1
|
Cao H, Lan T, Kuang S, Wang L, Li J, Li Q, Li Y, Xu Q, Chen Q, Ren S, Lan C, Ouyang N, Liao J, Huang Y, Li J. FAT1 as a tumor mutation burden specific gene affects the immunotherapy effect in head and neck squamous cell cancer. Drug Resist Updat 2024; 76:101095. [PMID: 38986165 DOI: 10.1016/j.drup.2024.101095] [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: 12/10/2023] [Revised: 05/14/2024] [Accepted: 05/16/2024] [Indexed: 07/12/2024]
Abstract
BACKGROUND Response to immunotherapy is the main challenge of head and neck squamous cancer (HNSCC) treatment. Previous studies have indicated that tumor mutational burden (TMB) is associated with prognosis, but it is not always a precise index. Hence, investigating specific genetic mutations and tumor microenvironment (TME) changes in TMB-high patients is essential for precision therapy of HNSCC. METHODS A total of 33 HNSCC patients were enrolled in this study. We calculated the TMB score based on next-generation sequencing (NGS) sequencing and grouped these patients based on TMB score. Then, we examined the immune microenvironment of HNSCC using assessments of the bulk transcriptome and the single-cell RNA sequence (scRNA-seq) focusing on the molecular nature of TMB and mutations in HNSCC from our cohort. The association of the mutation pattern and TMB was analyzed in The Cancer Genome Atlas (TCGA) and validated by our cohort. RESULTS 33 HNSCC patients were divided into three groups (TMB-low, -medium, and -high) based on TMB score. In the result of 520-gene panel sequencing data, we found that FAT1 and LRP1B mutations were highly prevalent in TMB-high patients. FAT1 mutations are associated with resistance to immunotherapy in HNSCC patients. This involves many metabolism-related pathways like RERE, AIRE, HOMER1, etc. In the scRNA-seq data, regulatory T cells (Tregs), monocytes, and DCs were found mainly enriched in TMB-high samples. CONCLUSION Our analysis unraveled the FAT1 gene as an assistant predictor when we use TMB as a biomarker of drug resistance in HNSCC. Tregs, monocytes, and dendritic cells (DCs) were found mainly enriched in TMB-high samples.
Collapse
Affiliation(s)
- Haotian Cao
- Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510010, China.
| | - Tianjun Lan
- Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510010, China
| | - Shijia Kuang
- Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510010, China
| | - Liansheng Wang
- Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510010, China
| | - Jintao Li
- Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510010, China
| | - Qunxin Li
- Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510010, China
| | - Yanyan Li
- Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510010, China
| | - Qiuping Xu
- Medical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Qian Chen
- Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510120, China
| | - Shuwei Ren
- Department of Clinical Laboratory, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China
| | - Chunhong Lan
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou 510515, China
| | - Nengtai Ouyang
- Cellular & Molecular Diagnostics Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China
| | - Jianwei Liao
- Cellular & Molecular Diagnostics Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
| | - Yongsheng Huang
- Cellular & Molecular Diagnostics Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510120, China.
| | - Jinsong Li
- Department of Oral and Maxillofacial Surgery, Sun Yat-sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510010, China.
| |
Collapse
|
2
|
Javaid S, Wang D, Kelly BJ, Kalim S, Yanich J, Kalmar JR, Mallery SR. Salivary gland carcinosarcoma ex pleomorphic adenoma: a case report with molecular characterization. Oral Surg Oral Med Oral Pathol Oral Radiol 2024; 138:301-305. [PMID: 38760285 DOI: 10.1016/j.oooo.2024.02.030] [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: 10/04/2023] [Revised: 01/13/2024] [Accepted: 02/20/2024] [Indexed: 05/19/2024]
Abstract
True malignant mixed tumors, also known as salivary gland carcinosarcoma (SCS), are uncommon yet highly aggressive lesions associated with a poor prognosis. These tumors exhibit a distinctive biphasic structure characterized by both epithelial and mesenchymal components. Recent research has shown that the majority of SCS cases stem from pre-existing pleomorphic adenomas (PAs), suggesting a stepwise developmental pattern. In this report, we present a case of a 73-year-old female with SCS and describe the clinical, radiographic, and pathologic observations. Notably, the SCS was associated with a residual PA. The SCS displayed a CTNNB1::PLAG1 gene rearrangement, providing a molecular basis for its origin from the PA. Further DNA genomic analysis exposed mutations in BAP1, PER1, and LRPB1. Our findings provide support to the theory that SCS emerges from a pre-existing PA while highlighting the multiple genetic changes that could contribute to malignant transformation.
