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Wang X, Duan M, Li J, Ma A, Xin G, Xu D, Li Z, Liu B, Ma Q. MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer. Nat Commun 2024; 15:338. [PMID: 38184630 PMCID: PMC10771517 DOI: 10.1038/s41467-023-44570-8] [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: 08/07/2023] [Accepted: 12/14/2023] [Indexed: 01/08/2024] Open
Abstract
Rare cell populations are key in neoplastic progression and therapeutic response, offering potential intervention targets. However, their computational identification and analysis often lag behind major cell types. To fill this gap, we introduce MarsGT: Multi-omics Analysis for Rare population inference using a Single-cell Graph Transformer. It identifies rare cell populations using a probability-based heterogeneous graph transformer on single-cell multi-omics data. MarsGT outperforms existing tools in identifying rare cells across 550 simulated and four real human datasets. In mouse retina data, it reveals unique subpopulations of rare bipolar cells and a Müller glia cell subpopulation. In human lymph node data, MarsGT detects an intermediate B cell population potentially acting as lymphoma precursors. In human melanoma data, it identifies a rare MAIT-like population impacted by a high IFN-I response and reveals the mechanism of immunotherapy. Hence, MarsGT offers biological insights and suggests potential strategies for early detection and therapeutic intervention of disease.
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Affiliation(s)
- Xiaoying Wang
- School of Mathematics, Shandong University, Jinan, Shandong, 250100, China
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA
| | - Maoteng Duan
- School of Mathematics, Shandong University, Jinan, Shandong, 250100, China
| | - Jingxian Li
- School of Mathematics, Shandong University, Jinan, Shandong, 250100, China
| | - Anjun Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA
| | - Gang Xin
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA
| | - Dong Xu
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO, 65211, USA
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, 65211, USA
| | - Zihai Li
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA
| | - Bingqiang Liu
- School of Mathematics, Shandong University, Jinan, Shandong, 250100, China.
| | - Qin Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA.
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH, 43210, USA.
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Wang X, Duan M, Li J, Ma A, Xu D, Li Z, Liu B, Ma Q. MarsGT: Multi-omics analysis for rare population inference using single-cell graph transformer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.15.553454. [PMID: 37645917 PMCID: PMC10462017 DOI: 10.1101/2023.08.15.553454] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Rare cell populations are key in neoplastic progression and therapeutic response, offering potential intervention targets. However, their computational identification and analysis often lag behind major cell types. To fill this gap, we introduced MarsGT: Multi-omics Analysis for Rare population inference using Single-cell Graph Transformer. It identifies rare cell populations using a probability-based heterogeneous graph transformer on single-cell multi-omics data. MarsGT outperformed existing tools in identifying rare cells across 400 simulated and four real human datasets. In mouse retina data, it revealed unique subpopulations of rare bipolar cells and a Müller glia cell subpopulation. In human lymph node data, MarsGT detected an intermediate B cell population potentially acting as lymphoma precursors. In human melanoma data, it identified a rare MAIT-like population impacted by a high IFN-I response and revealed the mechanism of immunotherapy. Hence, MarsGT offers biological insights and suggests potential strategies for early detection and therapeutic intervention of disease.
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Affiliation(s)
- Xiaoying Wang
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Maoteng Duan
- School of Mathematics, Shandong University, Jinan, Shandong, 250100, China
| | - Jingxian Li
- School of Mathematics, Shandong University, Jinan, Shandong, 250100, China
| | - Anjun Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Dong Xu
- Department of Electrical Engineering and Computer Science, University of Missouri, Columbia, MO 65211, USA
- Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO 65211, USA
| | - Zihai Li
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Bingqiang Liu
- School of Mathematics, Shandong University, Jinan, Shandong, 250100, China
| | - Qin Ma
- Department of Biomedical Informatics, College of Medicine, The Ohio State University, Columbus, OH, 43210, USA
- Pelotonia Institute for Immuno-Oncology, The James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
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Goyal N, O’Leary D, Carter JB, Comfere N, Sokumbi O, Goyal A. A Practical Review of the Presentation, Diagnosis, and Management of Cutaneous B-Cell Lymphomas. Dermatol Clin 2022; 41:187-208. [DOI: 10.1016/j.det.2022.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Zhao J, Wu F, Yang J. A novel long non-coding RNA TTN-AS1/microRNA-589-5p/FOXP1 positive feedback loop increases the proliferation, migration and invasion of pancreatic cancer cell lines. Oncol Lett 2021; 22:794. [PMID: 34584569 PMCID: PMC8461757 DOI: 10.3892/ol.2021.13055] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 07/12/2021] [Indexed: 12/19/2022] Open
Abstract
Numerous reports have found that long non-coding (lnc) RNAs were associated with pancreatic cancer (PC) initiation and development. The lncRNA titin antisense RNA 1 (TTN-AS1) was identified as a tumor promoter in certain types of cancer; however, its role and mechanism in PC remain unclear. The aim of the present study was to investigate the role of TTN-AS1 in PC and elucidate the underlying mechanism. Reverse transcription-quantitative PCR analysis was performed to examine the mRNA expression level of TTN-AS1, microRNA(miR)-589-5p and forkhead box protein 1 (FOXP1). Knockdown experiments were performed to examine the effect of TTN-AS1 on PC cell proliferation, migration and invasion. Luciferase reporter assays validated the binding of miR-589-5p to TTN-AS1 and FOXP1. Chromatin immunoprecipitation and luciferase reporter assays confirmed the binding ability of FOXP1 to the TTN-AS1 promoter. As a result, TTN-AS1 and FOXP1 were found to be upregulated in PC cell lines and tissues, while miR-589-5p was expressed at low levels. Knockdown experiments indicated the suppressive effect of TTN-AS1 knockdown on cell proliferation, migration and invasion in PC cell lines. Further mechanistic research uncovered that TTN-AS1 functioned as a molecular sponge for miR-589-5p and its mRNA expression level in PC tissues was inversely associated with that of miR-589-5p. Furthermore, miR-589-5p was confirmed to target FOXP1. Of note, it was discovered that FOXP1 transcriptionally activated TTN-AS1 mRNA expression level. Taken together, the findings of the present study demonstrated that the new TTN-AS1/miR-589-5p/FOXP1 feedback loop may play an important role in PC.
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Affiliation(s)
- Jing Zhao
- Department of Gastroenterology, Liyang People's Hospital, Liyang, Jiangsu 213300, P.R. China
| | - Fang Wu
- Department of Gastroenterology, Wuxi People's Hospital, Wuxi, Jiangsu 214023, P.R. China
| | - Jun Yang
- Department of Gastroenterology, Liyang People's Hospital, Liyang, Jiangsu 213300, P.R. China
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Kilaru S, Panda SS, Mishra S, Mohapatra D, Baisakh M, Kolluri S, Devaraj S, Moharana L, Biswas G. Cutaneous involvement in diffuse large B cell lymphoma at presentation: report of two rare cases and literature review. J Egypt Natl Canc Inst 2021; 33:25. [PMID: 34514544 DOI: 10.1186/s43046-021-00085-1] [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: 07/13/2021] [Accepted: 08/18/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Diffuse large B cell lymphoma (DLBCL) can occur at nodal and/or extra-nodal sites. After the gastrointestinal tract, cutaneous involvement predominates in extra-nodal DLBCL. Skin involvement at presentation can be in the form of plaques, papules, nodules or ulcers. Differentiating primary cutaneous DLBCL from systemic DLBCL with cutaneous involvement is important for appropriate patient management. CASE PRESENTATION We describe here, two interesting cases of skin involvement in DLBCL- one primary cutaneous DLBCL and the other, cutaneous involvement in systemic DLBCL with different clinico-pathological profiles. Though both cases had almost similar morphology of the skin lesions (ulcero-proliferative) at presentation, the disease was confined to the skin in the former, while the latter had involvement of lymph nodes and bone marrow. CONCLUSIONS Meticulous clinical evaluation, appropriate histopathological and immunohistochemical workup helped in their diagnosis and correct classification of the disease status, guiding the further treatment decisions.
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Affiliation(s)
- Sindhu Kilaru
- Department of Medical Oncology, IMS and SUM Hospital, Siksha 'O' Anusandhan University, Bhubaneshwar, Odisha, India.
| | - Soumya Surath Panda
- Department of Medical Oncology, IMS and SUM Hospital, Siksha 'O' Anusandhan University, Bhubaneshwar, Odisha, India
| | - Sourav Mishra
- Department of Medical Oncology, Apollo Hospital, Bhubaneswar, Odisha, India
| | - Debahuti Mohapatra
- Department of Pathology, IMS & SUM Hospital, Siksha 'O' Anusandhan University, Bhubaneswar, Odisha, India
| | - Manas Baisakh
- Department of Pathology, Apollo Hospital, Bhubaneswar, Odisha, India
| | - Spoorthy Kolluri
- Department of Medical Oncology, IMS and SUM Hospital, Siksha 'O' Anusandhan University, Bhubaneshwar, Odisha, India
| | - Suma Devaraj
- Department of Medical Oncology, IMS and SUM Hospital, Siksha 'O' Anusandhan University, Bhubaneshwar, Odisha, India
| | - Lalatendu Moharana
- Department of Medical Oncology, IMS and SUM Hospital, Siksha 'O' Anusandhan University, Bhubaneshwar, Odisha, India
| | - Ghanashyam Biswas
- Department of Medical Oncology, IMS and SUM Hospital, Siksha 'O' Anusandhan University, Bhubaneshwar, Odisha, India.,Department of Medical Oncology, Sparsh Hospital, Bhubaneswar, Odisha, India
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Dlamini Z, Mbele M, Makhafola TJ, Hull R, Marima R. HIV-Associated Cancer Biomarkers: A Requirement for Early Diagnosis. Int J Mol Sci 2021; 22:ijms22158127. [PMID: 34360891 PMCID: PMC8348540 DOI: 10.3390/ijms22158127] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/18/2021] [Accepted: 07/19/2021] [Indexed: 02/07/2023] Open
Abstract
Globally, HIV/AIDS and cancer are increasingly public health problems and continue to exist as comorbidities. The sub-Saharan African region has the largest number of HIV infections. Malignancies previously associated with HIV/AIDS, also known as the AIDS-defining cancers (ADCs) have been documented to decrease, while the non-AIDS defining cancer (NADCs) are on the rise. On the other hand, cancer is a highly heterogeneous disease and precision oncology as the most effective cancer therapy is gaining attraction. Among HIV-infected individuals, the increased risk for developing cancer is due to the immune system of the patient being suppressed, frequent coinfection with oncogenic viruses and an increase in risky behavior such as poor lifestyle. The core of personalised medicine for cancer depends on the discovery and the development of biomarkers. Biomarkers are specific and highly sensitive markers that reveal information that aid in leading to the diagnosis, prognosis and therapy of the disease. This review focuses mainly on the risk assessment, diagnostic, prognostic and therapeutic role of various cancer biomarkers in HIV-positive patients. A careful selection of sensitive and specific HIV-associated cancer biomarkers is required to identify patients at most risk of tumour development, thus improving the diagnosis and prognosis of the disease.
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Meng Q, Wang X, Xue T, Zhao Q, Wang W, Zhao K. Long noncoding RNA MIR99AHG promotes gastric cancer progression by inducing EMT and inhibiting apoptosis via miR577/FOXP1 axis. Cancer Cell Int 2020; 20:414. [PMID: 32874129 PMCID: PMC7457246 DOI: 10.1186/s12935-020-01510-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 08/19/2020] [Indexed: 12/12/2022] Open
Abstract
Background Long non-coding RNAs (lncRNAs) play a vital role in the genesis and development of human cancer. LncRNA MIR99AHG has been reported to be upregulated in acute myeloid leukemia (AML); however, its function in gastric cancer (GC) is still not clear. Here we were aiming to screen the prognostic lncRNA candidates and to explore the function of MIR99AHG in GC. Methods We have preliminarily screened some candidate lncRNA biomarkers in GC tissues through analyzing microarray datasets. The expression level of MIR99AHG in GC cell lines and tissues was monitored via qPCR. Survival analysis was performed with the patients of our hospital and TCGA database cases. CCK-8 assay, trans-well assay and flow cytometry were performed to determine cell proliferation, invasion, migration and apoptosis. Meanwhile, a target of MIR99AHG was predicted and identified by luciferase reporter gene detection experiments. Results MIR99AHG was strongly up-regulated in human GC and contributed to cancer progression. Kaplan–Meier analysis revealed that up-regulating MIR99AHG expression was positively correlated with unfavorable overall survival (P < 0.01) of patients from our hospital and TCGA database. Knockdown of MIR99AHG expression inhibited cell proliferation, invasion, migration and promoted cell apoptosis. Moreover, MIR99AHG worked as an oncogenic gene though competing for endogenous RNA (ceRNA) of miR-577. Conclusions Our findings suggested that MIR99AHG contributes to malignant phenotypes of GC and may become a promising therapeutic target.
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Affiliation(s)
- Qingyang Meng
- Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Xiangjun Wang
- Department of General Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, China
| | - Tongqing Xue
- Department of Oncology, Huaian Hospital of Huaian City, No.161 Zhenhuailou East Road, Huai'an, 223200 Jiangsu China
| | - Qiangfang Zhao
- Department of Oncology, Huaian Hospital of Huaian City, No.161 Zhenhuailou East Road, Huai'an, 223200 Jiangsu China
| | - Wei Wang
- Department of Oncology, Huaian Hospital of Huaian City, No.161 Zhenhuailou East Road, Huai'an, 223200 Jiangsu China
| | - Kun Zhao
- Department of Oncology, Huaian Hospital of Huaian City, No.161 Zhenhuailou East Road, Huai'an, 223200 Jiangsu China
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Dong H, Wang Q, Zhang G, Li N, Yang M, An Y, Xie L, Li H, Zhang L, Zhu W, Zhao S, Zhang H, Guo X. OSdlbcl: An online consensus survival analysis web server based on gene expression profiles of diffuse large B-cell lymphoma. Cancer Med 2020; 9:1790-1797. [PMID: 31918459 PMCID: PMC7050097 DOI: 10.1002/cam4.2829] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 12/11/2019] [Accepted: 12/26/2019] [Indexed: 12/12/2022] Open
Abstract
Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin lymphoma (NHL) and is a clinical, pathological, and molecular heterogeneous disease with highly variable clinical outcomes. Currently, valid prognostic biomarkers in DLBCL are still lacking. To optimize targeted therapy and improve the prognosis of DLBCL, the performance of proposed biomarkers needs to be evaluated in multiple cohorts, and new biomarkers need to be investigated in large datasets. Here, we developed a consensus Online Survival analysis web server for Diffuse Large B‐Cell Lymphoma, abbreviated OSdlbcl, to assess the prognostic value of individual gene. To build OSdlbcl, we collected 1100 samples with gene expression profiles and clinical follow‐up information from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. In addition, DNA mutation data were also collected from the TCGA database. Overall survival (OS), progression‐free survival (PFS), disease‐specific survival (DSS), disease‐free interval (DFI), and progression‐free interval (PFI) are important endpoints to reflect the survival rate in OSdlbcl. Moreover, clinical features were integrated into OSdlbcl to allow data stratifications according to the user's special needs. By inputting an official gene symbol and selecting desired criteria, the survival analysis results can be graphically presented by the Kaplan‐Meier (KM) plot with hazard ratio (HR) and log‐rank p value. As a proof‐of‐concept demonstration, the prognostic value of 23 previously reported survival associated biomarkers, such as transcription factors FOXP1 and BCL2, was evaluated in OSdlbcl and found to be significantly associated with survival as reported (HR = 1.73, P < .01; HR = 1.47, P = .03, respectively). In conclusion, OSdlbcl is a new web server that integrates public gene expression, gene mutation data, and clinical follow‐up information to provide prognosis evaluations for biomarker development for DLBCL. The OSdlbcl web server is available at https://bioinfo.henu.edu.cn/DLBCL/DLBCLList.jsp.
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Affiliation(s)
- Huan Dong
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Qiang Wang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Guosen Zhang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Ning Li
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Mengsi Yang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Yang An
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Longxiang Xie
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Huimin Li
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Lu Zhang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
| | - Wan Zhu
- Department of Anesthesia, Stanford University School of Medicine, Stanford, CA, USA
| | - Shuchun Zhao
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Haiyu Zhang
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiangqian Guo
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng, China
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Harb OA, Kaf RM, Taha HF, Ahmed RZ, Mandour D, Al Attar AZ, Fathy A, Almoregy AS, Osman G, Gertallah LM. Prognostic values and clinical implications of programmed cell death-ligand 1 (PD-L1), fork head transcription factor P-1 (FOXP-1) and signal transducer and activator of transcription-3 (STAT-3) expression in diffuse large B-cell lymphoma (DLBCL); an immunohistochemical study. SURGICAL AND EXPERIMENTAL PATHOLOGY 2019. [DOI: 10.1186/s42047-019-0038-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Context
PD-L1 is an inhibitory ligand that functions as an essential immune checkpoint. FOXP-1 is a member of the FOXP family. STAT-3 plays a critical role in regulation of cell proliferation and survival. The detailed expression of the three markers together in DLBCL tissues and their prognostic value in patients with DLBCL were not fully investigated.
Aim was to assess the expression of PD-L1, FOXP-1 and STAT-3 in diffuse large B-cell lymphoma (DLBCL) and to correlate their expression with the pathological findings, prognostic parameters and clinical implications of patients.
Methods
PD-L1, FOXP-1 and STAT-3 were assessed in DLBCL tissues derived from 50 patients using immunohistochemistry. Patients were followed up for 3 years for response to therapy progression, recurrence and survival.
Results
High PD-L1 expression was associated with bone marrow involvement (p = 0.004), extra-nodal involvement (p = 0.006) and advanced stage (p = 0.003). High FOXP-1 expression was associated with presence of bone marrow involvement and high risk group (p < 0.001). High STAT-3 expression was associated with older age of the patient (p < 0.001), presence of bone marrow involvement (p = 0.002), extra-nodal involvement (p = 0.009), and high risk group (p = 0.005). High expression of PD-L1, FOXP-1 and STAT-3 was related to poor response to therapy, poor OS rate and RFS rates (p < 0.001).
Conclusion
High expression of PD-L1, FOXP-1 and STAT-3 was related poor prognosis in DLBCL patients.
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Chan A, Dogan A. Prognostic and Predictive Biomarkers in Diffuse Large B-cell Lymphoma. Surg Pathol Clin 2019; 12:699-707. [PMID: 31352982 DOI: 10.1016/j.path.2019.03.012] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Affiliation(s)
- Alex Chan
- Hematopathology Diagnostic Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
| | - Ahmet Dogan
- Hematopathology Diagnostic Service, Department of Pathology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
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Yu BH, Li BZ, Zhou XY, Shi DR, Yang WT. Cytoplasmic FOXP1 expression is correlated with ER and calpain II expression and predicts a poor outcome in breast cancer. Diagn Pathol 2018; 13:36. [PMID: 29848352 PMCID: PMC5977746 DOI: 10.1186/s13000-018-0715-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Accepted: 05/22/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Nuclear forkhead box protein P1 (N-FOXP1) expression in invasive breast cancer has been documented in the literature. However, the FOXP1 expression patterns at different stages of breast cancer progression are largely unknown, and the significance of cytoplasmic FOXP1 (C-FOXP1) expression in breast cancer has not been well illustrated. The aims of this study were to investigate FOXP1 expression patterns in invasive ductal carcinoma (IDC), ductal carcinoma in situ (DCIS), atypical ductal hyperplasia (ADH) and usual ductal hyperplasia (UDH), and to analyze the clinicopathological relevance of C-FOXP1 and its prognostic value in IDC. METHODS N-FOXP1 and C-FOXP1 expression in cases of IDC, DCIS, ADH and UDH was determined using immunohistochemistry. The correlation between C-FOXP1 expression and clinicopathological parameters as well as the overall survival (OS) and disease-free survival (DFS) rates of patients with IDC were analyzed. RESULTS Exclusive N-FOXP1 expression was found in 85.0% (17/20), 40.0% (8/20), 12.2% (5/41) and 10.8% (9/83) of UDH, ADH, DCIS, and IDC cases, respectively, and exclusive C-FOXP1 expression was observed in 0% (0/20), 0% (0/20), 4.9% (2/41), and 31.3% (26/83) of the cases, respectively. Both N- and C-FOXP1 staining were observed in 15.0% (3/20), 60.0% (12/20), 82.9% (34/41) and 48.2% (40/83) of the above cases, respectively, while complete loss of FOXP1 expression was observed in only 9.6% (8/83) of IDC cases. Estrogen receptor (ER) expression in C-FOXP1-positive IDC cases (31/66, 47.0%) was significantly lower than that in C-FOXP1-negative cases (13/17, 76.5%) (p = 0.030). Calpain II expression was observed in 83.3% (55/66) of C-FOXP1-positive IDC cases, which was significantly higher than that in C-FOXP1-negative cases (9/17, 52.9%) (p = 0.007). Calpain II was significantly associated with pAKT (p = 0.029), pmTOR (p = 0.011), p4E-BP1 (p < 0.001) and p-p70S6K (p = 0.003) expression levels. The 10-year OS and DFS rates of the C-FOXP1-positive patients were 60.5% and 48.7%, respectively, both of which were lower than those of the C-FOXP1-negative patients (93.3, 75.3%). The OS curve showed a dramatic impact of C-FOXP1 status on OS (p = 0.045). CONCLUSIONS Cytoplasmic relocalization of FOXP1 protein was a frequent event in breast IDC. Calpain II might play an important role in nucleocytoplasmic trafficking of FOXP1 and the AKT pathway might be involved in this process. C-FOXP1 expression was inversely associated with ER expression and might be a predictor of poor OS in patients with IDC.
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Affiliation(s)
- Bao-Hua Yu
- Department of Pathology, Fudan University Shanghai Cancer Center, Dong-an Road 270, Xuhui District, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Bai-Zhou Li
- Department of Pathology, the Second Affiliated Hospital of Zhejiang University, 88 Jiefang Road, Hangzhou, 310009, China
| | - Xiao-Yan Zhou
- Department of Pathology, Fudan University Shanghai Cancer Center, Dong-an Road 270, Xuhui District, Shanghai, 200032, China. .,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Da-Ren Shi
- Department of Pathology, Fudan University Shanghai Cancer Center, Dong-an Road 270, Xuhui District, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wen-Tao Yang
- Department of Pathology, Fudan University Shanghai Cancer Center, Dong-an Road 270, Xuhui District, Shanghai, 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
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Wight JC, Chong G, Grigg AP, Hawkes EA. Prognostication of diffuse large B-cell lymphoma in the molecular era: moving beyond the IPI. Blood Rev 2018; 32:400-415. [PMID: 29605154 DOI: 10.1016/j.blre.2018.03.005] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2017] [Revised: 03/21/2018] [Accepted: 03/22/2018] [Indexed: 12/21/2022]
Abstract
Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease with variable outcomes. Despite the majority of patients being cured with combination chemoimmunotherapy, up to 30% eventually succumb to the disease. Until recently, baseline prognostic assessment has centred on the International Prognostic Index (IPI), although this index is yet to impact strongly on treatment choice. Molecular features such as cell of origin, MYC and BCL-2 genetic alterations and protein overexpression were identified over a decade ago, yet their prognostic value is still not fully elucidated. Adding complexity are the plethora of new clinical, biological and molecular prognostic markers described in the recent literature, most of which lack independent validation, likely act as surrogate markers for those already in common use and have yet to substantially impact on therapeutic decision making. This review comprehensively assesses the value of individual prognostic markers in the clinical setting and their potential to predict response to novel agents, and ways to optimise their use in future research.
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Affiliation(s)
- Joel C Wight
- Olivia Newton John Cancer Research and Wellness Centre, Austin Health, Heidelberg, Australia.
| | - Geoffrey Chong
- Olivia Newton John Cancer Research and Wellness Centre, Austin Health, Heidelberg, Australia.
| | - Andrew P Grigg
- Olivia Newton John Cancer Research and Wellness Centre, Austin Health, Heidelberg, Australia; University of Melbourne, Melbourne, Australia.
| | - Eliza A Hawkes
- Olivia Newton John Cancer Research and Wellness Centre, Austin Health, Heidelberg, Australia; University of Melbourne, Melbourne, Australia; Eastern Health, Box Hill, Australia.
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van Keimpema M, Grüneberg LJ, Schilder-Tol EJM, Oud MECM, Beuling EA, Hensbergen PJ, de Jong J, Pals ST, Spaargaren M. The small FOXP1 isoform predominantly expressed in activated B cell-like diffuse large B-cell lymphoma and full-length FOXP1 exert similar oncogenic and transcriptional activity in human B cells. Haematologica 2016; 102:573-583. [PMID: 27909217 PMCID: PMC5394978 DOI: 10.3324/haematol.2016.156455] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Accepted: 11/24/2016] [Indexed: 12/23/2022] Open
Abstract
The forkhead transcription factor FOXP1 is generally regarded as an oncogene in activated B cell-like diffuse large B-cell lymphoma. Previous studies have suggested that a small isoform of FOXP1 rather than full-length FOXP1, may possess this oncogenic activity. Corroborating those studies, we herein show that activated B cell-like diffuse large B-cell lymphoma cell lines and primary activated B cell-like diffuse large B-cell lymphoma cells predominantly express a small FOXP1 isoform, and that the 5′-end of the Foxp1 gene is a common insertion site in murine lymphomas in leukemia virus- and transposon-mediated insertional mutagenesis screens. By combined mass spectrometry, (quantative) reverse transcription polymerase chain reaction/sequencing, and small interfering ribonucleic acid-mediated gene silencing, we determined that the small FOXP1 isoform predominantly expressed in activated B cell-like diffuse large B-cell lymphoma lacks the N-terminal 100 amino acids of full-length FOXP1. Aberrant overexpression of this FOXP1 isoform (ΔN100) in primary human B cells revealed its oncogenic capacity; it repressed apoptosis and plasma cell differentiation. However, no difference in potency was found between this small FOXP1 isoform and full-length FOXP1. Furthermore, overexpression of full-length FOXP1 or this small FOXP1 isoform in primary B cells and diffuse large B-cell lymphoma cell lines resulted in similar gene regulation. Taken together, our data indicate that this small FOXP1 isoform and full-length FOXP1 have comparable oncogenic and transcriptional activity in human B cells, suggesting that aberrant expression or overexpression of FOXP1, irrespective of the specific isoform, contributes to lymphomagenesis. These novel insights further enhance the value of FOXP1 for the diagnostics, prognostics, and treatment of diffuse large B-cell lymphoma patients.
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Affiliation(s)
- Martine van Keimpema
- Department of Pathology, Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Academic Medical Center, Leiden University Medical Center, Amsterdam, The Netherlands
| | - Leonie J Grüneberg
- Department of Pathology, Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Academic Medical Center, Leiden University Medical Center, Amsterdam, The Netherlands
| | - Esther J M Schilder-Tol
- Department of Pathology, Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Academic Medical Center, Leiden University Medical Center, Amsterdam, The Netherlands
| | - Monique E C M Oud
- Department of Pathology, Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Academic Medical Center, Leiden University Medical Center, Amsterdam, The Netherlands
| | - Esther A Beuling
- Department of Pathology, Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Academic Medical Center, Leiden University Medical Center, Amsterdam, The Netherlands
| | - Paul J Hensbergen
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Amsterdam, The Netherlands
| | - Johann de Jong
- Division of Molecular Carcinogenesis, Netherlands Cancer institute, Amsterdam, The Netherlands
| | - Steven T Pals
- Department of Pathology, Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Academic Medical Center, Leiden University Medical Center, Amsterdam, The Netherlands
| | - Marcel Spaargaren
- Department of Pathology, Lymphoma and Myeloma Center Amsterdam (LYMMCARE), Academic Medical Center, Leiden University Medical Center, Amsterdam, The Netherlands
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14
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Oskay Halacli S. FOXP1 enhances tumor cell migration by repression of NFAT1 transcriptional activity in MDA-MB-231 cells. Cell Biol Int 2016; 41:102-110. [PMID: 27859969 DOI: 10.1002/cbin.10702] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Accepted: 11/06/2016] [Indexed: 01/01/2023]
Abstract
Until now, forkhead box P1 (FOXP1) has been identified as a tumor suppressor in several correlation studies in breast cancer. Although FOXP1 is defined as a transcriptional repressor that interacts with other transcription factors in various mechanistic studies, there is no study that explains its repressor functions in breast cancer biology. This study demonstrated the repressor function of FOXP1 on nuclear factor of activated T cells (NFAT1) and the migratory effect of this repression in MDA-MB-231 breast cancer cells. Co-immunoprecipitation experiments were performed for the investigation of protein-protein interaction between two transcription factors. Protein-protein interaction on DNA was investigated with EMSA and transcriptional effects of FOXP1 on NFAT1, luciferase reporter assay was performed. Wound healing assay was used to analyze the effects of overexpression of FOXP1 on tumor cell migration. This study showed that FOXP1 has protein-protein interaction with NFAT1 on DNA and enhances breast cancer cell migration by repressing NFAT1 transcriptional activity and FOXP1 shows oncogenic function by regulating breast cancer cell motility.
