Tumor mutation burden, immune checkpoint crosstalk and radiosensitivity in single-cell RNA sequencing data of breast cancer

Jang, Bong Seok; Han, Won‐Sik; Kim, In Ah

doi:10.1016/j.radonc.2019.11.003

Cited by 50 publications

(34 citation statements)

References 45 publications

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“…Both M1 and M2-like phenotypes were identified, and their presence showed a high correlation with each other, suggesting that M1 and M2 macrophages coexists and may not be polarized [21]. The suppressive nature of TAMs is illustrated by the substantial subset of macrophages in breast tumors that express PD-L1, IDO and other immune checkpoints [19,24,85].…”

Section: Myeloid Cell Phenotypes and Spatial Patternsmentioning

confidence: 99%

A High-Dimensional Window into the Micro-Environment of Triple Negative Breast Cancer

Nederlof

Horlings

Curtis

et al. 2021

Cancers

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Providing effective personalized immunotherapy for triple negative breast cancer (TNBC) patients requires a detailed understanding of the composition of the tumor microenvironment. Both the tumor cell and non-tumor components of TNBC can exhibit tremendous heterogeneity in individual patients and change over time. Delineating cellular phenotypes and spatial topographies associated with distinct immunological states and the impact of chemotherapy will be necessary to optimally time immunotherapy. The clinical successes in immunotherapy have intensified research on the tumor microenvironment, aided by a plethora of high-dimensional technologies to define cellular phenotypes. These high-dimensional technologies include, but are not limited to, single cell RNA sequencing, spatial transcriptomics, T cell repertoire analyses, advanced flow cytometry, imaging mass cytometry, and their integration. In this review, we discuss the cellular phenotypes and spatial patterns of the lymphoid-, myeloid-, and stromal cells in the TNBC microenvironment and the potential value of mapping these features onto tumor cell genotypes.

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Section: Myeloid Cell Phenotypes and Spatial Patternsmentioning

confidence: 99%

A High-Dimensional Window into the Micro-Environment of Triple Negative Breast Cancer

Nederlof

Horlings

Curtis

et al. 2021

Cancers

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“…These inhibitors have become a hot topic in the research of various tumor immunotherapies, including breast cancer (1). Tumor mutation burden (TMB), one of the biomarkers that has a greater correlation with the efficacy of the PD-1 antibody, can reflect the total number of mutations carried by tumor cells and has been proven to play an important role in the treatment of a variety of cancers with mutations, including breast cancer and rectal cancer (2)(3)(4). It is worth noting that the corresponding neoantigen levels in tumor cells with high TMB are correspondingly higher and can further enhance the immunogenicity of the tumor, help the immune system recognize the tumor, and stimulate the proliferation and antitumor response of anti-tumor T cells, thereby improving the patient's response to cancer immunotherapy (5).…”

Section: Introductionmentioning

confidence: 99%

Tumor Mutation Burden and Immune Invasion Characteristics in Triple Negative Breast Cancer: Genome High-Throughput Data Analysis

Gao

Liu

et al. 2021

Front. Immunol.

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In recent years, the emergence of immunotherapy has provided a new perspective for the treatment and management of triple-negative breast cancer (TNBC). However, the relationship between tumor mutation burden (TMB) and immune infiltration and the prognosis of TNBC remains unclear. In this study, to explore the immunogenicity of TNBC, we divided patients with TNBC into high and low TMB groups based on the somatic mutation data of TNBC in The Cancer Genome Atlas (TCGA), and screened out genes with mutation rate ≥10. Then, Kaplan-Meier survival analysis revealed that the 5-year survival rate of the high TMB group was much higher than that of the low TMB group and the two groups also showed differences in immune cell infiltration. Further exploration found that the FAT3 gene, which displays significant difference and a higher mutation rate between the two groups, is not only significantly related to the prognosis of TNBC patients but also exhibits difference in immune cell infiltration between the wild group and the mutant group of the FAT3 gene. The results of gene set enrichment analysis and drug sensitivity analysis further support the importance of the FAT3 gene in TNBC. This study reveals the characteristics of TMB and immune cell infiltration in triple-negative breast cancer and their relationship with prognosis, to provide new biomarkers and potential treatment options for the future treatment of TNBC. The FAT3 gene, as a risk predictor gene of TNBC, is considered a potential biological target and may provide new insight for the treatment of TNBC.

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“…Tumor mutation burden (TMB) is defined as the total replacement and insertion/deletion mutation number for each megabase in the exon coding region regarding the evaluated gene of a tumor sample (Galuppini et al, 2019). It is a new biomarker for predicting the benefit of the treatment of tumor immune checkpoint inhibitors (ICIs) for various kinds of tumors (Goodman et al, 2017), such as lung cancer, colorectal cancer, prostate cancer, and breast cancer (Antonarakis, 2019;Schrock et al, 2019;Alborelli et al, 2020;Jang et al, 2020). Although increasing evidence has shown that the higher the TMB is, the more new antigens can be recognized by T cells and the better the effect of immunotherapy is (Kim et al, 2019), research on the interaction between TMB and HCC prognosis is still relatively insufficient.…”

Section: Introductionmentioning

confidence: 99%

A Prognostic Model of 15 Immune-Related Gene Pairs Associated With Tumor Mutation Burden for Hepatocellular Carcinoma

Huo

Zang

2020

Front. Mol. Biosci.

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Tumor mutation burden, immune checkpoint crosstalk and radiosensitivity in single-cell RNA sequencing data of breast cancer

Cited by 50 publications

References 45 publications

A High-Dimensional Window into the Micro-Environment of Triple Negative Breast Cancer

A High-Dimensional Window into the Micro-Environment of Triple Negative Breast Cancer

Tumor Mutation Burden and Immune Invasion Characteristics in Triple Negative Breast Cancer: Genome High-Throughput Data Analysis

A Prognostic Model of 15 Immune-Related Gene Pairs Associated With Tumor Mutation Burden for Hepatocellular Carcinoma

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