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Wang Y, Zhang Y, Ren N, Li F, Lu L, Zhao X, Zhou Z, Gao M, Wang M. Repeat biopsy versus initial biopsy in terms of complication risk factors and clinical outcomes for patients with non-small cell lung cancer: a comparative study of 113 CT-guided needle biopsy of lung lesions. Front Oncol 2024; 14:1367603. [PMID: 38803532 PMCID: PMC11129557 DOI: 10.3389/fonc.2024.1367603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 04/17/2024] [Indexed: 05/29/2024] Open
Abstract
Objectives The safety and feasibility of repeat biopsy after systemic treatment for non-small cell lung cancer have received extensive attention in recent years. The purpose of this research was to compare complication rates between initial biopsy and rebiopsy in non-small cell lung cancer patients with progressive disease and to assess complication risk factors and clinical results after rebiopsy. Methods The study included 113 patients initially diagnosed with non-small cell lung cancer who underwent lung biopsy at initial biopsy and rebiopsy after progression while on epidermal growth factor receptor tyrosine kinase inhibitors (EGFR-TKIs) and/or chemotherapy from January 2018 to December 2021. We compared the incidence of complications between the initial biopsy and rebiopsy and analyzed the predictors factors that influenced complications in patients who underwent rebiopsy. Results The successful rate of rebiopsy was 88.5% (100/113). With the exception of two cases where lung adenocarcinoma changed into small cell lung cancer with gefitinib treatment, 98 individuals retained their initial pathological type. The secondary EGFR T790M mutation accounts for 55.6% of acquired resistance. The total number of patients with complications in initial biopsy was 25 (22.1%) and 37 (32.7%) in the rebiopsy. The incidence of pulmonary hemorrhage increased from 7.1% at the initial biopsy to 10.6% at rebiopsy, while the incidence of pneumothorax increased from 14.2% to 20.4%. Compared with the initial biopsy, the incidence of overall complications, parenchymal hemorrhage, and pneumothorax increased by 10.6%, 3.5%, and 6.2%, respectively. In all four evaluations (pneumorrhagia, pneumothorax, pleural reaction, and overall complication), there were no significant differences between the rebiopsy and initial biopsy (all p > 0.05). The multivariate logistic regression analysis suggested that male sex (odds ratio [OR] = 5.064, p = 0.001), tumor size ≤ 2 cm (OR = 3.367, p = 0.013), EGFR-TKIs with chemotherapy (OR = 3.633, p =0.023), and transfissural approach (OR = 7.583, p = 0.026) were independent risk factors for overall complication after rebiopsy. Conclusion Compared with the initial biopsy, the complication rates displayed a slight, but not significant, elevation in rebiopsy. Male sex, tumor size ≤ 2 cm, transfissural approach, and EGFR-TKIs combined with chemotherapy were independent risk factors for rebiopsy complications.
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Affiliation(s)
- Yangyang Wang
- Department of Medical Imaging, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yongyuan Zhang
- Department of Medical Imaging, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Nana Ren
- Department of Medical Imaging, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Fangting Li
- Department of Medical Imaging, Zhengzhou People’s Hospital, Zhengzhou, China
| | - Lin Lu
- Department of Medical Imaging, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xin Zhao
- Department of Medical Imaging, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zhigang Zhou
- Department of Medical Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Mengyu Gao
- Department of Medical Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Meng Wang
- Department of Medical Imaging, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Wu L, Zhong Y, Wu D, Xu P, Ruan X, Yan J, Liu J, Li X. Immunomodulatory Factor TIM3 of Cytolytic Active Genes Affected the Survival and Prognosis of Lung Adenocarcinoma Patients by Multi-Omics Analysis. Biomedicines 2022; 10:biomedicines10092248. [PMID: 36140350 PMCID: PMC9496572 DOI: 10.3390/biomedicines10092248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 08/31/2022] [Accepted: 09/06/2022] [Indexed: 11/16/2022] Open
Abstract
