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Jin T, Ding L, Chen J, Zou X, Xu T, Xuan Z, Wang S, Chen J, Wang W, Zhu C, Zhang Y, Huang P, Pan Z, Ge M. BUB1/KIF14 complex promotes anaplastic thyroid carcinoma progression by inducing chromosome instability. J Cell Mol Med 2024; 28:e18182. [PMID: 38498903 PMCID: PMC10948175 DOI: 10.1111/jcmm.18182] [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: 03/16/2023] [Revised: 01/21/2024] [Accepted: 02/05/2024] [Indexed: 03/20/2024] Open
Abstract
Chromosome instability (CIN) is a common contributor driving the formation and progression of anaplastic thyroid cancer (ATC), but its mechanism remains unclear. The BUB1 mitotic checkpoint serine/threonine kinase (BUB1) is responsible for the alignment of mitotic chromosomes, which has not been thoroughly studied in ATC. Our research demonstrated that BUB1 was remarkably upregulated and closely related to worse progression-free survival. Knockdown of BUB1 attenuated cell viability, invasion, migration and induced cell cycle arrests, whereas overexpression of BUB1 promoted the cell cycle progression of papillary thyroid cancer cells. BUB1 knockdown remarkably repressed tumour growth and tumour formation of nude mice with ATC xenografts and suppressed tumour metastasis in a zebrafish xenograft model. Inhibition of BUB1 by its inhibitor BAY-1816032 also exhibited considerable anti-tumour activity. Further studies showed that enforced expression of BUB1 evoked CIN in ATC cells. BUB1 induced CIN through phosphorylation of KIF14 at serine1292 (Ser1292 ). Overexpression of the KIF14ΔSer1292 mutant was unable to facilitate the aggressiveness of ATC cells when compared with that of the wild type. Collectively, these findings demonstrate that the BUB1/KIF14 complex drives the aggressiveness of ATC by inducing CIN.
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Affiliation(s)
- Tiefeng Jin
- Otolaryngology & Head and Neck Center, Cancer Center, Department of Head and Neck SurgeryZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
| | - Lingling Ding
- Otolaryngology & Head and Neck Center, Cancer Center, Department of Head and Neck SurgeryZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
| | - Jinming Chen
- Center for Clinical Pharmacy, Cancer Center, Department of PharmacyZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
| | - Xiaozhou Zou
- Center for Clinical Pharmacy, Cancer Center, Department of PharmacyZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
| | - Tong Xu
- Center for Clinical Pharmacy, Cancer Center, Department of PharmacyZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
| | - Zixue Xuan
- Center for Clinical Pharmacy, Cancer Center, Department of PharmacyZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
| | - Shanshan Wang
- Center for Clinical Pharmacy, Cancer Center, Department of PharmacyZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
| | - Jianqiang Chen
- Center for Clinical Pharmacy, Cancer Center, Department of PharmacyZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
| | - Wei Wang
- Department of Pathology, Laboratory Medicine CenterZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
| | - Chaozhuang Zhu
- Center for Clinical Pharmacy, Cancer Center, Department of PharmacyZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
| | - Yiwen Zhang
- Center for Clinical Pharmacy, Cancer Center, Department of PharmacyZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
- Key Laboratory of Endocrine Gland Diseases of Zhejiang ProvinceHangzhouChina
| | - Ping Huang
- Center for Clinical Pharmacy, Cancer Center, Department of PharmacyZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
- Key Laboratory of Endocrine Gland Diseases of Zhejiang ProvinceHangzhouChina
| | - Zongfu Pan
- Center for Clinical Pharmacy, Cancer Center, Department of PharmacyZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
- Key Laboratory of Endocrine Gland Diseases of Zhejiang ProvinceHangzhouChina
| | - Minghua Ge
- Otolaryngology & Head and Neck Center, Cancer Center, Department of Head and Neck SurgeryZhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical CollegeHangzhouChina
- Key Laboratory of Endocrine Gland Diseases of Zhejiang ProvinceHangzhouChina
- Clinical Research Center for Cancer of Zhejiang ProvinceHangzhouChina
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Matic N, Pettersson L, Sellebjerg F, Lindberg L, Roberg K, Wiechec E. Prognostic value of hypoxia-responsive gene expression profile in patients diagnosed with head and neck squamous cell carcinoma. Transl Oncol 2024; 39:101841. [PMID: 38016355 PMCID: PMC10687700 DOI: 10.1016/j.tranon.2023.101841] [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: 08/15/2023] [Revised: 10/25/2023] [Accepted: 11/20/2023] [Indexed: 11/30/2023] Open
Abstract
Head and neck squamous cell carcinoma (HNSCC) is a disease associated with a severe mortality and high risk of distant metastasis and local recurrence. Currently, surgery and radiotherapy are the main treatment modes, however, therapeutic efficacy of radiotherapy is linked to tumor resistance. Hypoxia has been shown to affect outcome of radiotherapy in HNSCC patients. The aim of this study was to verify the expression of the previously identified hypoxia-responsive genes (CA9, CASP14, LOX, GLUT3, SERPINE1, AREG, EREG, CCNB1 and KIF14) in HNSCC patient material as well as assess their prognostic potential. Tumor biopsies obtained before start of radiotherapy from 32 HNSCC patients classified as responders or non-responders were investigated in this study. The mRNA expression was quantified using RT-qPCR. The mRNA expression of CA9, SERPINE1 and KIF14 was significantly higher in the analyzed patient material compared with the non-cancerous oral tissue. Moreover, the KIF14 mRNA expression was significantly higher in the responder group compared to non-responders. Further studies demonstrated that knockdown of KIF14 reverses its radiosensitizing capability. Additionally, low expression of KIF14 mRNA correlated with significantly shorter OS (overall survival). In conclusion, our results suggest that KIF14 might be a useful prognostic and predictive marker in HNSCC.
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Affiliation(s)
- Natasa Matic
- Department of Otorhinolaryngology in Linköping, Anaesthetics, Operations and Specialty Surgery Center, Region Östergötland, Linköping 58185, Sweden
| | - Lina Pettersson
- Department of Biomedical and Clinical Sciences, Division of Cell Biology, Linköping University, Linköping 58185, Sweden
| | - Felicia Sellebjerg
- Department of Biomedical and Clinical Sciences, Division of Cell Biology, Linköping University, Linköping 58185, Sweden
| | - Lina Lindberg
- Department of Biomedical and Clinical Sciences, Division of Cell Biology, Linköping University, Linköping 58185, Sweden
| | - Karin Roberg
- Department of Otorhinolaryngology in Linköping, Anaesthetics, Operations and Specialty Surgery Center, Region Östergötland, Linköping 58185, Sweden; Department of Biomedical and Clinical Sciences, Division of Cell Biology, Linköping University, Linköping 58185, Sweden.
| | - Emilia Wiechec
- Department of Otorhinolaryngology in Linköping, Anaesthetics, Operations and Specialty Surgery Center, Region Östergötland, Linköping 58185, Sweden; Department of Biomedical and Clinical Sciences, Division of Cell Biology, Linköping University, Linköping 58185, Sweden.
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Liu L, Li M, Zhang J, Xu D, Guo Y, Zhang H, Cang S. KIF14 mediates cabazitaxel-docetaxel cross-resistance in advanced prostate cancer by promoting AKT phosphorylation. Arch Biochem Biophys 2023; 737:109551. [PMID: 36822388 DOI: 10.1016/j.abb.2023.109551] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 02/01/2023] [Accepted: 02/19/2023] [Indexed: 02/23/2023]
Abstract
Docetaxel is a first-line chemotherapy drug for castration-resistant prostate cancer (CRPC); yet, some CRPC patients develop docetaxel drug resistance. Cabazitaxel is approved in the post-docetaxel treatment setting. However, recent studies suggested cross-resistance between the development of drug resistance and current treatments. In this study, we used docetaxel-resistant cell lines DU145/DTX50 and PC-3/DTX30 to measure the responses to cabazitaxel. Our findings demonstrated that docetaxel resistance could lead to cross-resistance to cabazitaxel. After docetaxel-resistant cells were treated with cabazitaxel, transcriptome analysis was performed, and the results were analyzed in combination with survival analysis and correlation analysis with Gleason score to screen the cross-resistance genes. The continuously increased expression of kinesin family member 14 (KIF14) was identified as the main cause of cross-resistance to cabazitaxel in docetaxel-resistant cells. Silencing the expression of KIF14 could restore the sensitivity of resistant PCa cells to docetaxel and cabazitaxel, attenuate proliferation and promote apoptosis of the resistant PCa cells. Notably, the depressed expression of KIF14 inhibited the phosphorylation of Akt located downstream. In summary, KIF14 mediates the cross-resistance between docetaxel and cabazitaxel, and targeting KIF14 could be an effective measurement for reversing docetaxel or cabazitaxel chemotherapy failure or enhancing the anti-tumor effects of docetaxel or cabazitaxel.
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Affiliation(s)
- Lina Liu
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 450053, Henan, China
| | - Mengyuan Li
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 450053, Henan, China
| | - Junshuo Zhang
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 450053, Henan, China
| | - Dengfei Xu
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 450053, Henan, China
| | - Yan Guo
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 450053, Henan, China
| | - Hui Zhang
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 450053, Henan, China
| | - Shundong Cang
- Department of Oncology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Henan University People's Hospital, Zhengzhou, 450053, Henan, China.
