Publications by authors named "Lauren A Byers"

Background: Datopotamab deruxtecan (Dato-DXd), is a humanized anti-TROP2 IgG1 monoclonal antibody linked to a potent topoisomerase I inhibitor payload (DXd). Dato-DXd has already shown antitumor activity in breast cancer; however, the determinants of response, including the importance of TROP2 expression, remain unclear. We tested the activity of Dato-DXd in a panel of breast cancer patient-derived xenografts (BCXs) varying in TROP2 expression.

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Delta-like Ligand 3 (DLL3) targeting therapies are promising in small cell lung cancer (SCLC) treatment. However, DLL3 expression in SCLC and other neuroendocrine neoplasms (NEN) is heterogeneous and not well characterized. We describe the landscape of DLL3 at the mRNA and protein levels across SCLC, large cell neuroendocrine carcinoma (LCNEC), and non-small cell lung cancer.

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Article Synopsis
  • The study aimed to assess if adding the PARP inhibitor talazoparib to the immune checkpoint inhibitor atezolizumab could enhance outcomes for patients with SLFN11-positive extensive stage small cell lung cancer (ES-SCLC) after initial treatment.
  • A total of 106 patients were randomized into two groups, showing that the combination therapy (talazoparib plus atezolizumab) led to improved progression-free survival compared to atezolizumab alone, though overall survival rates remained similar between the two groups.
  • While the combination therapy improved progression-free survival, it also resulted in higher rates of severe hematological side effects, such as grade 3 anemia, highlighting the need for careful patient selection based on genetic markers
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Background: Aside from the canonical role of PDL1 as a tumour surface-expressed immune checkpoint molecule, tumour-intrinsic PDL1 signals regulate non-canonical immunopathological pathways mediating treatment resistance whose significance, mechanisms, and therapeutic targeting remain incompletely understood. Recent reports implicate tumour-intrinsic PDL1 signals in the DNA damage response (DDR), including promoting homologous recombination DNA damage repair and mRNA stability of DDR proteins, but many mechanistic details remain undefined.

Methods: We genetically depleted PDL1 from transplantable mouse and human cancer cell lines to understand consequences of tumour-intrinsic PDL1 signals in the DNA damage response.

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Background: Neoadjuvant immune checkpoint inhibitors (ICIs) have improved survival outcomes compared with chemotherapy in resectable non-small cell lung cancer (NSCLC). However, the impact of actionable genomic alterations (AGAs) on the efficacy of neoadjuvant ICIs remains unclear. We report the influence of AGAs on treatment failure (TF) in patients with resectable NSCLC treated with neoadjuvant ICIs.

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Article Synopsis
  • Dual immune checkpoint blockade (ICB) using CTLA4 and PD-(L)1 inhibitors shows improved anti-tumor effectiveness and immune toxicity compared to PD-(L)1 inhibitors alone in advanced non-small-cell lung cancer (NSCLC) patients.
  • Patients with mutations in STK11 and/or KEAP1 genes benefit more from the combination treatment compared to those receiving only PD-(L)1 inhibitors, as shown in the POSEIDON trial.
  • The loss of KEAP1 serves as a strong predictor for the success of dual ICB, as it leads to a more favorable outcome by changing the tumor's immune environment to better engage CD4 and CD8 T cells for anti-tumor activity. *
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Article Synopsis
  • - 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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Purpose: Large cell neuroendocrine carcinoma (LCNEC) is a high-grade neuroendocrine malignancy that, like small cell lung cancer (SCLC), is associated with the absence of druggable oncogenic drivers and dismal prognosis. In contrast to SCLC, however, there is little evidence to guide optimal treatment strategies, which are often adapted from SCLC and non-small cell lung cancer approaches.

Experimental Design: To better define the biology of LCNEC, we analyzed cell line and patient genomic data and performed IHC and single-cell RNA sequencing of core needle biopsies from patients with LCNEC and preclinical models.

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Traditional feature dimension reduction methods have been widely used to uncover biological patterns or structures within individual spatial transcriptomics data. However, these methods are designed to yield feature representations that emphasize patterns or structures with dominant high variance, such as the normal tissue spatial pattern in a precancer setting. Consequently, they may inadvertently overlook patterns of interest that are potentially masked by these high-variance structures.

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  • The study investigates biomarkers that could predict the effectiveness of immunotherapy in patients with extensive-stage small-cell lung cancer (ES-SCLC) receiving different treatment combinations in the phase 3 CASPIAN trial.
  • A total of 805 patients were randomized into groups receiving durvalumab (D) combined with tremelimumab (T) and etoposide-platinum (EP), durvalumab with EP, or just EP, with overall survival (OS) as the primary endpoint.
  • The findings suggest that certain tumor microenvironment characteristics, like high CD8A and CD4 expression, along with specific gene signatures, may improve patient outcomes with the immunotherapy treatments.
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Integrative multi-omics analysis provides deeper insight and enables better and more realistic modeling of the underlying biology and causes of diseases than does single omics analysis. Although several integrative multi-omics analysis methods have been proposed and demonstrated promising results in integrating distinct omics datasets, inconsistent distribution of the different omics data, which is caused by technology variations, poses a challenge for paired integrative multi-omics methods. In addition, the existing discriminant analysis-based integrative methods do not effectively exploit correlation and consistent discriminant structures, necessitating a compromise between correlation and discrimination in using these methods.