[Objective] Using multi-omics research methods to explore cytolytic activity-related genes through the immunoregulatory factors HAVCR2 (TIM3) affecting the survival and prognosis of lung adenocarcinoma. [Methods] We combined Cox single factor regression and lasso regression feature selection algorithm to screen out the key genes of cytolytic activity in lung adenocarcinoma, and applied multi-omics research to explore the clinical predictive value of the model, including onset risk, independent prognosis, clinical relevance, signal transduction pathways, drug sensitivity, and the correlation of immune regulatory factors, etc. TCGA data are used as the experimental group, and GEO data is used as the external data control group to verify the stability of the model. The survival curve was generated by the Kaplan–Meier method and compared by log-rank, and the Cox proportional hazard model was used for multivariate analysis. In this study, 10 fresh tissue samples of lung adenocarcinoma were collected for cellular immunohistochemical experiments to analyze the expression of immunoregulatory factors in cancer tissues, and the key immunoregulatory factors were verified and screened out. [Results] A total of 450 genes related to cytolytic activity were differentially expressed, of which 273 genes were up-regulated and 177 genes were down-regulated. A total of 91 key genes related to cytolytic activity related to the prognosis of lung adenocarcinoma were screened through Cox single factor regression. The ROC curve results showed that the AUC values of 1, 3, and 5 years in the training set and test set were all greater than 0.7, indicating that the model has a valid verification. The level of risk score is significantly related to the sensitivity of patients to AKT inhibitor VIII, Lenalidomide, and Tipifarnib. In addition, our study also found that receptor and MHC genes related to immunomodulatory, and chemokines, including HAVCR2, are more highly expressed in the low-risk group. [Conclusions] HAVCR2 (TIM3) immunoregulatory factors affect the expression of key genes that affect cytolytic activity in lung adenocarcinoma cells, and to some extent indirectly affect the survival and prognosis of patients with lung adenocarcinoma.
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Affiliation(s)
- Liusheng Wu
- Peking University Shenzhen Hospital, Clinical College of Anhui Medical University, Tsinghua university, Shenzhen 518036, China
- Thoracic Surgery, Peking University Shenzhen Hospital, Shenzhen 518036, China
| | - Yanfeng Zhong
- Thoracic Surgery, Peking University Shenzhen Hospital, Shenzhen 518036, China
| | - Dingwang Wu
- Thoracic Surgery, Peking University Shenzhen Hospital, Shenzhen 518036, China
| | - Pengcheng Xu
- Thoracic Surgery, Peking University Shenzhen Hospital, Shenzhen 518036, China
| | - Xin Ruan
- Thoracic Surgery, Peking University Shenzhen Hospital, Shenzhen 518036, China
| | - Jun Yan
- Peking University Shenzhen Hospital, Clinical College of Anhui Medical University, Tsinghua university, Shenzhen 518036, China
- Correspondence: (J.Y.); (J.L.); (X.L.)
| | - Jixian Liu
- Thoracic Surgery, Peking University Shenzhen Hospital, Shenzhen 518036, China
- Correspondence: (J.Y.); (J.L.); (X.L.)
| | - Xiaoqiang Li
- Thoracic Surgery, Peking University Shenzhen Hospital, Shenzhen 518036, China
- Correspondence: (J.Y.); (J.L.); (X.L.)
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Zeng X, Li L, Hu Z, Peng D. Integrated Multi-Omics Analysis Identified PTPRG and CHL1 as Key Regulators of Immunophenotypes in Clear Cell Renal Cell Carcinoma(ccRCC). Front Oncol 2022; 12:832027. [PMID: 35433461 PMCID: PMC9005830 DOI: 10.3389/fonc.2022.832027] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2021] [Accepted: 03/04/2022] [Indexed: 01/05/2023] Open
Abstract
Despite the increasing importance and status of immune checkpoint blockade (ICB), little is known about the underlying molecular mechanisms determining the target clear cell renal cell carcinoma (ccRCC) population. In this study, we screened out 6 immune cells strongly correlated with expression levels of PD-L1 and IFN-γ based on the ccRCC samples extracted from GSE and TCGA data sets. By performing unsupervised clustering and lasso regression analysis, we grouped the ccRCC into 4 clusters and selected the two most distinct sub-clusters for further investigation-cluster A1 and B1. Next, we compared the two clusters in terms of mRNA, somatic mutations, copy number variations, DNA methylation, miRNA, lncRNA and constructed the differentially expressed genes (DEGs) hub by combing together the previous results at levels of DNA methylation, miRNA, and lncRNA. PTPRG and CHL1 were identified as key nodes in the regulation hub of immunophenotypes in ccRCC patients. Finally, we established the prognosis model by using Lasso-Cox regression and Kaplan-Meier analysis, recognizing WNT2, C17orf66, and PAEP as independent significant risk factors while IRF4 as an independent protective factor.
