Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 5 de 5
Filtrar
Más filtros











Base de datos
Intervalo de año de publicación
1.
bioRxiv ; 2024 Aug 19.
Artículo en Inglés | MEDLINE | ID: mdl-39229153

RESUMEN

The multiplexed immunofluorescence (mIF) platform enables biomarker discovery through the simultaneous detection of multiple markers on a single tissue slide, offering detailed insights into intratumor heterogeneity and the tumor-immune microenvironment at spatially resolved single cell resolution. However, current mIF image analyses are labor-intensive, requiring specialized pathology expertise which limits their scalability and clinical application. To address this challenge, we developed CellGate, a deep-learning (DL) computational pipeline that provides streamlined, end-to-end whole-slide mIF image analysis including nuclei detection, cell segmentation, cell classification, and combined immuno-phenotyping across stacked images. The model was trained on over 750,000 single cell images from 34 melanomas in a retrospective cohort of patients using whole tissue sections stained for CD3, CD8, CD68, CK-SOX10, PD-1, PD-L1, and FOXP3 with manual gating and extensive pathology review. When tested on new whole mIF slides, the model demonstrated high precision-recall AUC. Further validation on whole-slide mIF images of 9 primary melanomas from an independent cohort confirmed that CellGate can reproduce expert pathology analysis with high accuracy. We show that spatial immuno-phenotyping results using CellGate provide deep insights into the immune cell topography and differences in T cell functional states and interactions with tumor cells in patients with distinct histopathology and clinical characteristics. This pipeline offers a fully automated and parallelizable computing process with substantially improved consistency for cell type classification across images, potentially enabling high throughput whole-slide mIF tissue image analysis for large-scale clinical and research applications.

2.
Clin Cancer Res ; 30(16): 3407-3415, 2024 Aug 15.
Artículo en Inglés | MEDLINE | ID: mdl-38767650

RESUMEN

PURPOSE: The Adaptively Dosed ImmunoTherapy Trial (ADAPT-IT;NCT03122522) investigated adaptive ipilimumab discontinuation in melanoma based on early radiographic assessment. Initial findings indicated similar effectiveness compared with conventional nivolumab-ipilimumab (nivo-ipi). Exploratory biomarker analyses and final clinical results are now reported. PATIENTS AND METHODS: Patients with unresectable melanoma received two doses of nivo-ipi. Radiographic assessment at Week 6 informed continuation of ipilimumab before nivolumab maintenance. The primary endpoint was overall response rate at Week 12. Plasma was assayed for circulating tumor DNA and 10 cytokines using a multiplex immunoassay. Flow cytometry of peripheral blood mononuclear cells was performed with an 11-color panel. RESULTS: Among the treated patients, expansion of proliferating T-cell populations was observed in responders and nonresponders. Baseline IL6 levels were low in patients achieving an objective radiographic response (median 1.30 vs. 2.86 pg/mL; P = 0.025). High baseline IL6 levels were associated with short progression-free survival [PFS; HR = 1.24, 95% confidence interval (CI), 1.01-1.52; P = 0.041]. At Week 6, patients with response had lower average tumor variant allele fractions than nonresponders (median 0.000 vs. 0.019; P = 0.014). Greater increases in average variant allele fractions from baseline to Week 6 correlated with short PFS (HR = 1.11, 95% CI, 1.01-1.21; P = 0.023). Week 12 overall response rate was 47% (95% CI, 35%-59%) with a median follow-up of 34 months among survivors. Median PFS was 21 months (95% CI, 10-not reached); 76% of responses (95% CI, 64%-91%) persisted at 36 months. CONCLUSIONS: Adaptively dosed nivo-ipi responses are durable and resemble historical data for conventional nivo-ipi. Baseline IL6 and circulating tumor DNA changes during treatment warrant further study as biomarkers of nivo-ipi response.


Asunto(s)
Protocolos de Quimioterapia Combinada Antineoplásica , Citocinas , Ipilimumab , Melanoma , Nivolumab , Humanos , Nivolumab/administración & dosificación , Ipilimumab/administración & dosificación , Masculino , Femenino , Persona de Mediana Edad , Melanoma/tratamiento farmacológico , Melanoma/patología , Melanoma/mortalidad , Anciano , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapéutico , Adulto , Citocinas/metabolismo , Linfocitos T/inmunología , Linfocitos T/metabolismo , Anciano de 80 o más Años , Biomarcadores de Tumor , ADN de Neoplasias , ADN Tumoral Circulante
3.
JTO Clin Res Rep ; 4(8): 100546, 2023 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-37644967

RESUMEN

Introduction: Treatment with lorlatinib for patients with advanced ALK- and ROS1-rearranged NSCLC (ALK+ and ROS1+ NSCLC) is associated with a unique set of adverse events (AEs) often requiring dose reduction. However, the impact of dose reductions on outcomes remains unclear and is mainly limited to analyses from prospective studies of lorlatinib in the first-line setting. Methods: We reviewed the course of 144 patients with advanced ALK- or ROS1-rearranged NSCLC treated with lorlatinib in the second-line or later setting to assess the frequency of dose reductions resulting from treatment-related AEs (TRAEs) and the association between dose reductions and progression-free survival (PFS) and overall survival (OS). Results: A total of 58 patients (40%) had TRAE-related dose reductions, most (59%) owing to neurocognitive AEs or neuropathy. Among all patients, the median PFS was 8.1 months (95% confidence interval [CI]: 6.4-11.8); the median OS was 20.7 months (95% CI: 16.3-30.5). Among patients who were started on lorlatinib 100 mg/d (n = 122), a Cox regression model with the occurrence of a dose reduction as a time-dependent covariate indicated no association between dose reduction and PFS (hazard ratio = 0.86, 95% CI: 0.54-1.39) or OS (hazard ratio = 0.78, 95% CI: 0.47-1.30). Conclusions: Lorlatinib dose reductions were not associated with inferior clinical outcomes in this multicenter analysis. Prompt identification of lorlatinib TRAEs and implementation of dose reductions may help maximize tolerability without compromising outcomes.

4.
Ann Surg Oncol ; 30(11): 6837-6842, 2023 Oct.
Artículo en Inglés | MEDLINE | ID: mdl-37479844

RESUMEN

BACKGROUND: The incidence of young-onset colon cancer is increasing. This study investigated the extent to which financial hardships associated with colon cancer care are associated with patient age. METHODS: A consecutive sample of patients with non-metastatic colon cancer who underwent resection at a comprehensive cancer center between 2017 and 2019 were retrospectively enrolled from a clinical database. Patients with one or more of the following events associated with their colon cancer care were categorized as having experienced financial toxicity: two or more bills sent to collections, application for a payment plan, settlement, bankruptcy, or enrollment in a financial assistance program. RESULTS: Of 764 patients identified, 157 (21 %) experienced financial toxicity. In a univariable analysis, financial toxicity was significantly associated with younger age, female sex, nonpartnered marital status, and median income by ZIP code area (p < 0.05). A multivariable analysis showed that with each 10-year decrease in patient age, the odds of financial toxicity increased by 30 % (odds ratio [OR], 1.30; 95 % confidence interval [CI], 1.14-1.48). With each $50,000 decrease in median income by ZIP code area, the odds of financial toxicity increased by 35 % (OR, 1.35; 95 % CI, 1.05-1.74). CONCLUSIONS: Younger patients with colon cancer are at greater risk for financial toxicity than older patients. As this population continues to grow, so will the need for timely and effective financial support mechanisms.


Asunto(s)
Neoplasias del Colon , Estrés Financiero , Humanos , Femenino , Estudios Retrospectivos , Bases de Datos Factuales
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA