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Zhou Q, Sun Q, Shen Q, Li X, Qian J. Development and implementation of a prognostic model for clear cell renal cell carcinoma based on heterogeneous TLR4 expression. Heliyon 2024; 10:e25571. [PMID: 38380017 PMCID: PMC10877190 DOI: 10.1016/j.heliyon.2024.e25571] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 01/13/2024] [Accepted: 01/29/2024] [Indexed: 02/22/2024] Open
Abstract
Objective Clear cell renal cell carcinoma (ccRCC) is the most common subtype among renal cell carcinomas and has the worst prognosis, originating from renal tubular epithelial cells. Toll-like receptor 4 (TLR4) plays a crucial role in ccRCC proliferation, infiltration, and metastasis. The aim of this study was to construct a prognostic scoring model for ccRCC based on TLR4 expression heterogeneity and to explore its association with immune infiltration, thereby providing insights for the treatment and prognostic evaluation of ccRCC. Methods Using R software, a differential analysis was conducted on normal samples and ccRCC samples, and in conjunction with the KEGG database, a correlation analysis for the clear cell renal cell carcinoma pathway (hsa05211) was carried out. We observed the expression heterogeneity of TLR4 in the TCGA-KIRC cohort and identified its related differential genes (TRGs). Based on the expression levels of TRGs, consensus clustering was employed to identify TLR4-related subtypes, and further clustering heatmaps, principal component, and single-sample gene set enrichment analyses were conducted. Overlapping differential genes (ODEGs) between subtypes were analysed, and combined with survival data, univariate Cox regression, LASSO, and multivariate Cox regression were used to establish a prognostic risk model for ccRCC. This model was subsequently evaluated through ROC analysis, risk factor correlation analysis, independent prognostic factor analysis, and intergroup differential analysis. The ssGSEA model was employed to explore immune heterogeneity in ccRCC, and the performance of the model in predicting patient prognosis was evaluated using box plots and the oncoPredict software package. Results In the TCGA-KIRC cohort, TLR4 expression was notably elevated in ccRCC samples compared to normal samples, correlating with improved survival in the high-expression group. The study identified distinct TLR4-related differential genes and categorized ccRCC into three subtypes with varied survival outcomes. A risk prognosis model based on overlapping differential genes was established, showing significant associations with immune cell infiltration and key immune checkpoints (PD-1, PD-L1, CTLA4). Additionally, drug sensitivity differences were observed between risk groups. Conclusion In the TCGA-KIRC cohort, the expression of TLR4 in ccRCC samples exhibited significant heterogeneity. Through clustering analysis, we identified that the primary immune cells across subtypes are myeloid-derived suppressor cells, central memory CD4 T cells, and regulatory T cells. Furthermore, we successfully constructed a prognostic risk model for ccRCC composed of 17 genes. This model provides valuable references for the prognosis prediction and treatment of ccRCC patients.