Collapse
Affiliation(s)
- Sehrish Javaid
- Woody L. Hunt School of Dental Medicine, Texas Tech University Health Science Center El Paso, El Paso, TX, USA.
| | - Daren Wang
- Division of Oral Maxillofacial Pathology, College of Dentistry, The Ohio State University, Columbus, OH, USA
| | - Benjamin J Kelly
- The Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, USA
| | - Sonya Kalim
- Workman School of Dental Medicine, High Point University, NC, USA
| | - Jason Yanich
- Yanich Oral Surgery and Dental Implants, Marion, OH, USA
| | - John R Kalmar
- Division of Oral Maxillofacial Pathology, College of Dentistry, The Ohio State University, Columbus, OH, USA
| | - Susan R Mallery
- Division of Oral Maxillofacial Pathology, College of Dentistry, The Ohio State University, Columbus, OH, USA; Yanich Oral Surgery and Dental Implants, Marion, OH, USA; The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| |
Collapse
|
3
|
Kolb S, Hoffmann I, Monjé N, Dragomir MP, Jank P, Bischoff P, Keunecke C, Pohl J, Kunze CA, Marchenko S, Schmitt WD, Kulbe H, Sers C, Sehouli J, Braicu EI, Denkert C, Darb-Esfahani S, Horst D, Sinn BV, Taube ET. LRP1B-a prognostic marker in tubo-ovarian high-grade serous carcinoma. Hum Pathol 2023; 141:158-168. [PMID: 37742945 DOI: 10.1016/j.humpath.2023.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 09/26/2023]
Abstract
Low-density lipoprotein (LDL) receptor-related protein 1B (LRP1B) is a member of the LDL receptor family and has often been discussed as a tumor suppressor gene, as its down-regulation is correlated with a poor prognosis in multiple carcinoma entities. Due to the high metastasis rate into the fatty peritoneal cavity and current research findings showing a dysregulation of lipid metabolism in tubo-ovarian high-grade serous carcinoma (HGSC), we questioned the prognostic impact of the LRP1B protein expression. We examined a well-characterized large cohort of 571 patients with primary HGSC and analyzed the LRP1B protein expression via immunohistochemical staining (both in tumor and stroma cells separately), performed precise bioimage analysis with QuPath, and calculated the prognostic impact using SPSS. Our results demonstrate that LRP1B functions as a significant prognostic marker for overall survival (OS) and progression-free survival (PFS) in HGSC on the protein level. High cytoplasmic expression of LRP1B in tumor, stroma, and combined tumor and stroma cells has a significantly positive association with a mean prolongation of the OS by 42 months (P = .005), 29 months (P = .005), and 25 months (P = .001), respectively. Additionally, the mean PFS was 18 months longer in tumor (P = .002), 19 months in stroma (P = .004), and 19 months in both cell types combined (P = .01). Our results remained significant in multivariate analysis. We envision LRP1B as a potential prognostic tool that could help us understand the functional role of lipid metabolism in advanced HGSC, especially regarding liposomal medications.
