Long non-coding RNAs and cancer mechanisms: Immune cells and inflammatory cytokines in the tumor microenvironment

Yang, Peipei; Ding, Jie; Bian, Yibo; Ma, Zhonghua; Wang, Ke‐Ming; Li, Juan

doi:10.1007/s12032-022-01680-5

Cited by 10 publications

(12 citation statements)

References 94 publications

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“…The immune activation response of immune cells induces tumor cells to secrete cytokines, and the dynamic variation of cytokines in turn determines the differentiation of immune cells. For example, the coordination between long non-coding RNAs with immune cells and cytokines could accomplish the remodeling of tumor microenvironment ( 93 ). The changing state of the tumor microenvironment reflects the process of tumor deterioration.…”

Section: Natural Products Possess Anti-tumor Functionmentioning

confidence: 99%

Remodeling tumor microenvironment with natural products to overcome drug resistance

Zhang

et al. 2022

Front. Immunol.

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With cancer incidence rates continuing to increase and occurrence of resistance in drug treatment, there is a pressing demand to find safer and more effective anticancer strategy for cancer patients. Natural products, have the advantage of low toxicity and multiple action targets, are always used in the treatment of cancer prevention in early stage and cancer supplement in late stage. Tumor microenvironment is necessary for cancer cells to survive and progression, and immune activation is a vital means for the tumor microenvironment to eliminate cancer cells. A number of studies have found that various natural products could target and regulate immune cells such as T cells, macrophages, mast cells as well as inflammatory cytokines in the tumor microenvironment. Natural products tuning the tumor microenvironment via various mechanisms to activate the immune response have immeasurable potential for cancer immunotherapy. In this review, it highlights the research findings related to natural products regulating immune responses against cancer, especially reveals the possibility of utilizing natural products to remodel the tumor microenvironment to overcome drug resistance.

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Section: Natural Products Possess Anti-tumor Functionmentioning

confidence: 99%

Remodeling tumor microenvironment with natural products to overcome drug resistance

Zhang

et al. 2022

Front. Immunol.

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“… 61 LncRNAs are involved in regulating the TME. 23 Here, the ESTIMATE analysis revealed that the low‐risk patients showed higher ImmuneScore and StromalScore values, representing more immune or stromal cellular components in the TME of low‐risk patients. Consistent with this result, the immune cell infiltration analysis confirmed that the osteosarcoma patients categorized into the low‐risk group showed a high proportion of CD8+ T cells and M1 macrophages.…”

Section: Discussionmentioning

confidence: 73%

“… 19 , 20 , 21 Due to the characteristics of tissue specificity, high stability, abundance, and species conservation, lncRNAs have been identified as a possible diagnostic and prognostic biomarker in the clinical management of cancer. 22 Additionally, lncRNAs are also associated with tumor metabolism, tumor microenvironment, and drug resistance, 23 consequently recognized as potential cancer drug targets. 24 , 25 …”

Section: Introductionmentioning

confidence: 99%

“…[19][20][21] Due to the characteristics of tissue specificity, high stability, abundance, and species conservation, lncRNAs have been identified as a possible diagnostic and prognostic biomarker in the clinical management of cancer. 22 Additionally, ln-cRNAs are also associated with tumor metabolism, tumor microenvironment, and drug resistance, 23 consequently recognized as potential cancer drug targets. 24,25 Programmed cell death is an essential physiological and pathological process to remove superfluous or damaged cells to ensure healthy development and tissue homeostasis, 26 including apoptosis, autophagy, pyroptosis, ferroptosis, and necroptosis.…”

Section: Introductionmentioning

confidence: 99%

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Construction of a cuproptosis‐related lncRNA signature for predicting prognosis and immune landscape in osteosarcoma patients

Hong

et al. 2022

Cancer Medicine

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Background: Long noncoding RNAs (lncRNAs) influence the onset of osteosarcoma. Cuproptosis is a novel cell death mechanism. We attempted to identify a cuproptosis-related lncRNA signature to predict the prognosis and immune landscape in osteosarcoma patients. Methods:Transcriptional and clinical data of 85 osteosarcoma patients were derived from the TARGET database and randomly categorized into the training and validation cohorts. We implemented the univariate and multivariate Cox regression, along with LASSO regression analyses for developing a cuproptosis-related lncRNA risk model. Kaplan-Meier curves, C-index, ROC curves, univariate and multivariate Cox regression, and nomogram were used to assess the capacity of this risk model to predict the osteosarcoma prognosis. Gene ontology, KEGG, and Gene Set Enrichment (GSEA) analyses were conducted for determining the potential functional differences existing between the high-risk and low-risk patients.We further conducted the ESTIMATE, single-smaple GSEA, and CIBERSORT analyses for identifying the different immune microenvironments and immune cells infiltrating both the risk groups. Results:We screened out four cuproptosis-related lncRNAs (AL033384.2, AL031775.1, AC110995.1, and LINC00565) to construct the risk model in the training cohort. This risk model displayed a good performance to predict the overall survival of osteosarcoma patients, which was confirmed by using the validation and the entire cohort. Further analyses showed that the low-risk patients have more immune activation and immune cells infiltrating as well as a good response to immunotherapy. Conclusions:We developed a novel cuproptosis-related lncRNA signature with high reliability and accuracy for predicting outcome and immunotherapy response in osteosarcoma patients, which provides new insights into the personalized treatment of osteosarcoma.