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Affiliation(s)
- Sevil Oskay Halacli
- Department of Pediatric Immunology, Institute of Child Health, Hacettepe University, Sihhiye, 06100, Ankara, Turkey
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15
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Abstract
Diffuse large B-cell lymphoma (DLBCL) is the most common subtype of mature B-cell lymphoma. While the majority of patients are cured with immunochemotherapy incorporating the anti-CD20 monoclonal antibody rituximab (R-CHOP), relapsed and refractory patients still have a dismal prognosis. DLBCL subtypes including an aggressive activated B-cell-like (ABC) and a more favorable prognosis germinal center-like (GCB) DLBCL have been identified by gene expression profiling and are characterized by distinct genetic abnormalities and oncogenic pathways. This identification of novel molecular targets is now enabling clinical trials to evaluate more effective personalized approaches to DLBCL therapy. The forkhead transcription factor FOXP1 is highly expressed in the ABC-DLBCL gene signature and has been extensively studied within the context of DLBCL for more than a decade. Here, we review the significance of FOXP1 in the pathogenesis of DLBCL, summarizing data supporting its utility as a prognostic and subtyping marker, its targeting by genetic aberrations, the importance of specific isoforms, and emerging data demonstrating a functional role in lymphoma biology. FOXP1 is one of the critical transcription factors whose deregulated expression makes important contributions to DLBCL pathogenesis. Thus, FOXP1 warrants further study as a potential theranostic in ABC-DLBCL.
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Affiliation(s)
- Duncan M Gascoyne
- a Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine , University of Oxford , Oxford , UK
| | - Alison H Banham
- a Nuffield Division of Clinical Laboratory Sciences, Radcliffe Department of Medicine , University of Oxford , Oxford , UK
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16
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Prognostic value of decreased FOXP1 protein expression in various tumors: a systematic review and meta-analysis. Sci Rep 2016; 6:30437. [PMID: 27457567 PMCID: PMC4960649 DOI: 10.1038/srep30437] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Accepted: 07/01/2016] [Indexed: 12/12/2022] Open
Abstract
The prognostic value of forkhead box protein P1 (FOXP1) protein expression in tumors remains controversial. Therefore, we conducted a systematic review and meta-analysis, searching the PubMed, Embase and Web of Science databases to identify eligible studies. In total, we analyzed 22 articles that examined 9 tumor types and included 2468 patients. Overall, decreased expression of FOXP1 protein was associated with favorable overall survival (OS) in lymphoma patients (HR = 0.38, 95%CI: 0.30–0.48, p < 0.001). In patients with solid tumors, decreased FOXP1 expression correlated with unfavorable OS (HR = 1.82, 95%CI: 1.18–2.83, p = 0.007). However, when FOXP1 protein expression was nuclear, decreased expression was also associated with favorable OS (HR = 0.53, 95%CI: 0.32–0.86, p = 0.011). Furthermore, decreased FOXP1 expression resulted in the best OS in patients with mucosa-associated lymphoid tissue (MALT) lymphomas (HR = 0.26, 95%CI: 0.11–0.59, p = 0.001), but the worst OS was observed in non-small cell lung cancer (NSCLC) patients (HR = 3.11, 95%CI: 1.87–5.17, p < 0.001). In addition, decreased FOXP1 expression was significantly correlated with an unfavorable relapse-free survival (RFS) in breast cancer patients (HR = 1.93, 95%CI: 1.33–2.80, p = 0.001).
