1
|
Yu XH, Wu JB, Fan HY, Dai L, Xian HC, Chen BJ, Liao P, Huang MC, Pang X, Zhang M, Liang XH, Tang YL. Artemisinin suppressed tumour growth and induced vascular normalisation in oral squamous cell carcinoma via inhibition of macrophage migration inhibitory factor. Oral Dis 2024; 30:363-375. [PMID: 36321394 DOI: 10.1111/odi.14418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 09/05/2022] [Accepted: 10/26/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Tumour vascular normalisation therapy advocates a balance between pro-angiogenic factors and anti-angiogenic factors in tumours. Artemisinin (ART), which is derived from traditional Chinese medicine, has been shown to inhibit tumour growth; however, the relationship between ART and tumour vascular normalisation in oral squamous cell carcinoma (OSCC) has not been previously reported. METHODS Different concentrations(0 mg/kg, 25 mg/kg, 50 mg/kg, 100 mg/kg)of ART were used to treat the xenograft nude mice model of OSCC. The effects of ART on migration and proliferation of OSCC and human umbilical vein endothelial cells (HUVEC) cells were detected by scratch assay and CCK-8 assay. OSCC cells with macrophage migration inhibitory factor (MIF) silenced were constructed to explore the effect of MIF. RESULTS Treatment with ART inhibited the growth and angiogenesis of OSCC xenografts in nude mice and downregulated vascular endothelial growth factor (VEGF), IL-8, and MIF expression levels. ART reduced the proliferation, migration, and tube formation of HUVEC, as well as the expression of VEGFR1 and VEGFR2. When the dose of ART was 50 mg/kg, vascular normalisation of OSCC xenografts was induced. Moreover, VEGF and IL-8 were needed in rhMIF restoring tumour growth and inhibit vascular normalisation after the addition of rhMIF to ART-treated cells. CONCLUSION Artemisinin might induce vascular normalisation and inhibit tumour growth in OSCC through the MIF-signalling pathway.
Collapse
Affiliation(s)
- Xiang-Hua Yu
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral Pathology, West China Hospital of Stomatology (Sichuan University), Chengdu, China
| | - Jing-Biao Wu
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology (Sichuan University), Chengdu, China
- Department of Stomatology, North Sichuan Medical College, Nanchong, China
| | - Hua-Yang Fan
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology (Sichuan University), Chengdu, China
| | - Li Dai
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology (Sichuan University), Chengdu, China
| | - Hong-Chun Xian
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral Pathology, West China Hospital of Stomatology (Sichuan University), Chengdu, China
| | - Bing-Jun Chen
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology (Sichuan University), Chengdu, China
| | - Peng Liao
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology (Sichuan University), Chengdu, China
| | - Mei-Chang Huang
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral Pathology, West China Hospital of Stomatology (Sichuan University), Chengdu, China
| | - Xin Pang
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology (Sichuan University), Chengdu, China
| | - Mei Zhang
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology (Sichuan University), Chengdu, China
| | - Xin-Hua Liang
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral and Maxillofacial Surgery, West China Hospital of Stomatology (Sichuan University), Chengdu, China
| | - Ya-Ling Tang
- State Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Department of Oral Pathology, West China Hospital of Stomatology (Sichuan University), Chengdu, China
| |
Collapse
|
2
|
Mamilos A, Lein A, Winter L, Haas M, Reichert TE, Ettl T, Künzel J, Spanier G, Brochhausen C. Immunohistochemical Assessment of Microvessel Density in OSCC: Spatial Heterogeneity of Angiogenesis and Its Impact on Survival. Biomedicines 2023; 11:2724. [PMID: 37893098 PMCID: PMC10604174 DOI: 10.3390/biomedicines11102724] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 09/30/2023] [Accepted: 10/02/2023] [Indexed: 10/29/2023] Open
Abstract
(1) Background Oral squamous cell carcinomas (OSCC) are a common malignancy of the oral cavity and are often diagnosed when they have already spread to the regional lymph nodes. Advanced stages of cancer are characterized by the development of distant metastases. Angiogenesis, a hallmark of cancer, is known to contribute to cancer progression and metastasis. High microvessel density (MVD) has been linked to poor clinical outcomes in various types of cancer. (2) Methods: In this study, we aimed to investigate the spatial heterogeneity of blood vessels by comparing the tumor center and invasion front and to evaluate its prognostic value in OSCC. A total of 71 OSCC patient specimens were collected. The tissue was immunohistochemically stained using CD31 antibody to assess the MVD in the tumor center and the invasion front. Furthermore, the associations between the histopathological parameters, including MVD, disease-free survival (DFS), and overall survival (OS) were computed. (3) Results: In our study, we found a significantly higher presence of blood vessels at the invasion front of OSCCs compared to the tumor center. However, we did not observe any significant differences in MVD between different tumor stages. High intratumoral MVD was shown to be a positive prognostic factor for DFS (p = 0.047). (4) Conclusions: To the best of our knowledge, we were the first to analyze MVD as a prognostic factor by considering its spatial heterogeneity in OSCC. However, further studies are warranted to further elucidate the complexity of microvascular spatial heterogeneity and its influence on prognosis.
Collapse
Affiliation(s)
- Andreas Mamilos
- Institute of Pathology, University of Regensburg, 93053 Regensburg, Germany
- Central Biobank Regensburg, University and University Hospital Regensburg, 93053 Regensburg, Germany
- Department of Pathology, German Oncology Center, 4108 Limassol, Cyprus
| | - Alexander Lein
- Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, 1090 Vienna, Austria
| | - Lina Winter
- Institute of Pathology, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| | - Markus Haas
- Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, 1090 Vienna, Austria
| | - Torsten E. Reichert
- Department of Oral and Maxillofacial Surgery, University Hospital Regensburg, 93053 Regensburg, Germany
| | - Tobias Ettl
- Department of Oral and Maxillofacial Surgery, University Hospital Regensburg, 93053 Regensburg, Germany
| | - Julian Künzel
- Department of Otorhinolaryngology, University Hospital Regensburg, 93053 Regensburg, Germany
| | - Gerrit Spanier
- Department of Oral and Maxillofacial Surgery, University Hospital Regensburg, 93053 Regensburg, Germany
| | - Christoph Brochhausen
- Institute of Pathology, University of Regensburg, 93053 Regensburg, Germany
- Institute of Pathology, Medical Faculty Mannheim, Heidelberg University, 68167 Mannheim, Germany
| |
Collapse
|
3
|
Alessandrini L, Astolfi L, Daloiso A, Sbaraglia M, Mondello T, Zanoletti E, Franz L, Marioni G. Diagnostic, Prognostic, and Therapeutic Role for Angiogenesis Markers in Head and Neck Squamous Cell Carcinoma: A Narrative Review. Int J Mol Sci 2023; 24:10733. [PMID: 37445908 DOI: 10.3390/ijms241310733] [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: 04/23/2023] [Revised: 06/14/2023] [Accepted: 06/25/2023] [Indexed: 07/15/2023] Open
Abstract
Despite refinements to diagnostic and therapeutic approaches over the last two decades, the outcome of patients with head and neck squamous cell carcinoma (HNSCC) has not shown substantial improvements, especially regarding those with advanced-stage disease. Angiogenesis is believed to be a turning point in the development of solid tumors, being a premise for mass growth and potential distant dissemination. Cancer-induced angiogenesis is a result of increased expression of angiogenic factors, decreased expression of anti-angiogenic factors, or a combination of both. The assessment of angiogenesis has also emerged as a potentially useful biological prognostic and predictive factor in HNSCC. The aim of this review is to assess the level of current knowledge on the neo-angiogenesis markers involved in the biology, behavior, and prognosis of HNSCC. A search (between 1 January 2012 and 10 October 2022) was run in PubMed, Scopus, and Web of Science electronic databases. After full-text screening and application of inclusion/exclusion criteria, 84 articles are included. The current knowledge and debate on angiogenesis in HNSCC presented in the eligible articles are stratified as follows: (i) diagnostic markers; (ii) prognostic markers; (iii) predictive markers; and (iv) markers with a potential therapeutic role. Angiogenesis is a biological and pathological indicator of malignancies progression and has negative implications in prognosis of some solid tumors; several signals capable of tripping the "angiogenic switch" have also been identified in HNSCC. Although several studies suggested that antiangiogenic agents might be a valuable adjunct to conventional chemo-radiation of HNSCC, their long-term therapeutic value remains uncertain. Further investigations are required on combinations of antiangiogenic agents with conventional chemotherapeutic ones, immunotherapeutic and molecularly targeted agents in HNSCC. Additional data are necessary to pinpoint which patients could benefit most from these treatments.
Collapse
Affiliation(s)
- Lara Alessandrini
- Surgical Pathology and Cytopathology Unit, Department of Medicine (DIMED), University of Padova, 35100 Padova, Italy
| | - Laura Astolfi
- Bioacustic Research Laboratory, Department of Neuroscience (DNS), University of Padova, 35100 Padova, Italy
| | - Antonio Daloiso
- Otolaryngology Section, Department of Neuroscience (DNS), University of Padova, 35100 Padova, Italy
| | - Marta Sbaraglia
- Surgical Pathology and Cytopathology Unit, Department of Medicine (DIMED), University of Padova, 35100 Padova, Italy
| | - Tiziana Mondello
- Otolaryngology Section, Department of Neuroscience (DNS), University of Padova, 35100 Padova, Italy
| | - Elisabetta Zanoletti
- Otolaryngology Section, Department of Neuroscience (DNS), University of Padova, 35100 Padova, Italy
| | - Leonardo Franz
- Otolaryngology Section, Department of Neuroscience (DNS), University of Padova, 35100 Padova, Italy
- Phoniatrics and Audiology Unit, Department of Neuroscience (DNS), University of Padova, 31100 Treviso, Italy
- Artificial Intelligence in Medicine and Innovation in Clinical Research and Methodology (PhD Program), Department of Clinical and Experimental Sciences, University of Brescia, 25100 Brescia, Italy
| | - Gino Marioni
- Phoniatrics and Audiology Unit, Department of Neuroscience (DNS), University of Padova, 31100 Treviso, Italy
| |
Collapse
|
4
|
Xu H, Wang A, Zhang C, Ren J, Zhou P, Liu J. Intra- and peritumoral MRI radiomics assisted in predicting radiochemotherapy response in metastatic cervical lymph nodes of nasopharyngeal cancer. BMC Med Imaging 2023; 23:66. [PMID: 37254101 DOI: 10.1186/s12880-023-01026-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Accepted: 05/23/2023] [Indexed: 06/01/2023] Open
Abstract
BACKGROUND To establish and validate radiomic models combining intratumoral (Intra) and peritumoral (Peri) features obtained from pretreatment MRI for the prediction of treatment response of lymph node metastasis from nasopharyngeal cancer (NPC). METHODS One hundred forty-five NPC patients (102 in the training and 43 in the validation set) were retrospectively enrolled. Radiomic features were extracted from Intra and Peri regions on the metastatic cervical lymph node, and selected with the least absolute shrinkage and selection operator (LASSO). Multivariate logistic regression analysis was applied to build radiomic models. Sensitivity, specificity, accuracy, and the area under the curve (AUC) of receiver operating characteristics were employed to evaluate the predictive power of each model. RESULTS The AUCs of the radiomic model of Intra, Peri, Intra + Peri, and Clinical-radiomic were 0.910, 0.887, 0.934, and 0.941, respectively, in the training set and 0.737, 0.794, 0.774, and 0.783, respectively, in the validation set. There were no significant differences in prediction performance among the radiomic models in the training and validation sets (all P > 0.05). The calibration curve of the radiomic model of Peri demonstrated good agreement between prediction and observation in the training and validation sets. CONCLUSIONS The pretreatment MRI-based radiomics model may be useful in predicting the treatment response of metastatic lymph nodes of NPC. Besides, the generalization ability of the radiomic model of Peri was better than that of Intra and Intra + Peri.