Collapse
Affiliation(s)
- Svenja Kolb
- Department of Gynecology, Vivantes Netzwerk für Gesundheit GmbH Berlin, Vivantes Hospital Neukölln, 12351, Berlin, Germany
| | - Inga Hoffmann
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117, Berlin, Germany
| | - Nanna Monjé
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117, Berlin, Germany
| | - Mihnea P Dragomir
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117, Berlin, Germany; Berlin Institute of Health at Charité - Universitätsmedizin Berlin, 10117, Berlin, Germany; German Cancer Consortium (DKTK), Partner Site Berlin, and German Cancer Research Center (DKFZ), 69120, Heidelberg, Germany
| | - Paul Jank
- Institute of Pathology, Philipps-University Marburg and University Hospital Marburg, 35043 Marburg, Germany
| | - Philip Bischoff
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117, Berlin, Germany
| | - Carlotta Keunecke
- Department of Gynecology, European Competence Center for Ovarian Cancer, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Jonathan Pohl
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117, Berlin, Germany
| | - Catarina Alisa Kunze
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117, Berlin, Germany
| | - Sofya Marchenko
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117, Berlin, Germany
| | - Wolfgang D Schmitt
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117, Berlin, Germany
| | - Hagen Kulbe
- Department of Gynecology, European Competence Center for Ovarian Cancer, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany; Tumorbank Ovarian Cancer Network, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Christine Sers
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117, Berlin, Germany
| | - Jalid Sehouli
- Department of Gynecology, European Competence Center for Ovarian Cancer, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany; Tumorbank Ovarian Cancer Network, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Elena Ioana Braicu
- Department of Gynecology, European Competence Center for Ovarian Cancer, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany; Tumorbank Ovarian Cancer Network, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany
| | - Carsten Denkert
- Institute of Pathology, Philipps-University Marburg and University Hospital Marburg, 35043 Marburg, Germany
| | - Silvia Darb-Esfahani
- MVZ Pathologie Spandau, 13589 Berlin, Spandau, Germany; MVZ Pathologie Berlin-Buch, 13125 Berlin, Germany
| | - David Horst
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117, Berlin, Germany
| | - Bruno V Sinn
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117, Berlin, Germany
| | - Eliane T Taube
- Institute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, 10117, Berlin, Germany.
| |
Collapse
|
4
|
Methods in Medicine CAM. Retracted: Correlation between LRP1B Mutations and Tumor Mutation Burden in Gastric Cancer. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2023; 2023:9835849. [PMID: 37811213 PMCID: PMC10551383 DOI: 10.1155/2023/9835849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Accepted: 09/26/2023] [Indexed: 10/10/2023]
Abstract
[This retracts the article DOI: 10.1155/2021/1522250.].
Collapse
|
5
|
Peixoto J, Príncipe C, Pestana A, Osório H, Pinto MT, Prazeres H, Soares P, Lima RT. Using a Dual CRISPR/Cas9 Approach to Gain Insight into the Role of LRP1B in Glioblastoma. Int J Mol Sci 2023; 24:11285. [PMID: 37511044 PMCID: PMC10379115 DOI: 10.3390/ijms241411285] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2023] [Revised: 06/27/2023] [Accepted: 07/04/2023] [Indexed: 07/30/2023] Open
Abstract
LRP1B remains one of the most altered genes in cancer, although its relevance in cancer biology is still unclear. Recent advances in gene editing techniques, particularly CRISPR/Cas9 systems, offer new opportunities to evaluate the function of large genes, such as LRP1B. Using a dual sgRNA CRISPR/Cas9 gene editing approach, this study aimed to assess the impact of disrupting LRP1B in glioblastoma cell biology. Four sgRNAs were designed for the dual targeting of two LRP1B exons (1 and 85). The U87 glioblastoma (GB) cell line was transfected with CRISPR/Cas9 PX459 vectors. To assess LRP1B-gene-induced alterations and expression, PCR, Sanger DNA sequencing, and qRT-PCR were carried out. Three clones (clones B9, E6, and H7) were further evaluated. All clones presented altered cellular morphology, increased cellular and nuclear size, and changes in ploidy. Two clones (E6 and H7) showed a significant decrease in cell growth, both in vitro and in the in vivo CAM assay. Proteomic analysis of the clones' secretome identified differentially expressed proteins that had not been previously associated with LRP1B alterations. This study demonstrates that the dual sgRNA CRISPR/Cas9 strategy can effectively edit LRP1B in GB cells, providing new insights into the impact of LRP1B deletions in GBM biology.