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Deng L, Xu-Monette ZY, Loghavi S, Manyam GC, Xia Y, Visco C, Huh J, Zhang L, Zhai Q, Wang Y, Qiu L, Dybkær K, Chiu A, Perry AM, Zhang S, Tzankov A, Rao H, Abramson J, Sohani AR, Xu M, Hsi ED, Zhu J, Ponzoni M, Wang S, Li L, Zhang M, Ferreri AJM, Parsons BM, Li Y, Piris MA, Medeiros LJ, Young KH. Primary testicular diffuse large B-cell lymphoma displays distinct clinical and biological features for treatment failure in rituximab era: a report from the International PTL Consortium. Leukemia 2015; 30:361-72. [DOI: 10.1038/leu.2015.237] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2015] [Revised: 08/15/2015] [Accepted: 08/18/2015] [Indexed: 12/15/2022]
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He M, Gao L, Zhang S, Tao L, Wang J, Yang J, Zhu M. Prognostic significance of miR-34a and its target proteins of FOXP1, p53, and BCL2 in gastric MALT lymphoma and DLBCL. Gastric Cancer 2015; 17:431-41. [PMID: 24232982 DOI: 10.1007/s10120-013-0313-3] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2013] [Accepted: 10/21/2013] [Indexed: 02/07/2023]
Abstract
BACKGROUND Mucosa-associated lymphoid tissue (MALT) lymphoma and diffuse large B-cell lymphoma (DLBCL), which are the two most common types of gastric lymphomas, have different clinicopathological features and molecular characteristics with distinct clinical outcomes. Tumor suppressor miR-34a connects the p53 network with forkhead box protein 1 (FOXP1) and BCL2. Here, we investigated the prognostic value of these molecules in gastric MALT lymphoma and DLBCL for use in routine clinical practice. METHODS Relative miR-34a expression was detected by quantitative reverse transcriptase-polymerase chain reaction in 20 cases of MALT lymphomas and 20 cases of DLBCLs. Tissue microarray, in situ hybridization, and immunohistochemistry analysis were used to examine the expression of miR-34a and its regulated genes, FOXP1, p53, and BCL2 proteins, in 64 patients with gastric MALT lymphoma and in 58 patients with DLBCL. Helicobacter pylori infection, overall survival (OS), and progression-free survival (PFS) were documented. RESULTS The expression level of miR-34a was markedly decreased in MALT lymphomas and DLBCLs compared to normal gastric tissues and peripheral blood mononuclear cells. miR-34a was present in the cytoplasm and nucleus of lymphocytes. Its expression was significantly downregulated in MALT and DLBCL lymphoma tissues, as compared with normal lymphocytes. The expression level of miR-34a in DLBCL was lower than in MALT lymphoma. FOXP1 was found to be positive in 48%, p53 in 20%, and BCL2 in 68% of MALT lymphoma cases. The corresponding positive rates of these markers in DLBCL were 64, 57, and 52%, respectively. High expression of FOXP1, p53, and BCL2 was seen in stage III and IV of both types of lymphomas. FOXP1, p53, and BCL2 positivity was associated with poor OS with both lymphoma types but OS with DLBCL was significantly lower than with MALT lymphoma. CONCLUSIONS Decreased miR-34a expression and increased FOXP1, p53, and BCL2 coexpression to predict a poor OS for MALT lymphoma and DLBCL patients could become very important prognostic markers in daily clinical work. Further investigation of these changes may be of prognostic significance in clinical practice.
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Affiliation(s)
- Miaoxia He
- Department of Pathology, Changhai Hospital, The Second Military Medical University, 168 Changhai Rd., Shanghai, 200433, China
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Flepisi BT, Bouic P, Sissolak G, Rosenkranz B. Biomarkers of HIV-associated Cancer. BIOMARKERS IN CANCER 2014; 6:11-20. [PMID: 25057241 PMCID: PMC4085100 DOI: 10.4137/bic.s15056] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/02/2014] [Revised: 04/21/2014] [Accepted: 04/23/2014] [Indexed: 12/13/2022]
Abstract
Cancer biomarkers have provided great opportunities for improving the management of cancer patients by enhancing the efficiency of early detection, diagnosis, and efficacy of treatment. Every cell type has a unique molecular signature, referred to as biomarkers, which are identifiable characteristics such as levels or activities of a myriad of genes, proteins, or other molecular features. Biomarkers can facilitate the molecular definition of cancer, provide information about the course of cancer, and predict response to chemotherapy. They offer the hope of early detection as well as tracking disease progression and recurrence. Current progress in the characterization of molecular genetics of HIV-associated cancers may form the basis for improved patient stratification and future targeted or individualized therapies. Biomarker use for cancer staging and personalization of therapy at the time of diagnosis could improve patient care. This review focuses on the relevance of biomarkers in the most common HIV-associated malignancies, namely, Kaposi sarcoma, non-Hodgkin’s lymphoma, and invasive cervical cancer.
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Affiliation(s)
- Brian Thabile Flepisi
- Division of Clinical Pharmacology, Department of Medicine, Stellenbosch University, Cape Town, South Africa
| | - Patrick Bouic
- Department of Medical Microbiology, Stellenbosch University, Cape Town, South Africa
| | - Gerhard Sissolak
- Division of Clinical Haematology, Department of Medicine, Stellenbosch University, Cape Town, South Africa
| | - Bernd Rosenkranz
- Clinical Pharmacology Division, Department of Medicine, Stellenbosch University, Cape Town, South Africa
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20
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Le Fevre AK, Taylor S, Malek NH, Horn D, Carr CW, Abdul-Rahman OA, O'Donnell S, Burgess T, Shaw M, Gecz J, Bain N, Fagan K, Hunter MF. FOXP1 mutations cause intellectual disability and a recognizable phenotype. Am J Med Genet A 2013; 161A:3166-75. [PMID: 24214399 DOI: 10.1002/ajmg.a.36174] [Citation(s) in RCA: 69] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2013] [Accepted: 07/15/2013] [Indexed: 12/19/2022]
Abstract
Mutations in FOXP1, located at 3p13, have been reported in patients with global developmental delay (GDD), intellectual disability (ID), and speech defects. Mutations in FOXP2, located at 7q31, are well known to cause developmental speech and language disorders, particularly developmental verbal dyspraxia (DVD). FOXP2 has been shown to work co-operatively with FOXP1 in mouse development. An overlap in FOXP1 and FOXP2 expression, both in the songbird and human fetal brain, has suggested that FOXP1 may also have a role in speech and language disorders. We report on a male child with a 0.19 MB intragenic deletion that is predicted to result in haploinsufficiency of FOXP1. Review of our patient and others reported in the literature reveals an emerging phenotype of GDD/ID with moderate to severe speech delay where expressive speech is most severely affected. DVD appears not to be a distinct feature in this group. Facial features include a broad forehead, downslanting palpebral fissures, a short nose with broad tip, relative or true macrocephaly, a frontal hair upsweep and prominent digit pads. Autistic traits and other behavioral problems are likely to be associated with haploinsufficiency of FOXP1. Congenital malformations may be associated.
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Affiliation(s)
- Anna K Le Fevre
- Hunter Genetics, Newcastle, NSW, Australia; John Hunter Children's Hospital, Newcastle, NSW, Australia
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Hu CR, Wang JH, Wang R, Sun Q, Chen LB. Both FOXP1 and p65 expression are adverse risk factors in diffuse large B-cell lymphoma: a retrospective study in China. Acta Histochem 2013; 115:137-43. [PMID: 22809882 DOI: 10.1016/j.acthis.2012.06.001] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2012] [Revised: 05/27/2012] [Accepted: 05/31/2012] [Indexed: 11/25/2022]
Abstract
The purpose of this study was to investigate the clinical significance of FOXP1 and p65 expression in diffuse large B-cell lymphoma (DLBCL). Immunohistochemistry was performed to determine the expression of FOXP1 and p65 protein in 92 DLBCL tissues and analyze their correlations with clinicopathological features or prognosis of patients. The survival was assessed by the Kaplan-Meier method and proportional hazards model. Results showed that positive FOXP1 expression was detected in 68 (73.9%) cases and positive p65 expression was detected in 56 (60.9%) cases. There were 46 (50.0%) co-expression of FOXP1 and p65 protein in all cases, a positive correlation between the expression of FOXP1 and p65 was noted (r=0.234, p=0.025). The status of FOXP1 was correlated with patient's age, worse performance status score, higher lactate dehydrogenase levels and International Prognostic Index (IPI) factor score. The status of p65 was correlated with patient's age, B symptom and higher IPI factor scores. Both FOXP1 and p65 protein expression were associated with the non-GCB phenotype (p=0.001 or 0.000). The Kaplan-Meier curves showed that both FOXP1 and p65 expression were associated with poor survival of patients. Meanwhile, FOXP1+/p65+ subgroup had the worst PFS (p=0.012) and OS (p=0.030), whereas the FOXP1-/p65- subgroup had the best prognosis. Thus, immunohistochemical assessment of both FOXP1 and p65 status in DLBCL tissues may be a valuable approach for predicting the survival of DLBCL patients.
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Ramsay AJ, Martínez-Trillos A, Jares P, Rodríguez D, Kwarciak A, Quesada V. Next-generation sequencing reveals the secrets of the chronic lymphocytic leukemia genome. Clin Transl Oncol 2012; 15:3-8. [PMID: 22911550 DOI: 10.1007/s12094-012-0922-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2012] [Accepted: 07/23/2012] [Indexed: 02/06/2023]
Abstract
The study of the detailed molecular history of cancer development is one of the most promising techniques to understand and fight this diverse and prevalent disease. Unfortunately, this history is as diverse as cancer itself. Therefore, even with next-generation sequencing techniques, it is not easy to distinguish significant (driver) from random (passenger) events. The International Cancer Genome Consortium (ICGC) was formed to solve this fundamental issue by coordinating the sequencing of samples from 50 different cancer types and/or sub-types that are of clinical and societal importance. The contribution of Spain in this consortium has been focused on chronic lymphocytic leukemia (CLL). This approach has unveiled new and unexpected events in the development of CLL. In this review, we introduce the approaches utilized by the consortium for the study of the CLL genome and discuss the recent results and future perspectives of this work.
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Affiliation(s)
- Andrew J Ramsay
- Departamento de Bioquímica y Biología Molecular, Instituto Universitario de Oncología, Universidad de Oviedo, Oviedo, Spain
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Diffuse large B-cell lymphoma of the orbit: clinicopathologic, immunohistochemical, and prognostic features of 20 cases. Am J Ophthalmol 2012; 154:87-98.e1. [PMID: 22503694 DOI: 10.1016/j.ajo.2012.01.021] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2011] [Revised: 01/20/2012] [Accepted: 01/23/2012] [Indexed: 11/22/2022]
Abstract
PURPOSE To evaluate a series of orbital diffuse large B-cell lymphomas (DLBCL) for prognostic features and therapeutic outcomes. DESIGN Retrospective multicenter case study of clinical and immunohistochemical features of 20 patients. METHODS Clinical, histopathologic, and immunohistochemical features were correlated with outcomes. Immunohistochemistry for biomarkers including Bcl-6, CD5, CD10, CD20, FOXP1, GCET1, and MUM1 was performed to differentiate between 2 major genetic subtypes of DLBCL: activated B-cell-like (ABC) and germinal center B-cell-like (GCB). RESULTS Sixteen patients presented with unilateral and 4 with bilateral tumors. Three had bony erosion of the orbit on imaging studies. Of 14 patients with detailed follow-ups, 3 had a prior or concurrent lymphomatous disease; 8 had stage I disease (limited to the orbit) at presentation; and 3 were newly diagnosed with systemic (stage IV) DLBCL. Localized disease was treated with combined systemic chemotherapy, including rituximab and radiation with no deaths to date; there was 1 death related to systemic DLBCL. Clinical staging was the best predictive method and no immunohistochemical feature or subcategory (ABC vs GCB) correlated with outcome. CONCLUSIONS Primary orbital DLBCL has a more favorable prognosis than systemic DLBCL and may arise from a preexistent hematolymphomatous neoplasm (4 out of 20 cases). In our series, orbital DLBCL had a 57% likelihood of being restricted to the ocular adnexa. Clinical staging was more helpful in predicting outcome than any single immunohistopathologic feature or combination of biomarkers. Orbital radiation of 30 gray in conjunction with systemic chemotherapy with rituximab can achieve disease-specific survival approaching 100% in purely localized cases.
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