1.Identification and validation of novel biomarkers for cold-dampness syndrome of rheumatoid arthritis based on integration of multiple bioinformatics methods.
Tao LI ; Wen-Jia CHEN ; Yan-Qiong ZHANG ; Wei LIU ; Na LIN ; Xue-Ting LIU
China Journal of Chinese Materia Medica 2023;48(24):6721-6729
This study aims to identify the novel biomarkers of cold-dampness syndrome(RA-Cold) of rheumatoid arthritis(RA) by gene set enrichment analysis(GSEA), weighted gene correlation network analysis(WGCNA), and clinical validation. Firstly, transcriptome sequencing was carried out for the whole blood samples from RA-Cold patients, RA patients with other traditional Chinese medicine(TCM) syndromes, and healthy volunteers. The differentially expressed gene(DEG) sets of RA-Cold were screened by comparison with the RA patients with other TCM syndromes and healthy volunteers. Then, GSEA and WGCNA were carried out to screen the key DEGs as candidate biomarkers for RA-Cold. Experimentally, the expression levels of the candidate biomarkers were determined by RT-qPCR for an independent clinical cohort(not less than 10 cases/group), and the clinical efficacy of the candidates was assessed using the receiver operating characteristic(ROC) curve. The results showed that 3 601 DEGs associated with RA-Cold were obtained, including 106 up-regulated genes and 3 495 down-regulated genes. The DEGs of RA-Cold were mainly enriched in the pathways associated with inflammation-immunity regulation, hormone regulation, substance and energy metabolism, cell function regulation, and synovial pannus formation. GSEA and WGCNA showed that recombinant proteasome 26S subunit, ATPase 2(PSMC2), which ranked in the top 50% in terms of coefficient of variation, representativeness of pathway, and biological modules, was a candidate biomarker of RA-Cold. Furthermore, the validation results based on the clinical independent sample set showed that the F1 value, specificity, accuracy, and precision of PSMC2 for RA-Cold were 70.3%, 61.9%, 64.5%, and 81.3%, respectively, and the area under the curve(AUC) value was 0.96. In summary, this study employed the "GSEA-WGCNA-validation" integrated strategy to identify novel biomarkers of RA-Cold, which helped to improve the TCM clinical diagnosis and treatment of core syndromes in RA and provided an experimental basis for TCM syndrome differentiation.
Humans
;
Arthritis, Rheumatoid/drug therapy*
;
Biomarkers/metabolism*
;
Medicine, Chinese Traditional
;
Gene Expression Profiling/methods*
;
Computational Biology
;
Gene Regulatory Networks
;
ATPases Associated with Diverse Cellular Activities/therapeutic use*
;
Proteasome Endopeptidase Complex/therapeutic use*
2.New strategies for the treatment of carcinoma of unknown primary.
Chinese Journal of Oncology 2023;45(1):44-49
Carcinoma of unknown primary (CUP) is a kind of metastatic tumor whose primary origin cannot be identified after adequate examination and evaluation. The main treatment modality of CUP is empiric chemotherapy, and the median overall survival time is less than 1 year. Compared with immunohistochemistry, novel method based on gene expression profiling have improved the sensitivity and specificity of CUP detection, but its guiding value for treatment is still controversial. The approval of immune checkpoint inhibitors and pan-cancer antitumor agents has improved the prognosis of patients with CUP, and targeted therapy and immunotherapy based on specific molecular characteristics are the main directions of future research. Given the high heterogeneity and unique clinicopathological characteristics of CUP, "basket trial" is more suitable for clinical trial design in CUP.
Humans
;
Neoplasms, Unknown Primary/genetics*
;
Carcinoma/drug therapy*
;
Gene Expression Profiling/methods*
;
Microarray Analysis
;
Prognosis
3.CRISPR/Cas: a Nobel Prize award-winning precise genome editing technology for gene therapy and crop improvement.
Chao LI ; Eleanor BRANT ; Hikmet BUDAK ; Baohong ZHANG
Journal of Zhejiang University. Science. B 2021;22(4):253-284
Since it was first recognized in bacteria and archaea as a mechanism for innate viral immunity in the early 2010s, clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein (Cas) has rapidly been developed into a robust, multifunctional genome editing tool with many uses. Following the discovery of the initial CRISPR/Cas-based system, the technology has been advanced to facilitate a multitude of different functions. These include development as a base editor, prime editor, epigenetic editor, and CRISPR interference (CRISPRi) and CRISPR activator (CRISPRa) gene regulators. It can also be used for chromatin and RNA targeting and imaging. Its applications have proved revolutionary across numerous biological fields, especially in biomedical and agricultural improvement. As a diagnostic tool, CRISPR has been developed to aid the detection and screening of both human and plant diseases, and has even been applied during the current coronavirus disease 2019 (COVID-19) pandemic. CRISPR/Cas is also being trialed as a new form of gene therapy for treating various human diseases, including cancers, and has aided drug development. In terms of agricultural breeding, precise targeting of biological pathways via CRISPR/Cas has been key to regulating molecular biosynthesis and allowing modification of proteins, starch, oil, and other functional components for crop improvement. Adding to this, CRISPR/Cas has been shown capable of significantly enhancing both plant tolerance to environmental stresses and overall crop yield via the targeting of various agronomically important gene regulators. Looking to the future, increasing the efficiency and precision of CRISPR/Cas delivery systems and limiting off-target activity are two major challenges for wider application of the technology. This review provides an in-depth overview of current CRISPR development, including the advantages and disadvantages of the technology, recent applications, and future considerations.