Collapse
Affiliation(s)
- Hao Xu
- Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Ai Wang
- Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Chi Zhang
- Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Jing Ren
- Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China
| | - Peng Zhou
- Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
| | - Jieke Liu
- Department of Radiology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
| |
Collapse
|
5
|
do Valle IB, Oliveira SR, da Silva JM, Peterle GT, Có ACG, Sousa-Neto SS, Mendonça EF, de Arruda JAA, Gomes NA, da Silva G, Leopoldino AM, Macari S, Birbrair A, von Zeidler SV, Diniz IMA, Silva TA. The participation of tumor residing pericytes in oral squamous cell carcinoma. Sci Rep 2023; 13:5460. [PMID: 37015965 PMCID: PMC10073133 DOI: 10.1038/s41598-023-32528-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Accepted: 03/29/2023] [Indexed: 04/06/2023] Open
Abstract
Pericytes are perivascular cells related to vessel structure and angiogenesis that can interact with neoplastic cells, interfering with cancer progression and outcomes. This study focused on the characterization of pericytes in oral squamous cell carcinoma (OSCC) using clinical samples and a transgenic mouse model of oral carcinogenesis. Nestin-/NG2+ (type-1) and nestin+/NG2+ (type-2) pericytes were analyzed by direct fluorescence after induction of oral carcinogenesis (4-nitroquinoline-1-oxide). Gene expression of neuron glial antigen-2 (NG2), platelet-derived growth factor receptor beta (PDGFR-β), and cluster of differentiation 31 (CD31) was examined in human OSCC tissues. The protein expression of von Willebrand factor and NG2 was assessed in oral leukoplakia (i.e., oral potentially malignant disorders) and OSCC samples. Additionally, clinicopathological aspects and survival data were correlated and validated by bioinformatics using The Cancer Genome Atlas (TCGA). Induction of carcinogenesis in mice produced an increase in both NG2+ pericyte subsets. In human OSCC, advanced-stage tumors showed a significant reduction in CD31 mRNA and von Willebrand factor-positive vessels. Low PDGFR-β expression was related to a shorter disease-free survival time, while NG2 mRNA overexpression was associated with a reduction in overall survival, consistent with the TCGA data. Herein, oral carcinogenesis resulted in an increase in NG2+ pericytes, which negatively affected survival outcomes.
Collapse
Affiliation(s)
- Isabella Bittencourt do Valle
- Department of Oral Surgery, Pathology and Clinical Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, room 3105, Belo Horizonte, Minas Gerais, CEP: 31.270-901, Brazil
| | - Sicília Rezende Oliveira
- Department of Oral Surgery, Pathology and Clinical Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, room 3105, Belo Horizonte, Minas Gerais, CEP: 31.270-901, Brazil
| | - Janine Mayra da Silva
- Department of Oral Surgery, Pathology and Clinical Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, room 3105, Belo Horizonte, Minas Gerais, CEP: 31.270-901, Brazil
| | - Gabriela Tonini Peterle
- Biotechnology Post-graduation Program, Centro de Ciências da Saúde, Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Anna Clara Gregório Có
- Biotechnology Post-graduation Program, Centro de Ciências da Saúde, Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Sebastião Silvério Sousa-Neto
- Department of Stomatology (Oral Pathology), School of Dentistry, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - Elismauro Francisco Mendonça
- Department of Stomatology (Oral Pathology), School of Dentistry, Universidade Federal de Goiás, Goiânia, Goiás, Brazil
| | - José Alcides Almeida de Arruda
- Department of Oral Surgery, Pathology and Clinical Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, room 3105, Belo Horizonte, Minas Gerais, CEP: 31.270-901, Brazil
| | - Natália Aparecida Gomes
- Department of Restorative Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Gabriel da Silva
- Department of Clinical Analysis, Toxicology and Food Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, Universidade de São Paulo, São Paulo, Brazil
| | - Andréia Machado Leopoldino
- Department of Clinical Analysis, Toxicology and Food Sciences, School of Pharmaceutical Sciences of Ribeirão Preto, Universidade de São Paulo, São Paulo, Brazil
| | - Soraia Macari
- Department of Restorative Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Alexander Birbrair
- Department of Pathology, Institute of Biological Sciences, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Sandra Ventorin von Zeidler
- Biotechnology Post-graduation Program, Centro de Ciências da Saúde, Universidade Federal do Espírito Santo, Vitória, Espírito Santo, Brazil
| | - Ivana Márcia Alves Diniz
- Department of Restorative Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Tarcília Aparecida Silva
- Department of Oral Surgery, Pathology and Clinical Dentistry, School of Dentistry, Universidade Federal de Minas Gerais, Av. Antônio Carlos, 6627, room 3105, Belo Horizonte, Minas Gerais, CEP: 31.270-901, Brazil.
| |
Collapse
|
6
|
Cai C, Lv W, Chi F, Zhang B, Zhu L, Yang G, Zhao S, Zhu Y, Han X, Dai Z, Wang X, Lu L. Prognostic generalization of multi-level CT-dose fusion dosiomics from primary tumor and lymph node in nasopharyngeal carcinoma. Med Phys 2023; 50:922-934. [PMID: 36317870 DOI: 10.1002/mp.16044] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 09/13/2022] [Accepted: 09/24/2022] [Indexed: 11/12/2022] Open
Abstract
PURPOSE To investigate the prognostic performance of multi-level computed tomography (CT)-dose fusion dosiomics at the image-, matrix-, and feature-levels from the gross tumor volume (GTV) at nasopharynx and the involved lymph node for nasopharyngeal carcinoma (NPC) patients. METHODS Two hundred and nineteen NPC patients (175 vs. 44 for training vs. internal validation) were used to train prediction model, and 32 NPC patients were used for external validation. We first extracted CT and dose information from intratumoral nasopharynx (GTV_nx) and lymph node (GTV_nd) regions. Then, the corresponding peritumoral regions (RING_3 mm and RING_5 mm) were also considered. Thus, the individual and combination of intratumoral and peritumoral regions were as follows: GTV_nx, GTV_nd, RING_3 mm_nx, RING_3 mm_nd, RING_5 mm_nx, RING_5 mm_nd, GTV_nxnd, RING_3 mm_nxnd, RING_5 mm_nxnd, GTV + RING_3 mm_nxnd, and GTV + RING_5 mm_nxnd. For each region, 11 models were built by combining five clinical parameters and 127 features from: (1) dose images alone; (2-7) fused dose and CT images via wavelet-based fusion using CT weights of 0.2, 0.4, 0.6, and 0.8, gradient transfer fusion, and guided-filtering-based fusion (GFF); (8) fused matrices (sumMat); (9-10) fused features derived via feature averaging (avgFea) and feature concatenation (conFea); and finally, (11) CT images alone. The concordance index (C-index) and Kaplan-Meier curves with log-rank test were used to assess model performance. RESULTS The fusion models' performance was better than single CT/dose model on both internal and external validation. Models that combined the information from both GTV_nx and GTV_nd regions outperformed the single region model. For internal validation, GTV + RING_3 mm_nxnd GFF model achieved the highest C-index both in recurrence-free survival (RFS) and metastasis-free survival (MFS) predictions (RFS: 0.822; MFS: 0.786). The highest C-index in external validation set was achieved by RING_3 mm_nxnd model (RFS: 0.762; MFS: 0.719). The GTV + RING_3 mm_nxnd GFF model is able to significantly separate patients into high-risk and low-risk groups compared to dose-only or CT-only models. CONCLUSION Fusion dosiomics model combining the primary tumor, the involved lymph node, and 3 mm peritumoral information outperformed single-modality models for different outcome predictions, which is helpful for clinical decision-making and the development of personalized treatment.
Collapse
Affiliation(s)
- Chunya Cai
- School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
- Department of Radiotherapy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Wenbing Lv
- Department of Electronic Engineering, Information School, Yunnan University, Kunming, Yunnan, China
| | - Feng Chi
- Department of Radiation Oncology, Sun Yat-Sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China
| | - Bailin Zhang
- Department of Radiotherapy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Lin Zhu
- Department of Radiotherapy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Geng Yang
- Department of Radiotherapy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Shiwu Zhao
- Department of Radiotherapy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Yuanhu Zhu
- Department of Radiotherapy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Xu Han
- School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
| | - Zhenhui Dai
- Department of Radiotherapy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Xuetao Wang
- Department of Radiotherapy, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China
| | - Lijun Lu
- School of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong, China
- Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong, China
- Pazhou Lab, Guangzhou, China
| |
Collapse
|
7
|
Yang F, Zhou LQ, Yang HW, Wang YJ. Nine-gene signature and nomogram for predicting survival in patients with head and neck squamous cell carcinoma. Front Genet 2022; 13:927614. [PMID: 36092911 PMCID: PMC9449318 DOI: 10.3389/fgene.2022.927614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 07/25/2022] [Indexed: 12/24/2022] Open
Abstract
Background: Head and neck squamous cell carcinomas (HNSCCs) are derived from the mucosal linings of the upper aerodigestive tract, salivary glands, thyroid, oropharynx, larynx, and hypopharynx. The present study aimed to identify the novel genes and pathways underlying HNSCC. Despite the advances in HNSCC research, diagnosis, and treatment, its incidence continues to rise, and the mortality of advanced HNSCC is expected to increase by 50%. Therefore, there is an urgent need for effective biomarkers to predict HNSCC patients’ prognosis and provide guidance to the personalized treatment.Methods: Both HNSCC clinical and gene expression data were abstracted from The Cancer Genome Atlas (TCGA) database. Intersecting analysis was adopted between the gene expression matrix of HNSCC patients from TCGA database to extract TME-related genes. Differential gene expression analysis between HNSCC tissue samples and normal tissue samples was performed by R software. Then, HNSCC patients were categorized into clusters 1 and 2 via NMF. Next, TME-related prognosis genes (p < 0.05) were analyzed by univariate Cox regression analysis, LASSO Cox regression analysis, and multivariate Cox regression analysis. Finally, nine genes were selected to construct a prognostic risk model and a prognostic gene signature. We also established a nomogram using relevant clinical parameters and a risk score. The Kaplan–Meier curve, survival analysis, time-dependent receiver operating characteristic (ROC) analysis, decision curve analysis (DCA), and the concordance index (C-index) were carried out to assess the accuracy of the prognostic risk model and nomogram. Potential molecular mechanisms were revealed by gene set enrichment analysis (GSEA). Additionally, gene correlation analysis and immune cell correlation analysis were conducted for further enriching our results.Results: A novel HNSCC prognostic model was established based on the nine genes (GTSE1, LRRN4CL, CRYAB, SHOX2, ASNS, KRT23, ANGPT2, HOXA9, and CARD11). The value of area under the ROC curves (AUCs) (0.769, 0.841, and 0.816) in TCGA whole set showed that the model effectively predicted the 1-, 3-, and 5-year overall survival (OS). Results of the Cox regression assessment confirmed the nine-gene signature as a reliable independent prognostic factor in HNSCC patients. The prognostic nomogram developed using multivariate Cox regression analysis showed a superior C-index over other clinical signatures. Also, the calibration curve had a high level of concordance between estimated OS and the observed OS. This showed that its clinical net can precisely estimate the one-, three-, and five-year OS in HNSCC patients. The gene set enrichment analysis (GSEA) to some extent revealed the immune- and tumor-linked cascades.Conclusion: In conclusion, the TME-related nine-gene signature and nomogram can effectively improve the estimation of prognosis in patients with HNSCC.
Collapse
|
8
|
Yang C, Chen C, Xiao Q, Wang X, Shou Y, Tian X, Wang S, Li H, Liang Y, Shu J, Chen K, Sun M. Relationship Between PTEN and Angiogenesis of Esophageal Squamous Cell Carcinoma and the Underlying Mechanism. Front Oncol 2021; 11:739297. [PMID: 34796109 PMCID: PMC8593196 DOI: 10.3389/fonc.2021.739297] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 10/19/2021] [Indexed: 11/13/2022] Open
Abstract
Esophageal squamous cell carcinoma (ESCC) has high morbidity and mortality rates owing to its ability to infiltrate and metastasize. Microvessels formed in early-stage ESCC promote metastasis. Phosphatase and tensin homolog (PTEN) mediates macrophage polarization, but its effect and mechanism on early ESCC angiogenesis are unclear. To explore the molecular mechanism underlying early ESCC metastasis through blood vessels, we investigated the relationship between PTEN/phosphoinositide 3-kinase (PI3K)/p-AKT protein levels, number of infiltrated macrophages, and angiogenesis in ESCC and ESCC-adjacent normal esophageal mucosa tissues from 49 patients. Additionally, PTEN was overexpressed or silenced in the esophageal cancer cell line EC9706, and its supernatant served as conditioning medium for M1 tumor-associated macrophages (TAMs). The culture medium of macrophages served as conditioning medium for esophageal tumor-associated vascular endothelial cells (TECs) to study the biological behavior of PTEN-plasmid, PTEN-siRNA, and control TECs. We found that M1 TAM infiltration in ESCC tissues was low, whereas M2 TAM infiltration was high. Microvessel density was large, PTEN was down-regulated, and the PI3K/AKT pathway was activated in ESCC specimens. These parameters significantly related to the depth of tumor invasion, lymph node metastasis, and pathological staging of ESCC. Silencing of PTEN in EC9706 cells significantly activated the PI3K/AKT signaling pathway in macrophages, promoting M1-to-M2 TAM polarization and enhancing TECs’ ability to proliferate, migrate, invade, form tubes, and secrete vascular endothelial growth factor. We believe that PTEN silencing in esophageal cancer cells activates the PI3K/AKT signaling pathway in macrophages via the tumor microenvironment, induces M2 TAM polarization, and enhances the malignant behavior of TECs, thereby promoting ESCC angiogenesis. Our findings lay an empirical foundation for the development of novel diagnostic and therapeutic strategies for ESCC.
