1
|
Xu Z, Zhang L, Wang X, Pan B, Zhu M, Wang T, Xu W, Li L, Wei Y, Wu J, Zhou X. Construction of a TAN-associated risk score model with integrated multi-omics data analysis and clinical validation in gastric cancer. Life Sci 2024; 349:122731. [PMID: 38782354 DOI: 10.1016/j.lfs.2024.122731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 04/30/2024] [Accepted: 05/15/2024] [Indexed: 05/25/2024]
Abstract
AIMS An increasing number of studies have highlighted the biological significance of neutrophil activation and polarization in tumor progression. However, the characterization of tumor-associated neutrophils (TANs) is inadequately investigated. MATERIALS AND METHODS Patients' expression profiles were obtained from TCGA, GEO, and IMvigor210 databases. Six algorithms were used to assess immune cell infiltration. RNA sequencing was conducted to evaluate the differentially expressed genes between induced N1- and N2-like neutrophils. A TAN-associated risk score (TRS) model was established using a combination of weighted gene co-expression network analysis (WGCNA) and RNA-seq data and further assessed in pan-cancer. A clinical cohort of 117 GC patients was enrolled to assess the role of TANs in GC via immunohistochemistry (IHC). KEY FINDINGS A TRS signature was built with 10 TAN-related genes (TRGs) and most TRGs were highly abundant in the TANs of the GC microenvironment. The TRS model could accurately predict patients' prognosis, as well as their responses to chemotherapy and immunotherapy. The TRS was positively correlated with pro-tumor immune cells and exhibited negative relationship with anti-tumor immune cells. Additional functional analyses revealed that the signature was positively related to pro-tumor and immunosuppression pathways, such as the hypoxia pathway, across pan-cancer. Furthermore, our clinical cohort demonstrated TANs as an independent prognostic factor for GC patients. SIGNIFICANCE This study constructed and confirmed the value of a novel TRS model for prognostic prediction of GC and pan-cancer. Further evaluation of TRS and TANs will help strengthen the understanding of the tumor microenvironment and guide more effective therapeutic strategies.
Collapse
Affiliation(s)
- Zhangdi Xu
- National Clinical Research Center for Hematologic Diseases, Jiangsu Institute of Hematology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - Lan Zhang
- Department of Radiation Oncology, Shanghai Tongren Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xiaping Wang
- Department of Pathology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China
| | - Bihui Pan
- Department of Hematology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Mingxia Zhu
- Department of Radiation Oncology, The First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - Tongshan Wang
- Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Wei Xu
- Department of Hematology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China
| | - Lin Li
- Department of Pathology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China.
| | - Yong Wei
- Department of Urology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing 210000, China.
| | - Jiazhu Wu
- Department of Hematology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China.
| | - Xin Zhou
- Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China; Department of Oncology, The Affiliated Suqian First People's Hospital of Nanjing Medical University, Suqian 223812, China..
| |
Collapse
|
2
|
Peres N, Lepski GA, Fogolin CS, Evangelista GCM, Flatow EA, de Oliveira JV, Pinho MP, Bergami-Santos PC, Barbuto JAM. Profiling of Tumor-Infiltrating Immune Cells and Their Impact on Survival in Glioblastoma Patients Undergoing Immunotherapy with Dendritic Cells. Int J Mol Sci 2024; 25:5275. [PMID: 38791312 PMCID: PMC11121326 DOI: 10.3390/ijms25105275] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 05/07/2024] [Accepted: 05/08/2024] [Indexed: 05/26/2024] Open
Abstract
Glioblastomas (GBM) are the most common primary malignant brain tumors, comprising 2% of all cancers in adults. Their location and cellular and molecular heterogeneity, along with their highly infiltrative nature, make their treatment challenging. Recently, our research group reported promising results from a prospective phase II clinical trial involving allogeneic vaccination with dendritic cells (DCs). To date, six out of the thirty-seven reported cases remain alive without tumor recurrence. In this study, we focused on the characterization of infiltrating immune cells observed at the time of surgical resection. An analytical model employing a neural network-based predictive algorithm was used to ascertain the potential prognostic implications of immunological variables on patients' overall survival. Counterintuitively, immune phenotyping of tumor-associated macrophages (TAMs) has revealed the extracellular marker PD-L1 to be a positive predictor of overall survival. In contrast, the elevated expression of CD86 within this cellular subset emerged as a negative prognostic indicator. Fundamentally, the neural network algorithm outlined here allows a prediction of the responsiveness of patients undergoing dendritic cell vaccination in terms of overall survival based on clinical parameters and the profile of infiltrated TAMs observed at the time of tumor excision.
Collapse
Affiliation(s)
- Nataly Peres
- Department of Psychiatry, Medical School, Universidade de Sao Paulo, Sao Paulo 05403-010, Brazil;
| | - Guilherme A. Lepski
- LIM 26, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-000, Brazil
- Department of Neurosurgery, Eberhard-Karls University, 72074 Tuebingen, Germany
| | - Carla S. Fogolin
- Department of Immunology, Instituto de Ciencias Biomedicas, Universidade de Sao Paulo, Sao Paulo 05508-000, Brazil; (C.S.F.); (G.C.M.E.); (E.A.F.); (J.V.d.O.); (M.P.P.); (P.C.B.-S.); (J.A.M.B.)
- Laboratory of Medical Investigation in Pathogenesis and Targeted Therapy in Onco-Immuno-Hematology (LIM-31), Department of Hematology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-000, Brazil
| | - Gabriela C. M. Evangelista
- Department of Immunology, Instituto de Ciencias Biomedicas, Universidade de Sao Paulo, Sao Paulo 05508-000, Brazil; (C.S.F.); (G.C.M.E.); (E.A.F.); (J.V.d.O.); (M.P.P.); (P.C.B.-S.); (J.A.M.B.)
- Laboratory of Medical Investigation in Pathogenesis and Targeted Therapy in Onco-Immuno-Hematology (LIM-31), Department of Hematology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-000, Brazil
| | - Elizabeth A. Flatow
- Department of Immunology, Instituto de Ciencias Biomedicas, Universidade de Sao Paulo, Sao Paulo 05508-000, Brazil; (C.S.F.); (G.C.M.E.); (E.A.F.); (J.V.d.O.); (M.P.P.); (P.C.B.-S.); (J.A.M.B.)
- Laboratory of Medical Investigation in Pathogenesis and Targeted Therapy in Onco-Immuno-Hematology (LIM-31), Department of Hematology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-000, Brazil
| | - Jaqueline V. de Oliveira
- Department of Immunology, Instituto de Ciencias Biomedicas, Universidade de Sao Paulo, Sao Paulo 05508-000, Brazil; (C.S.F.); (G.C.M.E.); (E.A.F.); (J.V.d.O.); (M.P.P.); (P.C.B.-S.); (J.A.M.B.)
- Laboratory of Medical Investigation in Pathogenesis and Targeted Therapy in Onco-Immuno-Hematology (LIM-31), Department of Hematology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-000, Brazil
| | - Mariana P. Pinho
- Department of Immunology, Instituto de Ciencias Biomedicas, Universidade de Sao Paulo, Sao Paulo 05508-000, Brazil; (C.S.F.); (G.C.M.E.); (E.A.F.); (J.V.d.O.); (M.P.P.); (P.C.B.-S.); (J.A.M.B.)
| | - Patricia C. Bergami-Santos
- Department of Immunology, Instituto de Ciencias Biomedicas, Universidade de Sao Paulo, Sao Paulo 05508-000, Brazil; (C.S.F.); (G.C.M.E.); (E.A.F.); (J.V.d.O.); (M.P.P.); (P.C.B.-S.); (J.A.M.B.)
| | - José A. M. Barbuto
- Department of Immunology, Instituto de Ciencias Biomedicas, Universidade de Sao Paulo, Sao Paulo 05508-000, Brazil; (C.S.F.); (G.C.M.E.); (E.A.F.); (J.V.d.O.); (M.P.P.); (P.C.B.-S.); (J.A.M.B.)
- Laboratory of Medical Investigation in Pathogenesis and Targeted Therapy in Onco-Immuno-Hematology (LIM-31), Department of Hematology, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-000, Brazil
| |
Collapse
|
3
|
Dai T, Sun H, Liban T, Vicente-Suarez I, Zhang B, Song Y, Jiang Z, Yu J, Sheng J, Lv B. A novel anti-LAG-3/TIGIT bispecific antibody exhibits potent anti-tumor efficacy in mouse models as monotherapy or in combination with PD-1 antibody. Sci Rep 2024; 14:10661. [PMID: 38724599 PMCID: PMC11082181 DOI: 10.1038/s41598-024-61477-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 05/06/2024] [Indexed: 05/12/2024] Open
Abstract
We report the generation of a novel anti-LAG-3/TIGIT bispecific IgG4 antibody, ZGGS15, and evaluated its anti-tumor efficacy in mouse models as monotherapy or in combination with a PD-1 antibody. ZGGS15 exhibited strong affinities for human LAG-3 and TIGIT, with KDs of 3.05 nM and 2.65 nM, respectively. ZGGS15 has EC50s of 0.69 nM and 1.87 nM for binding to human LAG-3 and TIGIT on CHO-K1 cells, respectively. ZGGS15 competitively inhibited the binding of LAG-3 to MHC-II (IC50 = 0.77 nM) and the binding of TIGIT to CD155 (IC50 = 0.24 nM). ZGGS15 does not induce ADCC, CDC, or obvious cytokine production. In vivo results showed that ZGGS15 had better anti-tumor inhibition than single anti-LAG-3 or anti-TIGIT agents and demonstrated a synergistic effect when combined with nivolumab, with a significantly higher tumor growth inhibition of 95.80% (p = 0.001). The tumor volume inhibition rate for ZGGS15 at 2 mg/kg was 69.70%, and for ZGGS15 at 5 mg/kg plus nivolumab at 1 mg/kg, it was 94.03% (p < 0.001). Our data reveal that ZGGS15 exhibits potent anti-tumor efficacy without eliciting ADCC or CDC or causing cytokine production, therefore having a safe profile.
Collapse
Affiliation(s)
- Tongcheng Dai
- Suzhou Zelgen Biopharmaceuticals Co., Ltd, Kunshan, China
| | - Hao Sun
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Tyler Liban
- Gensun Biopharma Inc., Thousand Oaks, CA, USA
| | | | - Bin Zhang
- Suzhou Zelgen Biopharmaceuticals Co., Ltd, Kunshan, China
| | - Yongping Song
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Zhongxing Jiang
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jifeng Yu
- The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
| | | | - Binhua Lv
- Suzhou Zelgen Biopharmaceuticals Co., Ltd, Kunshan, China.
| |
Collapse
|
4
|
Yang S, Hu C, Chen X, Tang Y, Li J, Yang H, Yang Y, Ying B, Xiao X, Li SZ, Gu L, Zhu Y. Crosstalk between metabolism and cell death in tumorigenesis. Mol Cancer 2024; 23:71. [PMID: 38575922 PMCID: PMC10993426 DOI: 10.1186/s12943-024-01977-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 03/02/2024] [Indexed: 04/06/2024] Open
Abstract
It is generally recognized that tumor cells proliferate more rapidly than normal cells. Due to such an abnormally rapid proliferation rate, cancer cells constantly encounter the limits of insufficient oxygen and nutrient supplies. To satisfy their growth needs and resist adverse environmental events, tumor cells modify the metabolic pathways to produce both extra energies and substances required for rapid growth. Realizing the metabolic characters special for tumor cells will be helpful for eliminating them during therapy. Cell death is a hot topic of long-term study and targeting cell death is one of the most effective ways to repress tumor growth. Many studies have successfully demonstrated that metabolism is inextricably linked to cell death of cancer cells. Here we summarize the recently identified metabolic characters that specifically impact on different types of cell deaths and discuss their roles in tumorigenesis.
Collapse
Affiliation(s)
- Shichao Yang
- School of Medicine, Chongqing University, Chongqing, 400030, P. R. China
| | - Caden Hu
- School of Medicine, Chongqing University, Chongqing, 400030, P. R. China
| | - Xiaomei Chen
- School of Medicine, Chongqing University, Chongqing, 400030, P. R. China
| | - Yi Tang
- Molecular Medicine Diagnostic and Testing Center, Chongqing Medical University, Chongqing, P. R. China
- Department of Pathology, College of Basic Medicine, Chongqing Medical University, Chongqing, P. R. China
| | - Juanjuan Li
- Department of breast and thyroid surgery, Renmin hospital of Wuhan University, Wuhan, 430060, P. R. China
| | - Hanqing Yang
- School of Medicine, Chongqing University, Chongqing, 400030, P. R. China
| | - Yi Yang
- Institute of Pathology and Southwest Cancer Center, The First Affiliated Hospital, Key Laboratory of Tumor Immunopathology, Third Military Medical University (Army Medical University, Ministry of Education of China, Chongqing, 400038, P. R. China
| | - Binwu Ying
- Department of Laboratory Medicine/Clinical Laboratory Medicine Research Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, P. R. China.
| | - Xue Xiao
- Department of Gynecology and Obstetrics, West China Second University Hospital, Sichuan University, Chengdu, P. R. China.
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second Hospital, Sichuan University, Chengdu, P. R. China.
| | - Shang-Ze Li
- School of Medicine, Chongqing University, Chongqing, 400030, P. R. China.
| | - Li Gu
- Department of Laboratory Medicine/Clinical Laboratory Medicine Research Center, West China Hospital, Sichuan University, Chengdu, Sichuan Province, 610041, P. R. China.
| | - Yahui Zhu
- School of Medicine, Chongqing University, Chongqing, 400030, P. R. China.
| |
Collapse
|
5
|
Chen M, Wang S. Preclinical development and clinical studies of targeted JAK/STAT combined Anti-PD-1/PD-L1 therapy. Int Immunopharmacol 2024; 130:111717. [PMID: 38387193 DOI: 10.1016/j.intimp.2024.111717] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 02/24/2024]
Abstract
Programmed cell death protein 1 (PD-1) binds to its ligand to help tumours evade the immune system and promote tumour progression. Although anti-PD-1/PD-L1 therapies show powerful effects in some patients, most patients are unable to benefit from this treatment due to treatment resistance. Therefore, it is important to overcome tumour resistance to PD-1/PD-L1 blockade. There is substantial evidence suggesting that the JAK/STAT signalling pathway plays a significant role in PD-1/PD-L1 expression and anti-PD-1/PD-L1 treatment. Herein, we describe the effects of the JAK/STAT signalling pathway on PD-1/PD-L1. Subsequently, the relationship between molecular mutations in the JAK/STAT signalling pathway and immune resistance was analysed. Finally, the latest advancements in drugs targeting the JAK/STAT pathway combined with PD1/PD-L1 inhibitors are summarised.
Collapse
Affiliation(s)
- Miaomiao Chen
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Siliang Wang
- Department of Oncology, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
| |
Collapse
|
6
|
Liu H, Chan S, Li M, Chen S. Cuproptosis-Related Gene Signature Contributes to Prognostic Prediction and Immunosuppression in Multiple Myeloma. Mol Biotechnol 2024; 66:475-488. [PMID: 37213025 DOI: 10.1007/s12033-023-00770-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2023] [Accepted: 05/08/2023] [Indexed: 05/23/2023]
Abstract
Cuproptosis is a type of programmed cell death triggered by accumulation of intracellular copper which was considered closely related to tumor progression. The study of cuproptosis in multiple myeloma (MM) is however limited. To determine the prognostic significance of cuproptosis-related gene signature in MM, we interrogated gene expression and overall survival with other available clinical variables from public datasets. Four cuproptosis-related genes were included to establish a prognostic survival model by least absolute shrinkage and selection operator (LASSO) Cox regression analysis, which showed a good performance on prognosis prediction in both training and validation cohorts. Patients with higher cuproptosis-related risk score (CRRS) exhibited worse prognosis compared with lower risk score. Survival prediction capacity and clinical benefit were elevated after integrating CRRS to existing prognostic stratification system (International Staging System, ISS or Revised International Staging System, RISS) both on 3-year and 5-year survival. Based on CRRS groups, functional enrichment analysis and immune infiltration in bone marrow microenvironment revealed correlation between CRRS and immunosuppression. In conclusion, our study found that cuproptosis-related gene signature is an independent poor prognostic factor and functions negatively on immune microenvironment, which provides another perspective on prognosis assessment and immunotherapy strategy in MM.
Collapse
Affiliation(s)
- Huixin Liu
- Department of Hematopathology, The First Affiliated Hospital, Sun Yat-sen University, No. 58, Zhongshan 2Nd Road, Guangzhou, 510080, China.
| | - Szehoi Chan
- Department of Pharmacology, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, No.66, Gongchang Road, Shenzhen, 518107, China
| | - Miao Li
- Department of Pharmacology, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, No.66, Gongchang Road, Shenzhen, 518107, China
| | - Shuna Chen
- Department of Pharmacology, Molecular Cancer Research Center, School of Medicine, Sun Yat-sen University, No.66, Gongchang Road, Shenzhen, 518107, China
| |
Collapse
|
7
|
Jiang H, Zhang Q. Gut microbiota influences the efficiency of immune checkpoint inhibitors by modulating the immune system (Review). Oncol Lett 2024; 27:87. [PMID: 38249807 PMCID: PMC10797324 DOI: 10.3892/ol.2024.14221] [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: 08/18/2023] [Accepted: 12/13/2023] [Indexed: 01/23/2024] Open
Abstract
Immune checkpoint inhibitors (ICIs) are commonly utilized in tumor treatment. However, they still have limitations, including insufficient effectiveness and unavoidable adverse events. It has been demonstrated that gut microbiota can influence the effectiveness of ICIs, although the precise mechanism remains unclear. Gut microbiota plays a crucial role in the formation and development of the immune system. Gut microbiota and their associated metabolites play a regulatory role in immune balance. Tumor occurrence and development are linked to their ability to evade recognition and destruction by the immune system. The purpose of ICIs treatment is to reinitiate the immune system's elimination of tumor cells. Thus, the immune system acts as a communication bridge between gut microbiota and ICIs. Varied composition and characteristics of gut microbiota result in diverse outcomes in ICIs treatment. Certain gut microbiota-related metabolites also influence the therapeutic efficacy of ICIs to some extent. The administration of antibiotics before or during ICIs treatment can diminish treatment effectiveness. The utilization of probiotics and fecal transplantation can partially alter the outcome of ICIs treatment. The present review synthesized previous studies to examine the association between gut microbiota and ICIs, elucidated the role of gut microbiota and its associated factors in ICIs treatment, and offered direction for future research.
Collapse
Affiliation(s)
- Haihong Jiang
- Department of Oncology, Huaihe Hospital of Henan University, Kaifeng, Henan 475001, P.R. China
| | - Qinlu Zhang
- Department of Endocrinology, Huaihe Hospital of Henan University, Kaifeng, Henan 475001, P.R. China
| |
Collapse
|
8
|
Zhang S, Qin O, Xu H, Wu S, Huang W, Song H. A comprehensive analysis of the prognostic and immunotherapeutic characteristics of KIFC1 in pan-cancer and its role in the malignant phenotype of pancreatic cancer. Aging (Albany NY) 2023; 15:14845-14863. [PMID: 38112634 PMCID: PMC10781448 DOI: 10.18632/aging.205311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/06/2023] [Indexed: 12/21/2023]
Abstract
BACKGROUND Kinesin family member C1 (KIFC1) is an essential member of the motor protein family, which is critically involved in various cellular events, such as mitosis, meiosis, and macromolecular transport, but also in carcinogenesis, malignant progression, and tumor recurrence. METHODS The analysis determined the relationship between KIFC1 expression, prognosis significance, immune characteristics landscape, and genetic alterations in pan-cancer with the data extracted from web-based platforms and databases, including but not limited to UCSC, NCBI, GEPIA2, HPA, cBioPortal, SangerBox, UALCAN, GEO and TCGA. Additionally, the expression of KIFC1 in pancreatic cancer tumor tissues and adjacent normal tissues was evaluated through immunohistochemistry. In vitro Edu, colony formation, wound healing, and Transwell assay were done to elucidate the biological functions of KIFC1 in pancreatic cancer cells. RESULTS The analysis revealed that KIFC1 is upregulated in most cancers, and its increased expression is significantly associated with reduced overall survival and disease-free survival in multiple cancer types. Additionally, strong correlations between KIFC1 expression and tumor immunotherapy were observed across various malignancies. Through univariate and multivariate Cox regression analyses using TCGA data, KIFC1 was identified as an independent predictor of prognosis in pancreatic cancer cases. Furthermore, cellular experiments demonstrated that knockdown of KIFC1 resulted in the suppression of cell proliferation, migration, and invasive ability. CONCLUSIONS Our study indicated that KIFC1 harbors the potential to be a prognostic and immunotherapeutic biomarker of tumors, and it can have an impact on the metastasis and the cell cycle of pancreatic cancer cells.
Collapse
Affiliation(s)
- Shihang Zhang
- Department of General Surgery, Dalang Hospital, Dongguan, Guangdong, PR China
| | - Ouyang Qin
- Department of General Surgery, Dalang Hospital, Dongguan, Guangdong, PR China
| | - Huanming Xu
- Department of General Surgery, Dalang Hospital, Dongguan, Guangdong, PR China
| | - Shu Wu
- Department of Hepatic-Biliary-Pancreatic Surgery, The Affiliated Dongguan Hospital Southern Medical University (Dongguan People’s Hospital), Dongguan, Guangdong, PR China
| | - Wei Huang
- Department of Hepatic-Biliary-Pancreatic Surgery, The Affiliated Hospital of Guizhou Medical University, Guiyang, PR China
| | - Hailiang Song
- Department of General Surgery, Dalang Hospital, Dongguan, Guangdong, PR China
| |
Collapse
|
9
|
Tian Q, Lu G, Ma Y, Ma L, Shang Y, Guo N, Huang Y, Zhu L, Du R. Integrated analysis and validation of the TRIM28-H2AX-CDK4 diagnostic model assists to predict the progression of HCC. Aging (Albany NY) 2023; 15:14617-14650. [PMID: 37870748 PMCID: PMC10781449 DOI: 10.18632/aging.205137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 10/03/2023] [Indexed: 10/24/2023]
Abstract
Hepatocellular carcinoma (HCC) is the second leading cause of cancer-related mortality in the world. However, identifying key genes that can be exploited for the effective diagnosis and management of HCC remains difficult. The study aims to examine the prognostic and diagnostic value of TRIM28-H2AX-CDK4 axis in HCC. Analysis in TCGA, GSEA and Gene expression profiling interactive analysis online tools were performed to explore the expression profiles of TRIM28, H2AX and CDK4. Data demonstrating the correlation between TRIM28 expression levels and immune infiltration states or the expression of genes associated with immune checkpoints genes were exacted from TCGA and TIMER. Genetic alteration and enrichment analysis were performed using the cBioPortal and GEPIA2 tools. Finally, the expression of these proteins in HCC was then examined and validated in an independent cohort using immunohistochemistry. TRIM28 alteration exhibited co-occurrence instead of mutual exclusivity with a large number of immune checkpoint components and tumor-infiltrating immune cells, especially B cells, were found to serve roles in patients with HCC with different TRIM28 expression levels. Higher expression levels of TRIM28, H2AX and CDK4 were associated with a poorer prognosis and recurrence in patients with HCC according to TCGA, which was validated further in an independent cohort of patients with HCC. Area under curve revealed the superior predictive power of applying this three-gene signatures in this validation cohort. The diagnostic model based on this TRIM28-H2AX-CDK4 signature is efficient and provides a novel strategy for the clinical management of HCC.
Collapse
Affiliation(s)
- Qifei Tian
- Department of Gastroenterology, Dongying People’s Hospital, Dongying, Shandong 257091, China
| | - Guofang Lu
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an 710032, China
- Department of Physiology and Pathophysiology, National Key Discipline of Cell Biology, Fourth Military Medical University, Xi’an 710032, China
| | - Ying Ma
- Department of Gastroenterology, 941 Hospital of PLA, Xining, Qinghai 810007, China
| | - Lingling Ma
- Department of Gastroenterology, Dongying People’s Hospital, Dongying, Shandong 257091, China
| | - Yulong Shang
- State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers and National Clinical Research Center for Digestive Diseases, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, Xi’an 710032, China
| | - Ni Guo
- Department of Gastroenterology, Dongying People’s Hospital, Dongying, Shandong 257091, China
| | - Yan Huang
- Department of Critical Medicine, 942 Hospital of PLA, Yin Chuan, Ning Xia, China
| | - Lin Zhu
- Department of Gastroenterology, 941 Hospital of PLA, Xining, Qinghai 810007, China
| | - Rui Du
- Institute for Biomedical Sciences of Pain, Tangdu Hospital, Fourth Military Medical University, Xi’an 710038, China
| |
Collapse
|
10
|
Guo Y, Gao F, Ahmed A, Rafiq M, Yu B, Cong H, Shen Y. Immunotherapy: cancer immunotherapy and its combination with nanomaterials and other therapies. J Mater Chem B 2023; 11:8586-8604. [PMID: 37614168 DOI: 10.1039/d3tb01358h] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2023]
Abstract
Immunotherapy is a new type of tumor treatment after surgery, radiotherapy and chemotherapy, and can be used to manage and destroy tumor cells through activating or strengthening the immune response. Immunotherapy has the benefits of a low recurrence rate and high specificity compared to traditional treatment methods. Immunotherapy has developed rapidly in recent years and has become a research hotspot. Currently, chimeric antigen receptor T-cell immunotherapy and immune checkpoint inhibitors are the most effective tumor immunotherapies in clinical practice. While tumor immunotherapy brings hope to patients, it also faces some challenges and still requires continuous research and progress. Combination therapy is the future direction of anti-tumor treatment. In this review, the main focus is on an overview of the research progress of immune checkpoint inhibitors, cellular therapies, tumor vaccines, small molecule inhibitors and oncolytic virotherapy in tumor treatment, as well as the combination of immunotherapy with other treatments.
Collapse
Affiliation(s)
- Yuanyuan Guo
- College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Institute of Biomedical Materials and Engineering, Qingdao University, Qingdao, 266071, China.
| | - Fengyuan Gao
- College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Institute of Biomedical Materials and Engineering, Qingdao University, Qingdao, 266071, China.
| | - Adeel Ahmed
- College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Institute of Biomedical Materials and Engineering, Qingdao University, Qingdao, 266071, China.
| | - Muhammad Rafiq
- College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Institute of Biomedical Materials and Engineering, Qingdao University, Qingdao, 266071, China.
| | - Bing Yu
- College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Institute of Biomedical Materials and Engineering, Qingdao University, Qingdao, 266071, China.
- State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao 266071, China
| | - Hailin Cong
- College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Institute of Biomedical Materials and Engineering, Qingdao University, Qingdao, 266071, China.
- State Key Laboratory of Bio-Fibers and Eco-Textiles, Qingdao University, Qingdao 266071, China
- School of Materials Science and Engineering, Shandong University of Technology, Zibo 255000, China
| | - Youqing Shen
- College of Chemistry and Chemical Engineering, College of Materials Science and Engineering, Institute of Biomedical Materials and Engineering, Qingdao University, Qingdao, 266071, China.
- Key Laboratory of Biomass Chemical Engineering of Ministry of Education, Center for Bionanoengineering, and Department of Chemical and Biological Engineering, Zhejiang University, Hangzhou, Zhejiang, 310027, China
| |
Collapse
|
11
|
Wu M, Wu S, Chen Y, Sun L, Zhou J. Immune Activation Effects at Different Irradiated Sites and Optimal Timing of Radioimmunotherapy in Patients with Extensive-Stage Small Cell Lung Cancer: a Real-World Analysis. Biol Proced Online 2023; 25:24. [PMID: 37710179 PMCID: PMC10503112 DOI: 10.1186/s12575-023-00217-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 08/17/2023] [Indexed: 09/16/2023] Open
Abstract
BACKGROUND In view of the limited data on radiotherapy (RT) combined with immunotherapy in patients with extensive-stage small cell lung cancer (ES-SCLC), this study aimed to identify the immune activation effect on different sites and the survival outcomes of radioimmunotherapy at different treatment stages. METHODS Forty-five patients diagnosed with ES-SCLC were included in this retrospective analysis. We collected the overall survival (OS) of the patients,, recorded the blood cell counts before, during, and after RT, and derived blood index ratios such as the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). The datasets were analyzed using the Spearman rank correlation test, Kruskal-Wallis rank sum test and logistic regression. RESULTS Among the selected blood indices, the delta-NLR/PLR/Sll correlated with different irradiated organs, and the mean ranks of these three indices were the lowest in the brain-irradiated group during immunotherapy. Additionally, adjunct first-line immunotherapy with RT demonstrated a significant improvement compared to second- or third-line therapy and subsequent therapies. CONCLUSION Our findings suggest that compared to other organs, the strongest immune activation effect occurs with brain RT, and ES-SCLC patients who received radioimmunotherapy (RIT) earlier achieved higher OS rates.
Collapse
Affiliation(s)
- Min Wu
- Department of Radiation Oncology, Nanjing Medical University, Nanjing, Jiangsu, China
- Suzhou Cancer Center Core Laboratory, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Shihao Wu
- Medical School, Anhui University of Science and Technology, Huainan, China
| | - Yuetong Chen
- Suzhou Cancer Center Core Laboratory, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China
| | - Liangchao Sun
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.
| | - Jundong Zhou
- Department of Radiation Oncology, Nanjing Medical University, Nanjing, Jiangsu, China.
- Suzhou Cancer Center Core Laboratory, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, Jiangsu, China.
| |
Collapse
|
12
|
Li B, Guo Y, Yi Y, Huang Z, Ren Y, Wang H, Yang L. Non-spatial and spatial heterogeneity revealed a suppressive immune feature of Siglec-15 in lung adenocarcinomas. J Transl Med 2023; 21:599. [PMID: 37674198 PMCID: PMC10483852 DOI: 10.1186/s12967-023-04489-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 08/30/2023] [Indexed: 09/08/2023] Open
Abstract
BACKGROUND Sialic acid-binding immunoglobulin-like lectin-15 (Siglec-15) has emerged as a novel immunotherapy candidate, which deserves a comprehensive investigation in lung adenocarcinoma (LUAD). METHODS Multiplex fluorescence-based immunohistochemistry was conducted to assess Siglec-15 expression and tumor-infiltrating immune cells in LUAD from Tianjin cohort, with validation cohorts Xinchao 04 and 07. RESULTS This study revealed that Siglec-15 was positively correlated with CD8+ T cells and tumor-associated macrophages (TAMs) infiltration, but CD8+ T cells were mostly infiltrated in the stroma area, not in the tumor area. Spatially, fewer CD8+ T cells surrounded Siglec-15+ tumor cells in PD-L1- cells, and more TAMs surrounded Siglec-15+ tumor cells in PD-L1-/+ cells. Siglec-15+ TAMs infiltrated with more CD8+ T cells, and were closer to CD8+ T cells than Siglec-15- TAMs and Siglec-15+ tumor cells. Siglec-15+ TAMs infiltrated with more Tregs and were closer to Tregs than Siglec-15+ tumor cells. Siglec-15+ tumor cells or TAMs reversed CD8+ T cells prognosis value, and enhanced the prognosis value of Tregs and TAMs. The immunotyping based on Siglec-15 and CD8A / CD8+ T cells revealed that patients with high CD8A and Siglec-15 expression exhibited immune activation. Patients with low CD8A expression / CD8+ T cells infiltration and Siglec-15 overexpression were related to the activation of immunosuppressive signature and metabolism-related pathway, and infiltrated with more TAMs. CONCLUSIONS We revealed the distinct characteristics between Siglec-15+ tumor cells and TAMs in relation to CD8+ T cells, and a unique relationship between Siglec-15 and immunosuppressive TIME in LUAD, which may provide potential value for anti-Siglec-15 therapy.
Collapse
Affiliation(s)
- Baihui Li
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Huanhuxi Road, Tiyuanbei, Hexi District, Tianjin, 300060, People's Republic of China
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, China
- Department of Esophageal Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Yan Guo
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Huanhuxi Road, Tiyuanbei, Hexi District, Tianjin, 300060, People's Republic of China
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Yeran Yi
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Huanhuxi Road, Tiyuanbei, Hexi District, Tianjin, 300060, People's Republic of China
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Ziqi Huang
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Huanhuxi Road, Tiyuanbei, Hexi District, Tianjin, 300060, People's Republic of China
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Yulin Ren
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Huanhuxi Road, Tiyuanbei, Hexi District, Tianjin, 300060, People's Republic of China
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Hao Wang
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Huanhuxi Road, Tiyuanbei, Hexi District, Tianjin, 300060, People's Republic of China
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
- Tianjin's Clinical Research Center for Cancer, Tianjin, China
| | - Lili Yang
- Department of Immunology, Tianjin Medical University Cancer Institute and Hospital, Huanhuxi Road, Tiyuanbei, Hexi District, Tianjin, 300060, People's Republic of China.
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China.
- Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China.
- Tianjin's Clinical Research Center for Cancer, Tianjin, China.
| |
Collapse
|
13
|
Fu X, Zhou X, Ji F, He Q, Qiu X. Systematic analysis of the prognosis and immune infiltration of E2Fs in thyroid carcinoma. Front Genet 2023; 14:1215984. [PMID: 37560385 PMCID: PMC10407799 DOI: 10.3389/fgene.2023.1215984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 07/10/2023] [Indexed: 08/11/2023] Open
Abstract
Purpose: To evaluate the diagnostic and prognostic utility of E2F transcription factors (E2Fs) in thyroid carcinoma (THCA) and their association with immune infiltration. Methods: The transcription and protein levels of E2Fs in THCA tissues were examined using the R language and the Human Protein Atlas (HPA) database in this research. We utilized the UALCAN and GEPIA2 databases to analyze the association between the level of E2Fs and the clinicopathological features of THCA. The prognostic utility of E2F expression in THCA was studied using the R language and the Gene Set Cancer Analysis (GSCA) database. Over-representation analysis (ORA) and gene set enrichment analysis (GSEA) were employed to analyze the effect of E2F family members. The TISIDB database and Tumor Immune Estimation Resource (TIMER) database were utilized to investigate the relationship between E2F expression and the level of immune infiltration in thyroid cancer. Results: E2Fs are highly conserved in thyroid carcinoma and rarely mutated. E2Fs are strongly expressed in THCA and are highly related with the clinicopathological stage of THCA. Patients with THCA have a poor prognosis when E2Fs are highly expressed. The function of E2Fs in THCA may be closely related to the renin-angiotensin system (Ras) signaling pathway, platelet-derived growth factor (PDGF) signaling pathway, apoptosis, and immune response. With regard to the immune infiltration, E2F expression and tumor-infiltrating lymphocytes exhibited a positive connection. Conclusion: The level of E2Fs is connected with the prognosis and immune infiltration level in THCA, revealing that E2Fs may be a prognostic and immune infiltration cell marker in THCA patients.
Collapse
Affiliation(s)
- Xinghao Fu
- Department of Thyroid Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xing Zhou
- Department of Plastic and Aesthetic Surgery, Henan Provincial People’s Hospital, Zhengzhou, Henan, China
| | - Feihong Ji
- Department of Thyroid Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Qi He
- Department of Thyroid Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Xinguang Qiu
- Department of Thyroid Surgery, First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| |
Collapse
|
14
|
Lin Q, Wang X, Hu Y. The opportunities and challenges in immunotherapy: Insights from the regulation of PD-L1 in cancer cells. Cancer Lett 2023:216318. [PMID: 37454966 DOI: 10.1016/j.canlet.2023.216318] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Revised: 07/07/2023] [Accepted: 07/13/2023] [Indexed: 07/18/2023]
Abstract
The immunosuppressive molecule programmed death-ligand 1 (PD-L1) is frequently upregulated in human cancers. Binding of PD-L1 to its receptor, programmed death-1 (PD-1), on activated T cells facilitates cancer cells to evade the host immune system. Antibody-based PD-1/PD-L1 inhibitors can inhibit PD-1/PD-L1 interaction allowing reactivate cytotoxic T cells to eradicate advanced cancer cells. However, the majority of cancer patients fail to respond to anti-PD-1/PD-L1 therapies and the molecular mechanisms for this remain poorly understood. Recent studies show that PD-L1 expression level on tumor cells affect the clinical efficacy of immune checkpoint therapies. Thus, furthering our understanding of the regulatory mechanisms of PD-L1 expression in cancer cells will be critical to improve clinical response rates and the efficacy of PD-1/PD-L1 immune therapies. Here we review recent studies, primarily focusing on the mechanisms that regulate PD-L1 expression at the transcriptional, post-transcriptional and protein level, with the purpose to drive the development of more targeted and effective anti-PD-1/PD-L1 cancer therapies.
Collapse
Affiliation(s)
- Qingyu Lin
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, 150001, China; Key Laboratory of Science and Engineering for the Multi-modal Prevention and Control of Major Chronic Diseases, Ministry of Industry and Information Technology, China
| | - Xingwen Wang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, 150001, China; Key Laboratory of Science and Engineering for the Multi-modal Prevention and Control of Major Chronic Diseases, Ministry of Industry and Information Technology, China
| | - Ying Hu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, 150001, China; Key Laboratory of Science and Engineering for the Multi-modal Prevention and Control of Major Chronic Diseases, Ministry of Industry and Information Technology, China.
| |
Collapse
|
15
|
Tenuta M, Pandozzi C, Sciarra F, Campolo F, Gelibter AJ, Sirgiovanni G, Cortesi E, Lenzi A, Isidori AM, Sbardella E, Venneri MA. Circulating Natural Killer Cells as Prognostic Value for Non-Small-Cell Lung Cancer Patients Treated with Immune Checkpoint Inhibitors: Correlation with Sarcopenia. Cancers (Basel) 2023; 15:3592. [PMID: 37509255 PMCID: PMC10377538 DOI: 10.3390/cancers15143592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Revised: 07/05/2023] [Accepted: 07/10/2023] [Indexed: 07/30/2023] Open
Abstract
BACKGROUND Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of tumors. Natural killer (NK) cells can play an important role in cancer immune surveillance. The aim of this prospective observational study was to analyze peripheral blood mononuclear cells (PBMCs) in patients with advanced non-small-cell lung cancer (NSCLC) receiving ICIs in order to identify predictive factors for better survival outcomes. METHODS Forty-seven stage IV NSCLC patients were enrolled. Patients underwent baseline (T0) and longitudinal (T1) evaluations after ICIs. Peripheral immune blood cell counts were analyzed using flow cytometry. RESULTS Basal levels of CD3-CD56+ NK cells were higher in patients with controlled disease (DC) compared to progression disease (PD) patients (127 cells/µL vs. 27.8 cells/µL, p < 0.001). Lower NK cell values were independent prognostic factors for shorter overall survival (OS) (HR 0.992; 95% CI 0.987-0.997, p < 0.001) and progression-free survival (PFS) (HR 0.988; 95% CI 0.981-0.994, p < 0.001). During the longitudinal evaluation, CD3-CD56+ NK cells (138.1 cells/µL vs. 127 cells/µL, p = 0.025) and CD56bright NK cells (27.4 cells/µL vs. 18.1 cells/µL, p = 0.034) significantly increased in the DC group. Finally, lower values of CD3-CD56+ NK cells (28.3 cells/µL vs. 114.6 cells/µL, p = 0.004) and CD56dim NK cells (13.2 cells/µL vs. 89.4 cells/µL, p < 0.001) were found in sarcopenic patients compared to patients without sarcopenia. CONCLUSIONS Peripheral NK cells could represent a non-invasive and useful tool to predict ICI therapy response in NSCLC patients, and the association of low NK cell levels with sarcopenia deserves even more attention in clinical evaluation.
Collapse
Affiliation(s)
- Marta Tenuta
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Carla Pandozzi
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Francesca Sciarra
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Federica Campolo
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Alain J Gelibter
- Medical Oncology Unit B, Policlinico Umberto I, Sapienza University of Rome, 00185 Rome, Italy
| | - Grazia Sirgiovanni
- Medical and Translational Oncology, Oncology Department, AO Santa Maria, 05100 Terni, Italy
| | - Enrico Cortesi
- Medical Oncology Unit B, Policlinico Umberto I, Sapienza University of Rome, 00185 Rome, Italy
| | - Andrea Lenzi
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Andrea M Isidori
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Emilia Sbardella
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| | - Mary Anna Venneri
- Department of Experimental Medicine, Sapienza University of Rome, Viale Regina Elena 324, 00161 Rome, Italy
| |
Collapse
|
16
|
Jia Y, Guo B, Zhang W, Wang F, Zhang Y, Zhang Q, Li E. Pan-cancer analysis of the prognostic and immunological role of GJB2: a potential target for survival and immunotherapy. Front Oncol 2023; 13:1110207. [PMID: 37427102 PMCID: PMC10327570 DOI: 10.3389/fonc.2023.1110207] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 04/27/2023] [Indexed: 07/11/2023] Open
Abstract
Background GJB2 plays an essential role in the growth and progression of several cancers. However, asystematic pan-cancer analysis of GJB2 is lacking. Therefore, in this study, we performed a comprehensive pan-cancer analysis to determine the potential role of GJB2 in prognostic prediction and cancer immunotherapy response. Methods The differential expression of GJB2 in the tumor and adjacent normal tissues of various cancer types was analyzed using the TIMER, GEPIA, and Sangerbox databases. GEPIA and Kaplan-Meier plotter databases were used to analyze the survival outcomes based on GJB2 expression levels in pan-cancer. Furthermore, the association of GJB2 expression with the immune checkpoint (ICP) genes, tumor mutational load (TMB), microsatellite instability (MSI), neoantigens, and tumor infiltration of immune cells was analyzed using via the Sangerbox database. The cBioPortal database was used to determine the characteristics of GJB2 gene alterations in the cancer tissues. The STRING database was used to identify the GJB2-binding proteins. GEPIA database was used to identify the GJB2 co-expressed genes. DAVID was used to perform the functional enrichment analysis of gene ontology (GO) terms and KEGG pathways associated with GJB2. Finally, the mechanistic role of GJB2 in pancreatic adenocarcinoma (PAAD) was analyzed using the LinkedOmics database. Results The GJB2 gene was highly expressed in a variety of tumors. Furthermore, GJB2 expression levels showed significant positive or negative association with the survival outcomes in various cancers. GJB2 expression levels cor related with tumor mutational burden, microsatellite instability, neoantigens, and tumor infiltration of immune cells in multiple cancers. This suggested that GJB2 played a critical role in the tumor microenvironment. Functional enrichment analysis showed that the biological role of GJB2 in tumors included modulation of gap junction-mediated intercellular transport, regulation of cell communication by electrical coupling, ion transmembrane transport, autocrine signaling, apoptotic signaling pathway, NOD-like receptor signaling pathway, p53 signaling pathway, and PI3K-Akt signaling pathway. Conclusions Our study demonstrated that GJB2 played a significant role in tumorigenesis and tumor immunity in multiple cancers. Furthermore, GJB2 is a potential prognostic biomarker and a promising therapeutic target in multiple types of cancers.
Collapse
|
17
|
Pabst L, Lopes S, Bertrand B, Creusot Q, Kotovskaya M, Pencreach E, Beau-Faller M, Mascaux C. Prognostic and Predictive Biomarkers in the Era of Immunotherapy for Lung Cancer. Int J Mol Sci 2023; 24:ijms24087577. [PMID: 37108738 PMCID: PMC10145126 DOI: 10.3390/ijms24087577] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 04/12/2023] [Accepted: 04/17/2023] [Indexed: 04/29/2023] Open
Abstract
The therapeutic algorithm of lung cancer has recently been revolutionized by the emergence of immune checkpoint inhibitors. However, an objective and durable response rate remains low with those recent therapies and some patients even experience severe adverse events. Prognostic and predictive biomarkers are therefore needed in order to select patients who will respond. Nowadays, the only validated biomarker is the PD-L1 expression, but its predictive value remains imperfect, and it does not offer any certainty of a sustained response to treatment. With recent progresses in molecular biology, genome sequencing techniques, and the understanding of the immune microenvironment of the tumor and its host, new molecular features have been highlighted. There are evidence in favor of the positive predictive value of the tumor mutational burden, as an example. From the expression of molecular interactions within tumor cells to biomarkers circulating in peripheral blood, many markers have been identified as associated with the response to immunotherapy. In this review, we would like to summarize the latest knowledge about predictive and prognostic biomarkers of immune checkpoint inhibitors efficacy in order to go further in the field of precision immuno-oncology.
Collapse
Affiliation(s)
- Lucile Pabst
- Pulmonology Department, University Hospital of Strasbourg, 67000 Strasbourg, France
| | - Sébastien Lopes
- Pharmacy Department, University Hospital of Strasbourg, 67000 Strasbourg, France
| | - Basil Bertrand
- Pulmonology Department, University Hospital of Strasbourg, 67000 Strasbourg, France
- Laboratory Streinth (STress REsponse and INnovative THerapy against Cancer), Inserm UMR_S 1113, IRFAC, Université de Strasbourg, ITI InnoVec, 67000 Strasbourg, France
| | - Quentin Creusot
- Pulmonology Department, University Hospital of Strasbourg, 67000 Strasbourg, France
- Laboratory Streinth (STress REsponse and INnovative THerapy against Cancer), Inserm UMR_S 1113, IRFAC, Université de Strasbourg, ITI InnoVec, 67000 Strasbourg, France
| | - Maria Kotovskaya
- Pulmonology Department, University Hospital of Strasbourg, 67000 Strasbourg, France
- Laboratory Streinth (STress REsponse and INnovative THerapy against Cancer), Inserm UMR_S 1113, IRFAC, Université de Strasbourg, ITI InnoVec, 67000 Strasbourg, France
| | - Erwan Pencreach
- Laboratory Streinth (STress REsponse and INnovative THerapy against Cancer), Inserm UMR_S 1113, IRFAC, Université de Strasbourg, ITI InnoVec, 67000 Strasbourg, France
- Laboratory of Biochemistry and Molecular Biology, University Hospital of Strasbourg, 67000 Strasbourg, France
| | - Michèle Beau-Faller
- Laboratory Streinth (STress REsponse and INnovative THerapy against Cancer), Inserm UMR_S 1113, IRFAC, Université de Strasbourg, ITI InnoVec, 67000 Strasbourg, France
- Laboratory of Biochemistry and Molecular Biology, University Hospital of Strasbourg, 67000 Strasbourg, France
| | - Céline Mascaux
- Pulmonology Department, University Hospital of Strasbourg, 67000 Strasbourg, France
- Laboratory Streinth (STress REsponse and INnovative THerapy against Cancer), Inserm UMR_S 1113, IRFAC, Université de Strasbourg, ITI InnoVec, 67000 Strasbourg, France
| |
Collapse
|
18
|
Shi F, Huang X, Hong Z, Lu N, Huang X, Liu L, Liang T, Bai X. Improvement strategy for immune checkpoint blockade: A focus on the combination with immunogenic cell death inducers. Cancer Lett 2023; 562:216167. [PMID: 37031916 DOI: 10.1016/j.canlet.2023.216167] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/19/2023] [Accepted: 04/03/2023] [Indexed: 04/11/2023]
Abstract
Cancer immunotherapies have yielded promising outcomes in various malignant tumors by blocking specific immune checkpoint molecules, such as programmed cell death 1 and cytotoxic T lymphocyte antigen 4. However, only a few patients respond to immune checkpoint blockade therapy because of the poor immunogenicity of tumor cells and immune-suppressive tumor microenvironment. Accumulating evidence suggests that chemotherapeutic agents, including oxaliplatin and doxorubicin, not only mediate direct cytotoxicity in tumor cells but also induce immunogenic cancer cell death to stimulate a powerful anti-cancer immune response in the tumor microenvironment. In this review, we summarize the recent advances in cancer combination therapy based on immune checkpoint inhibitors plus immunogenic cell death inducers. Despite some clinical failures and challenges, immunogenic cell death inducers have displayed great potential when combined with immune checkpoint inhibitors for anti-cancer treatment in both preclinical studies and clinical trials.
Collapse
Affiliation(s)
- Fukang Shi
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Xing Huang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China; Cancer Center, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
| | - Zhengtao Hong
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Na Lu
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Xin Huang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Lingyue Liu
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Tingbo Liang
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China; Cancer Center, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
| | - Xueli Bai
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, Zhejiang, China; Zhejiang Provincial Key Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China; Cancer Center, Zhejiang University, Hangzhou, 310058, Zhejiang, China.
| |
Collapse
|
19
|
Said SS, Ibrahim WN. Cancer Resistance to Immunotherapy: Comprehensive Insights with Future Perspectives. Pharmaceutics 2023; 15:pharmaceutics15041143. [PMID: 37111629 PMCID: PMC10141036 DOI: 10.3390/pharmaceutics15041143] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/24/2023] [Accepted: 03/31/2023] [Indexed: 04/08/2023] Open
Abstract
Cancer immunotherapy is a type of treatment that harnesses the power of the immune systems of patients to target cancer cells with better precision compared to traditional chemotherapy. Several lines of treatment have been approved by the US Food and Drug Administration (FDA) and have led to remarkable success in the treatment of solid tumors, such as melanoma and small-cell lung cancer. These immunotherapies include checkpoint inhibitors, cytokines, and vaccines, while the chimeric antigen receptor (CAR) T-cell treatment has shown better responses in hematological malignancies. Despite these breakthrough achievements, the response to treatment has been variable among patients, and only a small percentage of cancer patients gained from this treatment, depending on the histological type of tumor and other host factors. Cancer cells develop mechanisms to avoid interacting with immune cells in these circumstances, which has an adverse effect on how effectively they react to therapy. These mechanisms arise either due to intrinsic factors within cancer cells or due other cells within the tumor microenvironment (TME). When this scenario is used in a therapeutic setting, the term “resistance to immunotherapy” is applied; “primary resistance” denotes a failure to respond to treatment from the start, and “secondary resistance” denotes a relapse following the initial response to immunotherapy. Here, we provide a thorough summary of the internal and external mechanisms underlying tumor resistance to immunotherapy. Furthermore, a variety of immunotherapies are briefly discussed, along with recent developments that have been employed to prevent relapses following treatment, with a focus on upcoming initiatives to improve the efficacy of immunotherapy for cancer patients.
Collapse
Affiliation(s)
- Sawsan Sudqi Said
- Department of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha P.O. Box 2713, Qatar
| | - Wisam Nabeel Ibrahim
- Department of Biomedical Sciences, College of Health Sciences, QU Health, Qatar University, Doha P.O. Box 2713, Qatar
| |
Collapse
|
20
|
Yang W, Wei C, Cheng J, Ding R, Li Y, Wang Y, Yang Y, Wang J. BTG2 and SerpinB5, a novel gene pair to evaluate the prognosis of lung adenocarcinoma. Front Immunol 2023; 14:1098700. [PMID: 37006240 PMCID: PMC10064863 DOI: 10.3389/fimmu.2023.1098700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Accepted: 03/07/2023] [Indexed: 03/19/2023] Open
Abstract
IntroductionLung adenocarcinoma (LUAD), as the most frequent pathological subtype of non−small cell lung cancer, is often characterized by poor prognosis and low 5-year survival rate. Exploriton of new biomarkers and accurate molecular mechanisms for effectively predicting the prognosis of LUAD patients is still necessary. Presently, BTG2 and SerpinB5, which play important roles in tumors, are studied as a gene pair for the first time with the aim of exploring whether they can be used as potential prognostic markers.MethodsUsing the bioinformatics method to explore whether BTG2 and SerpinB5 can become independent prognostic factors, and explore their clinical application value and whether they can be used as immunotherapeutic markers. In addition, we also verify the conclusions obtained from external datasets, molecular docking, and SqRT-PCR.ResultsThe results show that compared with normal lung tissue, BTG2 expression level was down-regulated and SerpinB5 was up-regulated in LUAD. Additionally, Kaplan–Meier survival analysis demonstrate that the prognosis of low expression level of BTG2 was poor, and that of high expression level of SerpinB5 was poor, suggesting that both of them can be used as independent prognostic factors. Moreover, the prognosis models of the two genes were constructed respectively in this study, and their prediction effect was verified by external data. Besides, ESTIMATE algorithm reveals the relationship between this gene pair and the immune microenvironment. Furthermore, patients with a high expression level of BTG2 and a low expression level of SerpinB5 have higher immunophenoscore for CTLA-4 and PD-1 inhibitors than patients with a low expression level of BTG2 and a high expression level of SerpinB5, indicating that such patients have a more obvious effect of immunotherapy.DiscussionCollectively, all the results demonstrate that BTG2 and SerpinB5 might serve as potential prognostic biomarkers and novel therapeutic targets for LUAD.