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Sarafidis M, Lambrou GI, Zoumpourlis V, Koutsouris D. An Integrated Bioinformatics Analysis towards the Identification of Diagnostic, Prognostic, and Predictive Key Biomarkers for Urinary Bladder Cancer. Cancers (Basel) 2022; 14:cancers14143358. [PMID: 35884419 PMCID: PMC9319344 DOI: 10.3390/cancers14143358] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Revised: 07/03/2022] [Accepted: 07/06/2022] [Indexed: 02/04/2023] Open
Abstract
Simple Summary Bladder cancer is evidently a challenge as far as its prognosis and treatment are concerned. The investigation of potential biomarkers and therapeutic targets is indispensable and still in progress. Most studies attempt to identify differential signatures between distinct molecular tumor subtypes. Therefore, keeping in mind the heterogeneity of urinary bladder tumors, we attempted to identify a consensus gene-related signature between the common expression profile of bladder cancer and control samples. In the quest for substantive features, we were able to identify key hub genes, whose signatures could hold diagnostic, prognostic, or therapeutic significance, but, primarily, could contribute to a better understanding of urinary bladder cancer biology. Abstract Bladder cancer (BCa) is one of the most prevalent cancers worldwide and accounts for high morbidity and mortality. This study intended to elucidate potential key biomarkers related to the occurrence, development, and prognosis of BCa through an integrated bioinformatics analysis. In this context, a systematic meta-analysis, integrating 18 microarray gene expression datasets from the GEO repository into a merged meta-dataset, identified 815 robust differentially expressed genes (DEGs). The key hub genes resulted from DEG-based protein–protein interaction and weighted gene co-expression network analyses were screened for their differential expression in urine and blood plasma samples of BCa patients. Subsequently, they were tested for their prognostic value, and a three-gene signature model, including COL3A1, FOXM1, and PLK4, was built. In addition, they were tested for their predictive value regarding muscle-invasive BCa patients’ response to neoadjuvant chemotherapy. A six-gene signature model, including ANXA5, CD44, NCAM1, SPP1, CDCA8, and KIF14, was developed. In conclusion, this study identified nine key biomarker genes, namely ANXA5, CDT1, COL3A1, SPP1, VEGFA, CDCA8, HJURP, TOP2A, and COL6A1, which were differentially expressed in urine or blood of BCa patients, held a prognostic or predictive value, and were immunohistochemically validated. These biomarkers may be of significance as prognostic and therapeutic targets for BCa.
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Affiliation(s)
- Michail Sarafidis
- Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780 Athens, Greece;
- Correspondence: ; Tel.: +30-210-772-2430
| | - George I. Lambrou
- Choremeio Research Laboratory, First Department of Pediatrics, National and Kapodistrian University of Athens, 8 Thivon & Levadeias Str., 11527 Athens, Greece;
- University Research Institute of Maternal and Child Health and Precision Medicine, National and Kapodistrian University of Athens, 8 Thivon & Levadeias Str., 11527 Athens, Greece
| | - Vassilis Zoumpourlis
- Biomedical Applications Unit, Institute of Chemical Biology, National Hellenic Research Foundation, 48 Vas. Konstantinou Ave., 11635 Athens, Greece;
| | - Dimitrios Koutsouris
- Biomedical Engineering Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780 Athens, Greece;
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Chen P, Fan W, Hou Y, Wang F, Luo N. Role of kinesin family member 14 in disease monitoring and prognosis in patients with gastrointestinal cancer. Oncol Lett 2022; 23:156. [PMID: 35836481 PMCID: PMC9258591 DOI: 10.3892/ol.2022.13276] [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: 09/02/2021] [Accepted: 01/13/2022] [Indexed: 11/06/2022] Open
Abstract
Kinesin family member 14 (KIF14) is not only involved in numerous essential biological activities, such as cytokinesis and myelination, but also regulates several malignant behaviors and progression of cancer. However, its role in gastrointestinal cancer is rarely reported. Therefore, the present study aimed to investigate the association of KIF14 expression with disease-free survival (DFS) and overall survival (OS) times in patients with gastrointestinal cancer. A total of 101 patients with gastrointestinal cancer (36 patients with gastric cancer and 65 patients with colorectal cancer) were retrospectively reviewed, and their cancer samples were collected to detect the protein and mRNA expression levels of KIF14 using immunohistochemistry and reverse transcription-quantitative PCR, respectively. KIF14 protein expression was increased in cancer tissues compared with adjacent tissues (all P<0.001). The protein expression levels of KIF14 were positively associated with T stage (P<0.001), distant metastases (P=0.007) and TNM stage (P<0.001), while KIF14 mRNA expression was positively associated with T stage (P<0.001), lymph node metastasis (P=0.004), distant metastases (P=0.001) and TNM stage (P<0.001). High protein and mRNA expression levels of KIF14 were associated with worse DFS (P<0.001) and OS (P=0.016) times. In addition, high KIF14 protein expression independently predicted unfavorable DFS times (P=0.007). Subgroup analysis revealed that in patients with gastric cancer, KIF14 expression was associated with DFS and OS times, while in patients with colorectal cancer, KIF14 expression was only associated with DFS time, but not with OS time. In conclusion, KIF14 expression was not only associated with advanced pathological differentiation and TNM stage but was also associated with poor survival time in patients with gastrointestinal cancer. These results indicate the potential of KIF14 as a biomarker for gastrointestinal cancer prognosis.