Collapse
Grants
- PTDC/MEC-ONC/31520/2017 FEEI, FEDER through COMPETE 2020 -POCI, Portugal 2020, and by Portuguese funds through FCT/Ministério da Ciência, Tecnologia e Ensino Superior
- POCI-01-0145-FEDER-028779 (PTDC/BIA-MIC/28779/2017) FEEI, FEDER through COMPETE 2020 -POCI, Portugal 2020, and by Portuguese funds through FCT/Ministério da Ciência, Tecnologia e Ensino Superior
- project "Institute for Research and Innovation in Health Sciences" (UID/BIM/04293/2019) FEEI, FEDER through COMPETE 2020 -POCI, Portugal 2020, and by Portuguese funds through FCT/Ministério da Ciência, Tecnologia e Ensino Superior
- "Cancer Research on Therapy Resistance: From Basic Mechanisms to Novel Targets"-NORTE-01-0145-FEDER-000051 Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF
- The Porto Comprehensive Cancer Center" with the reference NORTE-01-0145-FEDER-072678 - Consórcio PORTO.CCC - Porto.Comprehensive Cancer Center Raquel Seruca European Regional Development Fund
- ROTEIRO/0028/2013; LISBOA-01-0145-FEDER-022125 Portuguese Mass Spectrometry Network, integrated in the National Roadmap of Research Infra-structures of Strategic Relevance
Collapse
Affiliation(s)
- Joana Peixoto
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- Cancer Signaling and Metabolism Group, IPATIMUP-Institute of Molecular Pathology and Immunology of the University of Porto, Rua Alfredo Allen 208, 4169-007 Porto, Portugal
| | - Catarina Príncipe
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- Cancer Signaling and Metabolism Group, IPATIMUP-Institute of Molecular Pathology and Immunology of the University of Porto, Rua Alfredo Allen 208, 4169-007 Porto, Portugal
- Faculty of Sciences, University of Porto, 4169-007 Porto, Portugal
| | - Ana Pestana
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- Cancer Signaling and Metabolism Group, IPATIMUP-Institute of Molecular Pathology and Immunology of the University of Porto, Rua Alfredo Allen 208, 4169-007 Porto, Portugal
| | - Hugo Osório
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- IPATIMUP-Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
- FMUP-Department of Pathology, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Marta Teixeira Pinto
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- IPATIMUP-Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
| | - Hugo Prazeres
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- IPATIMUP-Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
| | - Paula Soares
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- Cancer Signaling and Metabolism Group, IPATIMUP-Institute of Molecular Pathology and Immunology of the University of Porto, Rua Alfredo Allen 208, 4169-007 Porto, Portugal
- IPATIMUP-Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
- FMUP-Department of Pathology, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| | - Raquel T Lima
- i3S-Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal
- Cancer Signaling and Metabolism Group, IPATIMUP-Institute of Molecular Pathology and Immunology of the University of Porto, Rua Alfredo Allen 208, 4169-007 Porto, Portugal
- IPATIMUP-Institute of Molecular Pathology and Immunology of the University of Porto, 4200-135 Porto, Portugal
- FMUP-Department of Pathology, Faculty of Medicine, University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319 Porto, Portugal
| |
Collapse
|
6
|
Ban D, Housley SN, McDonald JF. The Clinical Significance of Genetic Variation in Ovarian Cancer. Int J Mol Sci 2023; 24:10823. [PMID: 37446001 DOI: 10.3390/ijms241310823] [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: 05/24/2023] [Revised: 06/12/2023] [Accepted: 06/25/2023] [Indexed: 07/15/2023] Open
Abstract
Genetic variation is a well-known contributor to the onset and progression of cancer. The goal of this study is to provide a comprehensive examination of the nucleotide and chromosomal variation associated with the onset and progression of serous ovarian cancer. Using a variety of computational and statistical methods, we examine the exome sequence profiles of genetic variants present in the primary tumors of 432 ovarian cancer patient samples to compute: (1) the tumor mutational burden for all genes and (2) the chromosomal copy number alterations associated with the onset/progression of ovarian cancer. Tumor mutational burden is reduced in the late vs. early stages, with the highest levels being associated with loss-of-function mutations in DNA-repair genes. Nucleotide variation and copy number alterations associated with known cancer driver genes are selectively favored over ovarian cancer development. The results indicate that genetic variation is a significant contributor to the onset and progression of ovarian cancer. The measurement of the relative levels of genetic variation associated with individual ovarian cancer patient tumors may be a clinically valuable predictor of potential tumor aggressiveness and resistance to chemotherapy. Tumors found to be associated with high levels of genetic variation may help in the clinical identification of high-risk ovarian cancer patients who could benefit from more frequent monitoring.