Collapse
Affiliation(s)
- Wanting Yang
- School of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Chunli Wei
- Key Laboratory of Epigenetics and Oncology, the Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, Sichuan, China
| | - Jingliang Cheng
- Key Laboratory of Epigenetics and Oncology, the Research Center for Preclinical Medicine, Southwest Medical University, Luzhou, Sichuan, China
| | - Ran Ding
- School of Medical Informatics Engineering, Anhui University of Chinese Medicine, Hefei, Anhui, China
| | - Yan Li
- Key Laboratory of Industrial Ecology and Environmental Engineering (MOE), Faculty of Chemical, Environmental and Biological Science and Technology, Dalian University of Technology, Dalian, Liaoning, China
| | - Yonghua Wang
- College of Life Sciences, Northwest University, Shaanxi, China
| | - Yinfeng Yang
- School of Medical Informatics Engineering, Anhui University of Chinese Medicine, Hefei, Anhui, China
- *Correspondence: Yinfeng Yang, ; Jinghui Wang,
| | - Jinghui Wang
- School of Integrated Chinese and Western Medicine, Anhui University of Chinese Medicine, Hefei, Anhui, China
- *Correspondence: Yinfeng Yang, ; Jinghui Wang,
| |
Collapse
|
21
|
Zhan D, Zheng N, Zhao B, Cheng F, Tang Q, Liu X, Wang J, Wang Y, Liua H, Li X, Su J, Zhong X, Bu Q, Cheng Y, Wang Y, Qin J. Expanding individualized therapeutic options via genoproteomics. Cancer Lett 2023; 560:216123. [PMID: 36907503 DOI: 10.1016/j.canlet.2023.216123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 03/13/2023]
Abstract
Clinical next-generation sequencing (NGS)2 tests have enabled treatment recommendations for cancer patients with driver gene mutations. Targeted therapy options for patients without driver gene mutations are currently unavailable. Herein, we performed NGS and proteomics tests on 169 formalin-fixed paraffin-embedded (FFPE)3 samples of non-small cell lung cancers (NSCLC, 65),4 colorectal cancers (CRC, 61),5 thyroid carcinomas (THCA, 14),6 gastric cancers (GC, 2),7 gastrointestinal stromal tumors (GIST, 11),8 and malignant melanomas (MM, 6).9 Of the 169 samples, NGS detected 14 actionable mutated genes in 73 samples, providing treatment options for 43% of the patients. Proteomics identified 61 actionable clinical drug targets approved by the FDA or undergoing clinical trials in 122 samples, providing treatment options for 72% of the patients. In vivo experiments demonstrated that the Mitogen-Activated Protein Kinase (MEK)10 inhibitor induced the overexpression of MEK1 (Map2k1) to block lung tumor growth in mice. Therefore, protein overexpression is a potentially feasible indicator for guiding targeted therapies. Collectively, our analysis suggests that combining NGS and proteomics (genoproteomics) could expand the targeted treatment options to 85% of cancer patients.
Collapse
Affiliation(s)
- Dongdong Zhan
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; Beijing Pineal Diagnostics Co., Ltd., Beijing, 102206, China
| | - Nairen Zheng
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Beibei Zhao
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; KingMed College of Laboratory Medical of Guangzhou Medical University, Guangzhou, 510005, China
| | - Fang Cheng
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; Beijing Pineal Diagnostics Co., Ltd., Beijing, 102206, China
| | - Qi Tang
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; KingMed College of Laboratory Medical of Guangzhou Medical University, Guangzhou, 510005, China
| | - Xiangqian Liu
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; KingMed College of Laboratory Medical of Guangzhou Medical University, Guangzhou, 510005, China
| | - Juanfei Wang
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; KingMed College of Laboratory Medical of Guangzhou Medical University, Guangzhou, 510005, China
| | - Yushen Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Haibo Liua
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; Beijing Pineal Diagnostics Co., Ltd., Beijing, 102206, China
| | - Xinliang Li
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; Beijing Pineal Diagnostics Co., Ltd., Beijing, 102206, China
| | - Juming Su
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; KingMed College of Laboratory Medical of Guangzhou Medical University, Guangzhou, 510005, China
| | - Xuejun Zhong
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; KingMed College of Laboratory Medical of Guangzhou Medical University, Guangzhou, 510005, China
| | - Qing Bu
- Department of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Yating Cheng
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; KingMed College of Laboratory Medical of Guangzhou Medical University, Guangzhou, 510005, China.
| | - Yi Wang
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
| | - Jun Qin
- KingMed-Pineal Joint Innovation Laboratory of Clinical Proteomics, Guangzhou KingMed Center for Clinical Laboratory Co., Ltd., Guangzhou, 510009, China; State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China; State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Fudan University, Shanghai, 200433, China.
| |
Collapse
|
22
|
Li W, Jiang Y, Lu J. Nanotechnology-enabled immunogenic cell death for improved cancer immunotherapy. Int J Pharm 2023; 634:122655. [PMID: 36720448 PMCID: PMC9975075 DOI: 10.1016/j.ijpharm.2023.122655] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 01/18/2023] [Accepted: 01/24/2023] [Indexed: 01/31/2023]
Abstract
Tumor immunotherapy has revolutionized the field of oncology treatments in recent years. As one of the promising strategies of cancer immunotherapy, tumor immunogenic cell death (ICD) has shown significant potential for tumor therapy. Nanoparticles are widely used for drug delivery due to their versatile characteristics, such as stability, slow blood elimination, and tumor-targeting ability. To increase the specificity of ICD inducers and improve the efficiency of ICD induction, functionally specific nanoparticles, such as liposomes, nanostructured lipid carriers, micelles, nanodiscs, biomembrane-coated nanoparticles and inorganic nanoparticles have been widely reported as the vehicles to deliver ICD inducers in vivo. In this review, we summarized the strategies of different nanoparticles for ICD-induced cancer immunotherapy, and systematically discussed their advantages and disadvantages as well as provided feasible strategies for solving these problems. We believe that this review will offer some insights into the design of effective nanoparticulate systems for the therapeutic delivery of ICD inducers, thus, promoting the development of ICD-mediated cancer immunotherapy.
Collapse
Affiliation(s)
- Wenpan Li
- Skaggs Pharmaceutical Sciences Center, Department of Pharmacology & Toxicology, R. Ken Coit College of Pharmacy, The University of Arizona, Tucson, AZ 85721, United States
| | - Yanhao Jiang
- Skaggs Pharmaceutical Sciences Center, Department of Pharmacology & Toxicology, R. Ken Coit College of Pharmacy, The University of Arizona, Tucson, AZ 85721, United States
| | - Jianqin Lu
- Skaggs Pharmaceutical Sciences Center, Department of Pharmacology & Toxicology, R. Ken Coit College of Pharmacy, The University of Arizona, Tucson, AZ 85721, United States; NCI-designated University of Arizona Comprehensive Cancer Center, Tucson, AZ 85721, United States; BIO5 Institute, The University of Arizona, Tucson, AZ 85721, United States; Southwest Environmental Health Sciences Center, The University of Arizona, Tucson 85721, United States.
| |
Collapse
|
23
|
Zhang W, Wu C, Zhou K, Cao Y, Zhou W, Zhang X, Deng D. Clinical and immunological characteristics of TGM3 in pan-cancer: A potential prognostic biomarker. Front Genet 2023; 13:993438. [PMID: 36685895 PMCID: PMC9852731 DOI: 10.3389/fgene.2022.993438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 11/22/2022] [Indexed: 01/09/2023] Open
Abstract
Background: Recent studies have identified that transglutaminases (TGMs) are involved in a widespread epigenetic modification in tumorigenesis. However, it remains unclear how transglutaminase 3 (TGM3) affects in pan-cancer. The present study aimed to explore the clinical and prognostic function of TGM3 in pan-cancer as well as to explore the relationship of TGM3 expression with clinical stage, survival rate, prognosis condition, immune infiltration and mutation indicators. Methods: The relevant data of tumors were obtained from The Cancer Genome Atlas (TCGA), TARGET, Cancer Cell Line Encyclopedia (CCLE) and Genotype-Tissue Expression (GTEx) databases. According to the Human Protein Atlas (HPA) and TIMER databases, we evaluated the protein expression levels of TGM3 in different organs and tissues as well as their association with immune cell infiltration and immunotherapeutic response in pan-cancers. Expression differences between normal and tumor tissues as well as survival and prognosis situation, clinical data characteristics, tumor mutational burden (TMB), microsatellite instability (MSI), and RNA methylation were also assessed. Oncogenic analyses were also evaluated by GSEA. Results: Compared to normal tissues, some tumor tissues had a lower expression level of TGM3, while other tumor tissues had a high expression level of TGM3. Further studies showed that high TGM3 expression had a certain risk impact on pan-cancer as high TGM3 expression levels were detrimental to the survival of several cancers, except for pancreatic cancer (PAAD). High expression level of TGM3 was also related to higher clinical stages in most cancers. The expression level of TGM3 was significantly negatively correlated with the expression of immune infiltration-related cells, including B cells, CD8+ T cells, CD4+ T cells, neutrophils, macrophages and dendritic cells (DCs). Furthermore, in most cancer types, TGM3 was inversely correlated with TMB, MSI, and methylation, suggesting that TGM3 expression can be used to assess potential therapeutic response, especially immune-related targeted therapy. GSEA analysis elucidated the biological and molecular function of TGM3 in various cancer types. Taken together, these bioinformatic analyses identified TGM3 as an important biomarker for clinical tumor prognosis and evaluation of treatment efficacy. Conclusion: We comprehensively analyzed the clinical characteristics, tumor stages, immune infiltration, methylation level, gene mutation, functional enrichment analysis and immunotherapeutic value of TGM3 in pan-cancer, providing implications for the function of TGM3 and its role in clinical treatment.
Collapse
Affiliation(s)
- Wenqing Zhang
- Dermatology Center, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Chenglong Wu
- Dermatology Center, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Kaili Zhou
- Dermatology Center, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Yu Cao
- Dermatology Center, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Wange Zhou
- Dermatology Center, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Xue Zhang
- Dermatology Center, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China,*Correspondence: Xue Zhang, ; Dan Deng,
| | - Dan Deng
- Dermatology Center, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Department of Dermatology, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China,Institute of Dermatology, Shanghai Jiaotong University School of Medicine, Shanghai, China,Department of Dermatology, Shanghai Children's Medical Center, Shanghai Jiaotong University School of Medicine, Shanghai, China,*Correspondence: Xue Zhang, ; Dan Deng,
| |
Collapse
|
24
|
Liu C, Yang M, Zhang D, Chen M, Zhu D. Clinical cancer immunotherapy: Current progress and prospects. Front Immunol 2022; 13:961805. [PMID: 36304470 PMCID: PMC9592930 DOI: 10.3389/fimmu.2022.961805] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2022] [Accepted: 09/26/2022] [Indexed: 11/13/2022] Open
Abstract
Immune checkpoint therapy via PD-1 antibodies has shown exciting clinical value and robust therapeutic potential in clinical practice. It can significantly improve progression-free survival and overall survival. Following surgery, radiotherapy, chemotherapy, and targeted therapy, cancer treatment has now entered the age of immunotherapy. Although cancer immunotherapy has shown remarkable efficacy, it also suffers from limitations such as irAEs, cytokine storm, low response rate, etc. In this review, we discuss the basic classification, research progress, and limitations of cancer immunotherapy. Besides, by combining cancer immunotherapy resistance mechanism with analysis of combination therapy, we give our insights into the development of new anticancer immunotherapy strategies.