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Affiliation(s)
- Qingbo Zhou
- Department of Internal Medicine, Shaoxing Yuecheng People's Hospital, Shaoxing, China
| | - Qiang Sun
- Department of Internal Medicine, Shaoxing Yuecheng People's Hospital, Shaoxing, China
| | - Qi Shen
- Department of Internal Medicine, Shaoxing Yuecheng People's Hospital, Shaoxing, China
| | - Xinsheng Li
- Department of Internal Medicine, Shaoxing Yuecheng People's Hospital, Shaoxing, China
| | - Jijiang Qian
- Department of Medical Imaging, Shaoxing Yuecheng People's Hospital, Shaoxing, China
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Huang B, Gui M, An H, Shen J, Ye F, Ni Z, Zhan H, Che L, Lai Z, Zeng J, Peng J, Lin J. Babao Dan alleviates gut immune and microbiota disorders while impacting the TLR4/MyD88/NF-кB pathway to attenuate 5-Fluorouracil-induced intestinal injury. Biomed Pharmacother 2023; 166:115387. [PMID: 37643486 DOI: 10.1016/j.biopha.2023.115387] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2023] [Revised: 08/22/2023] [Accepted: 08/23/2023] [Indexed: 08/31/2023] Open
Abstract
Adjuvant chemotherapy based on 5-fluorouracil (5-FU), such as FOLFOX, is suggested as a treatment for gastrointestinal cancer. Yet, intestinal damage continues to be a prevalent side effect for which there are no practical prevention measures. We investigated whether Babao Dan (BBD), a Traditional Chinese Medicine, protects against intestinal damage induced by 5-FU by controlling immune response and gut microbiota. 5-FU was injected intraperitoneally to establish the mice model, then 250 mg/kg BBD was gavaged for five days straight. 5-FU led to marked weight loss, diarrhea, fecal blood, and histopathologic intestinal damage. Administration of BBD reduced these symptoms, inhibited proinflammatory cytokine (IL-6, IL-1β, IFN-γ, TNF-α) secretion, and upregulated the ratio of CD3(+) T cells and the CD4(+)/CD8(+) ratio. According to 16S rRNA sequencing, BBD dramatically repaired the disruption of the gut microbiota caused in a time-dependent way, and increased the Firmicutes/Bacteroidetes (F/B) ratio. Transcriptomic results showed that the mechanism is mainly concentrated on the NF-κB pathway, and we found that BBD reduced the concentration of LPS in the fecal suspension and serum, and inhibited TLR4/MyD88/NF-κB pathway activation. Furthermore, at the genus level on the fifth day, BBD upregulated the abundance of unidentified_Corynebacteriaceae, Aerococcus, Blautia, Jeotgalicoccus, Odoribacter, Roseburia, Rikenella, Intestinimonas, unidentified_Lachnospiraceae, Enterorhabdus, Ruminiclostridium, and downregulated the abundance of Bacteroides, Parabacteroides, Parasutterella, Erysipelatoclostridium, which were highly correlated with intestinal injury or the TLR4/MyD88/NF-κB pathway. In conclusion, we established a network involving 5-FU, BBD, the immune response, gut microbiota, and key pathways to explain the pharmacology of oral BBD in preventing 5-FU-induced intestinal injury.
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Affiliation(s)
- Bin Huang
- Academy of Integrative Medicine of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China; Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China; Key Laboratory of Integrative Medicine of Fujian Province University, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China
| | - Mengxuan Gui
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China
| | - Honglin An
- Key Laboratory of Integrative Medicine of Fujian Province University, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China
| | - Jiayu Shen
- Key Laboratory of Integrative Medicine of Fujian Province University, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China
| | - Feimin Ye
- Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China
| | - Zhuona Ni
- Academy of Integrative Medicine of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China
| | - Hanzhang Zhan
- Key Laboratory of Integrative Medicine of Fujian Province University, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China
| | - Li Che
- Xiamen Traditional Chinese Medicine Co., Ltd., Xiamen 361100, PR China
| | - Zhicheng Lai
- Xiamen Traditional Chinese Medicine Co., Ltd., Xiamen 361100, PR China
| | - Jiahan Zeng
- Xiamen Traditional Chinese Medicine Co., Ltd., Xiamen 361100, PR China
| | - Jun Peng
- Academy of Integrative Medicine of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China; Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China; Key Laboratory of Integrative Medicine of Fujian Province University, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China
| | - Jiumao Lin
- Academy of Integrative Medicine of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China; Fujian Key Laboratory of Integrative Medicine on Geriatrics, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China; Key Laboratory of Integrative Medicine of Fujian Province University, Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian 350122, PR China.