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Affiliation(s)
- Xing Zeng
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Le Li
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiquan Hu
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Dan Peng
- Department of Nuclear Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Cui M, Xia Q, Zhang X, Yan W, Meng D, Xie S, Shen S, Jin H, Wang S. Development and Validation of a Tumor Mutation Burden-Related Immune Prognostic Signature for Ovarian Cancers. Front Genet 2022; 12:688207. [PMID: 35087563 PMCID: PMC8787320 DOI: 10.3389/fgene.2021.688207] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 12/22/2021] [Indexed: 12/14/2022] Open
Abstract
Ovarian cancer (OC), one of the most common malignancies of the female reproductive system, is characterized by high incidence and poor prognosis. Tumor mutation burden (TMB), as an important biomarker that can represent the degree of tumor mutation, is emerging as a key indicator for predicting the efficacy of tumor immunotherapy. In our study, the gene expression profiles of OC were downloaded from TCGA and GEO databases. Subsequently, we analyzed the prognostic value of TMB in OC and found that a higher TMB score was significantly associated with a better prognosis (p = 0.004). According to the median score of TMB, 9 key TMB related immune prognostic genes were selected by LASSO regression for constructing a TMB associated immune risk score (TMB-IRS) signature, which can effectively predict the prognosis of OC patients (HR = 2.32, 95% CI = 1.68–3.32; AUC = 0.754). Interestingly, TMB-IRS is also closely related to the level of immune cell infiltration and immune checkpoint molecules (PD1, PD-L1, CTLA4, PD-L2) in OC. Furthermore, the nomogram combined with TMB-IRS and a variety of clinicopathological features can more comprehensively evaluate the prognosis of patients. In conclusion, we explored the relationship between TMB and prognosis and validated the TMB-IRS signature based on TMB score in an independent database (HR = 1.60, 95% CI = 1.13–2.27; AUC = 0.639), which may serve as a novel biomarker for predicting OC prognosis as well as possible therapeutic targets.
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Affiliation(s)
- Mengjing Cui
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Qianqian Xia
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Xing Zhang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Wenjing Yan
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Dan Meng
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Shuqian Xie
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Siyuan Shen
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Hua Jin
- Clinical Laboratory, Affiliated Tumor Hospital of Nantong University (Nantong Tumor Hospital), Nantong, China
| | - Shizhi Wang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
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Immunohistochemical Analysis of the Expression of the Glycodelin Cytokine in Endometrial Tissue and the Endometrial Polyp, Before and After Hysteroscopy, in Infertile Female Patients. SERBIAN JOURNAL OF EXPERIMENTAL AND CLINICAL RESEARCH 2021. [DOI: 10.2478/sjecr-2021-0023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
An endometrial polyp is most commonly a benign, localized proliferation of the glands and the endometrial stroma, covered with epithelium and protruding above the level of the mucosa. These polyps are most often diagnosed during investigation into the causes of irregular menstrual bleeding or infertility. It is produced in the highest concentration during the secretory phase of the endometrial cycle. The level of glycodelin reaches its peak 12 days after ovulation. The aim of this paper was to determine the changes in the immunohistochemical expression of glycodelin at the level of the endometrium and in the tissue of the polyp, before and after hysteroscopic polypectomy, in infertile female patients with an endometrial polyp, and in the endometrial tissue of female patients without an endometrial polyp. The study included 82 infertile female patients. The infertile patients were divided into two groups. The first was the experimental group which included 56 infertile female patients who had an endometrial polyp. The second group was the control group, composed of 26 infertile female patients who did not have an endometrial polyp. The results obtained primarily indicate the existence of changes in the immunohistochemical expression of the cytokine glycodelin in the female patients from both the experimental and the control group, not only prior to but also after hysteroscopy. A larger number of patients who have an endometrial polyp show a lack of glycodelin expression, more pronouncedly so in the bioptate of the endometrium than in the endometrial polyp.