Collapse
Affiliation(s)
- Chenglong Liu
- Minhang Hospital and Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai, China
| | - Mengxuan Yang
- Minhang Hospital and Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai, China
| | - Daizhou Zhang
- New Drug Evaluation Center, Shandong Academy of Pharmaceutical Science, Jinan, China
| | - Ming Chen
- Department of Laboratory Medicine, Sixth Affiliated Hospital of Yangzhou University, Yangzhou, China
- Department of Laboratory Medicine, Affiliated Taixing Hospital of Bengbu Medical College, Taizhou, China
| | - Di Zhu
- Minhang Hospital and Department of Pharmacology, School of Pharmacy, Fudan University, Shanghai, China
- New Drug Evaluation Center, Shandong Academy of Pharmaceutical Science, Jinan, China
- Shanghai Engineering Research Center of ImmunoTherapeutics, Fudan University, Shanghai, China
| |
Collapse
|
25
|
Song D, Zhou Z, Wu J, Wei T, Zhao G, Ren H, Zhang B. DNA methylation regulators-related molecular patterns and tumor immune landscape in hepatocellular carcinoma. Front Oncol 2022; 12:877817. [PMID: 36091162 PMCID: PMC9459088 DOI: 10.3389/fonc.2022.877817] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Accepted: 07/18/2022] [Indexed: 12/02/2022] Open
Abstract
Increasing evidence showed that the dysregulation of DNA methylation regulators is a decisive feature of almost all cancer types and affects tumor progressions. However, few studies focused on the underlying influences of DNA methylation regulators-related genes (DMRegs) in immune cell-infiltration characteristics, tumor microenvironment (TME) and immunotherapy in HCC patients. In our study, the alterations of DNA methylation regulators modification patterns (DMRPs) were clustered from hepatocellular carcinoma (HCC) samples based on the expression of DNA methylation regulators as well as genetic and transcriptional features. In addition, based on molecular identification of three distinct molecular subtypes, we found that different DMRPs alterations were related to different clinicopathological characteristics, prognosis, and immune cells infiltration features. Moreover, we constructed and validated a DNA methylation regulators-related genes score (DMRegs_score) to predict the survival of HCC patients. A high DMRegs _score, which was characterized by more TP53 wild mutation, high expression of PD-1, CTLA-4, and remarkable immunity activation, was indicative of poor prognosis. Furthermore, we validated the expression of eight genes which were used for the prognostic signature in this risk score by RT-qPCR using tissues from our center. More importantly, DMRegs_score was highly correlated with targeted drug sensitivity. Additionally, we developed a highly accurate scoring system that could be used to improve the clinical applicability of DMRegs _score. In conclusion, these findings may contribute to a better understanding of DNA methylation regulators and provide new strategies for evaluating prognosis and developing more effective combination therapy for HCC patients.
Collapse
Affiliation(s)
- Dingli Song
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Zhenyu Zhou
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jie Wu
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Tao Wei
- Department of Hepatobiliary and Pancreatic Surgery, School of Medicine, The First Affiliated Hospital of Zhejiang University, Hangzhou, China
| | - Guang Zhao
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
| | - Hong Ren
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Hong Ren, ; Boxiang Zhang,
| | - Boxiang Zhang
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China
- *Correspondence: Hong Ren, ; Boxiang Zhang,
| |
Collapse
|
26
|
Zhou X, Yao L, Zhou X, Cong R, Luan J, Wei X, Zhang X, Song N. Pyroptosis-Related lncRNA Prognostic Model for Renal Cancer Contributes to Immunodiagnosis and Immunotherapy. Front Oncol 2022; 12:837155. [PMID: 35860590 PMCID: PMC9291251 DOI: 10.3389/fonc.2022.837155] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 06/06/2022] [Indexed: 12/25/2022] Open
Abstract
BackgroundRenal clear cell cancer (ccRCC) is one of the most common cancers in humans. Thus, we aimed to construct a risk model to predict the prognosis of ccRCC effectively.MethodsWe downloaded RNA sequencing (RNA-seq) data and clinical information of 539 kidney renal clear cell carcinoma (KIRC) patients and 72 normal humans from The Cancer Genome Atlas (TCGA) database and divided the data into training and testing groups randomly. Pyroptosis-related lncRNAs (PRLs) were obtained through Pearson correlation between pyroptosis genes and all lncRNAs (p < 0.05, coeff > 0.3). Univariate and multivariate Cox regression analyses were then performed to select suitable lncRNAs. Next, a novel signature was constructed and evaluated by survival analysis and ROC analysis. The same observation applies to the testing group to validate the value of the signature. By gene set enrichment analysis (GSEA), we predicted the underlying signaling pathway. Furthermore, we calculated immune cell infiltration, immune checkpoint, the T-cell receptor/B-cell receptor (TCR/BCR), SNV, and Tumor Immune Dysfunction and Exclusion (TIDE) scores in TCGA database. We also validated our model with an immunotherapy cohort. Finally, the expression of PRLs was validated by quantitative PCR (qPCR).ResultsWe constructed a prognostic signature composed of six key lncRNAs (U62317.1, MIR193BHG, LINC02027, AC121338.2, AC005785.1, AC156455.1), which significantly predict different overall survival (OS) rates. The efficiency was demonstrated using the receiver operating characteristic (ROC) curve. The signature was observed to be an independent prognostic factor in cohorts. In addition, we found the PRLs promote the tumor progression via immune-related pathways revealed in GSEA. Furthermore, the TCR, BCR, and SNV data were retrieved to screen immune features, and immune cell scores were calculated to measure the effect of the immune microenvironment on the risk model, indicating that high- and low-risk scores have different immune statuses. The TIDE algorithm was then used to predict the immune checkpoint blockade (ICB) response of our model, and subclass mapping was used to verify our model in another immunotherapy cohort data. Finally, qPCR validates the PRLs in cell lines.ConclusionThis study provided a new risk model to evaluate ccRCC and may be pyroptosis-related therapeutic targets in the clinic.
Collapse
Affiliation(s)
- Xuan Zhou
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Liangyu Yao
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiang Zhou
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Rong Cong
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jiaochen Luan
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xiyi Wei
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xu Zhang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ninghong Song
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- *Correspondence: Ninghong Song,
| |
Collapse
|
27
|
Song D, Zhou Z, Zhang D, Wu J, Hao Q, Zhao L, Ren H, Zhang B. Identification of an Endoplasmic Reticulum Stress-Related Gene Signature to Evaluate the Immune Status and Predict the Prognosis of Hepatocellular Carcinoma. Front Genet 2022; 13:850200. [PMID: 35711939 PMCID: PMC9197218 DOI: 10.3389/fgene.2022.850200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 04/15/2022] [Indexed: 12/21/2022] Open
Abstract
Liver cancer is the sixth most frequently diagnosed primary malignancy and ranks as the third leading cause of cancer-related death worldwide in 2020. ER stress also plays a vital role in the pathogenesis of malignancies. In the current study, we aimed to construct an endoplasmic reticulum stress-related genes (ERGs) signature to predict the overall survival (OS) of patients with HCC. Differentially expressed ERGs (DE-ERGs) were analyzed using The Cancer Genome Atlas (TCGA-LIHC cohort) and International Cancer Genome Consortium (ICGC-LIRI-JP cohort) databases. The prognostic gene signature was identified by the univariate Cox regression and Least Absolute Shrinkage and Selection Operator (LASSO)-penalized Cox proportional hazards regression analysis. The predictive ability of the model was evaluated by utilizing Kaplan-Meier curves and time-dependent receiver operating characteristic (ROC) curves. Gene set variant analysis (GSVA) was performed to explore the underlying biological processes and signaling pathways. CIBERPORT and single-sample Gene Set Enrichment Analysis (ssGSEA) were implemented to estimate the immune status between the different risk groups. A total of 113 DE-ERGs were identified between 50 normal samples and 365 HCC samples in the TCGA-LIHC cohort, and 48 DE-ERGs were associated with OS through the univariate Cox regression. A six DE-ERGs (PPARGC1A, SQSTM1, SGK1, PON1, CDK1, and G6PD) signature was constructed and classified patients into high-risk and low-risk groups. The risk score was an independent prognostic indicator for OS (HR > 1, p < 0.001). The function enrichment analysis indicated that cell cycle, RNA degradation, protein localization, and cell division were the main biological processes. The high-risk group had higher immune cell infiltration levels than those of the low-risk group. We predicted the response to targeted therapy in high- and low-risk patients with HCC and found that the high-risk patients were more sensitive to pazopanib. At last, we verified the expression of the six gene patterns in HCC tissues by qRT-PCR and immunohistochemistry. This signature may be a potential tool to provide a choice for prognosis prediction and personal management of patients with HCC.
Collapse
Affiliation(s)
- Dingli Song
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Zhenyu Zhou
- Department of Hepatobiliary Surgery, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Dai Zhang
- Department of Thyroid, Breast and Vascular Surgery, Xijing Hospital, the Air Force Medical University, Xi'an, China
| | - Jie Wu
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Qian Hao
- Department of Oncology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Lili Zhao
- Department of Neurology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Hong Ren
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Boxiang Zhang
- Department of Thoracic Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| |
Collapse
|
28
|
Yadav D, Kwak M, Chauhan PS, Puranik N, Lee PCW, Jin JO. Cancer immunotherapy by immune checkpoint blockade and its advanced application using bio-nanomaterials. Semin Cancer Biol 2022; 86:909-922. [PMID: 35181474 DOI: 10.1016/j.semcancer.2022.02.016] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 02/09/2022] [Accepted: 02/13/2022] [Indexed: 02/07/2023]
Abstract
Cancer is the second leading cause of death worldwide. Traditional approaches, such as surgery, chemotherapy, and radiotherapy have been the main cancer therapeutic modalities in recent years. Cancer immunotherapy is a novel therapeutic modality that potentiates the immune responses of patients against malignancy. Immune checkpoint proteins expressed on T cells or tumor cells serve as a target for inhibiting T cell overactivation, maintaining the balance between self-reactivity and autoimmunity. Tumors essentially hijack the immune checkpoint pathway in order to survive and spread. Immune checkpoint inhibitors (ICIs) are being developed as a result to reactivate the anti-tumor immune response. Recent advances in nanotechnology have contributed to the development of successful, safe, and efficient anticancer drug systems based on nanoparticles. Nanoparticle-based cancer immunotherapy overcomes numerous challenges and offers novel strategies for improving conventional immunotherapies. The fundamental and physiochemical properties of nanoparticles depend on various cancer therapeutic strategies, such as chemotherapeutics, nucleic acid-based treatments, photothermal therapy, and photodynamic agents. The review discusses the use of nanoparticles as carriers for delivering immune checkpoint inhibitors and their efficacy in cancer combination therapy.
