Publications by authors named "Eric Burks"

Article Synopsis
  • - The study focuses on developing a radiomic biomarker (SILA) that predicts the aggression of lung adenocarcinoma (LUAD) by analyzing preoperative CT scans, which can help improve patient management before surgery.
  • - SILA scores were validated in a sample of 161 patients with stage I LUAD, revealing significant correlations with recurrence-free survival and histologic characteristics like tumor invasion size and growth pattern.
  • - Results indicated that the SILA effectively predicted different grades of lung cancer, demonstrating its potential as a valuable tool for assessing tumor behavior and guiding treatment decisions prior to surgical resection.
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Background: The national lung screening trial (NLST) demonstrated a reduction in lung cancer mortality with lowdose CT (LDCT) compared to chest x-ray (CXR) screening. Overdiagnosis was high (79%) among bronchoalveolar carcinoma (BAC) currently replaced by adenocarcinoma in situ (AIS), minimally invasive adenocarcinoma (MIA) and adenocarcinoma of low malignant potential (LMP) exhibiting 100% disease specific survival (DSS).

Objective: Compare the outcomes and proportions of BAC, AIS, MIA, and LMP among NLST screendetected stage IA NSCLC with overdiagnosis rate.

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Microscopic vascular invasion (VI) is predictive of recurrence and benefit from lobectomy in stage I lung adenocarcinoma (LUAD) but is difficult to assess in resection specimens and cannot be accurately predicted prior to surgery. Thus, new biomarkers are needed to identify this aggressive subset of stage I LUAD tumors. To assess molecular and microenvironment features associated with angioinvasive LUAD we profiled 162 resected stage I tumors with and without VI by RNA-seq and explored spatial patterns of gene expression in a subset of 15 samples by high-resolution spatial transcriptomics (stRNA-seq).

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Bronchial premalignant lesions (PMLs) precede the development of invasive lung squamous cell carcinoma (LUSC), posing a significant challenge in distinguishing those likely to advance to LUSC from those that might regress without intervention. This study followed a novel computational approach, the Graph Perceiver Network, leveraging hematoxylin and eosin-stained whole slide images to stratify endobronchial biopsies of PMLs across a spectrum from normal to tumor lung tissues. The Graph Perceiver Network outperformed existing frameworks in classification accuracy predicting LUSC, lung adenocarcinoma, and nontumor lung tissue on The Cancer Genome Atlas and Clinical Proteomic Tumor Analysis Consortium datasets containing lung resection tissues while efficiently generating pathologist-aligned, class-specific heatmaps.

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Multimodal machine learning models are being developed to analyze pathology images and other modalities, such as gene expression, to gain clinical and biological insights. However, most frameworks for multimodal data fusion do not fully account for the interactions between different modalities. Here, we present an attention-based fusion architecture that integrates a graph representation of pathology images with gene expression data and concomitantly learns from the fused information to predict patient-specific survival.

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Background: Recent randomized control trials (JCOG0802 and CALGB140503) have shown sublobar resection to be noninferior to lobectomy for non-small cell lung cancer (NSCLC) ≤2.0 cm. We have previously proposed histologic criteria stratifying lung adenocarcinoma into indolent low malignant potential (LMP) and aggressive angioinvasive adenocarcinomas, resulting in better prognostication than provided by World Health Organization grade.

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Objective: To describe differences in the urinary microbiome of patients with pathologically confirmed lichen sclerosus (LS) urethral stricture disease (USD) vs non-lichen sclerosus (non-LS) USD pre- and post-operatively.

Methods: Patients were pre-operatively identified and prospectively followed, all underwent surgical repair and had tissue samples obtained to make a pathological diagnosis of LS. Pre- and post-operative urine samples were collected.

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Background: Lymphovascular invasion (LVI) is an adverse prognostic feature in resected stage I non-small cell lung cancer (NSCLC); however, it is unclear if the prognostic significance applies to both lung adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC).

Materials And Methods: A retrospective review of H&E-stained slides from surgically resected AJCC 8 ed. stage IA2-IB LUAD (n = 344) and LUSC (n = 102) from two institutions was performed.

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Differential microRNA (miRNA) expression can portend clear cell renal cell carcinoma (ccRCC) progression. In a previous study, we identified a subset of dysregulated miRNA in small renal masses, pT1 ccRCC (≤5 cm) that are associated with an aggressive phenotype. The present study investigated miRNA expression in clinical stage I (cT1) tumors (≤5 cm), comparing pathologic stage I (pT1) tumors to those upstaged to pathologic stage 3 (pT3) after surgery following identification of renal vein invasion or invasion into adjacent fat tissue within Gerota's fascia.

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Article Synopsis
  • The study focuses on a rare amyloidogenic transthyretin (TTR) variant, T60I/V122I, in a 63-year-old African American woman with significant heart and nervous system issues.
  • The presence of two TTR mutations was confirmed through DNA sequencing, indicating compound heterozygosity, and both variants contributed to amyloid deposits found in the patient's tissue.
  • The findings suggest that while the T60I and V122I mutations have similar kinetic stabilities, their combination affects thermodynamic stability and amyloid growth in a way that is additive, not synergistic.
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Objectives: Approximately 15% of stage I lung adenocarcinomas will recur despite adequate surgical therapy. Adjuvant therapy may benefit specific high-risk subsets; however, it is unclear which patients are sufficiently predisposed to recurrence to warrant intensified therapy.

Materials And Methods: 517 AJCC 8th edition stage I/0 lung adenocarcinomas ≤ 4 cm total size were graded (WHO-2015 and WHO-2021) and compared to stage subgroupings using 7-year recurrence free (RFS), disease specific (DSS), and overall survival (OS).