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Sun H, Li Y, Zhang P, Xing H, Zhao S, Song Y, Wan D, Yu J. Targeting toll-like receptor 7/8 for immunotherapy: recent advances and prospectives. Biomark Res 2022; 10:89. [PMID: 36476317 PMCID: PMC9727882 DOI: 10.1186/s40364-022-00436-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 11/19/2022] [Indexed: 12/12/2022] Open
Abstract
Toll-like receptors (TLRs) are a large family of proteins that are expressed in immune cells and various tumor cells. TLR7/8 are located in the intracellular endosomes, participate in tumor immune surveillance and play different roles in tumor growth. Activation of TLRs 7 and 8 triggers induction of a Th1 type innate immune response in the highly sophisticated process of innate immunity signaling with the recent research advances involving the small molecule activation of TLR 7 and 8. The wide range of expression and clinical significance of TLR7/TLR8 in different kinds of cancers have been extensively explored. TLR7/TLR8 can be used as novel diagnostic biomarkers, progression and prognostic indicators, and immunotherapeutic targets for various tumors. Although the mechanism of action of TLR7/8 in cancer immunotherapy is still incomplete, TLRs on T cells are involved in the regulation of T cell function and serve as co-stimulatory molecules and activate T cell immunity. TLR agonists can activate T cell-mediated antitumor responses with both innate and adaptive immune responses to improve tumor therapy. Recently, novel drugs of TLR7 or TLR8 agonists with different scaffolds have been developed. These agonists lead to the induction of certain cytokines and chemokines that can be applied to the treatment of some diseases and can be used as good adjutants for vaccines. Furthermore, TLR7/8 agonists as potential therapeutics for tumor-targeted immunotherapy have been developed. In this review, we summarize the recent advances in the development of immunotherapy strategies targeting TLR7/8 in patients with various cancers and chronic hepatitis B.
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Affiliation(s)
- Hao Sun
- grid.412633.10000 0004 1799 0733Department of Radiotherapy, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 Henan China
| | - Yingmei Li
- grid.412633.10000 0004 1799 0733Department of Hematology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 Henan China
| | - Peng Zhang
- grid.412633.10000 0004 1799 0733Department of Thoracic Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 Henan China
| | - Haizhou Xing
- grid.412633.10000 0004 1799 0733Department of Hematology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 Henan China
| | - Song Zhao
- grid.412633.10000 0004 1799 0733Department of Thoracic Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 Henan China
| | - Yongping Song
- grid.412633.10000 0004 1799 0733Department of Hematology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 Henan China
| | - Dingming Wan
- grid.412633.10000 0004 1799 0733Department of Hematology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 Henan China
| | - Jifeng Yu
- grid.412633.10000 0004 1799 0733Department of Hematology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052 Henan China ,grid.256922.80000 0000 9139 560XHenan International Joint Laboratory of Nuclear Protein Gene Regulation, Henan University College of Medicine, Kaifeng, 475004 Henan China
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Zhang J, Huang C, Yang R, Wang X, Fang B, Mi J, Yuan H, Mo Z, Sun Y. Identification of Immune-Related Subtypes and Construction of a Novel Prognostic Model for Bladder Urothelial Cancer. Biomolecules 2022; 12:1670. [PMID: 36421685 PMCID: PMC9687876 DOI: 10.3390/biom12111670] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/06/2022] [Accepted: 11/08/2022] [Indexed: 12/20/2023] Open
Abstract
The purpose of this study was to explore the relationship between bladder urothelial cancer (BLCA) and immunity, to screen prognosis-related immune genes (PIGs), and to construct an immune-related prognosis model (IRPM). We processed the relevant data of The Cancer Genome Atlas (TCGA-BLCA) and GSE13507 using R software and Perl. We divided BLCA into high-immunity and low-immunity subtypes. There were significant differences in the two subtypes. In addition, we identified 13 PIGs of BLCA by jointly analyzing the gene expression data and survival information of GSE13507 and TCGA-BLCA, and constructed IRPM through nine of them. The low-risk group had better survival outcome than the high-risk group. We also constructed a nomogram based on clinicopathological information and risk scores of the patients. Moreover, the prognosis of BLCA patients was significantly impacted by the expression of almost every gene used to calculate the risk score. The result of real-time fluorescence quantitative polymerase chain reaction revealed that all the genes used to calculate the risk score were differentially expressed between BLCA and adjacent normal tissues, except PDGFRA. Our research provided potential targets for the treatment of BLCA and a reference for judging the prognosis of BLCA.