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Affiliation(s)
- Ping Chen
- Department of Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, P.R. China
| | - Weining Fan
- Department of Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, P.R. China
| | - Yujin Hou
- Department of Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, P.R. China
| | - Fang Wang
- Department of Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, P.R. China
| | - Na Luo
- Department of Oncology, General Hospital of Ningxia Medical University, Yinchuan, Ningxia Hui Autonomous Region 750004, P.R. China
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Cai Z, Wei Y, Chen S, Gong Y, Fu Y, Dai X, Zhou Y, Yang H, Tang L, Liu H. Screening and identification of key biomarkers in alimentary tract cancers: A bioinformatic analysis. Cancer Biomark 2021; 29:221-233. [PMID: 32623389 DOI: 10.3233/cbm-201580] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND Alimentary tract cancers (ATCs) are the most malignant cancers in the world. Numerous studies have revealed the tumorigenesis, diagnosis and treatment of ATCs, but many mechanisms remain to be explored. METHODS To identify the key genes of ATCs, microarray datasets of oesophageal cancer, gastric cancer and colorectal cancer were obtained from the Gene Expression Omnibus (GEO) database. In total, 207 differentially expressed genes (DEGs) were screened. KEGG and GO function enrichment analyses were conducted, and a protein-protein interaction (PPI) network was generated and gene modules analysis was performed using STRING and Cytoscape. RESULTS Five hub genes were screened, and the associated biological processes indicated that these genes were mainly enriched in cellular processes, protein binding and metabolic processes. Clinical survival analysis showed that COL10A1 and KIF14 may be significantly associated with the tumorigenesis or pathology grade of ATCs. In addition, relative human ATC cell lines along with blood samples and tumour tissues of ATC patients were obtained. The data proved that high expression of COL10A1 and KIF14 was associated with tumorigenesis and could be detected in blood. CONCLUSION In conclusion, the identification of hub genes in the present study helped us to elucidate the molecular mechanisms of tumorigenesis and identify potential diagnostic indicators and targeted treatment for ATCs.
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Affiliation(s)
- Zeling Cai
- Genter of General Surgery, The Affiliated Haimen People's Hospital of Nantong University, Nantong, Jiangsu, China.,Genter of General Surgery, The Affiliated Haimen People's Hospital of Nantong University, Nantong, Jiangsu, China
| | - Yi Wei
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China.,Genter of General Surgery, The Affiliated Haimen People's Hospital of Nantong University, Nantong, Jiangsu, China
| | - Shuai Chen
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China.,Genter of General Surgery, The Affiliated Haimen People's Hospital of Nantong University, Nantong, Jiangsu, China
| | - Yu Gong
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Yue Fu
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Xianghua Dai
- Genter of General Surgery, The Affiliated Haimen People's Hospital of Nantong University, Nantong, Jiangsu, China
| | - Yan Zhou
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Haojun Yang
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Liming Tang
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Hanyang Liu
- Center of Gastrointestinal Disease, The Affiliated Changzhou No. 2 People's Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
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Klimaszewska-Wiśniewska A, Neska-Długosz I, Buchholz K, Durślewicz J, Grzanka D, Kasperska A, Antosik P, Zabrzyński J, Grzanka A, Gagat M. Prognostic Significance of KIF11 and KIF14 Expression in Pancreatic Adenocarcinoma. Cancers (Basel) 2021; 13:cancers13123017. [PMID: 34208606 PMCID: PMC8234517 DOI: 10.3390/cancers13123017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 06/08/2021] [Accepted: 06/11/2021] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Prognostic markers for survival stratification of patients with pancreatic adenocarcinoma (PAC) are missing yet. Therefore, the primary aim of this study was to assess the expression, clinical associations, and survival implications of KIF11 and KIF14 in PACs. In addition, the genes co-expressed with KIF11 or KIF14 were predicted and functionally annotated. Herein, we found that the expression patterns of KIF11 and KIF14 alter significantly in PACs, at both protein and mRNA levels, and this may be harnessed for patient prognosis. KIF11 and KIF14 could be defined as positive prognostic biomarkers based on the protein-based immunohistochemistry data, while they were associated with adverse prognosis based on the transcriptomic data. We also captured a five-gene prognostic signature and the biology associated with it. The findings of the present study suggest that KIF11 or KIF14 proteins, as well as a new five-gene panel, may serve as potentially useful prognostic biomarkers for PAC. Abstract Available biomarkers for pancreatic adenocarcinoma (PAC) are inadequate to guide individual patient prognosis or therapy. Therefore, herein we aimed to verify the hypothesis that differences in the expression of KIF11 and KIF14, i.e., molecular motor proteins being primarily implicated in cell division events could account for the differences in the clinical outcome of PAC patients. In-house immunohistochemistry was used to evaluate the protein expressions of KIF11 and KIF14 in PAC, whereas RNA-seq datasets providing transcript expression data were obtained from public sources. IHC and mRNA results were correlated with clinicopathological features and overall survival (OS). Furthermore, the genes co-expressed with KIF11 or KIF14 were predicted and functionally annotated. In our series, malignant ducts displayed more intense but less abundant KIF11 staining than normal-appearing ducts. The former was also true for KIF14, whereas the prevalence of positive staining was similar in tumor and normal adjacent tissues. Based on categorical immunoreactive scores, we found KIF11 and KIF14 to be frequently downregulated or upregulated in PAC cases, respectively, and those with elevated levels of either protein, or both together, were associated with better prognosis. Specifically, we provide the first evidence that KIF11 or KIF14 proteins can robustly discriminate between patients with better and worse OS, independently of other relevant clinical risk factors. In turn, mRNA levels of KIF11 and KIF14 were markedly elevated in tumor tissues compared to normal tissues, and this coincided with adverse prognosis, even after adjusting for multiple confounders. Tumors with low predicted KIF11 or KIF14 expression were seen to have enrichment for circadian clock, whereas those with high levels were enriched for the genomic instability-related gene set. KIF11 and KIF14 were strongly correlated with one another, and CEP55, ASPM, and GAMT were identified as the main hub genes. Importantly, the combined expression of these five genes emerged as the most powerful independent prognostic indicator associated with poor survival outcome compared to classical clinicopathological factors and any marker alone. In conclusion, our study identifies novel prognostic biomarkers for PAC, which await validation.
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Affiliation(s)
- Anna Klimaszewska-Wiśniewska
- Department of Clinical Pathomorphology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-094 Bydgoszcz, Poland; (I.N.-D.); (K.B.); (J.D.); (D.G.); (A.K.); (P.A.); (J.Z.)
- Correspondence: ; Tel.: +48-52-585-42-00; Fax: +48-52-585-40-49
| | - Izabela Neska-Długosz
- Department of Clinical Pathomorphology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-094 Bydgoszcz, Poland; (I.N.-D.); (K.B.); (J.D.); (D.G.); (A.K.); (P.A.); (J.Z.)
| | - Karolina Buchholz
- Department of Clinical Pathomorphology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-094 Bydgoszcz, Poland; (I.N.-D.); (K.B.); (J.D.); (D.G.); (A.K.); (P.A.); (J.Z.)
- Department of Histology and Embryology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-092 Bydgoszcz, Poland; (A.G.); (M.G.)
| | - Justyna Durślewicz
- Department of Clinical Pathomorphology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-094 Bydgoszcz, Poland; (I.N.-D.); (K.B.); (J.D.); (D.G.); (A.K.); (P.A.); (J.Z.)
| | - Dariusz Grzanka
- Department of Clinical Pathomorphology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-094 Bydgoszcz, Poland; (I.N.-D.); (K.B.); (J.D.); (D.G.); (A.K.); (P.A.); (J.Z.)
| | - Anna Kasperska
- Department of Clinical Pathomorphology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-094 Bydgoszcz, Poland; (I.N.-D.); (K.B.); (J.D.); (D.G.); (A.K.); (P.A.); (J.Z.)
| | - Paulina Antosik
- Department of Clinical Pathomorphology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-094 Bydgoszcz, Poland; (I.N.-D.); (K.B.); (J.D.); (D.G.); (A.K.); (P.A.); (J.Z.)
| | - Jan Zabrzyński
- Department of Clinical Pathomorphology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-094 Bydgoszcz, Poland; (I.N.-D.); (K.B.); (J.D.); (D.G.); (A.K.); (P.A.); (J.Z.)
- Department of General Orthopaedics, Musculoskeletal Oncology and Trauma Surgery, Poznan University of Medical Sciences, 60-572 Poznań, Poland
| | - Alina Grzanka
- Department of Histology and Embryology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-092 Bydgoszcz, Poland; (A.G.); (M.G.)
| | - Maciej Gagat
- Department of Histology and Embryology, Faculty of Medicine, Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University in Toruń, 85-092 Bydgoszcz, Poland; (A.G.); (M.G.)