Collapse
Affiliation(s)
- Dhananjay Yadav
- Department of Medical Biotechnology, Yeungnam University, Gyeongsan, 38541, South Korea; Research Institute of Cell Culture, Yeungnam University, Gyeongsan, 38541, South Korea
| | - Minseok Kwak
- Department of Chemistry and Industry 4.0 Convergence Bionics Engineering, Pukyong National University, Busan, South Korea
| | | | - Nidhi Puranik
- Biological Sciences Department, Bharathiar University, Coimbatore, 641046, Tamil Nadu, India
| | - Peter C W Lee
- Department of Biomedical Sciences, University of Ulsan College of Medicine, ASAN Medical Center, Seoul, South Korea.
| | - Jun-O Jin
- Department of Medical Biotechnology, Yeungnam University, Gyeongsan, 38541, South Korea; Research Institute of Cell Culture, Yeungnam University, Gyeongsan, 38541, South Korea.
| |
Collapse
|
29
|
Khachigian LM. Emerging insights on functions of the anthelmintic flubendazole as a repurposed anticancer agent. Cancer Lett 2021; 522:57-62. [PMID: 34520820 DOI: 10.1016/j.canlet.2021.09.013] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Revised: 08/26/2021] [Accepted: 09/09/2021] [Indexed: 01/03/2023]
Abstract
While flubendazole has been used as a macrofilaricide in humans and animals for some 40 years, work in vitro and in preclinical models over the last decade has suggested its potential use as an anticancer agent. This article reviews recent studies in a range of tumor types indicating novel functions for flubendazole in its control of processes associated with tumor growth, spread and renewal including ferroptosis, autophagy, cancer stem-like cell killing and suppression of intratumoral myeloid-derived suppressor cell accumulation and programmed cell death protein 1. Flubendazole's potential use in clinical oncology will require further understanding of its mechanistic roles, range of inhibition of cancer types, capacity for adjunctive therapy and possible reformulation for enhanced solubility, bioavailability and potency.
Collapse
Affiliation(s)
- Levon M Khachigian
- Vascular Biology and Translational Research, School of Medical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, Australia.
| |
Collapse
|
30
|
Moos WH, Faller DV, Glavas IP, Harpp DN, Kamperi N, Kanara I, Kodukula K, Mavrakis AN, Pernokas J, Pernokas M, Pinkert CA, Powers WR, Steliou K, Tamvakopoulos C, Vavvas DG, Zamboni RJ, Sampani K. Pathogenic mitochondrial dysfunction and metabolic abnormalities. Biochem Pharmacol 2021; 193:114809. [PMID: 34673016 DOI: 10.1016/j.bcp.2021.114809] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 10/10/2021] [Accepted: 10/12/2021] [Indexed: 02/07/2023]
Abstract
Herein we trace links between biochemical pathways, pathogenesis, and metabolic diseases to set the stage for new therapeutic advances. Cellular and acellular microorganisms including bacteria and viruses are primary pathogenic drivers that cause disease. Missing from this statement are subcellular compartments, importantly mitochondria, which can be pathogenic by themselves, also serving as key metabolic disease intermediaries. The breakdown of food molecules provides chemical energy to power cellular processes, with mitochondria as powerhouses and ATP as the principal energy carrying molecule. Most animal cell ATP is produced by mitochondrial synthase; its central role in metabolism has been known for >80 years. Metabolic disorders involving many organ systems are prevalent in all age groups. Progressive pathogenic mitochondrial dysfunction is a hallmark of genetic mitochondrial diseases, the most common phenotypic expression of inherited metabolic disorders. Confluent genetic, metabolic, and mitochondrial axes surface in diabetes, heart failure, neurodegenerative disease, and even in the ongoing coronavirus pandemic.
Collapse
Affiliation(s)
- Walter H Moos
- Department of Pharmaceutical Chemistry, School of Pharmacy, University of California San Francisco, San Francisco, CA, USA.
| | - Douglas V Faller
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA; Cancer Research Center, Boston University School of Medicine, Boston, MA, USA
| | - Ioannis P Glavas
- Department of Ophthalmology, New York University School of Medicine, New York, NY, USA
| | - David N Harpp
- Department of Chemistry, McGill University, Montreal, QC, Canada
| | - Natalia Kamperi
- Center for Clinical, Experimental Surgery and Translational Research Pharmacology-Pharmacotechnology, Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | | | | | - Anastasios N Mavrakis
- Department of Medicine, Tufts University School of Medicine, St. Elizabeth's Medical Center, Boston, MA, USA
| | - Julie Pernokas
- Advanced Dental Associates of New England, Woburn, MA, USA
| | - Mark Pernokas
- Advanced Dental Associates of New England, Woburn, MA, USA
| | - Carl A Pinkert
- Department of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, USA
| | - Whitney R Powers
- Department of Health Sciences, Boston University, Boston, MA, USA; Department of Anatomy, Boston University School of Medicine, Boston, MA, USA
| | - Kosta Steliou
- Cancer Research Center, Boston University School of Medicine, Boston, MA, USA; PhenoMatriX, Inc., Natick, MA, USA
| | - Constantin Tamvakopoulos
- Center for Clinical, Experimental Surgery and Translational Research Pharmacology-Pharmacotechnology, Biomedical Research Foundation, Academy of Athens, Athens, Greece
| | - Demetrios G Vavvas
- Department of Ophthalmology, Harvard Medical School, Boston, MA, USA; Retina Service, Angiogenesis Laboratory, Massachusetts Eye and Ear Infirmary, Boston, MA, USA
| | - Robert J Zamboni
- Department of Chemistry, McGill University, Montreal, QC, Canada
| | - Konstantina Sampani
- Beetham Eye Institute, Joslin Diabetes Center, Boston, MA, USA; Department of Medicine, Harvard Medical School, Boston, MA, USA.
| |
Collapse
|
31
|
Yang Y, Yang Y, Chen M, Chen J, Wang J, Ma Y, Qian H. Injectable shear-thinning polylysine hydrogels for localized immunotherapy of gastric cancer through repolarization of tumor-associated macrophages. Biomater Sci 2021; 9:6597-6608. [PMID: 34582523 DOI: 10.1039/d1bm01053k] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Immunotherapy has emerged as one of the most promising treatments for cancer in recent years. However, it works only for a small proportion of patients, which can in part be attributed to the immunosuppressive tumor microenvironment (TME). Tumor associated macrophages (TAMs) are the critical components of tumors and play an important role in the development of the immunosuppressive TME. The transition of TAMs from the pro-tumor (M2) phenotype to anti-tumor (M1) phenotype is crucial for the immunotherapy of gastric cancer. Herein, we developed a shear-thinning, injectable hydrogel co-loaded with polyphyllin II (PP2) and resiquimod (R848) (PR-Gel) for potentiating localized immunotherapy of gastric cancer through the repolarization of TAMs. In this work, we evaluate the effects of PR-Gel on TAM repolarization and explored its therapeutic effect for localized immunotherapy. The hydrogels were synthesized through the Schiff base reactions between aldehyde-functionalized polyethylene glycol and the amino group of polylysine. A M2-to-M1 repolarization of TAMs and increased production of TNF-α and IL-6 were observed after treatment with PR-Gel in vitro. The anti-tumor efficacy of PR-Gel in a subcutaneous xenograft model of gastric cancer showed that the hydrogels possess good tumor growth suppression properties after a single injection. Furthermore, an increased iNOS/CD206 ratio in TAMs and enhanced CD8+ T cell infiltration were also observed within the TME after the treatment with PR-Gel. Hence, the biocompatible, shear-thinning, injectable hydrogels are a promising noninvasive drug-delivery platform for the regulation of the immunosuppressive TME and have great potential in localized immunotherapy against gastric cancer.
Collapse
Affiliation(s)
- Yan Yang
- Department of Oncology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing 211100, Jiangsu, China.
| | - Yang Yang
- The Comprehensive Cancer Center of Drum Tower Hospital, Medical School of Nanjing University and Clinical Cancer Institute of Nanjing University, Nanjing 210008, Jiangsu, China
| | - Meili Chen
- Department of Oncology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing 211100, Jiangsu, China.
| | - Jianquan Chen
- Central Laboratory, Translational Medicine Research Center, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing 211100, Jiangsu, China.
| | - Jinyan Wang
- Department of Oncology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing 211100, Jiangsu, China.
| | - Yajun Ma
- Department of Oncology, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing 211100, Jiangsu, China.
| | - Hanqing Qian
- Central Laboratory, Translational Medicine Research Center, The Affiliated Jiangning Hospital with Nanjing Medical University, Nanjing 211100, Jiangsu, China.
| |
Collapse
|
32
|
Ma YS, Hou LK, Yao SH, Liu JB, Yu XC, Shi Y, Yang XL, Wu W, Wu CY, Jiang GX, Fu D. Elevated Stratifin promotes cisplatin-based chemotherapy failure and poor prognosis in non-small cell lung cancer. MOLECULAR THERAPY-ONCOLYTICS 2021; 22:326-335. [PMID: 34553022 PMCID: PMC8426184 DOI: 10.1016/j.omto.2021.07.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/08/2021] [Accepted: 07/14/2021] [Indexed: 01/15/2023]
Abstract
Drug resistance is a key factor in the treatment failure of clinical non-small cell lung cancer (NSCLC) patients after adjuvant chemotherapy. Here, our results provide the first evidence that eukaryotic translation initiation factor 2b subunit delta (EIF2B4)-Stratifin (SFN) fusion and increased SFN expression are associated with chemotherapy tolerance and activation of the phosphatidylinositol 3 kinase/v-akt murine thymoma viral oncogene (PI3K/Akt) signaling pathway in NSCLC patients, suggesting that SFN might have potential prognostic value as a tumor biomarker for the prognosis of patients with NSCLC.
Collapse
Affiliation(s)
- Yu-Shui Ma
- Department of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China.,Cancer Institute, Affiliated Tumor Hospital of Nantong University, Nantong 226631, China
| | - Li-Kun Hou
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Shi-Hua Yao
- Department of Thoracic Surgery, Navy Military Medical University Affiliated Changhai Hospital, Shanghai 200433, China
| | - Ji-Bin Liu
- Cancer Institute, Affiliated Tumor Hospital of Nantong University, Nantong 226631, China
| | - Xue-Chen Yu
- Department of Mathematics, Statistics, and Computer Science, Macalester College, Saint Paul, MN 55105, USA
| | - Yi Shi
- Department of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Xiao-Li Yang
- Department of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| | - Wei Wu
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Chun-Yan Wu
- Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China
| | - Geng-Xi Jiang
- Department of Thoracic Surgery, Navy Military Medical University Affiliated Changhai Hospital, Shanghai 200433, China
| | - Da Fu
- Department of Nuclear Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, China
| |
Collapse
|