Treatment of advanced non-small cell lung cancer with driver mutations: current applications and future directions / 医学前沿

With the improved understanding of driver mutations in non-small cell lung cancer (NSCLC), expanding the targeted therapeutic options improved the survival and safety. However, responses to these agents are commonly temporary and incomplete. Moreover, even patients with the same oncogenic driver gene can respond diversely to the same agent. Furthermore, the therapeutic role of immune-checkpoint inhibitors (ICIs) in oncogene-driven NSCLC remains unclear. Therefore, this review aimed to classify the management of NSCLC with driver mutations based on the gene subtype, concomitant mutation, and dynamic alternation. Then, we provide an overview of the resistant mechanism of target therapy occurring in targeted alternations ("target-dependent resistance") and in the parallel and downstream pathways ("target-independent resistance"). Thirdly, we discuss the effectiveness of ICIs for NSCLC with driver mutations and the combined therapeutic approaches that might reverse the immunosuppressive tumor immune microenvironment. Finally, we listed the emerging treatment strategies for the new oncogenic alternations, and proposed the perspective of NSCLC with driver mutations. This review will guide clinicians to design tailored treatments for NSCLC with driver mutations.

MicroRNAs and exosomes: promising new biomarkers in acute myeloid leukemias?

ABSTRACT Despite advances in understanding of carcinogenesis and of treatment of acute myeloid leukemia, this neoplasm still has a lethality of at least 30%. The search for biomarkers that can predict the response to treatment in the early stages of the disease is still necessary. In recent years, a new form of cellular communication between tumor and non-neoplastic cells has been discovered: the exchange of information through extracellular vesicles. These are small vesicles released by membrane-coated cells that carry proteins, lipids, messenger RNAs, microRNA and DNA, which can be internalized and promote biological changes in target cells. Exosomes are qualified as a type of extracellular vesicle and, in tumors, carry immunoinhibitory signals that promote the escape of immune control. Recent studies have showed their involvement in communication with the cells of the tumor microenvironment and with chemoresistance in several tumors. To date, there is no information about immunoregulatory microRNAs transported by exosomes and their correlation with clinical evolution during chemotherapy for acute myeloid leukemia. Knowledge about immunomodulatory microRNAs obtained by leukemic cells and transported by exosomes can direct us towards the design of new diagnostic and treatment tools in this type of leukemia.

The Expression of RTN1 in Lung Adenocarcinoma and Its Effect on Immune Microenvironment / 中国肺癌杂志

BACKGROUND@#Reticulosome family gene 1 (RTN1) is a reticulosome-encoding gene associated with the endoplasmic reticulum. RTN1 plays a key role in membrane trafficking or neuroendocrine secretion of neuroendocrine cells, while RTN1 serves as a potential diagnostic/therapeutic marker for neurological diseases and cancer. However, the expression of RTN1 and its effect on the immune microenvironment in patients with lung adenocarcinoma have not been reported. In this study, we aimed to investigate the expression of RTN1 in lung adenocarcinoma and its correlation with immune infiltration and survival in lung adenocarcinoma using public databases and bioinformatics network tools.@*METHODS@#Expression levels of RTN1 mRNA in tumor and normal tissues were analyzed using Tumor Immune Estimation Resource 2.0 (TIMER 2.0) and Gene Expression Profiling Interactive Analysis 2 (GEPIA 2). RTN1 protein expression was examined using the Human Protein Atlas. The clinical prognostic significance of RTN1 was analyzed using the GEPIA2 plotter database. To further confirm the potential function of RTN1, the data were analyzed using gene set enrichment analysis. In addition, We performed dimensionality-reduced clustering analysis at the single-cell sequencing level on two datasets from the Tumor Immune Single-cell Hub (TISCH) database to observe the cellular clustering of RTN1 in different types of immune cells. Using the TIMER online tool to analyze and predict the infiltration abundance of different types of immune cells in the immune microenvironment of lung adenocarcinoma patients in the TCGA cohort; TIMER and CIBERSORT were used to study the relationship between genes co-expressed with RTN1 and its associated tumor-infiltrating immune cells; finally, TIMER was used to analyze the relationship between RTN1 and immune correlations between immune checkpoints.@*RESULTS@#We found that RTN1 expression was decreased in patients with lung adenocarcinoma and was closely related to patient prognosis. RTN1 is involved in the process of phagosome formation, hematopoietic cell formation and cell adhesion, and plays an important role in T cell activation. Using cBioPortal and TCGA data to analyze, it is found that RTN1 is significantly associated with BTK, CD4, ECSF1R, MNDA, NCKAP1L and SNX20. High expression of the above genes may cause significant upregulation of CD4+ T cells, mast cells, monocytes, myeloid dendritic cells and M1 macrophages. The expression of RTN1 is closely related to the common immune checkpoints CD274, CTLA4, HAVCR2, LAG3, PDCD1, PDCD1LG2, TIGIT and SIGLEC15 immune checkpoints.@*CONCLUSIONS@#RTN1 may act as a tumor suppressor gene and indicate better prognosis. Furthermore, RTN1 is associated with immune infiltration that may be involved in the immunotherapy response in LUAD. However, the related mechanism needs further research.