Collapse
Affiliation(s)
- Chenbo Yang
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Key Laboratory of Tumor Pathology, Zhengzhou University, Zhengzhou, China
| | - Chao Chen
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Key Laboratory of Tumor Pathology, Zhengzhou University, Zhengzhou, China
| | - Qiankun Xiao
- Henan Key Laboratory of Tumor Pathology, Zhengzhou University, Zhengzhou, China
| | - Xiaoqian Wang
- Henan Key Laboratory of Tumor Pathology, Zhengzhou University, Zhengzhou, China
| | - Yuwei Shou
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Key Laboratory of Tumor Pathology, Zhengzhou University, Zhengzhou, China
| | - Xiangyu Tian
- Henan Key Laboratory of Tumor Pathology, Zhengzhou University, Zhengzhou, China
| | - Shuaiyuan Wang
- Henan Key Laboratory of Tumor Pathology, Zhengzhou University, Zhengzhou, China
| | - Hui Li
- Henan Key Laboratory of Tumor Pathology, Zhengzhou University, Zhengzhou, China
| | - Yinghao Liang
- Henan Key Laboratory of Tumor Pathology, Zhengzhou University, Zhengzhou, China
| | - Jiao Shu
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Key Laboratory of Tumor Pathology, Zhengzhou University, Zhengzhou, China
| | - Kuisheng Chen
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Key Laboratory of Tumor Pathology, Zhengzhou University, Zhengzhou, China
| | - Miaomiao Sun
- Department of Pathology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.,Henan Key Laboratory of Tumor Pathology, Zhengzhou University, Zhengzhou, China
| |
Collapse
|
9
|
Shen Y, Li L, Lu Y, Zhang M, Huang X, Tang X. Establishment and Validation of a Comprehensive Prognostic Model for Patients With HNSCC Metastasis. Front Genet 2021; 12:685104. [PMID: 34322156 PMCID: PMC8312248 DOI: 10.3389/fgene.2021.685104] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Accepted: 06/21/2021] [Indexed: 12/24/2022] Open
Abstract
Objective To identify biomarkers related to head and neck squamous cell carcinoma (HNSCC) metastasis and establish a prognostic model for patients with HNSCC. Methods HNSCC mRNA expression data of metastasis and non-metastatic samples were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. After screening the differentially expressed genes (DEGs) in the two datasets, a prognostic model, including clinical factors and biomarkers, was established, and verified in 36 samples of HNSCC by quantitative real-time transcription (qRT)-PCR. Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene sets enrichment analysis (GSEA) were consulted to explore the functions of the DEGs. Results In total, 108 DEGs were identified. GSEA, GO, and KEGG analyses showed that these DEGs were mainly involved in the proliferation and metastasis of HNSCC. Six genes that were significantly related to metastasis, immune cell infiltration and prognosis were further identified to construct a prognostic gene signature. The reliability of the gene signature was verified in 36 samples of HNSCC. A prognostic model, including tumor stage, risk level, and a nomogram for prediction were further established. Receiver operating characteristic (ROC) analysis, decision curve analysis (DCA), C-index, and calibration plots showed that the model and nomogram perform well. Conclusion We constructed a six-gene signature and a nomogram with high performance in predicting the prognosis of patients with HNSCC metastasis.
Collapse
Affiliation(s)
- Yajun Shen
- Division of Oral Pathology, Beijing Institute of Dental Research, Beijing Stomatological Hospital, Capital Medical University, Beijing, China
| | - Lingyu Li
- Division of Oral Pathology, Beijing Institute of Dental Research, Beijing Stomatological Hospital, Capital Medical University, Beijing, China
| | - Yunping Lu
- Division of Oral Pathology, Beijing Institute of Dental Research, Beijing Stomatological Hospital, Capital Medical University, Beijing, China
| | - Min Zhang
- Division of Oral Pathology, Beijing Institute of Dental Research, Beijing Stomatological Hospital, Capital Medical University, Beijing, China
| | - Xin Huang
- Department of Oral and Maxillofacial Surgery, Beijing Stomatological Hospital, Capital Medical University, Beijing, China
| | - Xiaofei Tang
- Division of Oral Pathology, Beijing Institute of Dental Research, Beijing Stomatological Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
10
|
Yan J, Liang J, Cao Y, El Akkawi MM, Liao X, Chen X, Li C, Li K, Xie G, Liu H. Efficacy of topical and systemic transplantation of mesenchymal stem cells in a rat model of diabetic ischemic wounds. Stem Cell Res Ther 2021; 12:220. [PMID: 33789742 PMCID: PMC8010295 DOI: 10.1186/s13287-021-02288-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Accepted: 03/15/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Mesenchymal stem cells (MSCs) exert positive effects in chronic wounds. However, critical parameters, such as the most effective administration routes, remain unclear. Accordingly, the purpose of this study was to compare the effects of topical and systemic transplantation MSCs on diabetic ischemic wound healing and explored the underlying mechanisms. METHOD A diabetic ischemic wound model was created on the dorsal foot of type 2 diabetes mellitus (T2DM) rat. Bone marrow-derived mesenchymal stem cells (BM-MSCs) were administered via two routes: topical injection and intravenous (IV) infusion. Wound healing outcomes and blood glucose level were assessed dynamically. Meanwhile, blood flow recovery was evaluated in ischemic gastrocnemius muscles. The homing and transdifferentiation of mKate2-labeled BM-MSCs were assessed by fluorescence imaging and immunohistochemistry (IHC) analysis. RESULT Both topical and systemic treatments had a positive effect on the diabetic ischemic wound showing a significant reduction in wound area at day 14. Histological results showed an increase in the length of epithelial edges, collagen content, microvessel density in the wound bed, and a higher expression of vascular endothelial growth factor (VEGF). Meanwhile, systemic administration can ameliorate hyperglycemia and improve the blood perfusion of the ischemic hindlimb. BM-MSCs administered systemically were found distributed in wounded tissue and transdifferentiated into endothelial cells. Furthermore, BM-MSCs stimulated angiogenesis at wound sites by downregulating phosphatase and tensin homolog (PTEN) and activation of AKT signaling pathway. CONCLUSIONS The results demonstrated that both transplantation delivery method (topical and systemic) of BM-MSCs accelerated wound healing remarkably under pathological conditions. Nevertheless, systemic administration has the potential to ameliorate hyperglycemia and repair the damaged tissue.