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Affiliation(s)
- Jiange Zhang
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Department of Urology, The Second Affiliated Hospital of Guangxi Medical University, Nanning 530007, China
| | - Caisheng Huang
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Department of Urology, The Nanning Second People’s Hospital, The Third Affiliated Hospital of Guangxi Medical University, Nanning 530031, China
| | - Rirong Yang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning 530021, China
- Collaborative Innovation Center of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed by the Province and Ministry, Guangxi Medical University, Nanning 530021, China
| | - Xiang Wang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning 530021, China
| | - Bo Fang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Collaborative Innovation Center of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed by the Province and Ministry, Guangxi Medical University, Nanning 530021, China
| | - Junhao Mi
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Collaborative Innovation Center of Regenerative Medicine and Medical BioResource Development and Application Co-Constructed by the Province and Ministry, Guangxi Medical University, Nanning 530021, China
| | - Hao Yuan
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
- Department of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning 530021, China
| | - Zengnan Mo
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning 530021, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning 530021, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning 530021, China
| | - Yihai Sun
- Department of Urology, The Nanning Second People’s Hospital, The Third Affiliated Hospital of Guangxi Medical University, Nanning 530031, China
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Zou X, Guo Y, Mo Z. TLR3 serves as a novel diagnostic and prognostic biomarker and is closely correlated with immune microenvironment in three types of cancer. Front Genet 2022; 13:905988. [PMID: 36419829 PMCID: PMC9676367 DOI: 10.3389/fgene.2022.905988] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 10/26/2022] [Indexed: 07/29/2023] Open
Abstract
Background: Toll-like receptor 3 (TLR3) plays an important role in both innate and adaptive immunity, but the prognostic value of TLR3 in heterogeneous tumors and the correlations between TLR3 expression and immune infiltration of heterogeneous tumors remain unclear. Methods: We investigated the expression of TLR3 in a variety of tumors and focused on the diagnostic and prognostic values of TLR3 in kidney renal clear cell carcinoma (KIRC), pancreatic adenocarcinoma (PAAD) and brain lower grade glioma (LGG) by GEPIA, DriverDBv3, UALCAN, TIMER, LinkedOmics, STRING, GeneMANIA and FunRich, as well as the possible mechanisms of TLR3 affecting tumor prognosis were discussed. Additionally, real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) was used to validate TLR3 expression in early KIRC. We also compared the expression of TLR3 in the plasma of early KIRC patients and normal controls by enzyme linked immunosorbent assay (ELISA). Results: TLR3 expression was significantly different in multiple tumors compared with paracancerous nontumor tissues. Elevated expression of TLR3 contributed to the prolonged survival outcome in KIRC patients. Suppressed expression of TLR3 contributed to the prolonged survival outcome in LGG and PAAD patients. Moreover, TLR3 was significantly elevated in stage1, grade1 and N0 of KIRC. The expression and function of TLR3 in KIRC, LGG and PAAD were closely related to tumor immune microenvironment. TRAF6 was a key gene in the interactions between TLR3 and its interacting genes. Finally, the results of RT-qPCR and ELISA indicated that TLR3 expression levels were significantly raised in renal tissue and plasma of early KIRC patients. Conclusion: TLR3 has the potential to be a diagnostic biomarker of KIRC, LGG and PAAD as well as a biomarker for evaluating the prognosis of KIRC, LGG and PAAD, particularly for the early diagnosis of KIRC. TLR3 affects tumors mainly by acting on the immune microenvironment of KIRC, LGG and PAAD. These findings could lead to new insights into the immunotherapeutic targets for KIRC, LGG, and PAAD.