Comprehensive Analysis of the Relationship between m6A Methylation Patterns and Immune Microenvironment in Lung Adenocarcinoma / 中国肺癌杂志

BACKGROUND@#m6A RNA methylation modification plays an important role in the occurrence and progression of lung cancer and regulates tumor immunity. Current studies mostly focus on the differential expression of some specific m6A effectors and infiltrating immune cell. m6A methylation modification is the result of mutual adjustment and balance between effectors, and changes in the expression of one or two effectors are far from enough to reflect the panorama of m6A methylation. The role of m6A in the immune microenvironment of lung adenocarcinoma (LUAD) is still poorly understood. The aim of this study is to investigate the effect of different m6A modification patterns in immune microenvironment of LUAD.@*METHODS@#LUAD data was obtained from The Cancer Genome Atlas (TCGA), University of California Santa Cruz Xena (UCSC Xena) and Gene Expression Omnibus (GEO) databases. Gene mutation, differential expression and survival analysis were performed for 24 m6A effectors. The m6A modification pattern was constructed by unsupervised clustering method, and the m6A clusters survival analysis, gene set variation analysis, immune score and immune cell infiltration analysis were performed. The association between LRPPRC protein expression levels and infiltration of CD8+ cytotoxic T lymphocytes and CD68+ macrophages in the tumor microenvironment was validated by immunohistochemistry in LUAD tissue microarray with 68 cases.@*RESULTS@#The mutations of m6A effector were found in 150 of 567 LUAD cases with a frequency of 26.46%. 6 readers and 3 writers were significantly up regulated in LUAD tissues compared with normal tissues. IGF2BP1 and HNRNPC are the independent risk factors for prognosis of LUAD. Abundant cross-talks among writers, erasers and readers were demonstrated. Three m6A modification patterns with different immune cell infiltration characteristics and clinical prognosis were established. Among m6A effectors, LRPPRC was found to be inversely associated with the infiltration of CD8+ cytotoxic T lymphocytes and CD68+ macrophages, and was validated in 68 LUAD tissues.@*CONCLUSIONS@#m6A modification patterns play non-negligible roles in regulating the immune microenvironment. LRPPRC has potential to be a new biomarker for checkpoint inhibitor immunotherapy.

Establishment and Validation of Immune Risk Score for Predicting Survival of Patients with Acute Myeloid Leukemia / 中国实验血液学杂志

OBJECTIVE@#To establish an immune gene prognostic model of acute myeloid leukemia (AML) and explore its correlation with immune cells in bone marrow microenvironment.@*METHODS@#Gene expression profile and clinical data of TCGA-AML were downloaded from TCGA database. Immune genes were screened by LASSO analysis to construct prognosis prediction model, and prediction accuracy of the model was quantified by receiver operating characteristic curve and area under the curve. Survival analysis was performed by Log-rank test. Enriched pathways in the different immune risk subtypes were evaluated from train cohort. The relationship between immune prediction model and bone marrow immune microenvironment was verified by flow cytometry in the real world.@*RESULTS@#Patients with low-risk score of immune gene model had better prognosis than those with high-risk score. Multivariate analysis showed that the immune gene risk model was an independent prognostic factor. The risk ratio for AML patients in the training concentration was HR=24.594 (95%CI: 6.180-97.878), and the AUC for 1-year, 3-year, and 5-year overall survival rate was 0.811, 0.815, and 0.837, respectively. In addition, enrichment analysis of differential gene sets indicated activation of immune-related pathways such as cytokines and chemokines as well as autoimmune disease-related pathways. At the same time, real world data showed that patients with high immune risk had lower numbers of CD8+T cells and B lymphocytes compared with low immune risk patients.@*CONCLUSION@#We constructed a stable prognostic model for AML, which can not only predict the prognosis of AML, but also reveal the dysregulation of immune microenvironment.

Cancer biology deciphered by single-cell transcriptomic sequencing

Tumors are complex ecosystems in which heterogeneous cancer cells interact with their microenvironment composed of diverse immune, endothelial, and stromal cells. Cancer biology had been studied using bulk genomic and gene expression profiling, which however mask the cellular diversity and average the variability among individual molecular programs. Recent advances in single-cell transcriptomic sequencing have enabled a detailed dissection of tumor ecosystems and promoted our understanding of tumorigenesis at single-cell resolution. In the present review, we discuss the main topics of recent cancer studies that have implemented single-cell RNA sequencing (scRNA-seq). To study cancer cells, scRNA-seq has provided novel insights into the cancer stem-cell model, treatment resistance, and cancer metastasis. To study the tumor microenvironment, scRNA-seq has portrayed the diverse cell types and complex cellular states of both immune and non-immune cells interacting with cancer cells, with the promise to discover novel targets for future immunotherapy.