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“…However, only a small population of HNSCC patients benefit from these costly therapies ( 38 ) because the TIME consisting of immune cells, signaling molecules, blood vessels, and the extracellular matrix (ECM) is a complex and dynamic environment ( 39 ). Accumulating evidence has demonstrated the importance of lncRNAs as regulators in the TIME ( 40 ). As expected, the two groups had a different TIME, showing notable differences in immune indicator expression, such as Type_II_IFN_Response, CCR, and T_cell_co-stimulation.…”

Section: Discussionmentioning

confidence: 99%

Cuproptosis-related LncRNAs are potential prognostic and immune response markers for patients with HNSCC via the integration of bioinformatics analysis and experimental validation

Zhou

Cheng

et al. 2022

Front. Oncol.

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IntroductionHead and neck squamous cell carcinoma (HNSCC) is a malignant neoplasm typically induced by alcohol and tobacco consumption, ranked the sixth most prevalent cancer globally. This study aimed to establish a cuproptosis-related lncRNA predictive model to assess the clinical significance in HNSCC patients.MethodsThe Cancer Genome Atlas (TCGA) database was utilized to download cuproptosis-related genes, lncRNAs profiles, and selected clinical information of 482 HNSCC samples. Cuproptosis-related lncRNAs were analyzed by Pearson correlation method, with the least absolute shrinkage and selection operator (LASSO) and univariate/multivariate Cox analyses performed to establish the cuproptosis-related lncRNA predictive model. Subsequently, the time-dependent receiver operating characteristics (ROC) and Kaplan-Meier analysis were applied to assess its prediction ability, and the model was verified by a nomogram, univariate/multivariate Cox analysis, and calibration curves. Furthermore, the principal component analysis (PCA), immune analysis, and gene set enrichment analyses (GSEA) were performed, and the 50% inhibitory concentration (IC50) prediction in the risk groups was calculated. Furthermore, the expression of six cuproptosis-related lncRNAs in HNSCC and paracancerous tissues was detected by quantitative real-time PCR (qRT-PCR).ResultsA total of 467 lncRNAs were screened as cuproptosis-associated lncRNAs in HNSCC tissues to establish an eight cuproptosis-related lncRNA prognostic signature consisting of AC024075.3, AC090587.2, AC116914.2, AL450384.2, CDKN2A-DT, FAM27E3, JPX, and LNC01089. For the high-risk group, the results demonstrated a satisfactory predicting performance with considerably worse overall survival (OS). Multivariate Cox regression confirmed that the risk score was a reliable predictive factor (95% CI: 1.089–1.208, hazard ratio =1.147), with the area of 1-, 3-, and 5-year OS under the ROC curve of 0.690, 0.78524, and 0.665, respectively. The differential analysis revealed that JPX was significantly upregulated in HNSCC tissues, while AC024075.3, AC090587.2, AC116914.2, AL450384.2, CDKN2A-DT were downregulated in HNSCC tissues by qRT-PCR assays. In addition, this gene signature was also associated with some immune-related pathways and immune cell infiltration and affected the anti-cancer immune response. Furthermore, Bexarotene, Bleomycin, Gemcitabine, etc., were identified as potential therapeutic compounds for HNSCC.DiscussionsThis novel cuproptosis-related lncRNAs prognostic signature could predict prognosis and help propose novel individual therapeutic targets for HNSCC.

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Long non-coding RNAs and cancer mechanisms: Immune cells and inflammatory cytokines in the tumor microenvironment

Cited by 10 publications

References 94 publications

Remodeling tumor microenvironment with natural products to overcome drug resistance

Remodeling tumor microenvironment with natural products to overcome drug resistance

Construction of a cuproptosis‐related lncRNA signature for predicting prognosis and immune landscape in osteosarcoma patients

Cuproptosis-related LncRNAs are potential prognostic and immune response markers for patients with HNSCC via the integration of bioinformatics analysis and experimental validation

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