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Benoit MP, Asenjo AB, Paydar M, Dhakal S, Kwok BH, Sosa H. Structural basis of mechano-chemical coupling by the mitotic kinesin KIF14. Nat Commun 2021; 12:3637. [PMID: 34131133 PMCID: PMC8206134 DOI: 10.1038/s41467-021-23581-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 04/30/2021] [Indexed: 02/05/2023] Open
Abstract
KIF14 is a mitotic kinesin whose malfunction is associated with cerebral and renal developmental defects and several cancers. Like other kinesins, KIF14 couples ATP hydrolysis and microtubule binding to the generation of mechanical work, but the coupling mechanism between these processes is still not fully clear. Here we report 20 high-resolution (2.7-3.9 Å) cryo-electron microscopy KIF14-microtubule structures with complementary functional assays. Analysis procedures were implemented to separate coexisting conformations of microtubule-bound monomeric and dimeric KIF14 constructs. The data provide a comprehensive view of the microtubule and nucleotide induced KIF14 conformational changes. It shows that: 1) microtubule binding, the nucleotide species, and the neck-linker domain govern the transition between three major conformations of the motor domain; 2) an undocked neck-linker prevents the nucleotide-binding pocket to fully close and dampens ATP hydrolysis; 3) 13 neck-linker residues are required to assume a stable docked conformation; 4) the neck-linker position controls the hydrolysis rather than the nucleotide binding step; 5) the two motor domains of KIF14 dimers adopt distinct conformations when bound to the microtubule; and 6) the formation of the two-heads-bound-state introduces structural changes in both motor domains of KIF14 dimers. These observations provide the structural basis for a coordinated chemo-mechanical kinesin translocation model.
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Affiliation(s)
- Matthieu P.M.H. Benoit
- grid.251993.50000000121791997Department Physiology and Biophysics, Albert Einstein College of Medicine, New York, NY USA
| | - Ana B. Asenjo
- grid.251993.50000000121791997Department Physiology and Biophysics, Albert Einstein College of Medicine, New York, NY USA
| | - Mohammadjavad Paydar
- grid.14848.310000 0001 2292 3357Department of Medicine, Institute for Research in Immunology and Cancer, Université de Montréal, Montreal, QC Canada
| | - Sabin Dhakal
- grid.14848.310000 0001 2292 3357Department of Medicine, Institute for Research in Immunology and Cancer, Université de Montréal, Montreal, QC Canada
| | - Benjamin H. Kwok
- grid.14848.310000 0001 2292 3357Department of Medicine, Institute for Research in Immunology and Cancer, Université de Montréal, Montreal, QC Canada
| | - Hernando Sosa
- grid.251993.50000000121791997Department Physiology and Biophysics, Albert Einstein College of Medicine, New York, NY USA
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9
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Hanicinec V, Brynychova V, Rosendorf J, Palek R, Liska V, Oliverius M, Kala Z, Mohelnikova-Duchonova B, Krus I, Soucek P. Gene expression of cytokinesis regulators PRC1, KIF14 and CIT has no prognostic role in colorectal and pancreatic cancer. Oncol Lett 2021; 22:598. [PMID: 34188700 PMCID: PMC8228381 DOI: 10.3892/ol.2021.12859] [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: 03/15/2021] [Accepted: 05/12/2021] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer is one of the most common cancers and pancreatic cancer is among the most fatal and difficult to treat. New prognostic biomarkers are urgently needed to improve the treatment of colorectal and pancreatic cancer. Protein regulating cytokinesis 1 (PRC1), kinesin family member 14 (KIF14) and citron Rho-interacting serine/threonine kinase (CIT) serve important roles in cytokinesis, are strongly associated with cancer progression and have prognostic potential. The present study aimed to investigate the prognostic relevance of the PRC1, KIF14 and CIT genes in colorectal and pancreatic cancer. PRC1, KIF14 and CIT transcript expression was assessed by reverse transcription-quantitative PCR in tumors and paired distant unaffected mucosa from 67 patients with colorectal cancer and tumors and paired non-neoplastic control tissues from 48 patients with pancreatic cancer. The extent of transcript dysregulation between tumor and control tissues and between groups of patients divided by main clinical characteristics, namely patients' age and sex, disease stage, localization and grade, was determined. Finally, the associations of transcript levels in tumors with disease-free interval and overall survival time were evaluated. PRC1, KIF14 and CIT transcripts were upregulated in tumors compared with control tissues. PRC1, KIF14 and CIT levels strongly correlated to each other in both colorectal and pancreatic tumor and control tissues after correction for multiple testing. However, no significant associations were found among the transcript levels of PRC1, KIF14 and CIT and disease-free interval or overall survival time. In summary, the present study demonstrated mutual correlation of PRC1, KIF14 and CIT cytokinesis regulators with no clear prognostic value in pancreatic and colorectal cancers. Hence, according to the results of the present study, transcript levels of these genes cannot be clinically exploited as prognostic biomarkers in colorectal or pancreatic cancer patients.