CRISPR-Cas Systems
;
Clustered Regularly Interspaced Short Palindromic Repeats
;
Crops, Agricultural/genetics*
;
Gene Editing/methods*
;
Genetic Therapy
;
Humans
;
Nobel Prize
;
Plant Breeding
4.ADAM17 knockdown increases sensitivity of SW480 cells to cetuximad.
Ying CHEN ; Kehong ZHENG ; Zetao CHEN ; Haizhan FENG ; Wei FANG ; Zonghai HUANG
Journal of Southern Medical University 2018;38(11):1366-1371
OBJECTIVE:
To explore the association between expression of ADAM17 and cetuximad resistance in human colorectal cancer SW480 cells.
METHODS:
The expression of ADAM17 was detected using Western blotting in different human colorectal cancer cell lines, and the cells highly expressing ADAM17 were selected as the target cells. SW480 cells were transfected with ADAM17-siRNA 1 and ADAM17-siRNA 2 and the changes in the expression of ADAM17 protein were detected using Western blotting. SW480 cells were exposed to cetuximad for 24 h and the cell apoptosis was analyzed using flow cytometry. Transwell assay was used to examine the migration ability of SW480 cells with different expression levels of ADAM17; Western blotting was used to analyze the changes in the expressions of AKT signaling pathway-related proteins in the treated cells.
RESULTS:
The baseline expressions of ADAM17 were significantly higher in SW480 cells than in the other human colorectal cancer cell lines tested ( < 0.05). Both ADAM17-siRNA 1 and 2 effectively reduced the expression of ADAM17 protein in SW480 cells. Knockdown of ADAM17 with siRNA 1 significantly increased the sensitivity of SW480 cells to tocetuximad ( < 0.05), obviously inhibited the cell proliferation, migration and invasion, and significantly reduced the expressions of p-EGFR and p-AKT in the cells ( < 0.001).
CONCLUSIONS
ADAM17 knockdown obviously inhibits EGFR-AKT signaling pathway and increases the sensitivity of SW480 cells to tocetuximad.
ADAM17 Protein
;
genetics
;
metabolism
;
Antineoplastic Agents, Immunological
;
pharmacology
;
Apoptosis
;
Cell Line, Tumor
;
Cell Movement
;
Cell Proliferation
;
Cetuximab
;
pharmacology
;
Colorectal Neoplasms
;
drug therapy
;
genetics
;
metabolism
;
pathology
;
Drug Resistance, Neoplasm
;
genetics
;
ErbB Receptors
;
metabolism
;
Gene Knockdown Techniques
;
Humans
;
Neoplasm Invasiveness
;
Oncogene Protein v-akt
;
metabolism
;
RNA, Small Interfering
;
Signal Transduction
;
Transfection
;
methods
5.Genome editing for the treatment of tumorigenic viral infections and virus-related carcinomas.
Lan YU ; Xun TIAN ; Chun GAO ; Ping WU ; Liming WANG ; Bei FENG ; Xiaomin LI ; Hui WANG ; Ding MA ; Zheng HU
Frontiers of Medicine 2018;12(5):497-508
Viral infections cause at least 10%-15% of all human carcinomas. Over the last century, the elucidation of viral oncogenic roles in many cancer types has provided fundamental knowledge on carcinogenetic mechanisms and established a basis for the early intervention of virus-related cancers. Meanwhile, rapidly evolving genome-editing techniques targeting viral DNA/RNA have emerged as novel therapeutic strategies for treating virus-related carcinogenesis and have begun showing promising results. This review discusses the recent advances of genome-editing tools for treating tumorigenic viruses and their corresponding cancers, the challenges that must be overcome before clinically applying such genome-editing technologies, and more importantly, the potential solutions to these challenges.