Collapse
Affiliation(s)
- Dongjo Ban
- Integrated Cancer Research Center, School of Biological Sciences, Georgia Institute of Technology, 315 Ferst Drive, Atlanta, GA 30332, USA
| | - Stephen N Housley
- Integrated Cancer Research Center, School of Biological Sciences, Georgia Institute of Technology, 315 Ferst Drive, Atlanta, GA 30332, USA
| | - John F McDonald
- Integrated Cancer Research Center, School of Biological Sciences, Georgia Institute of Technology, 315 Ferst Drive, Atlanta, GA 30332, USA
| |
Collapse
|
7
|
Wang M, Zhu L, Yang X, Li J, Liu Y, Tang Y. Targeting immune cell types of tumor microenvironment to overcome resistance to PD-1/PD-L1 blockade in lung cancer. Front Pharmacol 2023; 14:1132158. [PMID: 36874015 PMCID: PMC9974851 DOI: 10.3389/fphar.2023.1132158] [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: 12/26/2022] [Accepted: 02/06/2023] [Indexed: 02/17/2023] Open
Abstract
Lung cancer is the common malignant tumor with the highest mortality rate. Lung cancer patients have achieved benefits from immunotherapy, including immune checkpoint inhibitors (ICIs) therapy. Unfortunately, cancer patients acquire adaptive immune resistance, leading to poor prognosis. Tumor microenvironment (TME) has been demonstrated to play a critical role in participating in acquired adaptive immune resistance. TME is associated with molecular heterogeneity of immunotherapy efficacy in lung cancer. In this article, we discuss how immune cell types of TME are correlated with immunotherapy in lung cancer. Moreover, we describe the efficacy of immunotherapy in driven gene mutations in lung cancer, including KRAS, TP53, EGFR, ALK, ROS1, KEAP1, ZFHX3, PTCH1, PAK7, UBE3A, TNF-α, NOTCH, LRP1B, FBXW7, and STK11. We also emphasize that modulation of immune cell types of TME could be a promising strategy for improving adaptive immune resistance in lung cancer.
Collapse
Affiliation(s)
- Man Wang
- Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Lijie Zhu
- Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Xiaoxu Yang
- Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Jiahui Li
- Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, Jilin, China
| | - Yu'e Liu
- Tongji University Cancer Center, Shanghai Tenth People's Hospital of Tongji University, School of Medicine, Tongji University, Shanghai, China
| | - Ying Tang
- Department of Respiratory Medicine, The First Hospital of Jilin University, Changchun, Jilin, China
| |
Collapse
|
8
|
Gao L, Rong H. Potential mechanisms and prognostic model of eRNAs-regulated genes in stomach adenocarcinoma. Sci Rep 2022; 12:16545. [PMID: 36192427 PMCID: PMC9529949 DOI: 10.1038/s41598-022-20824-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 09/19/2022] [Indexed: 11/09/2022] Open
Abstract
Gastric Carcinoma is the fourth leading cause of cancer deaths worldwide, in which stomach adenocarcinoma (STAD) is the most common histological type. A growing amount of evidence has suggested the importance of enhancer RNAs (eRNAs) in the cancer. However, the potential mechanism of eRNAs in STAD remains unclear. The eRNAs-regulated genes (eRRGs) were identified through four different enhancer resources. The differentially expressed eRRGs were obtained by ‘DESeq2’ R package. The prognosis prediction model was constructed by Cox and Lasso regression analysis. The ‘ChAMP’ R package and ‘maftools’ R package were used to investigate the multi-omics characters. In this study, combining the concept of contact domain, a total of 9014 eRRGs including 4926 PCGs and 4088 lncRNAs were identified and these eRRGs showed higher and more stable expression. Besides, the functions of these genes were mainly associated with tumor-related biological processes. Then, a prognostic prediction model was constructed and the AUC values of the 1-, 3- and 5-year survival prediction reached 0.76, 0.84 and 0.84, respectively, indicating that this model has a high accuracy. Finally, the difference between high-risk group and low-risk group were investigated using multi-omics data including gene expression, DNA methylation and somatic mutations. Our study provides significant clues for the elucidation of eRNAs in STAD and may help improve the overall survival for STAD patients.