Collapse
Affiliation(s)
- Jianxin Yan
- Department of Plastic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510630 People’s Republic of China
- Innovative Technology Research Institute of Plastic Surgery, Guangzhou, 510630 People’s Republic of China
- Key Laboratory of Regenerative Medicine, Ministry of Education, Guangzhou, 510632 People’s Republic of China
| | - Jiaji Liang
- Department of Plastic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510630 People’s Republic of China
- Innovative Technology Research Institute of Plastic Surgery, Guangzhou, 510630 People’s Republic of China
- Key Laboratory of Regenerative Medicine, Ministry of Education, Guangzhou, 510632 People’s Republic of China
| | - Yingxuan Cao
- Department of Plastic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510630 People’s Republic of China
- Innovative Technology Research Institute of Plastic Surgery, Guangzhou, 510630 People’s Republic of China
- Key Laboratory of Regenerative Medicine, Ministry of Education, Guangzhou, 510632 People’s Republic of China
| | - Mariya M. El Akkawi
- Department of Plastic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510630 People’s Republic of China
- Innovative Technology Research Institute of Plastic Surgery, Guangzhou, 510630 People’s Republic of China
- Key Laboratory of Regenerative Medicine, Ministry of Education, Guangzhou, 510632 People’s Republic of China
| | - Xuan Liao
- Department of Plastic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510630 People’s Republic of China
- Innovative Technology Research Institute of Plastic Surgery, Guangzhou, 510630 People’s Republic of China
- Key Laboratory of Regenerative Medicine, Ministry of Education, Guangzhou, 510632 People’s Republic of China
| | - Xiaojia Chen
- Department of Cell Biology & Institute of Biomedicine, College of Life Science and Technology, Jinan University, Guangzhou, 510632 People’s Republic of China
- Guangdong Province Key Laboratory of Bioengineering Medicine, Guangzhou, 510632 People’s Republic of China
- Guangdong Provincial Biotechnology Drug & Engineering Technology Research Center, Guangzhou, 510632 People’s Republic of China
- National Engineering Research Center of Genetic Medicine, Guangzhou, 510632 People’s Republic of China
| | - Chengzhi Li
- Department of Interventional Radiology and Vascular Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510630 People’s Republic of China
| | - Kecheng Li
- Department of Plastic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510630 People’s Republic of China
- Innovative Technology Research Institute of Plastic Surgery, Guangzhou, 510630 People’s Republic of China
- Key Laboratory of Regenerative Medicine, Ministry of Education, Guangzhou, 510632 People’s Republic of China
| | - Guanghui Xie
- Department of Plastic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510630 People’s Republic of China
- Innovative Technology Research Institute of Plastic Surgery, Guangzhou, 510630 People’s Republic of China
- Key Laboratory of Regenerative Medicine, Ministry of Education, Guangzhou, 510632 People’s Republic of China
| | - Hongwei Liu
- Department of Plastic Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, 510630 People’s Republic of China
- Innovative Technology Research Institute of Plastic Surgery, Guangzhou, 510630 People’s Republic of China
- Key Laboratory of Regenerative Medicine, Ministry of Education, Guangzhou, 510632 People’s Republic of China
| |
Collapse
|
11
|
Wu X, Dong D, Zhang L, Fang M, Zhu Y, He B, Ye Z, Zhang M, Zhang S, Tian J. Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study. Med Phys 2021; 48:2374-2385. [PMID: 33580497 DOI: 10.1002/mp.14767] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 01/06/2021] [Accepted: 02/04/2021] [Indexed: 12/18/2022] Open
Abstract
PURPOSE The present study assessed the predictive value of peritumoral regions on three tumor tasks, and further explored the influence of peritumors with different sizes. METHODS We retrospectively collected 333 samples of gastrointestinal stromal tumors from the Second Affiliated Hospital of Zhejiang University School of Medicine, and 183 samples of gastrointestinal stromal tumors from Tianjin Medical University Cancer Hospital. We also collected 211 samples of laryngeal carcinoma and 233 samples of nasopharyngeal carcinoma from the First Affiliated Hospital of Jinan University. The tasks of three tumor datasets were risk assessment (gastrointestinal stromal tumor), T3/T4 staging prediction (laryngeal carcinoma), and distant metastasis prediction (nasopharyngeal carcinoma), respectively. First, deep learning and radiomics were respectively used to construct peritumoral models, to study whether the peritumor had predictive value on three tumor datasets. Furthermore, we defined different sizes peritumors including fixed size (not considering tumor size) and adaptive size (according to average tumor radius) to explore the influence of peritumor of different sizes and types of tumors. Finally, we visualized the deep learning and radiomic models to observe the influence of the peritumor in three datasets. RESULTS The performance of intra-peritumors are better than intratumors alone in three datasets. Specifically, the comparisons of area under receiver operating characteristic curve in the testing set between intra-peritumoral and intratumoral models are: 0.908 vs 0.873 (P value: 0.037) in gastrointestinal stromal tumor datasets, 0.796 vs 0.756 (P value: 0.188) in laryngeal carcinoma datasets and 0.660 vs 0.579 (P value: 0.431) in nasopharyngeal carcinoma datasets. Furthermore, for gastrointestinal stromal tumor datasets, deep learning is more stable to learn peritumors with both fixed and adaptive size than radiomics. For laryngeal carcinoma datasets, the intra-peritumoral radiomic model could make model performance more balanced. For nasopharyngeal carcinoma datasets, radiomics is also more suitable for modeling peritumors than deep learning. The size of the peritumor is critical in this task, and only the performance of 1.5 mm-4.5 mm peritumors is stable. CONCLUSIONS Our results indicate that peritumors have additional predictive value in three tumor datasets through deep learning or radiomics. The definitions of the peritumoral region and artificial intelligence method also have great influence on the performance of the peritumor.