Antiviral Agents
;
therapeutic use
;
CRISPR-Cas Systems
;
Carcinoma
;
genetics
;
therapy
;
virology
;
Gene Editing
;
Genetic Predisposition to Disease
;
Genetic Therapy
;
methods
;
Humans
;
Tumor Virus Infections
;
complications
6.Use of a Combined Gene Expression Profile in Implementing a Drug Sensitivity Predictive Model for Breast Cancer.
Xianglan ZHANG ; In Ho CHA ; Ki Yeol KIM
Cancer Research and Treatment 2017;49(1):116-128
PURPOSE: Chemotherapy targets all rapidly growing cells, not only cancer cells, and thus is often associated with unpleasant side effects. Therefore, examination of the chemosensitivity based on genotypes is needed in order to reduce the side effects. MATERIALS AND METHODS: Various computational approaches have been proposed for predicting chemosensitivity based on gene expression profiles. A linear regression model can be used to predict the response of cancer cells to chemotherapeutic drugs, based on genomic features of the cells, and appropriate sample size for this method depends on the number of predictors. We used principal component analysis and identified a combined gene expression profile to reduce the number of predictors. RESULTS: The coefficients of determinanation (R²) of prediction models with combined gene expression and several independent gene expressions were similar. Corresponding F values, which represent model significances were improved by use of a combined gene expression profile, indicating that the use of a combined gene expression profile is helpful in predicting drug sensitivity. Even better, a prediction model can be used even with small samples because of the reduced number of predictors. CONCLUSION: Combined gene expression analysis is expected to contribute to more personalized management of breast cancer cases by enabling more effective targeting of existing therapies. This procedure for identifying a cell-type-specific gene expression profile can be extended to other chemotherapeutic treatments and many other heterogeneous cancer types.
Breast Neoplasms*
;
Breast*
;
Drug Therapy
;
Gene Expression*
;
Genotype
;
Humans
;
Linear Models
;
Methods
;
Principal Component Analysis
;
Sample Size
;
Transcriptome*
7.Addressing challenges in the clinical applications associated with CRISPR/Cas9 technology and ethical questions to prevent its misuse.
Xiang Jin KANG ; Chiong Isabella Noelle CAPARAS ; Boon Seng SOH ; Yong FAN
Protein & Cell 2017;8(11):791-795
Animals
;
CRISPR-Cas Systems
;
Cystic Fibrosis
;
genetics
;
therapy
;
Gene Editing
;
ethics
;
Genetic Therapy
;
ethics
;
methods
;
Humans
;
Mice
;
Neoplasms
;
genetics
;
therapy
8.Correction of β-thalassemia mutant by base editor in human embryos.
Puping LIANG ; Chenhui DING ; Hongwei SUN ; Xiaowei XIE ; Yanwen XU ; Xiya ZHANG ; Ying SUN ; Yuanyan XIONG ; Wenbin MA ; Yongxiang LIU ; Yali WANG ; Jianpei FANG ; Dan LIU ; Zhou SONGYANG ; Canquan ZHOU ; Junjiu HUANG
Protein & Cell 2017;8(11):811-822
β-Thalassemia is a global health issue, caused by mutations in the HBB gene. Among these mutations, HBB -28 (A>G) mutations is one of the three most common mutations in China and Southeast Asia patients with β-thalassemia. Correcting this mutation in human embryos may prevent the disease being passed onto future generations and cure anemia. Here we report the first study using base editor (BE) system to correct disease mutant in human embryos. Firstly, we produced a 293T cell line with an exogenous HBB -28 (A>G) mutant fragment for gRNAs and targeting efficiency evaluation. Then we collected primary skin fibroblast cells from a β-thalassemia patient with HBB -28 (A>G) homozygous mutation. Data showed that base editor could precisely correct HBB -28 (A>G) mutation in the patient's primary cells. To model homozygous mutation disease embryos, we constructed nuclear transfer embryos by fusing the lymphocyte or skin fibroblast cells with enucleated in vitro matured (IVM) oocytes. Notably, the gene correction efficiency was over 23.0% in these embryos by base editor. Although these embryos were still mosaic, the percentage of repaired blastomeres was over 20.0%. In addition, we found that base editor variants, with narrowed deamination window, could promote G-to-A conversion at HBB -28 site precisely in human embryos. Collectively, this study demonstrated the feasibility of curing genetic disease in human somatic cells and embryos by base editor system.
APOBEC-1 Deaminase
;
genetics
;
metabolism
;
Base Sequence
;
Blastomeres
;
cytology
;
metabolism
;
CRISPR-Cas Systems
;
Embryo, Mammalian
;
metabolism
;
pathology
;
Female
;
Fibroblasts
;
metabolism
;
pathology
;
Gene Editing
;
methods
;
Gene Expression
;
HEK293 Cells
;
Heterozygote
;
Homozygote
;
Humans
;
Point Mutation
;
Primary Cell Culture
;
Promoter Regions, Genetic
;
Sequence Analysis, DNA
;
beta-Globins
;
genetics
;
metabolism
;
beta-Thalassemia
;
genetics
;
metabolism
;
pathology
;
therapy
9.Increasing the safety and efficacy of chimeric antigen receptor T cell therapy.
