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66 results for “tumor-infiltrating lymphocytes”
Tet2 inactivation enhances the anti-tumor activity of tumor-infiltrating lymphocytes
GEO Series GSE152496. Mus musculus. 20 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Single-cell RNA sequencing (scRNA-Seq) analysis of tumor-infiltrating lymphocytes (TILs) from B16-F0 melanoma in mice
GEO Series GSE298324. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Dataset related to article "Tumor-Infiltrating Lymphocytes and Macrophages in Intrahepatic Cholangiocellular Carcinoma. Impact on Prognosis after Complete Surgery."
<p>BACKGROUND:</p> <p>Immune infiltrate impacts prognosis of several tumors. To assess the prognostic impact of tumor-infiltrating lymphocytes and macrophages in patients undergoing resection for intrahepatic cholangiocellular carcinoma (ICC).</p> <p>METHODS:</p> <p>All consecutive patients undergoing surgery for ICC between 2008 and 2016 were considered. Inclusion criteria were complete resection and follow-up > 12 months. Tissue sections were immunostained for CD3+, CD4+, CD8+, Foxp3+, and CD68+. The number of positive cells was quantified using a computer-aided image analysis system. Different cut-off values were tested as predictors of overall survival (OS).</p> <p>RESULTS:</p> <p>Fifty-three patients were analyzed. ICC were T1 in 28 patients, multifocal in 11, and N+ in 13. After a median follow-up of 42 months, 5-year OS was 52.1%. The following immune infiltrate values were associated with better OS: CD3+ > 0.10% (5-year OS 63.3% vs. 13.6% if ≤ 0.10%, p = 0.001); CD8+ > 0.10% (56.2% vs. 28.6% if ≤ 0.10%, p = 0.051); Foxp3+ absent (59.4% vs. 16.0% if present, p = 0.049). CD4+ and CD68+ infiltrates were not associated with OS. Three-year OS rates in patients with 0, 1, and ≥ 2 negative prognostic factors were 73.6%, 47.3%, and 14.3%, respectively (p < 0.001). CD3+ infiltrate stratified prognosis in T1 tumors (3-year OS 71.7% if CD3+ > 0.10% vs. 14.3% if ≤ 0.10%, p < 0.001).</p> <p>CONCLUSIONS:</p> <p>Tumor-infiltrating lymphocytes are associated with prognosis of ICC patients after complete surgery. CD3+ and CD8+ infiltrate is associated with higher survival and lower recurrence risk, while Foxp3+ infiltrate is associated with worse prognosis. CD3+ infiltrate allows refining prediction of prognosis in early tumors.</p>
Single-cell transcriptome analysis reveals functional changes in tumor-infiltrating B lymphocytes after chemotherapy in esophageal squamous cell carcinoma
GEO Series GSE199619. Homo sapiens. 7 samples. Type: Expression profiling by high throughput sequencing; Third-party reanalysis.
Dataset related to article "Combined low densities of FoxP3+ and CD3+ tumor-infiltrating lymphocytes identify stage II colorectal cancer at high risk of progression"
<p>The densities of CD3<sup>+</sup> and CD8<sup>+</sup> tumor-infiltrating lymphocytes (TILs), combined with tumor-node-metastasis (TNM) staging, have prognostic value for patients with nonmetastatic colorectal cancer. We compared the prognostic value of CD3<sup>+</sup> and FoxP3<sup>+</sup> TILs at the invasive front, TNM classifiers, and microsatellite (MS) status in a trial set of patients with stage II and III colorectal cancer (<em>n</em> = 413), by recursive partitioning with a classification and regression tree (CART). Significant prognostic factors and interactions were reassessed by logistic regression and Cox proportional-hazards modeling in the trial and a validation set (<em>n</em> = 215) of patients with stage II colorectal cancer. In the trial set, CART indicated that TIL numbers were of value only in predicting recurrence risk for stage II cancers, where low densities of FoxP3<sup>+</sup> TILs ranked first and low densities of CD3<sup>+</sup> TILs further stratifying risk. Multivariate analysis showed that TILs interacted with tumor stage (FoxP3<sup>+</sup>, <em>P</em> = 0.06; CD3<sup>+</sup>, <em>P</em> = 0.02) and MS instability (MSI; FoxP3<sup>+</sup>; <em>P</em> = 0.02). In stage II MS-stable cancers, concomitant low densities of both FoxP3<sup>+</sup> and CD3<sup>+</sup> TILs identified patients with the highest progression risk in the trial [HR 7.24; 95% confidence interval (CI), 3.41-15.4; <em>P</em> < 0.001] and the validation (HR 15.16; 95% CI, 3.43-66.9; <em>P</em> < 0.001) sets. FoxP3<sup>+</sup> and CD3<sup>+</sup> TIL load in colorectal cancer was more informative than other prognostic factors before the cancer progressed to lymph nodes. This prognostic information about TILs, including FoxP3<sup>+</sup> cells, suggests that randomized controlled trials might be refined to include interactions between TNM status, molecular classifiers, and postsurgical treatments.</p>
EZH2 protects tumor-infiltrating lymphocytes from metabolic-stress induced cell death and exhaustion
GEO Series GSE142454. Mus musculus. 6 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.