Collapse
Affiliation(s)
- Xiangjun Wu
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.,CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Di Dong
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.,CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Lu Zhang
- Department of Radiology, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Mengjie Fang
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.,CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Yongbei Zhu
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.,CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Bingxi He
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.,CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
| | - Zhaoxiang Ye
- Department of Radiology, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Minming Zhang
- Department of Radiology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shuixing Zhang
- Department of Radiology, The First Affiliated Hospital, Jinan University, Guangzhou, China
| | - Jie Tian
- CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine and Engineering, Beihang University, Beijing, China
| |
Collapse
|
12
|
Prognostic value of lymphatic vessel density in oral squamous cell carcinoma. Life Sci 2020; 265:118746. [PMID: 33181177 DOI: 10.1016/j.lfs.2020.118746] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Revised: 11/05/2020] [Accepted: 11/06/2020] [Indexed: 12/11/2022]
Abstract
AIMS Lymphatic vessel density (LVD) for the evaluation of tumor metastasis and prognosis remains controversial. The aim of this study was to elucidate the association between tumor cells and lymphatic vessels, and evaluate LVD in oral squamous cell carcinoma (OSCC). MAIN METHODS 128 OSCC cases were used to determine the expression of lymphatic vessel endothelial hyaluronan receptor 1 (LYVE-1) and vascular endothelial growth factor C (VEGF-C). Mann-Whitney or Kruskal-Wallis tests were employed to analyze the association between clinicopathological data and intratumoral LVD (ILVD), peritumoral LVD (PLVD), and VEGF-C; comparisons between ILVD and PLVD were made with t-test. Correlations between LVD and VEGF-C were analyzed by Spearman's correlation coefficient. Disease-specific survival curves were obtained with Kaplan-Meier method and compared using the log-rank test. Cox multiple regression was used to clarify the independent effect of clinicopathological data on clinical outcome. KEY FINDINGS Tumor tissues were positively stained with LYVE-1 and VEGF-C. Both tumor metastasis and recurrence were associated with ILVD. A significant association between ILVD and VEGF-C expression was observed (P < 0.05). A significant association between high ILVD and poor disease-specific survival was observed (P < 0.05). SIGNIFICANCE This study showed that ILVD was significantly associated with increased lymphatic metastasis, tumor recurrence, and reduced disease-specific survival in patients with OSCC. ILVD could be an indicator to predict the prognosis of OSCC.
Collapse
|
13
|
Prognostic Value of Microvessel Density in Head and Neck Squamous Cell Carcinoma: A Meta-Analysis. DISEASE MARKERS 2020; 2020:8842795. [PMID: 33062071 PMCID: PMC7539077 DOI: 10.1155/2020/8842795] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 08/14/2020] [Accepted: 09/02/2020] [Indexed: 02/05/2023]
Abstract
The prognostic value of microvessel density (MVD) in head and neck squamous cell carcinoma (HNSCC) remains disputable. The purpose of this study was to comprehensively determine the prognostic value of MVD in HNSCC. Relevant literatures were identified using PubMed, Embase, and Cochrane Library. A meta-analysis was performed to clarify the prognostic role of MVD in HNSCC patients and different subgroups. A total of 14 eligible articles were included in this meta-analysis. The combined hazard ratio (HR) and 95% confidence interval (95% CI) for overall survival (OS) of 11 studies was 1.663 (1.236-2.237, P = 0.001), and the pooled HR and 95% CI for progression-free survival (PFS) of 7 studies was 2.069 (1.281-3.343, P = 0.003). Subgroup analyses were also performed on different issues, such as regional distribution of patients, age, tumor location, antibody, and treatment strategy. To conclude, high MVD is associated with worse OS and PFS in patients with HNSCC.
Collapse
|
14
|
Nuclear Magnetic Resonance Metabolomics Biomarkers for Identifying High Risk Patients with Extranodal Extension in Oral Squamous Cell Carcinoma. J Clin Med 2020; 9:jcm9040951. [PMID: 32235493 PMCID: PMC7230778 DOI: 10.3390/jcm9040951] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 03/24/2020] [Accepted: 03/25/2020] [Indexed: 12/16/2022] Open
Abstract
Extranodal extension (ENE) is an independent adverse prognostic factor in oral squamous cell carcinoma (OSCC), and is difficult to identify preoperatively. We aimed to discover biomarkers for high risk patients with ENE. Tandem tissue, plasma, and urine samples of 110 patients with OSCC were investigated through 600-MHz nuclear magnetic resonance (NMR) metabolomics analysis. We found that the levels of creatine, creatine phosphate, glycine, and tyramine in plasma significantly decreased in stage IV ENE positive OSCC compared with stage IV ENE negative OSCC. To understand the underlying mechanism behind the alteration of plasma metabolites, our tissue analysis revealed that the carnitine level significantly increased in tumors but significantly decreased in the adjacent normal tissue in advanced stage OSCC, in addition to decreased levels of alanine and pyruvate in tumor tissues. The global metabolomics analysis on tumor tissues also showed that stage IV tumors with an ENE positive status demonstrated higher levels of aspartate, butyrate, carnitine, glutamate, glutathione, glycine, glycolate, guanosine, and sucrose but lower levels of alanine, choline, glucose, isoleucine, lactate, leucine, myo-inositol, O-acetylcholine, oxypurinol, phenylalanine, pyruvate, succinate, tyrosine, valine, and xanthine than tumors with an ENE negative status. We concluded that metabolomics alterations in tumor tissues correspond to an increase in the tumor stage and are detectable in plasma samples. Metabolomic alterations of OSCC can serve as potential diagnostic markers and predictors of ENE in patients with stage IV OSCC.
Collapse
|
15
|
Song N, Zhao L, Xu X, Zhu M, Liu C, Sun N, Yang J, Shi X, Zhao J. LyP-1-Modified Multifunctional Dendrimers for Targeted Antitumor and Antimetastasis Therapy. ACS APPLIED MATERIALS & INTERFACES 2020; 12:12395-12406. [PMID: 32077680 DOI: 10.1021/acsami.9b18881] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
We designed and synthesized 131I-labeled dendrimers modified with the LyP-1 peptide as a multifunctional platform for single-photon emission computed tomography (SPECT) imaging, radionuclide therapy, and antimetastasis therapy of cancer. The multifunctional platform was constructed by modifying amine-terminated generation 5 poly(amidoamine) dendrimers with 33.1 LyP-1 peptide and 9.2 3-(4'-hydroxyphenyl)propionic acid-OSu (HPAO), followed by acetylation of the remaining dendrimer terminal amines and radiolabeling with 131I via the HPAO moieties. The LyP-1-modified dendrimers showed favorable cytocompatibility in the studied concentration range of 0.1-10 μM for 24 h and could be labeled by 131I with satisfactory radiochemical purity (>99%) and stability (>90% even at 16 h). The 131I-labeled LyP-1-modified dendrimers were capable of being utilized as a diagnostic probe for SPECT imaging and as a therapeutic agent for radionuclide therapy and antimetastasis of cancer cells in vitro and in a subcutaneous tumor model in vivo. Based on analyses of the tumor microenvironment, the antitumor and antimetastasis effects could be because of the reduced levels of the molecular markers associated with proliferation and metastasis, improved local hypoxia, and increased apoptosis rate. The developed 131I-labeled dendrimeric nanodevice may hold great promise to be used as a nanotheranostic platform for cancer diagnosis and therapy.