Protein & Cell 2017;8(8):573-589
Chimeric antigen receptor (CAR) T cell therapy is a promising cancer treatment that has recently been undergoing rapid development. However, there are still some major challenges, including precise tumor targeting to avoid off-target or "on-target/off-tumor" toxicity, adequate T cell infiltration and migration to solid tumors and T cell proliferation and persistence across the physical and biochemical barriers of solid tumors. In this review, we focus on the primary challenges and strategies to design safe and effective CAR T cells, including using novel cutting-edge technologies for CAR and vector designs to increase both the safety and efficacy, further T cell modification to overcome the tumor-associated immune suppression, and using gene editing technologies to generate universal CAR T cells. All these efforts promote the development and evolution of CAR T cell therapy and move toward our ultimate goal-curing cancer with high safety, high efficacy, and low cost.
Cell Movement
;
immunology
;
Cell Proliferation
;
Gene Expression
;
Genetic Vectors
;
chemistry
;
metabolism
;
Humans
;
Immunotherapy, Adoptive
;
methods
;
Lymphocyte Activation
;
Lymphocytes, Tumor-Infiltrating
;
cytology
;
immunology
;
transplantation
;
Neoplasms
;
genetics
;
immunology
;
pathology
;
therapy
;
Patient Safety
;
Receptors, Antigen, T-Cell
;
chemistry
;
genetics
;
immunology
;
Recombinant Fusion Proteins
;
chemistry
;
genetics
;
immunology
;
Signal Transduction
;
Single-Chain Antibodies
;
chemistry
;
genetics
;
T-Lymphocytes
;
cytology
;
immunology
;
transplantation
;
Treatment Outcome
10.Prognostic value of Sox2 expression in digestive tract cancers: A meta-analysis.
Xiao-Ming DU ; Liu-Hua WANG ; Xiao-Wen CHEN ; Yi-Xiao LI ; Yu-Cong LI ; Yu-Wen CAO
Journal of Huazhong University of Science and Technology (Medical Sciences) 2016;36(3):305-312
The aim of the present study was to accurately evaluate the association of Sox2 expression with the survival of patients with digestive tract cancers. Relevant literatures were identified by comprehensively searching databases including the Pubmed, Embase, CBMdisc, and Wanfang (up to October 2014). A meta-analysis was performed to clarify the association between Sox2 expression and overall survival or clinicopathological parameters of patients with digestive tract cancers (esophageal, gastric, and colorectal cancers). The results showed a significant association between high Sox2 expression and poor overall survival in patients with digestive tract carcinomas (HR=1.55, 95% CI=1.04-2.31), especially for patients with esophageal cancer (HR=2.04, 95%CI=1.30-3.22), colorectal cancer (HR=1.40, 95% CI=1.04-1.89), and digestive tract adenocarcinoma (HR=1.80, 95% CI=1.12-2.89), for Europeans (HR=1.98, 95% CI=1.44-2.71) or patients who did not receive neoadjuvant treatment (HR=1.73, 95% CI=1.10-2.72). Furthermore, Sox2 over-expression was highly correlated with vascular invasion (OR=1.86, 95% CI=1.25-2.77) and poor differentiation (OR=1.88, 95% CI=1.14-3.08), especially in esophageal and colorectal cancers. In conclusion, Sox2 expression may serve as a novel prognostic factor for patients with digestive tract cancers. Over-expression of Sox2 that is correlated with vascular invasion and poor differentiation suggests poor outcomes of patients with digestive tract cancers.
Antineoplastic Agents
;
therapeutic use
;
Biomarkers, Tumor
;
genetics
;
metabolism
;
Colorectal Neoplasms
;
diagnosis
;
drug therapy
;
mortality
;
pathology
;
Esophageal Neoplasms
;
diagnosis
;
drug therapy
;
mortality
;
pathology
;
Gastrointestinal Tract
;
metabolism
;
pathology
;
Gene Expression
;
Humans
;
Neoadjuvant Therapy
;
methods
;
Neoplasm Grading
;
Neoplasms, Vascular Tissue
;
diagnosis
;
drug therapy
;
mortality
;
secondary
;
Prognosis
;
SOXB1 Transcription Factors
;
genetics
;
metabolism
;
Stomach Neoplasms
;
diagnosis
;
drug therapy
;
mortality
;
pathology
;
Survival Analysis

Result Analysis
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