Investigação do papel de SIGIRR/IL-1R8 no crosstalk entre células tumorais e o infiltrado leucocitário / Investigating the role of SIGIRR/IL-1R8 in the crosstalk between tumor cells and the immune system

Células tumorais desenvolvem diversas estratégias para escapar da identificação e eliminação pelo sistema imune. Dessa forma, a investigação dos mecanismos envolvidos na comunicação celular no microambiente tumoral e na desregulação local do sistema imune é crítica para uma melhor compreensão da progressão da doença e para o desenvolvimento de alternativas terapêuticas mais eficazes. Nós aqui demonstramos que SIGIRR/IL-1R8, um importante regulador negativo de receptores de Interleucina-1 (ILRs) e receptores do tipo Toll (TLRs), apresenta expressão aumentada em uma linhagem celular epitelial mamária transformada pela superexpressão do oncogene HER2 e em tumores primários de mama, e promove o crescimento tumoral e metástase através da modulação da inflamação associada ao câncer e da atenuação da resposta imune antitumoral. Observamos que IL-1R8 tem sua expressão correlacionada com HER2 em tecidos mamários e sua alta expressão é fator de pior prognóstico em câncer de mama de baixo grau. Notavelmente, níveis aumentados de IL-1R8 foram observados especialmente nos subtipos HER2+ e Luminais de tumores de mama, e sua expressão aumentada em células epiteliais de mama transformadas por HER2 diminui a ativação da via de NF-κB e a expressão de diferentes citocinas pro-inflamatórias (IL-6, IL-8, TNF, CSF2, CSF3 e IFN-ß1). Meio condicionado de células transformadas por HER2, mas não de variantes celulares com o gene IL-1R8 silenciado, induz a polarização de macrófagos para o fenótipo M2 e inibe a ativação de células NK. Em um modelo murino transgênico de tumorigênese espontânea mediada por HER2, MMTV-neu, verificamos que a deficiência de IL-1R8 (IL-1R8-/-neu) retardou o aparecimento de tumores e reduziu a incidência, a carga tumoral e a disseminação metastática. Contudo, não foram observadas diferenças significativas no crescimento tumoral quando animais IL-1R8-/-neu receberam medula óssea de animais IL-1R8+/+, confirmando um papel importante da expressão de IL-1R8 em células não hematopoiéticas na tumorigênese da mama. Tumores IL-1R8+/+neu apresentaram maiores níveis de citocinas pró-inflamatórias como IL-1ß e VEGF, e menores níveis da citocina imunomodulatória IFN-γ. Além disso, tumores que expressavam IL-1R8 apresentaram menor infiltrado de células NK maduras, células dendríticas (DCs) e linfócitos T-CD8+ e um maior infiltrado de macrófagos M2 e linfócitos T-CD4+. Coletivamente, esses resultados indicam que a expressão de IL-1R8 em tumores de mama pode representar um novo mecanismo de escape da resposta imune e suportam IL-1R8 como potencial alvo terapêutico

Tumor cells develop numerous strategies to fine-tune inflammation and avoid detection and eradication by the immune system. Identification of new players that regulate the cellular crosstalk within the tumor microenvironment and promote local immune dysregulation is critical to understand disease progression and to improve therapeutic strategies. Here, we demonstrate that SIGIRR/IL-1R8, a negative regulator of IL-1R and TLRs, is up-regulated in a HER2-transformed epithelial mammary cell line and in primary breast tumors and promotes tumor growth and metastasis by modulating cancer-related inflammation and impairing anti-tumor immunity. IL-1R8 expression is correlated with HER2 in mammary tissue, and higher tumor IL-1R8 expression is a poor prognostic factor in lower grade breast tumors. Notably, higher levels of IL-1R8 expression were observed in HER2+ and Luminal breast tumor subtypes and IL-1R8 up-regulation in HER2-transformed mammary epithelial cells inhibited NF-κB activation and the expression of pro-inflammatory cytokines (IL-6, IL-8, TNFα, CSF2, CSF3, IFN-ß1). Conditioned medium from HER2-transformed cells, but not from IL-1R8 knockdown variants, induced M2-macrophage polarization and inhibited natural-killer (NK) cell activation. IL-1R8 deficiency in a transgenic mouse model of breast tumorigenesis (MMTV-neu) significantly delayed tumor onset and reduced tumor incidence, burden and metastasis. No significant differences in tumor growth were observed when IL-1R8-/-neu mice were transplanted with bone marrow from IL-1R8+/+ animals, confirming an important role for IL-1R8 expression in non-hematopoietic cells during breast tumorigenesis. IL-1R8+/+neu mammary tumors presented higher levels of pro-inflammatory cytokines such as IL-1ß and VEGF, but lower levels of IFN-γ. Besides, a lower infiltrate of mature NK cells, dendritic cells (DCs) and CD8+ T cells but higher infiltrate of M2-macrophages and CD4+ T cells were present in IL-1R8 expressing tumors. Collectively, our results support IL-1R8 expression as a novel tumor immune escape mechanism in breast cancer and putative target for immunotherapy