Results 171 to 180 of about 5,610 (204)
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Identifying gut microbial signatures associated with B cells and tertiary lymphoid structures (TLS) in the tumor microenvironment (TME) in response to immune checkpoint blockade (ICB).

Journal of Clinical Oncology, 2022
2511 Background: While ICB has significantly improved clinical outcomes across several cancer types, only 15-20% of patients develop a durable response. Thus, novel and targetable biomarkers are needed. There is increased appreciation of the role of the gut microbiome, and TLS and B-cells in the TME in response to ICB.
Elise F Nassif   +19 more
openaire   +1 more source

Significance of intratumoral tertiary lymphoid structure (TLS) as predictictive factors of nivolumab therapy after conversion surgery for unresectable gastric cancer: A retrospective study.

Journal of Clinical Oncology, 2020
412 Background: Conversion surgery for unresectable advanced gastric cancer has been increasing with the development of chemotherapy. Adjuvant chemotherapy regimens after conversion surgery have not been standardized. The main mechanism of nivolumab is augmentation of antitumor immune response of tumor infiltrating cytotoxic T cells (CTL) to cancer ...
Hiroaki Tanaka   +5 more
openaire   +1 more source

Artificial intelligence (AI) –powered H&E whole-slide image (WSI) analysis of tertiary lymphoid structure (TLS) correlates with immune phenotype and related molecular signatures in non–small-cell lung cancer.

Journal of Clinical Oncology, 2023
e20520 Background: Recent data suggested immune infiltrates in TLS around tumor bed may be a favorable predictive factor for immunotherapy in various cancers. TLS have been suggested to be correlated with inflamed immune phenotype and relevant inflammatory gene signatures of adaptive immunity.
Sanghoon Song   +11 more
openaire   +1 more source

Abstract 4909: An RNA-based model for tertiary lymphoid structure (TLS) prediction and classification in pancreatic adenocarcinoma (PDAC)

Cancer Research
Abstract Although TLS status possesses prognostic significance in PDAC and can potentially affect chemotherapy outcomes, there is currently a notable lack of RNA sequencing (RNA-seq) models that specialize in TLS identification and classification in PDAC. Here, we developed a model for predicting TLS status (high or low) based on RNA-seq
Alexandra Livanova   +11 more
openaire   +1 more source

Abstract P2-08-47: Evaluation of stromal tumor-infiltrating lymphocytes (sTIL) and tertiary lymphoid structures (TLS) in early breast cancer patients with triple negative breast cancer(TNBC) included in a prospective study of neoadjuvant chemotherapy (NAC) with Epirubicin and cyclophosphamide (EC) and carboplatin-paclitaxel (PC) (BSMO 2014-01)

Cancer Research, 2019
Abstract Background: BSMO 2014-01 is a completed prospective phase 2 study evaluating the efficacy of neoadjuvant EC and PC. One of the secondary endpoints was the correlation of sTIL with response, pCR and survival. We also assessed the relationship between sTIL and TLS in the diagnostic biopsies.
C Fontaine   +13 more
openaire   +1 more source

A comprehensive evaluation of gene expression-based signatures for detecting tertiary lymphoid structures (TLS) in metastatic renal cell carcinoma (mRCC).

Journal of Clinical Oncology
591 Background: TLS are organized lymphoid aggregates linked to improved response to immunotherapy in multiple cancers, including mRCC. Traditionally, TLS assessment relies on pathological staining of tumor sections.
Eddy Saad   +17 more
openaire   +1 more source

Abstract 6826: Comparative analysis of a predictive transcriptomic model and functional gene expression signatures (FGES) for tertiary lymphoid structure (TLS) detection in lung adenocarcinoma (LUAD)

Cancer Research
Abstract Background: TLS are recognized as significant biomarkers for patient prognosis and therapy selection. In current clinical practice, TLS are often detected by manual assessment of H&E slides, which has been associated with reproducibility issues.
Nadezhda Lukashevich   +10 more
openaire   +1 more source

Artificial intelligence (AI) -powered H&E whole-slide image (WSI) analysis of tertiary lymphoid structure (TLS) to predict response to immunotherapy in non-small cell lung cancer (NSCLC).

Journal of Clinical Oncology
3135 Background: Recent data indicate that immune cells present in the TLS within the tumor microenvironment (TME) could potentially serve as a favorable predictor for immune checkpoint inhibitor (ICI) therapy. To examine this further, AI model was created to provide an assessment of TLS in H&E WSI, and to determine its correlation with survival ...
Leeseul Kim   +7 more
openaire   +1 more source

Abstract PO4-25-04: MHC Class I and II Expression, Functional Tertiary Lymphoid Structure (TLS), and Outcomes in Early-Stage HER2-Positive (HER2+) Breast Cancer in NCCTG N9831 (Alliance)

Cancer Research
Abstract Background: Tertiary lymphoid structure (TLS) is an organized form of ectopic lymphoid aggregates (LA) with secondary lymphoid organ structure. Several studies showed that the presence of TLS associates with improved outcomes in multiple cancers when treated with immune checkpoint inhibitors.
Saranya Chumsri   +9 more
openaire   +1 more source

Abstract 3358: Tertiary lymphoid structures (TLS) estimated by AI tools from digital H&E slides significantly enhance survival prediction in high-risk AJCC stages III/IV melanoma

Cancer Research
Abstract Tertiary lymphoid structures (TLS) in tumors have emerged as novel disease prognostic and predictive biomarkers with immunotherapy. Recent advances in whole-slide image (WSI) digitization of pathology slides and AI tools are making in situ prediction of TLS more feasible. Methods:
Ahmad A. Tarhini   +9 more
openaire   +1 more source

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