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Long J, Zhang S, Zeng X, Ouyang Y, Wang Y, Hu Z, Ye Y, Wu W, Jin F, Zhou S, Zeng Z. Development of an Immunogenomic Landscape-Based Prognostic Index of Head and Neck Squamous Cell Carcinoma. Front Mol Biosci 2020; 7:586344. [PMID: 33330624 PMCID: PMC7732611 DOI: 10.3389/fmolb.2020.586344] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 10/13/2020] [Indexed: 12/11/2022] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) is the eighth leading cancer by incidence worldwide, with approximately 700,000 new cases in 2018 (accounting for 11% of all cancers). The occurrence and development of tumors are closely related to the immunological function of the body and sensitivity to treatment schemes as well as prognosis. It is urgent for clinicians to systematically study patients’ immune gene maps to help select a treatment plan and analyze the potential to cure HNSCC. Here, the transcriptomic data of HNSCC samples were downloaded from The Cancer Genome Atlas (TCGA), and 4,793 genes differentially expressed in normal and cancer tissues of HNSCC were identified, including 1,182 downregulated and 3,611 upregulated genes. From these genes, 400 differentially expressed immune-related genes (IRGs) were extracted, including 95 downregulated genes and 305 upregulated genes. The prognostic values of IRGs were evaluated by univariate Cox analysis, and 236 genes that were significantly related to the overall survival (OS) of patients were identified. The signaling pathways that play roles in the prognosis of IRGs were investigated by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, and the expression profiles of IRGs and OS in 499 HNSCC patients based on TCGA dataset were integrated. Potential molecular mechanisms and characteristics of these HNSCC-specific IRGs were further explored with the help of a new prognostic index based on IRGs developed by least absolute shrinkage and selection operator (LASSO) Cox analysis. A total of 64 hub genes (IRGs associated with prognosis) were markedly associated with the clinical outcome of HNSCC patients. KEGG functional enrichment analysis revealed that these genes were actively involved in several pathways, e.g., cytokine–cytokine receptor interaction, T-cell receptor signaling, and natural killer cell-mediated cytotoxicity. IRG-based prognostic signatures performed moderately in prognostic predictions. Interestingly, the prognostic index based on IRGs reflected infiltration by several types of immune cells. These data screened several IRGs of clinical significance and revealed drivers of the immune repertoire, demonstrating the importance of a personalized IRG-based immune signature in the recognition, surveillance, and prognosis of HNSCC.
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Affiliation(s)
- Jinhua Long
- School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.,School of Biology and Engineering, Guizhou Medical University, Guiyang, China.,Key Laboratory of Infectious Immune and Antibody Engineering in Guizhou Province, Guizhou Medical University, Guiyang, China.,Department of Head and Neck Oncology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Shichao Zhang
- School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.,School of Biology and Engineering, Guizhou Medical University, Guiyang, China.,Key Laboratory of Infectious Immune and Antibody Engineering in Guizhou Province, Guizhou Medical University, Guiyang, China.,Key Laboratory of Biology and Medical Engineering, Immune Cells and Antibody Engineering Research Center of Guizhou Province, School of Biology and Engineering, Guizhou Medical University, Guiyang, China
| | - Xianlin Zeng
- School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.,School of Biology and Engineering, Guizhou Medical University, Guiyang, China.,Key Laboratory of Infectious Immune and Antibody Engineering in Guizhou Province, Guizhou Medical University, Guiyang, China.,Key Laboratory of Biology and Medical Engineering, Immune Cells and Antibody Engineering Research Center of Guizhou Province, School of Biology and Engineering, Guizhou Medical University, Guiyang, China
| | - Yan Ouyang
- School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.,School of Biology and Engineering, Guizhou Medical University, Guiyang, China
| | - Yun Wang