Collapse
Affiliation(s)
- Liuying Gao
- The Affiliated People's Hospital of Ningbo University, Ningbo, 315040, China. .,Department of Preventive Medicine, Zhejiang Provincial Key Laboratory of Pathological and Physiological Technology, School of Medicine, Ningbo, 315211, China.
| | - Hao Rong
- The Affiliated People's Hospital of Ningbo University, Ningbo, 315040, China.,Department of Preventive Medicine, Zhejiang Provincial Key Laboratory of Pathological and Physiological Technology, School of Medicine, Ningbo, 315211, China
| |
Collapse
|
9
|
Miao J, Yang Z, Guo W, Liu L, Song P, Ding C, Guan W. Integrative analysis of the proteome and transcriptome in gastric cancer identified LRP1B as a potential biomarker. Biomark Med 2022; 16:1101-1111. [PMID: 36606427 DOI: 10.2217/bmm-2022-0288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Background: The aim of this study was to discover unique membrane proteins associated with gastric cancer (GC) in proteomics analysis. Methods: Using a data-independent acquisition strategy, we compared the relative expression levels of membrane proteins in GC. Results: A total of 2774 differentially expressed membrane proteins were identified between GC and normal cell lines. Conjoint analysis of transcriptomes and proteomes provided 11 potential biomarkers (GPRC5A, PSAT1, NUDCD1, RCC2, IPO4, FAM91A1, KANK2, PRADC1, NME4, METTL7A and LRP1B) for further exploration. Downregulation of LRP1B in GC was validated by immunohistochemistry. Moreover, LRP1B demonstrated an area under the receiver operating characteristic curve of 0.917 in differentiating GC from normal tissues. Conclusion: LRP1B was identified as a meaningful indicator assisting in GC detection and labeling of tumor boundaries.
Collapse
Affiliation(s)
- Ji Miao
- Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China
| | - Zhi Yang
- Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China
| | - Wen Guo
- Department of Pathology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, 210011, China
| | - Lixiang Liu
- Department of General Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, 210008, China
| | - Peng Song
- Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China
| | - Chao Ding
- Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China
| | - Wenxian Guan
- Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, China
| |
Collapse
|
10
|
Zou S, Ye M, Zhang JA, Ji H, Chen Y, Zhu X. Establishment and genetically characterization of patient-derived xenograft models of cervical cancer. BMC Med Genomics 2022; 15:191. [PMID: 36076209 PMCID: PMC9461207 DOI: 10.1186/s12920-022-01342-5] [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: 03/28/2022] [Accepted: 08/29/2022] [Indexed: 11/30/2022] Open
Abstract
Purpose Patient-derived xenograft (PDX) models were established to reproduce the clinical situation of original cancers and have increasingly been applied to preclinical cancer research. Our study was designed to establish and genetically characterize cervical cancer PDX models. Methods A total of 91 fresh fragments obtained from 22 surgically resected cervical cancer tissues were subcutaneously engrafted into female NOD-SCID mice. Hematoxylin and eosin (H&E) staining was performed to assess whether the established PDX models conserved the histological features of original patient cervical cancer tissues. Moreover, a Venn diagram was applied to display the overlap of all mutations detected in whole-genome sequencing (WGS) data from patient original cervical cancer (F0) and F2-, F3-PDX models. The whole exome sequencing (WES) and the “maftools” package were applied to determine the somatic mutations among primary cervical cancers and the established PDX models. Results Our study successfully developed a panel of cervical cancer PDX models and the latency time of cervical cancer PDX model establishment was variable with a progressive decrease as the passage number increased, with a mean time to initial growth of 94.71 days in F1 engraftment to 40.65 days in F3 engraftment. Moreover, the cervical cancer PDX models preserved the histological features of their original cervical cancer. WGS revealed that the genome of original cervical cancer was preserved with high fidelity in cervical cancer PDX models throughout the xenografting and passaging process. Furthermore, WES demonstrated that the cervical cancer PDX models maintained the majority somatic mutations of original cervical cancer, of which the KMT2D, LRP1B, NAV3, TP53, FAT1, MKI67 and PKHD1L1 genes were identified as the most frequently mutated genes. Conclusions The cervical cancer PDX models preserved the histologic and genetic characteristics of their original cervical cancer, which helped to gain a deeper insight into the genetic alterations and lay a foundation for further investigation of the molecular targeted therapy of cervical cancer. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-022-01342-5.
