TLS gene signature

In conclusion, we generated a prognostic TLS Score representative of the TLS heterogeneity and maturity undergoing within NSCLC tissues. This score could be used as a tool to explore how TLS presence and maturity impact the organization of the tumor microenvironment and support the discovery of spatial biomarker surrogates of TLS maturity, that could be used in the clinic.

Co-expression network analysis of inflammation- and immune-related CHGs allowed us to identify genes that share a standard function in cancer immunity and have a high prognostic predictive value. This analytical approach may contribute to the identification of prognostic genes in TLS.

High TLS gene expression signatures, particularly in the highest quartile, are associated with favorable outcomes in patients with high TMB or MSI-High status treated with pembrolizumab. These findings suggest that TLS status could serve as a potent biomarker to stratify patients more likely to benefit from ICI therapy, advocating for its integration into routine clinical assessments prior to ICI treatment in these specific group of patients.

We assessed gene signatures indicative of B cell infiltration/TLS presence (Messina et al., 2012; Goc et al., 2014; Cabrita et al., 2020; Meylan, et al., 2022), correlating these with clinical outcomes, including overall survival (OS) and time on treatment (TOT) for ICIs such as pembrolizumab, nivolumab, and ipilimumab. This large TLS atlas based on real-world data demonstrate that TLS gene is a robust biomarker for predicting responses to immunotherapy in solid tumors.

Immunological analysis indicated a correlation between TLS and immune cell infiltration in HNSCC. These findings provide a theoretical basis for future applications of TLS signature in HNSCC prognosis and immunotherapy.

LR-HCC is clinicopathologically and molecularly distinct and shows better prognosis compared to C-HCC. Also, the presence of secondary follicle can be an important prognostic marker for better prognosis in both LR-HCC and C-HCC.

Our findings demonstrate the functional importance of distinct B cell subsets in the prognosis of NPC. Additionally, we confirmed that B cells and TLS may serve as prognostic biomarkers of survival for NPC patients.

These results suggest that immune tumor microenvironment status, such as mature B cell recruitment featuring the TLS gene signature and immune activation mediated by cancer signal down-regulation, might contribute to the classification of SMARCA4 gene-mutated tumors as immune checkpoint blockade therapy-sensitive target tumors.

In conclusion, the G8plus score is a powerful biomarker for predicting the risk of recurrence in patients with stage II/III CRC. It can be used to stratify patients who benefit from ACT and immunotherapy.