- School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.,School of Biology and Engineering, Guizhou Medical University, Guiyang, China.,Key Laboratory of Infectious Immune and Antibody Engineering in Guizhou Province, Guizhou Medical University, Guiyang, China.,Key Laboratory of Biology and Medical Engineering, Immune Cells and Antibody Engineering Research Center of Guizhou Province, School of Biology and Engineering, Guizhou Medical University, Guiyang, China
| | - Zuquan Hu
- School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.,School of Biology and Engineering, Guizhou Medical University, Guiyang, China.,Key Laboratory of Infectious Immune and Antibody Engineering in Guizhou Province, Guizhou Medical University, Guiyang, China.,Key Laboratory of Biology and Medical Engineering, Immune Cells and Antibody Engineering Research Center of Guizhou Province, School of Biology and Engineering, Guizhou Medical University, Guiyang, China
| | - Yuannong Ye
- School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.,School of Biology and Engineering, Guizhou Medical University, Guiyang, China.,Key Laboratory of Infectious Immune and Antibody Engineering in Guizhou Province, Guizhou Medical University, Guiyang, China
| | - Weili Wu
- Department of Head and Neck Oncology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Feng Jin
- Department of Head and Neck Oncology, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Shi Zhou
- Department of Intervention, The Affiliated Hospital of Guizhou Medical University, Guiyang, China
| | - Zhu Zeng
- School of Basic Medical Sciences, Guizhou Medical University, Guiyang, China.,School of Biology and Engineering, Guizhou Medical University, Guiyang, China.,Key Laboratory of Infectious Immune and Antibody Engineering in Guizhou Province, Guizhou Medical University, Guiyang, China.,Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, China
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Ni Z, Zhang L, Zheng J, Su X, Zhang S. Glycodelin As A Biomarker Of Advanced Lung Adenocarcinoma Brain Metastases In Patients Treated With EGFR Tyrosine Kinase Inhibitors. Cancer Manag Res 2019; 11:9421-9425. [PMID: 31807071 PMCID: PMC6843245 DOI: 10.2147/cmar.s216971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2019] [Accepted: 08/03/2019] [Indexed: 11/23/2022] Open
Abstract
Objective Brain metastasis (BM) is a serious complication of advanced lung adenocarcinoma and is a prominent factor leading to lung cancer mortality. In this study, the expression of the glycodelin protein was analyzed in EGFR-mutant tyrosine kinase inhibitor-sensitive advanced lung adenocarcinoma. Methods This study features a retrospective analysis of 74 advanced lung adenocarcinoma patients treated at our hospital from January 2010 to December 2017. The expressions of glycodelin were assessed by standard immunohistochemistry and correlated with clinicopathological factors and overall survival (OS) outcomes. Results Patients with advanced lung adenocarcinoma with glycodelin overexpression were prone to BM (P < 0.05), and exhibited significantly shortened OS (11.8 months vs 20.4 months, P < 0.05). Multivariate regression analysis showed that overexpression of glycodelin and brain metastases were independent factors affecting the prognosis of advanced lung adenocarcinoma (P < 0.05). Conclusion The overexpression of glycodelin is closely related to the presence of brain metastasis in lung adenocarcinoma, and can be used as an auxiliary diagnostic index for prognosis of advanced lung adenocarcinoma.
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Affiliation(s)
- Zexu Ni
- Department of Pathology, Dongguan Tungwah Hospital, Dongguan 523110, People's Republic of China
| | - Lingling Zhang
- Department of Oncology, Beijing Chest Hospital, Capital Medical University; Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, People's Republic of China.,Department of Oncology, Peking University International Hospital, Beijing 102206, People's Republic of China
| | - Jinhua Zheng
- Department of Pathology, Dongguan Tungwah Hospital, Dongguan 523110, People's Republic of China
| | - Xiaojie Su
- Department of Pathology, Dongguan Tungwah Hospital, Dongguan 523110, People's Republic of China
| | - Shucai Zhang
- Department of Oncology, Beijing Chest Hospital, Capital Medical University; Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing 101149, People's Republic of China
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