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Affiliation(s)
- Vojtech Hanicinec
- Biomedical Centre, Faculty of Medicine in Pilsen, Charles University, 32300 Pilsen, Czech Republic
| | - Veronika Brynychova
- Biomedical Centre, Faculty of Medicine in Pilsen, Charles University, 32300 Pilsen, Czech Republic
| | - Jachym Rosendorf
- Biomedical Centre, Faculty of Medicine in Pilsen, Charles University, 32300 Pilsen, Czech Republic.,Deparment of Surgery, Teaching Hospital and Faculty of Medicine in Pilsen, Charles University, 30460 Pilsen, Czech Republic
| | - Richard Palek
- Biomedical Centre, Faculty of Medicine in Pilsen, Charles University, 32300 Pilsen, Czech Republic.,Deparment of Surgery, Teaching Hospital and Faculty of Medicine in Pilsen, Charles University, 30460 Pilsen, Czech Republic
| | - Vaclav Liska
- Biomedical Centre, Faculty of Medicine in Pilsen, Charles University, 32300 Pilsen, Czech Republic.,Deparment of Surgery, Teaching Hospital and Faculty of Medicine in Pilsen, Charles University, 30460 Pilsen, Czech Republic
| | - Martin Oliverius
- Department of Surgery, Faculty Hospital Kralovske Vinohrady and Third Faculty of Medicine, Charles University, 10000 Prague, Czech Republic
| | - Zdenek Kala
- Department of Surgery, University Hospital Brno and Faculty of Medicine, Masaryk University, 62500 Brno, Czech Republic
| | - Beatrice Mohelnikova-Duchonova
- Department of Oncology and Institute of Molecular and Translational Medicine, Faculty of Medicine and Dentistry, Palacky University, 77900 Olomouc, Czech Republic
| | - Ivona Krus
- Department of Toxicogenomics, National Institute of Public Health, Prague 10042, Czech Republic
| | - Pavel Soucek
- Biomedical Centre, Faculty of Medicine in Pilsen, Charles University, 32300 Pilsen, Czech Republic.,Department of Toxicogenomics, National Institute of Public Health, Prague 10042, Czech Republic
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10
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The Drosophila Forkhead/Fox transcription factor Jumeau mediates specific cardiac progenitor cell divisions by regulating expression of the kinesin Nebbish. Sci Rep 2021; 11:3221. [PMID: 33547352 PMCID: PMC7864957 DOI: 10.1038/s41598-021-81894-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Accepted: 12/28/2020] [Indexed: 11/16/2022] Open
Abstract
Forkhead (Fkh/Fox) domain transcription factors (TFs) mediate multiple cardiogenic processes in both mammals and Drosophila. We showed previously that the Drosophila Fox gene jumeau (jumu) controls three categories of cardiac progenitor cell division—asymmetric, symmetric, and cell division at an earlier stage—by regulating Polo kinase activity, and mediates the latter two categories in concert with the TF Myb. Those observations raised the question of whether other jumu-regulated genes also mediate all three categories of cardiac progenitor cell division or a subset thereof. By comparing microarray-based expression profiles of wild-type and jumu loss-of-function mesodermal cells, we identified nebbish (neb), a kinesin-encoding gene activated by jumu. Phenotypic analysis shows that neb is required for only two categories of jumu-regulated cardiac progenitor cell division: symmetric and cell division at an earlier stage. Synergistic genetic interactions between neb, jumu, Myb, and polo and the rescue of jumu mutations by ectopic cardiac mesoderm-specific expression of neb demonstrate that neb is an integral component of a jumu-regulated subnetwork mediating cardiac progenitor cell divisions. Our results emphasize the central role of Fox TFs in cardiogenesis and illustrate how a single TF can utilize different combinations of other regulators and downstream effectors to control distinct developmental processes.
