Publications by authors named "Neda Kalhor"

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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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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Article Synopsis
  • Pulmonary sarcomatoid carcinoma (PSC) is a rare and aggressive type of lung cancer that has both normal cell and unusual cell features.
  • Researchers studied PSC samples and compared them to normal lung tissues to understand their differences better, focusing on genetics and immune responses.
  • They found 27 gene mutations in PSC, discovered two types of PSC based on immune system activity, and noted that one type (Immune High) had better survival rates, showing that the immune system plays a big role in fighting this cancer.
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GATA3 is the most used marker to determine tumors' breast origin, but its diagnostic value in triple-negative breast cancer (TNBC) is limited. The newly identified TRPS1 is highly sensitive and specific for breast carcinoma, especially TNBC. Here, we compared the utility of TRPS1 and GATA3 expression in a subset of salivary gland-type breast tumors (including adenoid cystic, acinic cell, and secretory carcinomas [AdCC, ACC, and SC, respectively]), and we compared TRPS1 and GATA3 expression of such tumors with head and neck (H&N) and AdCC of upper respiratory tumors.

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Histopathologic whole-slide images (WSI) are generally considered the gold standard for cancer diagnosis and prognosis. Survival prediction based on WSI has recently attracted substantial attention. Nevertheless, it remains a central challenge owing to the inherent difficulties of predicting patient prognosis and effectively extracting informative survival-specific representations from WSI with highly compounded gigapixels.

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Article Synopsis
  • * Lung adenocarcinoma (ADC) is the most common type of lung cancer, with atypical adenomatous hyperplasia being a key precursor that can progress to more serious forms.
  • * By using advanced deep learning techniques on common histopathology images, researchers extracted important features that show changes in cell types as lung cancer develops, suggesting that pathomics could be a cost-effective method to study lung cancer evolution.
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Pulmonary sclerosing pneumocytomas are benign tumors. These tumors are often found incidentally and can be challenging to distinguish from lung malignancies. Here, we describe the case of a 31-year-old woman who presented with an incidental finding of a lung nodule in the lingula.

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Article Synopsis
  • * An analysis of tumor samples from 33 NSCLC patients identified significant differences in immune cell composition between relapsed and non-relapsed cases, specifically noting higher levels of PD-L1 expression and certain T cell populations in relapsed tumors.
  • * The study found that increased infiltration of specific immune cells, like PD-L1 macrophages and antigen-experienced T cells, was linked to poorer survival rates, while variations in regulatory T cells (Treg) were associated with worse recurrence-free survival, independent of other tumor
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Introduction: The phase II DETERRED trial assessed the safety and efficacy of consolidation and concurrent immunotherapy with chemoradiation in unresectable locally advanced non-small cell lung cancer. We present updated efficacy analysis of this trial.

Methods: The trial was conducted in 2 parts with patients in part 1 (n = 10) receiving chemoradiation with consolidation atezolizumab, while patients in part 2 (n = 30) received concurrent and consolidation atezolizumab.

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Objectives: Pathologists have routinely observed distinct histologic patterns of growth in early-stage lung adenocarcinoma (LUAD), which have been suggested to be associated with prognosis. Herein, we investigated the relationship between LUAD patterns of growth, as defined by the updated international association for the study of lung cancer (IASLC) grading criteria, and differences in the tumor immune microenvironment to identify predictors of response to immunotherapy.

Methods: 174 resected stage I-III LUAD tumors were classified by histologic pattern of growth (i.

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Histology plays an essential role in therapeutic decision-making for lung cancer patients. However, the molecular determinants of lung cancer histology are largely unknown. We conduct whole-exome sequencing and microarray profiling on 19 micro-dissected tumor regions of different histologic subtypes from 9 patients with lung cancers of mixed histology.

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Ipilimumab improves clinical outcomes when combined with nivolumab in metastatic non-small cell lung cancer (NSCLC), but its efficacy and impact on the immune microenvironment in operable NSCLC remain unclear. We report the results of the phase 2 randomized NEOSTAR trial (NCT03158129) of neoadjuvant nivolumab or nivolumab + ipilimumab followed by surgery in 44 patients with operable NSCLC, using major pathologic response (MPR) as the primary endpoint. The MPR rate for each treatment arm was tested against historical controls of neoadjuvant chemotherapy.

