recognize the prognostic importance of clinicopathological measures and circulating tumor DNA (ctDNA), the independent contribution of quantitative image markers to prognosis in non-small cell lung cancer (NSCLC) remains underexplored. In our multi-institutional study of 394 NSCLC patients, we utilize pre-treatment computed tomography (CT) and F-fluorodeoxyglucose positron emission tomography (FDG-PET) to establish a habitat imaging framework for assessing regional heterogeneity within individual tumors. This framework identifies three PET/CT subtypes, which maintain prognostic value after adjusting for clinicopathologic risk factors including tumor volume.

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  • Recent research highlights the importance of novel transcriptional factor-based molecular subtypes in predicting outcomes for small-cell lung cancer (SCLC) patients through in-depth analysis of multi-omics data combined with immunohistochemistry (IHC).
  • The study involved a comprehensive examination of data from 427 SCLC patients, focusing on mutation profiles, gene expression, and inflammation signatures, revealing distinct molecular subtypes and their clinical outcomes.
  • Findings showed significant differences in survival rates among subtypes, with the ASCL1 subtype exhibiting the most favorable overall survival, and inflamed tumors being more responsive to immunotherapy compared to non-inflamed tumors.
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Current treatment guidelines refer to small cell lung cancer (SCLC), one of the deadliest human malignancies, as a homogeneous disease. Accordingly, SCLC therapy comprises chemoradiation with or without immunotherapy. Meanwhile, recent studies have made significant advances in subclassifying SCLC based on the elevated expression of the transcription factors ASCL1, NEUROD1, and POU2F3, as well as on certain inflammatory characteristics.

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Introduction: NSCLC transformation to SCLC has been best characterized with -mutant NSCLC, with emerging case reports seen in , , and -altered NSCLC. Previous reports revealed transformed SCLC from -mutant NSCLC portends very poor prognosis and lack effective treatment. Genomic analyses revealed and loss of function increase the risk of SCLC transformation.

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Small cell lung cancer (SCLC) is an aggressive malignancy composed of distinct transcriptional subtypes, but implementing subtyping in the clinic has remained challenging, particularly due to limited tissue availability. Given the known epigenetic regulation of critical SCLC transcriptional programs, we hypothesized that subtype-specific patterns of DNA methylation could be detected in tumor or blood from SCLC patients. Using genomic-wide reduced-representation bisulfite sequencing (RRBS) in two cohorts totaling 179 SCLC patients and using machine learning approaches, we report a highly accurate DNA methylation-based classifier (SCLC-DMC) that can distinguish SCLC subtypes.

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Aims: Recent clinical trials have shown promising results with drugs targeting the hepatocyte growth factor receptor (c-Met) for advanced non-small cell lung cancers overexpressing c-Met. We assessed reflex testing of c-Met immunohistochemistry (IHC) at diagnosis for NSCLC in the real-world.

Methods: We retrospectively collected clinical, pathological and molecular data of cases diagnosed with NSCLC in our institution from January 2021 to June 2023.

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The understanding of small cell lung cancer (SCLC) biology has increased dramatically in recent years, but the processes that allow SCLC to progress rapidly remain poorly understood. Here, we advocate the integration of rapid autopsies and preclinical models into SCLC research as a comprehensive strategy with the potential to revolutionize current treatment paradigms.

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  • NRG1 gene fusions are found in non-small cell lung cancer (NSCLC) and other tumors, but current targeting strategies for HER2 and HER3 have shown limited effectiveness.
  • This study explores the role of HER4 and EGFR-HER3 signaling in NRG1 fusion-positive cancers using specialized cell models and in vivo cancer models.
  • Results suggest that targeting both HER4 and EGFR, along with other HER family members, provides a more effective treatment approach compared to focusing solely on HER3 or HER2-HER3 in these cancers.
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Small cell lung cancer (SCLC) is characterized by rapid growth and high metastatic capacity. It has strong epidemiologic and biologic links to tobacco carcinogens. Although the majority of SCLCs exhibit neuroendocrine features, an important subset of tumors lacks these properties.

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Introduction: Both MET expression and the PD-L1 tumor proportion score (TPS) are companion diagnostics for treatment of advanced non-small cell lung carcinoma (aNSCLC) patients. We evaluated the rate of correlation between MET expression and the PD-L1 TPS in matched biopsies and surgically resected specimens from NSCLC patients.

Patients And Methods: This retrospective analysis assessed the prevalence and correlation between MET expression (SP44 clone) and the PD-L1 TPS (22C3 clone) by immunohistochemistry together with molecular alterations determined by targeted next-generation sequencing in matched lung biopsy and surgically lung resected specimens from 70 patients with NSCLC.

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  • Effective treatment options are needed for non-small cell lung cancer patients with EGFR mutations who develop resistance to EGFR-targeting drugs due to a process called epithelial-to-mesenchymal transition (EMT).
  • The study identifies CD70 as a key protein that is significantly increased in cells that show resistance and is linked to cellular survival and invasiveness, especially in drug-tolerant persister cells (DTPCs).
  • Targeting CD70 through methods like antibody drug conjugates (ADCs) and engineered T or NK cells shows promising results in combating cells resistant to EGFR tyrosine kinase inhibitors, suggesting the potential for CD70 as a new treatment strategy.
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  • Gene fusion testing is essential for diagnosing nonsquamous non-small cell lung cancer (NS-NSCLC), but challenges like tissue availability and lengthy testing delays often hinder timely treatment.
  • A study compared two ultrafast gene fusion assays (Idylla and Genexus) in 195 NS-NSCLC cases and found high accuracy rates (92.3% for Idylla and 93.1% for Genexus) in detecting various gene fusions, while some specific fusions showed lower sensitivity.
  • Both assay methods provide a feasible approach for quicker gene fusion detection, facilitating faster initiation of targeted therapies, but each has some limitations regarding specific fusion detection sensitivities.
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Molecular diagnosis of lung cancer is a constantly evolving field thanks to major advances in precision oncology. The wide range of actionable molecular alterations in non-squamous non-small cell lung carcinoma (NS-NSCLC) and the multiplicity of mechanisms of resistance to treatment resulted in the need for repeated testing to establish an accurate molecular diagnosis, as well as to track disease evolution over time. While assessing the increasing complexity of the molecular composition of tumors at baseline, as well as over time, has become increasingly challenging, the emergence and implementation of next-generation sequencing (NGS) testing has extensively facilitated molecular profiling in NS-NSCLC.

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Despite the recent increase in the number of types of treatments, non-small-cell lung cancer (NSCLC) remains the major cause of death from cancer worldwide. So, there is an urgent need to develop new therapeutic strategies. The gene codes for tyrosine kinase receptor whose alterations are known to drive carcinogenesis.

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Background: The benefit of chemotherapy combined with immunotherapy in EGFR-mutant lung adenocarcinoma (LUAD) patients whose tumor developed resistance to EGFR tyrosine kinase inhibitors (TKIs) is not thoroughly investigated. The goal of this retrospective cohort study is to assess the clinical efficiency of immunotherapy alone or in combination with chemotherapy in a real-world setting.

Methods: This retrospective cohort study enrolled LUAD patients with EGFR sensitive mutations whose tumor had acquired resistance to EGFR TKIs and received systemic treatment with chemotherapy (chemo; = 84), chemotherapy combined with immunotherapy (chemoIO; = 30), chemotherapy plus bevacizumab with or without IO (withBev; = 42), and IO monotherapy (IO-mono; = 22).

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