Dataset Information

Protocol to establish a lung adenocarcinoma immunotherapy allograft mouse model with FACS and immunofluorescence-based analysis of tumor response.

ABSTRACT: Anti-PD-1/PD-L1 therapy shows long-term effects in many cancer types, but resistance and relapse remain the main limitations of this therapy. Here, we describe a protocol to evaluate the tumor response to immunotherapy in a mouse lung cancer model. The protocol includes the establishment of the lung cancer mouse model, anti-PD-1 treatment, tumor-infiltrating lymphocyte isolation, immunofluorescence, and flow cytometry analysis. This protocol can also be applied to other cancer types and immunotherapies. For complete details on the use and execution of this protocol, please refer to Yu et al. (2021).

SUBMITTER: Peng Z

PROVIDER: S-EPMC8209678 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature

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Protocol to establish a lung adenocarcinoma immunotherapy allograft mouse model with FACS and immunofluorescence-based analysis of tumor response.

Peng Zhengxin Z Yu Man M Lin Jiaming J Dong Tianqi T Zhang Xiao X Shi Mingjun M Qin Min M Li Shasha S Guo Wencong W Zhang Huixia H Sun Shuguo S

STAR protocols 20210611 2

Anti-PD-1/PD-L1 therapy shows long-term effects in many cancer types, but resistance and relapse remain the main limitations of this therapy. Here, we describe a protocol to evaluate the tumor response to immunotherapy in a mouse lung cancer model. The protocol includes the establishment of the lung cancer mouse model, anti-PD-1 treatment, tumor-infiltrating lymphocyte isolation, immunofluorescence, and flow cytometry analysis. This protocol can also be applied to other cancer types and immunoth ...[more]

PMID: 34169289

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Project description:BackgroundLung adenocarcinoma (LUAD) has become one of the most lethal cancers, for which the recurrence and survival rates remain unfavorable. The tumor necrosis factor (TNF) family is involved in tumorigenesis and tumor progression. Various long non-coding RNAs (lncRNAs) play important roles by mediating the TNF family in cancer. Therefore, this study aimed to construct a TNF-related lncRNA signature to predict prognosis and immunotherapy response in LUAD.MethodsThe expression of TNF family members and their related lncRNAs in a total of 500 enrolled LUAD patients was collected from The Cancer Genome Atlas (TCGA). Univariate Cox and the least absolute shrinkage and selection operator (LASSO)-Cox analysis was used to construct a TNF family-related lncRNA prognostic signature. Kaplan-Meier (KM) survival analysis was used to evaluate survival status. The time-dependent area under the receiver operating characteristic (ROC) curve (AUC) values were used to assess the predictive value of the signature to 1-, 2-, and 3-year overall survival (OS). Gene Ontology (GO) functional annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were applied to identify the signature-related biological pathways. Furthermore, tumor immune dysfunction and exclusion (TIDE) analysis was employed to evaluate immunotherapy response.ResultsA total of 8 TNF-related lncRNAs significantly associated with OS of LUAD patients were used to construct a TNF family-related lncRNA prognostic signature. According to risk score, these patients were divided into high- and low-risk subgroups. The KM survival analysis indicated that patients in the high-risk group showed significantly less favorable OS than that of low-risk group. The AUC values in predicting 1-, 2-, and 3-year OS were 0.740, 0.738, and 0.758, respectively. Moreover, the GO and KEGG pathway analyses demonstrated that these lncRNAs were closely involved in immune-related signaling pathways. The further TIDE analysis indicated that high-risk patients had a lower TIDE score than that of low-risk patients, indicating that high-risk patients may be appropriate candidates for immunotherapy.ConclusionsFor the first time, this study constructed and validated a prognostic predictive signature of LUAD patients based on TNF-related lncRNAs, and the signature showed good performance to predict immunotherapy response. Therefore, this signature may provide new strategies for individualized treatment of LUAD patients.

Dataset Information

Protocol to establish a lung adenocarcinoma immunotherapy allograft mouse model with FACS and immunofluorescence-based analysis of tumor response.

Publications

Protocol to establish a lung adenocarcinoma immunotherapy allograft mouse model with FACS and immunofluorescence-based analysis of tumor response.

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