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The natural history of small cell lung cancer (SCLC) includes rapid evolution from chemosensitivity to chemoresistance, although mechanisms underlying this evolution remain obscure due to scarcity of post-relapse tissue samples. We generated circulating tumor cell (CTC)-derived xenografts (CDXs) from SCLC patients to study intratumoral heterogeneity (ITH) via single-cell RNAseq of chemo-sensitive and -resistant CDXs and patient CTCs. We found globally increased ITH including heterogeneous expression of therapeutic targets and potential resistance pathways, such as EMT, between cellular subpopulations following treatment-resistance.

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Introduction: CD73 is a membrane-bound enzyme crucial in adenosine generation. The adenosinergic pathway plays a critical role in immunosuppression and in anti-tumor effects of immune checkpoint inhibitors (ICI). Here, we interrogated CD73 expression in a richly annotated cohort of human lung adenocarcinoma (LUAD) and its association with clinicopathological, immune, and molecular features to better understand the role of this immune marker in LUAD pathobiology.

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Thymic typical and atypical carcinoids are rare and appear to be more aggressive than similar tumors in other sites. We retrospectively analyzed a group of biomarkers that hold therapeutic and prognostic utility, in 27 of these tumors. All cases were immunohistochemically stained with PAX5, MET, CRMP5, paxillin, p21, p27, EZH2, PDL-1, and Ki-67, and then H-scored.

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Fifty-three cases of sarcomatoid pleural mesothelioma were evaluated for CDKN2A (p16) homozygous deletion and correlated with BRCA-associated protein-1 (BAP1) expression by immunohistochemistry. The patients are 45 men and 8 women between the ages of 37 and 79 years (average age: 58 years), who presented with symptoms of chest pain, cough, and weight loss. Diagnostic imaging showed the presence of diffuse pleural thickening with encasement of the lung parenchyma in all the cases.

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Background: Metastasis is the primary cause of cancer mortality accounting for 90% of cancer deaths. Our understanding of the molecular mechanisms driving metastasis is rudimentary.

Results: We perform whole exome sequencing (WES), RNA sequencing, methylation microarray, and immunohistochemistry (IHC) on 8 pairs of non-small cell lung cancer (NSCLC) primary tumors and matched distant metastases.

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Mucous gland adenomas represent a small percentage of primary lung neoplasms. The accurate diagnosis of these benign tumors can be challenging not only on resected specimens but also more challenging in small bronchoscopic biopsies. If to that problem we add the issue that these tumors may also exist in the periphery of the lung, then it is easy to conclude that there is much difficulty in properly diagnosing these tumors with a core needle biopsy.

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Thymomas are slow-growing neoplasia arising from the epithelial cells of the thymus that usually present with respiratory symptoms, superior vena cava syndrome, or parathymic syndromes. Approximately 30% of thymomas develop myasthenia gravis. An additional 5% of patients with thymomas have other systemic syndromes, including rheumatoid arthritis, thyroiditis, red cell aplasia, systemic lupus erythematosus, and Cushing syndrome.

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Introduction: We have suggested that major pathologic response (MPR) could serve as a surrogate endpoint for survival and provide rapid means of comparing different neoadjuvant treatment regimens. Here, we confirm that MPR is predictive of long-term overall survival (OS) in patients with non-small-cell lung cancer (NSCLC) who underwent neoadjuvant chemotherapy and surgical resection, to assess agreement on MPR between 2 observers, and to determine the minimum number of slides needed to obtain an accurate determination of MPR.

Patients And Methods: We identified 151 patients with NSCLC who had been treated with neoadjuvant chemotherapy followed by complete surgical resection from 2008 to 2012.

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Background: The tumor immune microenvironment of lepidic-pattern adenocarcinoma remains poorly understood. In this study, we characterized tumor infiltrating lymphocytes (TILs) and percent PD-L1 expression among adenocarcinoma presenting as either radiographic ground glass opacities (GGOs) or solid lesions.

Methods: Pathologic specimens of patients with clinical stage I lung adenocarcinoma were analyzed using tissue microarray sectioning.

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