Collapse
Affiliation(s)
- Shuangwei Zou
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, No. 109 Xueyuan Xi Road, Wenzhou, 325027, Zhejiang, China
| | - Miaomiao Ye
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, No. 109 Xueyuan Xi Road, Wenzhou, 325027, Zhejiang, China
| | - Jian-An Zhang
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, No. 109 Xueyuan Xi Road, Wenzhou, 325027, Zhejiang, China
| | - Huihui Ji
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, No. 109 Xueyuan Xi Road, Wenzhou, 325027, Zhejiang, China
| | - Yijie Chen
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, No. 109 Xueyuan Xi Road, Wenzhou, 325027, Zhejiang, China
| | - Xueqiong Zhu
- Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, No. 109 Xueyuan Xi Road, Wenzhou, 325027, Zhejiang, China.
| |
Collapse
|
11
|
Cui MY, Yi X, Zhu DX, Wu J. The Role of Lipid Metabolism in Gastric Cancer. Front Oncol 2022; 12:916661. [PMID: 35785165 PMCID: PMC9240397 DOI: 10.3389/fonc.2022.916661] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 05/23/2022] [Indexed: 11/20/2022] Open
Abstract
Gastric cancer has been one of the most common cancers worldwide with extensive metastasis and high mortality. Chemotherapy has been found as a main treatment for metastatic gastric cancer, whereas drug resistance limits the effectiveness of chemotherapy and leads to treatment failure. Chemotherapy resistance in gastric cancer has a complex and multifactorial mechanism, among which lipid metabolism plays a vital role. Increased synthesis of new lipids or uptake of exogenous lipids can facilitate the rapid growth of cancer cells and tumor formation. Lipids form the structural basis of biofilms while serving as signal molecules and energy sources. It is noteworthy that lipid metabolism is capable of inducing drug resistance in gastric cancer cells by reshaping the tumor micro-environment. In this study, new mechanisms of lipid metabolism in gastric cancer and the metabolic pathways correlated with chemotherapy resistance are reviewed. In particular, we discuss the effects of lipid metabolism on autophagy, biomarkers treatment and drug resistance in gastric cancer from the perspective of lipid metabolism. In brief, new insights can be gained into the development of promising therapies through an in-depth investigation of the mechanism of lipid metabolism reprogramming and resensitization to chemotherapy in gastric cancer cells, and scientific treatment can be provided by applying lipid-key enzyme inhibitors as cancer chemical sensitizers in clinical settings.