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Affiliation(s)
- Xiong Zou
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China
| | - Yi Guo
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China
- Department of Gynecology and Obstetrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Zengnan Mo
- Department of Urology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Key Laboratory of Colleges and Universities, Nanning, China
- Department of Gynecology and Obstetrics, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
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Identification of Survival Risk and Immune-Related Characteristics of Kidney Renal Clear Cell Carcinoma. J Immunol Res 2022; 2022:6149369. [PMID: 35832648 PMCID: PMC9273399 DOI: 10.1155/2022/6149369] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Accepted: 06/14/2022] [Indexed: 12/02/2022] Open
Abstract
Background Immunity exerts momentous functions in the progression and treatment of kidney renal clear cell carcinoma (KIRC). A better understanding of the relationship between KIRC and immunity may make a great contribution to evaluating the prognosis and immune-related therapeutic response of KIRC. Methods A series of information such as RNA sequence, clinical data, and tumor mutation burden (TMB) of KIRC patients were downloaded through The Cancer Genome Atlas (TCGA). Next, combining the survival information and gene expression data of TCGA and Gene Expression Omnibus (GEO), we established an immune gene-related prognosis model (IGRPM) and analyzed it. Then we constructed a nomogram which was convenient for clinicians to judge the prognosis of KIRC. Last but not the least, the expressions of some genes used to construct IGRPM in early KIRC, and adjacent normal tissues were verified through real-time fluorescence quantitative polymerase chain reaction (RT-qPCR). Perl (strawberry-perl-5.30.0.1-64bit), R software (4.0.3), and GraphPad Prism 7 were used to process the relevant data. Results The single-sample gene set enrichment analysis (ssGSEA) showed that there were significant differences in StromalScore, ImmuneScore, ESTIMATEScore, TumorPurity, 22 kinds of human immune cells infiltration, and HLA genes expression between high immunity group (Immunity_H) and low immunity group (Immunity_L). The Immunity_H expressed more immune-related genes and enriched more immune-related functions than the Immunity_L. In addition, compared with the low-risk group, the high-risk group had worse survival outcome and higher TMB. Combining IGRPM-based risk characteristic and TMB, we found that low-TMB + low-risk was the most beneficial to the survival outcome of KIRC patients. The risk characteristic based on IGRPM could be used as an independent prognostic factor for KIRC, and the nomogram constructed for evaluating the prognosis of KIRC showed excellent predictive potential. The RT-qPCR results suggested that not all the genes used to construct IGRPM showed differential expression in early KIRC compared with adjacent normal tissues, but all these genes had significant influence on the prognosis of KIRC. Conclusion These comprehensive immune assessments and survival predictions, integrating multiple aspects of data and clinical information, can provide additional value to the current Tumor Node Metastasis staging system for risk stratification of KIRC and may facilitate the development of KIRC immunotherapy.
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Fasoulakis Z, Koutras A, Ntounis T, Pergialiotis V, Chionis A, Katrachouras A, Palios VC, Symeonidis P, Valsamaki A, Syllaios A, Diakosavvas M, Angelou K, Samara AA, Pagkalos A, Theodora M, Schizas D, Kontomanolis EN. The Prognostic Role and Significance of Dll4 and Toll-like Receptors in Cancer Development. Cancers (Basel) 2022; 14:cancers14071649. [PMID: 35406423 PMCID: PMC8996945 DOI: 10.3390/cancers14071649] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/05/2022] [Accepted: 03/18/2022] [Indexed: 02/01/2023] Open
Abstract
Simple Summary The aim of this review is to summarize the latest details considering the role of Dll4 in cancer, since recent data report that Dll4 has a major key role in tumor angiogenesis. Moreover, the authors try to seek any correlation between Dll4 and cancer stem cells in tumor development. Considering that cancer stem cells have proven to be implicated in the progression of many cancer types, any impact from Dll4 could lead to the alteration of cancer development. Additionally, the authors make a report on current advantages on immunotherapy and tumor-draining lymph nodes in cancer. Finally, this study analyzes toll like receptors, pattern recognition receptors that are capable of recognizing different molecules and activating different genes. These immunogenetic molecules have remarkable roles including angiogenesis promotion, while their activation can lead to either cancer progression or inhibition, representing a very promising therapeutic alliance for cancer treatment. Abstract The Notch signaling pathway regulates the development of embryonic and tissue homeostasis of various types of cells. It also controls cell proliferation, variation, fate and cell death because it emits short-range messages to nearby cells. The pathway plays an important role in the pathophysiology of various malignancies, controlling cancer creation. It also limits cancer development by adjusting preserved angiogenesis and cellular programs. One of the Notch signaling ligands (in mammals) is Delta-like ligand 4 (Dll4), which plays a significant role in the overall malignancies’ advancement. Particularly, sequencing Notch gene mutations, including those of Dll4, have been detected in many types of cancers portraying information on the growth of particular gynecological types of tumors. The current research article examines the background theory that implies the ability of Dll4 in the development of endometrial and other cancer types, and the probable therapeutic results of Dll4 inhibition.