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Deep learning is a powerful tool for whole slide image (WSI) analysis. Typically, when performing supervised deep learning, a WSI is divided into small patches, trained and the outcomes are aggregated to estimate disease grade. However, patch-based methods introduce label noise during training by assuming that each patch is independent with the same label as the WSI and neglect overall WSI-level information that is significant in disease grading.

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Article Synopsis
  • β2-microglobulin amyloidosis is a protein deposition disease first noted in the 1980s, with recent identification of inherited mutations in the β2-microglobulin gene, including a novel variant known as P32L linked to hereditary cases.
  • The study involved a Portuguese family with multiple members affected by cardiomyopathy and other systemic issues, highlighting the impact of the P32L variant through biochemical comparisons with other β2-microglobulin mutations.
  • Findings revealed that the P32L mutation was due to a specific dinucleotide alteration, leading to its exclusive accumulation in amyloid deposits and demonstrating its instability and tendency to form harmful oligomeric structures, emphasizing its central role in amyloid disease development.
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Purpose: To better understand the pathophysiology of lichen sclerosus (LS) urethral stricture disease (USD), we aimed to investigate expression profiles of microRNAs (miRNAs) in tissue samples from men undergoing urethroplasty.

Methods: Urethral stricture tissue was collected from 2005-2020. Histologic features diagnostic of LS were the basis of pathologic evaluation.

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Introduction: Although three randomized control trials have proven mortality benefit of CT lung cancer screening (CTLS), <5% of eligible US smokers are screened. Some attribute this to fear of harm conveyed at shared decision visits, including the harm of overdiagnosis/overtreatment of indolent BAC-like adenocarcinoma.

Methods: Since the frequency of indolent cancers has not been compared between CTLS and routinely detected cohorts, we compare pathology and RNA expression of 86 NCCN high-risk CTLS subjects to 83 high-risk (HR-R) and 51 low-risk (LR-R) routinely detected patients.

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Biorepositories provide a critical resource for gaining knowledge of emerging infectious diseases and offer a mechanism to rapidly respond to outbreaks; the emergence of the novel coronavirus, SARS-CoV-2, has proved their importance. During the COVID-19 pandemic, the absence of centralized, national biorepository efforts meant that the onus fell on individual institutions to establish sample repositories. As a safety-net hospital, Boston Medical Center (BMC) recognized the importance of creating a COVID-19 biorepository to both support critical science at BMC and ensure representation in research for its urban patient population, most of whom are from underserved communities.

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Introduction/background: The USPSTF (United States Preventive Services Task Force) guidelines suggest criteria centering on smoking status and age to select patients for lung cancer screening. Despite the significant advances in screening with low-dose computed tomography (LDCT), cancer detection rate is low (1.1%), highlighting the need to investigate possible ways to refine the current lung cancer screening strategy.

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Background: Lung CT Screening Reporting and Data System (LungRADS) Category 4 represents lung nodules with the highest likelihood of cancer. For LungRADS-4 lesions, if positron emission tomography (PET) is negative, no uniform guideline currently exists on subsequent follow-up, particularly whether the surveillance interval can be extended. We sought to investigate the incidence of cancer, our surveillance practice, and any clinical factors associated with cancer in this patient subset.

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Severe COVID-19 results in a glucocorticoid responsive form of acute respiratory distress (ARDS)/diffuse alveolar damage (DAD). Herein we compare the immunopathology of lung tissue procured at autopsy in patients dying of SARS-CoV-2 with those dying of DAD prior to the COVID-19 pandemic. Autopsy gross and microscopic features stratified by duration of illness in twelve patients who tested positive for SARS-CoV-2 viral RNA, as well as seven patients dying of DAD prior to the COVID-19 pandemic were evaluated with multiplex (5-plex: CD4, CD8, CD68, CD20, AE1/AE3) and SARS-CoV immunohistochemistry to characterize the immunopathologic stages of DAD.

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Primary pulmonary extra-nodal marginal zone lymphoma of mucosa-associated lymphoid tissue (MALT lymphoma), also known as bronchus-associated lymphoid tissue (BALT lymphoma), is the most common primary pulmonary lymphoma but is rare (<1%) among all non-Hodgkin lymphomas and among pulmonary neoplasms in general. We herein report the case of a 59-year-old male who presented with stable exertional dyspnoea and persistent lung infiltrates who was referred to our hospital for further assessment. A computed tomography (CT)-guided core biopsy was performed showing a dense lymphoid infiltrate, with further testing revealing the diagnosis of pulmonary MALT lymphoma.

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Background: Pulmonary actinomycosis is a rare and slowly progressive bacterial infection that is often mistaken for lung cancer. Multiple case reports caution against premature diagnosis of malignancy without proper consideration of potential infection. However, no cases in the English literature have been reported that demonstrate the possible coexistence of and lung cancer.

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Pulmonary sclerosing pneumocytoma (PSP) is a benign tumor originating from primitive respiratory epithelium which tends to present as an asymptomatic solitary lesion in the periphery of the lung. It primarily occurs in women, with a 5:1 ratio of female to male, and in East Asian populations. We describe a rare case of a gallium-68 (Ga)-DOTATATE avid PSP in a middle-aged man of North African ancestry.

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Background: MicroRNAs (miRNAs), a group of non-coding post-transcriptional regulators of gene expression, are dysregulated in clear cell renal cell carcinoma (ccRCC) and play an important role in carcinogenesis. Our prior work identified a subset of miRNAs in pT1 ccRCC tumors associated with progression to metastatic disease.

Objective: To investigate the impact of two of these dysregulated miRNA, miR-15a-5p and -26a-5p, in an effort to elucidate the mechanisms underpinning aggressive forms of stage I ccRCC.

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