Collapse
Affiliation(s)
| | | | | | - Jun Wu
- *Correspondence: Jun Wu, ; Dan-Xia Zhu,
| |
Collapse
|
12
|
Zhen Z, Shen Z, Sun P. Downregulation of Low-density lipoprotein receptor-related protein 1B (LRP1B) inhibits the progression of hepatocellular carcinoma cells by activating the endoplasmic reticulum stress signaling pathway. Bioengineered 2022; 13:9467-9481. [PMID: 35389768 PMCID: PMC9161869 DOI: 10.1080/21655979.2022.2060778] [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] [Indexed: 11/04/2022] Open
Abstract
Hepatocellular carcinoma (HCC) has a high recurrence rate and mortality rate even after surgery. Low-density lipoprotein receptor-related protein 1B (LRP1B) has proven to be involved in tumor development and progression of multiple malignancies. However, the function of LRP1B in HCC progression has not been fully elucidated. Thus, we conducted this study to explore the relationship between LRP1B and HCC. Bioinformatic analyses implied that LRP1B was highly expressed in HCC tissues. High LRP1B expression was shown to be related to poor outcomes and the determination of HCC patients’ tumor stage. LRP1B deletion impeded the proliferation, migration, and invasion of HCC cells. Further investigation demonstrated that silencing LRP1B expression enhanced the sensitivity of HCC cells to doxorubicin. LRP1B deletion inhibited HCC progression by regulating the PERK-ATF4-CHOP signaling pathway. Additionally, we probed the genomic alterations of LRP1B in HCC and the impact on the prognosis of patients. Collectively, our results suggest that LRP1B plays an essential role in the promotion of HCC progression by regulating the PERK-ATF4-CHOP signaling pathway, which is a potential prognostic biomarker and a promising therapeutic target of HCC.
Collapse
Affiliation(s)
- Zili Zhen
- Department of General Surgery, Jinshan Hospital, Fudan University, Shanghai, P. R. China.,Department of Surgery, Shanghai Medical College, Fudan University, Shanghai, P. R. China.,Center for Tumor Diagnosis and Therapy, Jinshan Hospital, Fudan University, Shanghai, P. R. China
| | - Zhemin Shen
- Department of General Surgery, Jinshan Hospital, Fudan University, Shanghai, P. R. China
| | - Peilong Sun
- Department of General Surgery, Jinshan Hospital, Fudan University, Shanghai, P. R. China.,Center for Tumor Diagnosis and Therapy, Jinshan Hospital, Fudan University, Shanghai, P. R. China
| |
Collapse
|
13
|
Ogt Demonstrated Conspicuous Clinical Significance in Cancers, from Pan-Cancer to Small-Cell Lung Cancer. JOURNAL OF ONCOLOGY 2022; 2022:2010341. [PMID: 35356257 PMCID: PMC8959957 DOI: 10.1155/2022/2010341] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 02/18/2022] [Indexed: 11/25/2022]
Abstract
The clinical progression of small-cell lung cancer (SCLC) remains pessimistic. The aim of the present study was to promote the understanding of the clinical significance and mechanism of O-linked N-acetylglucosamine (GlcNAc) transferase (OGT) in SCLC. Wilcoxon tests, standardized mean difference (SMD), and Kruskal–Wallis tests were utilized to compare OGT level differences among the experimental and control groups. The univariate Cox regression analysis, Kaplan–Meier curves, and receiver operating characteristic curves were applied to determine OGT's clinical relevance in cancers. The Spearman correlation analysis and enrichment analysis were utilized to explore the underlying mechanisms of OGT in cancers. For the first time in the field, we provide an overview of OGT in 32 cancers using a large number of samples (n = 21,196), determining distinct OGT expression in 25 cancers and its prognosis effects in 12 cancers. Furthermore, using 950 samples from multiple sources, upregulated OGT was found in both mRNA and protein levels in SCLC (SMD = 0.93, 95% CI [0.24, 1.63]). Higher OGT levels represented a more unfavorable disease-free interval for SCLC patients (p < 0.001). The research also identified OGT expression as a potential marker for SCLC prediction (sensitivity = 0.79, specificity = 0.86, and AUC = 0.88). The high expression of OGT in SCLC may result from the positive regulation of two transcription factors—DEK and XRN2. We primarily investigated the underlying mechanisms of OGT in SCLC. Herein, based on the analyses from pan-cancer to SCLC, OGT demonstrated conspicuous clinical significance. OGT may be an underlying biomarker for the treatment and identification of some cancers, including SCLC.
Collapse
|