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Affiliation(s)
- Zacharias Fasoulakis
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens ‘ALEXANDRA’, National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece; (Z.F.); (A.K.); (T.N.); (V.P.); (M.D.); (K.A.); (M.T.)
| | - Antonios Koutras
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens ‘ALEXANDRA’, National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece; (Z.F.); (A.K.); (T.N.); (V.P.); (M.D.); (K.A.); (M.T.)
| | - Thomas Ntounis
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens ‘ALEXANDRA’, National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece; (Z.F.); (A.K.); (T.N.); (V.P.); (M.D.); (K.A.); (M.T.)
| | - Vasilios Pergialiotis
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens ‘ALEXANDRA’, National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece; (Z.F.); (A.K.); (T.N.); (V.P.); (M.D.); (K.A.); (M.T.)
| | - Athanasios Chionis
- Department of Obstetrics and Gynecology, Laiko General Hospital of Athens, Agiou Thoma 17, 11527 Athens, Greece;
| | - Alexandros Katrachouras
- Department of Obstetrics and Gynecology, University of Ioannina, University General Hospital of Ioannina, Stavros Niarchos Str., 45500 Ioannina, Greece;
| | - Vasileios-Chrysovalantis Palios
- Department of Obstetrics and Gynecology, University of Larisa, University General Hospital of Larisa, Mezourlo, 41110 Larisa, Greece;
| | - Panagiotis Symeonidis
- Department of Obstetrics and Gynecology, Democritus University of Thrace, Vasilissis Sofias Str. 12, 67100 Alexandroupolis, Greece; (P.S.); (E.N.K.)
| | - Asimina Valsamaki
- Department of Internal Medicine, General Hospital of Larisa, Tsakal of 1, 41221 Larisa, Greece;
| | - Athanasios Syllaios
- 1st Department of Surgery, Laikon General Hospital, National and Kapodistrian University of Athens, Agiou Thoma Str. 17, 11527 Athens, Greece
- Correspondence: ; Tel.: +30-6972374280
| | - Michail Diakosavvas
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens ‘ALEXANDRA’, National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece; (Z.F.); (A.K.); (T.N.); (V.P.); (M.D.); (K.A.); (M.T.)
| | - Kyveli Angelou
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens ‘ALEXANDRA’, National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece; (Z.F.); (A.K.); (T.N.); (V.P.); (M.D.); (K.A.); (M.T.)
| | - Athina A. Samara
- Department of Surgery, University Hospital of Larissa, Mezourlo, 41110 Larissa, Greece;
| | - Athanasios Pagkalos
- Department of Obstetrics and Gynecology, General Hospital of Xanthi, Neapoli, 67100 Xanthi, Greece;
| | - Marianna Theodora
- 1st Department of Obstetrics and Gynecology, General Hospital of Athens ‘ALEXANDRA’, National and Kapodistrian University of Athens, Lourou and Vasilissis Sofias Ave, 11528 Athens, Greece; (Z.F.); (A.K.); (T.N.); (V.P.); (M.D.); (K.A.); (M.T.)
| | - Dimitrios Schizas
- 1st Department of Surgery, National and Kapodistrian University of Athens, Laiko General Hospital, 11527 Athens, Greece;
| | - Emmanuel N. Kontomanolis
- Department of Obstetrics and Gynecology, Democritus University of Thrace, Vasilissis Sofias Str. 12, 67100 Alexandroupolis, Greece; (P.S.); (E.N.K.)
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