RESUMO
BACKGROUND: Twenty-five years ago, the Food and Drug Administration (FDA) asserted in a draft document that "home brew" tests-now commonly referred to as laboratory-developed tests (LDTs)-are subject to the same regulatory oversight as other in vitro diagnostics (IVDs)4. In 2010, the FDA began work on developing a proposed framework for future LDT oversight. Released in 2014, the draft guidance sparked an intense debate over potential LDT regulation. While the proposed guidance has not been implemented, many questions regarding LDT oversight remain unresolved. CONTENT: This review provides an overview of federal statutes and regulations related to IVDs and clinical laboratory operations, with a focus on those potentially applicable to LDTs and proposed regulatory efforts. Sources reviewed include the Code of Federal Regulations, the Federal Register, congressional hearings, guidance and policy documents, position statements, published literature, and websites. SUMMARY: Federal statutes regarding IVDs were passed without substantive evidence of congressional consideration toward the concept of LDTs. The FDA has clear oversight authority over IVD reagents introduced into interstate commerce. A 16-year delay in publicly asserting FDA authority over LDTs, the pursuit of a draft guidance approach toward oversight, and establishment of regulations under the Clinical Laboratory Improvement Amendments of 1988 (CLIA'88) applicable to LDTs contributed to community uncertainty toward LDT oversight. Future regulatory and/or legislative efforts may be required to resolve this uncertainty.
Assuntos
Serviços de Laboratório Clínico/legislação & jurisprudência , Técnicas de Laboratório Clínico , Laboratórios/legislação & jurisprudência , Legislação de Dispositivos Médicos , Testes Genéticos/legislação & jurisprudência , Humanos , Estados Unidos , United States Food and Drug AdministrationRESUMO
Epithelioid osteoblastomas (EOB) typically arise in the axial skeleton of young adults, but there are rare case reports of the lesion arising in soft tissue. To date, only 1 case has been reported in the skin, and it has been debated in the literature if that case was truly a neoplasm. With the availability of the new osteoblastic marker SAT2B, the authors present a case of an EOB with confirmed osteoblastic differentiation arising in the tattooed skin of a 32-year-old army veteran. Despite the rarity of the neoplasm, 2 other cases of soft tissue EOB are reported in the literature, also involving military servicemembers. The identification of this unique tumor solely in military personnel is likely due to the relatively high proportion of young males represented in the military, the demographic most likely to develop osteoblastomas. Less likely, the authors postulate the possible existence of an occupational risk factor for soft tissue EOB in military service.
Assuntos
Células Epitelioides/patologia , Osteoblastoma/patologia , Neoplasias Cutâneas/patologia , Adulto , Biomarcadores Tumorais/análise , Biópsia , Células Epitelioides/química , Humanos , Imuno-Histoquímica , Masculino , Proteínas de Ligação à Região de Interação com a Matriz/análise , Recidiva Local de Neoplasia , Neoplasia Residual , Osteoblastoma/química , Osteoblastoma/cirurgia , Neoplasias Cutâneas/química , Neoplasias Cutâneas/cirurgia , Tatuagem , Fatores de Tempo , Fatores de Transcrição/análise , Resultado do TratamentoRESUMO
OBJECTIVES: To assess and improve the assistive role of a deep, densely connected convolutional neural network (CNN) to hematopathologists in differentiating histologic images of Burkitt lymphoma (BL) from diffuse large B-cell lymphoma (DLBCL). METHODS: A total of 10,818 images from BL (nâ =â 34) and DLBCL (nâ =â 36) cases were used to either train or apply different CNNs. Networks differed by number of training images and pixels of images, absence of color, pixel and staining augmentation, and depth of the network, among other parameters. RESULTS: Cases classified correctly were 17 of 18 (94%), nine with 100% of images correct by the best performing network showing a receiver operating characteristic curve analysis area under the curve 0.92 for both DLBCL and BL. The best performing CNN used all available training images, two random subcrops per image of 448â ×â 448 pixels, random H&E staining image augmentation, random horizontal flipping of images, random alteration of contrast, reduction on validation error plateau of 15 epochs, block size of six, batch size of 32, and depth of 22. Other networks and decreasing training images had poorer performance. CONCLUSIONS: CNNs are promising augmented human intelligence tools for differentiating a subset of BL and DLBCL cases.