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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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Atezolizumab (anti-PD-L1), combined with carboplatin and etoposide (CE), is now a standard of care for extensive-stage small-cell lung cancer (ES-SCLC). A clearer understanding of therapeutically relevant SCLC subsets could identify rational combination strategies and improve outcomes. We conduct transcriptomic analyses and non-negative matrix factorization on 271 pre-treatment patient tumor samples from IMpower133 and identify four subsets with general concordance to previously reported SCLC subtypes (SCLC-A, -N, -P, and -I).

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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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Unlabelled: The roles of preexisting auto-reactive antibodies in immune-related adverse events (irAEs) associated with immune checkpoint inhibitor therapy are not well defined. Here, we analyzed plasma samples longitudinally collected at predefined time points and at the time of irAEs from 58 patients with immunotherapy naïve metastatic non-small cell lung cancer treated on clinical protocol with ipilimumab and nivolumab. We used a proteomic microarray system capable of assaying antibody reactivity for IgG and IgM fractions against 120 antigens for systemically evaluating the correlations between auto-reactive antibodies and certain organ-specific irAEs.

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Article Synopsis
  • Amivantamab-vmjw is a bispecific antibody approved for treating advanced non-small cell lung cancer (NSCLC) with EGFR exon 20 mutations, but its safety and efficacy in other EGFR mutations, especially when used with other therapies, are less understood.
  • A study analyzed data from multiple cancer centers for 61 NSCLC patients treated with amivantamab, focusing on factors like response rates, safety, and treatment duration alongside existing therapies.
  • Results indicated that 45.2% of patients had a clinical response, with higher success rates in atypical mutation cohorts, and adverse events were consistent with previous findings, suggesting amivantamab's potential effectiveness even in various EGFR mutations when combined with other treatments.
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Objectives: In the Phase I/III IMpower133 study, first-line atezolizumab plus carboplatin and etoposide (CP/ET) treatment for extensive-stage small cell lung cancer (ES-SCLC) significantly improved overall survival (OS) and progression-free survival versus placebo plus CP/ET. We explored patient and disease characteristics associated with long-term survival in IMpower133, and associations of differential gene expression and SCLC-A (ASCL1-driven), SCLC-N (NEUROD1-driven), SCLC-P (POU2F3-driven), and SCLC-inflamed (SCLC-I) transcriptional subtypes with long-term survival.

Materials And Methods: Patients with previously untreated ES-SCLC were randomized 1:1 to four 21-day cycles of CP/ET with atezolizumab or placebo.

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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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With the promise of a potentially single-dose curative regimen, CAR-T cell therapies have brought a paradigm shift in the treatment and management of hematological malignancies with 6 approved products in the USA. However, there are no approved CAR-T cell therapies for solid tumors. Herein, we report the clinical pharmacology profile of AMG 119, the first CAR-T cell therapy targeting delta-like ligand 3 (DLL3), in patients with relapsed/refractory (R/R) small cell lung cancer (SCLC).

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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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Purpose: Therapeutic resistance to frontline therapy develops rapidly in small cell lung cancer (SCLC). Treatment options are also limited by the lack of targetable driver mutations. Therefore, there is an unmet need for developing better therapeutic strategies and biomarkers of response.

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Therapeutic options for patients with relapsed SCLC are limited, and the prognosis in this setting remains poor. While clinical outcomes for frontline treatment have modestly improved with the introduction of immunotherapy, treatment in the second-line setting persists almost unchanged. In this review, current treatment options and recent advances in molecular biology are described.

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Neoadjuvant ipilimumab + nivolumab (Ipi+Nivo) and nivolumab + chemotherapy (Nivo+CT) induce greater pathologic response rates than CT alone in patients with operable non-small cell lung cancer (NSCLC). The impact of adding ipilimumab to neoadjuvant Nivo+CT is unknown. Here we report the results and correlates of two arms of the phase 2 platform NEOSTAR trial testing neoadjuvant Nivo+CT and Ipi+Nivo+CT with major pathologic response (MPR) as the primary endpoint.

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Article Synopsis
  • The FDA has approved combined BRAF and MEK inhibitors for treating BRAF V600E-mutant solid tumors, but colorectal cancer is excluded due to resistance mechanisms that involve various pathways.
  • A pooled analysis of the VEM-PLUS study indicated that vemurafenib alone had similar overall survival (OS) and progression-free survival (PFS) compared to combination therapies, except for poorer outcomes in patients receiving vemurafenib with carboplatin and paclitaxel.
  • Patients who had not previously been treated with BRAF inhibitors showed significantly improved OS and PFS compared to those who were refractory to BRAF therapy, highlighting the need for further research on resistance mechanisms and optimizing treatment strategies
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