Collapse
Affiliation(s)
- Ningning Song
- Department of Nuclear Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, People's Republic of China
| | - Lingzhou Zhao
- Department of Nuclear Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, People's Republic of China
| | - Xiaoying Xu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Chemistry, Chemical Engineering and Biotechnology, Donghua University, Shanghai 201620, People's Republic of China
| | - Meilin Zhu
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, Ningxia 750004, People's Republic of China
| | - Changcun Liu
- Department of Nuclear Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, People's Republic of China
| | - Na Sun
- Department of Nuclear Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, People's Republic of China
| | - Jiqin Yang
- Department of Nuclear Medicine, General Hospital of Ningxia Medical University, Yinchuan, Ningxia 750004, People's Republic of China
| | - Xiangyang Shi
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Chemistry, Chemical Engineering and Biotechnology, Donghua University, Shanghai 201620, People's Republic of China
| | - Jinhua Zhao
- Department of Nuclear Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200080, People's Republic of China
| |
Collapse
|
16
|
Luo Y, Li W, Ling Z, Hu Q, Fan Z, Cheng B, Tao X. ASCT2 overexpression is associated with poor survival of OSCC patients and ASCT2 knockdown inhibited growth of glutamine-addicted OSCC cells. Cancer Med 2020; 9:3489-3499. [PMID: 32162845 PMCID: PMC7221297 DOI: 10.1002/cam4.2965] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Revised: 02/05/2020] [Accepted: 02/20/2020] [Indexed: 02/02/2023] Open
Abstract
Background Alanine‐serine‐cysteine transporter 2 (ASCT2), a major glutamine transporter, is essential for cell growth and tumor development in a variety of cancers. However, the clinicopathological significance and pathological role of ASCT2 in OSCC (oral squamous cell carcinoma) lesions remain unclear. Methods Sections from 89 OSCC patients and 10 paracancerous tissue controls were stained by immunohistochemistry (IHC) to detect the expression of ASCT2, glutaminase, and Ki‐67. Survival analysis was carried out to determine the predictive value of ASCT2 expression using the log‐rank test. Moreover, the critical role of ASCT2 in tumor growth was determined by a series of in vitro and in vivo assays. Cell Counting Kit‐8 (CCK8), Western Blotting (WB), Reactive Oxygen Species (ROS), and Glutathione (GSH) detection were applied to explore the molecular mechanism of ASCT2 involvement in tumor development. Results In OSCC lesions, ASCT2 expression was significantly increased and associated with cell proliferation index (Ki‐67) and GLS expression. Moreover, survival analysis showed that OSCC patients with high ASCT2 expression had lower overall survival (P = 0.0365). In OSCC cell lines, the high level of ASCT2 was inherent and related to the glutamine addiction of tumor cells. In vitro and in vivo functional experiments revealed that targeted silencing of ASCT2 can effectively inhibit OSCC cell proliferation and tumor growth. Mechanistically, targeting ASCT2 knockdown reduced glutamine uptake and intracellular GSH levels, which contribute to the accumulation of ROS and induce apoptosis in OSCC cells. Conclusion ASCT2 is a significant factor for predicting overall survival in patients with OSCC, and targeting ASCT2 to inhibit glutamine metabolism may be a promising strategy for OSCC treatment.
Collapse
Affiliation(s)
- Yijun Luo
- Guangdong Provincial Key Laboratory of Stomatology, Department of Oral Medicine, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, P.R. China
| | - Wei Li
- Guangdong Provincial Key Laboratory of Stomatology, Department of Oral Medicine, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, P.R. China
| | - Zihang Ling
- Guangdong Provincial Key Laboratory of Stomatology, Department of Oral Medicine, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, P.R. China
| | - Qinchao Hu
- Guangdong Provincial Key Laboratory of Stomatology, Department of Oral Medicine, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, P.R. China
| | - Zhen Fan
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Bin Cheng
- Guangdong Provincial Key Laboratory of Stomatology, Department of Oral Medicine, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, P.R. China
| | - Xiaoan Tao
- Guangdong Provincial Key Laboratory of Stomatology, Department of Oral Medicine, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, P.R. China
| |
Collapse
|
17
|
Evans M, Baddour HM, Magliocca KR, Müller S, Nannapaneni S, Chen AY, Kim S, Chen Z, Shin DM, Wang AY, Saba NF, Chen ZG. Prognostic implications of peritumoral vasculature in head and neck cancer. Cancer Med 2018; 8:147-154. [PMID: 30575303 PMCID: PMC6346230 DOI: 10.1002/cam4.1910] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Revised: 07/25/2018] [Accepted: 10/24/2018] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND There is conflicting evidence regarding the role of peritumoral lymphatic vessel density (LVD) and blood microvessel density (MVD) in the metastasis and prognosis of head and neck squamous cell carcinoma (HNSCC). Existing studies are limited to one or two head and neck subsites and/or small sample sizes. A larger study incorporating multiple sub-sites is needed to address the role of peritumoral LVD and MVD in HNSCC metastasis and prognosis. METHODS Tissue samples from 200 HNSCC cases were stained simultaneously using immunohistochemistry (IHC) for markers of peritumoral LVD (lymphatic vessel marker D240) and MVD (blood vessel marker CD31). Of the stained slides, 166 and 167 were evaluable for LVD and MVD, respectively. The results were then correlated with clinicopathologic features and patient outcomes. RESULTS Patients with metastatic disease were more likely to have high peritumoral MVD. Through multivariable analyses, MVD was not significantly related to DFS and OS, while low LVD was related to higher risk of disease progression and poor survival. CONCLUSIONS Peritumoral MVD was found to be positively associated with metastasis, while LVD was found to be inversely related to both metastasis and progression of HNSCC. These findings may suggest a prognostic role of both peritumoral LVD and MVD in patients with HNSCC.
Collapse
Affiliation(s)
- Michael Evans
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia
| | - Harry Michael Baddour
- Department of Otolaryngology-Head and Neck Surgery, Emory University School of Medicine, Atlanta, Georgia
| | - Kelly R Magliocca
- Department of Pathology & Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Susan Müller
- Department of Pathology & Laboratory Medicine, Emory University School of Medicine, Atlanta, Georgia
| | - Sreenivas Nannapaneni
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia
| | - Amy Y Chen
- Department of Otolaryngology-Head and Neck Surgery, Emory University School of Medicine, Atlanta, Georgia
| | - Sunjin Kim
- Department of Biostatistics and Bioinformatics, Emory Rollins School of Public Health, Atlanta, Georgia
| | - Zhengjia Chen
- Department of Biostatistics and Bioinformatics, Emory Rollins School of Public Health, Atlanta, Georgia
| | - Dong M Shin
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia
| | | | - Nabil F Saba
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia
| | - Zhuo G Chen
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University School of Medicine, Atlanta, Georgia
| |
Collapse
|