Assuntos
Linfoma de Burkitt/diagnóstico , Linfoma Difuso de Grandes Células B/diagnóstico , Redes Neurais de Computação , Linfoma de Burkitt/patologia , Diagnóstico Diferencial , Humanos , Linfoma Difuso de Grandes Células B/patologiaRESUMO
PURPOSE: Clear cell renal cell carcinoma (ccRCC) is frequently associated with inactivation of the von Hippel-Lindau tumor suppressor, resulting in activation of HIF-1α and HIF-2α. The current paradigm, established using mechanistic cell-based studies, supports a tumor promoting role for HIF-2α, and a tumor suppressor role for HIF-1α. However, few studies have comprehensively examined the clinical relevance of this paradigm. Furthermore, the hypoxia-associated factor (HAF), which regulates the HIFs, has not been comprehensively evaluated in ccRCC. EXPERIMENTAL DESIGN: To assess the involvement of HAF/HIFs in ccRCC, we analyzed their relationship to tumor grade/stage/outcome using tissue from 380 patients, and validated these associations using tissue from 72 additional patients and a further 57 patients treated with antiangiogenic therapy for associations with response. Further characterization was performed using single-cell mRNA sequencing (scRNA-seq), RNA-in situ hybridization (RNA-ISH), and IHC. RESULTS: HIF-1α was primarily expressed in tumor-associated macrophages (TAMs), whereas HIF-2α and HAF were expressed primarily in tumor cells. TAM-associated HIF-1α was significantly associated with high tumor grade and increased metastasis and was independently associated with decreased overall survival. Furthermore, elevated TAM HIF-1α was significantly associated with resistance to antiangiogenic therapy. In contrast, high HAF or HIF-2α were associated with low grade, decreased metastasis, and increased overall survival. scRNA-seq, RNA-ISH, and Western blotting confirmed the expression of HIF-1α in M2-polarized CD163-expressing TAMs. CONCLUSIONS: These findings highlight a potential role of TAM HIF-1α in ccRCC progression and support the reevaluation of HIF-1α as a therapeutic target and marker of disease progression.
Assuntos
Biomarcadores Tumorais/metabolismo , Carcinoma de Células Renais/mortalidade , Subunidade alfa do Fator 1 Induzível por Hipóxia/metabolismo , Neoplasias Renais/mortalidade , Macrófagos Associados a Tumor/metabolismo , Adulto , Idoso , Idoso de 80 Anos ou mais , Fatores de Transcrição Hélice-Alça-Hélice Básicos/análise , Fatores de Transcrição Hélice-Alça-Hélice Básicos/metabolismo , Biomarcadores Tumorais/análise , Carcinoma de Células Renais/diagnóstico , Carcinoma de Células Renais/genética , Carcinoma de Células Renais/terapia , Linhagem Celular Tumoral , Quimioterapia Adjuvante , Progressão da Doença , Feminino , Regulação Neoplásica da Expressão Gênica , Genes Supressores de Tumor , Humanos , Subunidade alfa do Fator 1 Induzível por Hipóxia/análise , Neoplasias Renais/diagnóstico , Neoplasias Renais/genética , Neoplasias Renais/terapia , Masculino , Pessoa de Meia-Idade , Gradação de Tumores , Estadiamento de Neoplasias , Nefrectomia , Prognóstico , RNA-Seq , Estudos Retrospectivos , Análise de Célula Única , Análise de Sobrevida , Macrófagos Associados a Tumor/imunologiaRESUMO
OBJECTIVES: To determine whether different laboratory developed test (LDT) risk stratification proposals would assign differing levels of risk to selected LDTs as a measure of the validity of those proposals, and whether there would be differing interrater agreement rates as a measure of the reliability of those proposals. METHODS: A total of 4 reviewers applied 6 proposals for risk stratification of 4 LDTs. Interrater agreement was calculated as a measure of the reliability of the proposals. Also, a consensus risk categorization and concordance rate for each LDT was developed as a measure of the validity of the proposals. RESULTS: Interrater agreement rates (reliability) ranged from 38% to 100%, and concordance rates (validity) ranged from 20% to 100%. CONCLUSIONS: A spectrum of reliability and validity was observed depending on the policy used and the LDT categorized. Before implementation or legislation of risk-stratification methods, large evaluations of reliability and validity should be conducted on any proposed method.