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11
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Mosca L, Ilari A, Fazi F, Assaraf YG, Colotti G. Taxanes in cancer treatment: Activity, chemoresistance and its overcoming. Drug Resist Updat 2021; 54:100742. [PMID: 33429249 DOI: 10.1016/j.drup.2020.100742] [Citation(s) in RCA: 121] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 11/12/2020] [Accepted: 11/16/2020] [Indexed: 02/07/2023]
Abstract
Since 1984, when paclitaxel was approved by the FDA for the treatment of advanced ovarian carcinoma, taxanes have been widely used as microtubule-targeting antitumor agents. However, their historic classification as antimitotics does not describe all their functions. Indeed, taxanes act in a complex manner, altering multiple cellular oncogenic processes including mitosis, angiogenesis, apoptosis, inflammatory response, and ROS production. On the one hand, identification of the diverse effects of taxanes on oncogenic signaling pathways provides opportunities to apply these cytotoxic drugs in a more rational manner. On the other hand, this may facilitate the development of novel treatment modalities to surmount anticancer drug resistance. In the latter respect, chemoresistance remains a major impediment which limits the efficacy of antitumor chemotherapy. Taxanes have shown impact on key molecular mechanisms including disruption of mitotic spindle, mitosis slippage and inhibition of angiogenesis. Furthermore, there is an emerging contribution of cellular processes including autophagy, oxidative stress, epigenetic alterations and microRNAs deregulation to the acquisition of taxane resistance. Hence, these two lines of findings are currently promoting a more rational and efficacious taxane application as well as development of novel molecular strategies to enhance the efficacy of taxane-based cancer treatment while overcoming drug resistance. This review provides a general and comprehensive picture on the use of taxanes in cancer treatment. In particular, we describe the history of application of taxanes in anticancer therapeutics, the synthesis of the different drugs belonging to this class of cytotoxic compounds, their features and the differences between them. We further dissect the molecular mechanisms of action of taxanes and the molecular basis underlying the onset of taxane resistance. We further delineate the possible modalities to overcome chemoresistance to taxanes, such as increasing drug solubility, delivery and pharmacokinetics, overcoming microtubule alterations or mitotic slippage, inhibiting drug efflux pumps or drug metabolism, targeting redox metabolism, immune response, and other cellular functions.
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Affiliation(s)
- Luciana Mosca
- Department of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, P. le A. Moro 5, 00185 Rome, Italy
| | - Andrea Ilari
- Institute of Molecular Biology and Pathology, Italian National Research Council (IBPM-CNR), c/o Department of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, P.le A. Moro 5, 00185 Rome, Italy.
| | - Francesco Fazi
- Dept. Anatomical, Histological, Forensic & Orthopedic Sciences, Section of Histology and Medical Embryology, Sapienza University, Via A. Scarpa 14-16, 00161 Rome, Italy
| | - Yehuda G Assaraf
- The Fred Wyszkowski Cancer Research Lab, Faculty of Biology, Technion-Israel Institute of Technology, Haifa 3200003, Israel
| | - Gianni Colotti
- Institute of Molecular Biology and Pathology, Italian National Research Council (IBPM-CNR), c/o Department of Biochemical Sciences "A. Rossi Fanelli", Sapienza University of Rome, P.le A. Moro 5, 00185 Rome, Italy.
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12
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Liu J, Li D, Zhang X, Li Y, Ou J. Histone Demethylase KDM3A Promotes Cervical Cancer Malignancy Through the ETS1/KIF14/Hedgehog Axis. Onco Targets Ther 2020; 13:11957-11973. [PMID: 33239895 PMCID: PMC7682655 DOI: 10.2147/ott.s276559] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 10/22/2020] [Indexed: 12/17/2022] Open
Abstract
Background Lysine demethylase 3A (KDM3A) has been increasingly recognized as an important epigenetic regulator involved in cancer development. This study aims to explore the relevance of KDM3A to cervical cancer (CC) progression and the molecules involved. Materials and Methods Tumor and the adjacent tissues from CC patients were collected. KDM3A expression in tissues and CC cell lines and its correlation with the survival and prognosis of patients were determined. Malignant potentials of CC cells and the angiogenesis ability of HUVECs were measured to evaluate the function of KDM3A on CC progression. The interactions among KDM3A, H3K9me2 and ETS1, and the binding between ETS1 and KIF14 were validated through ChIP and luciferase assays. Altered expression of ETS1 and KIF14 was introduced to explore their roles in CC development. Results KDM3A was abundantly expressed in CC tissues and cells and linked to dismal prognosis of CC patients. Knockdown of KDM3A suppressed malignant behaviors of CC cells. KDM3A was found to increase ETS1 expression through the demethylation of H3K9me2. Overexpression of ETS1 blocked the inhibiting roles of sh-KDM3A. ETS1 could bind to the promoter region of KIF14 to trigger its transcription. Overexpression ofKIF14aggravated the malignant behaviors of CC cells and the angiogenesis ability of HUVECs, and it activated the Hedgehog signaling pathway. Artificial activation of Hedgehog by Sag1.5 diminished the effects of sh-KDM3A. These changes were reproduced in vivo. Conclusion This study evidenced that KDM3A promotes ETS1-mediated KIF14 transcription to promote CC progression with the involvement of the Hedgehog activation.
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Affiliation(s)
- Jinyu Liu
- Frist Department of Gynecologic Oncology, Jilin Cancer Hospital, Changchun 130012, Jilin, People's Republic of China
| | - Dongqing Li
- Second Department of Gynecologic Oncology, Jilin Cancer Hospital, Changchun 130012, Jilin, People's Republic of China
| | - Xin Zhang
- Department of Rheumatology and Immunology, China-Japan Union Hospital of Jilin University, Changchun 130033, Jilin, People's Republic of China
| | - Yanyan Li
- Frist Department of Gynecologic Oncology, Jilin Cancer Hospital, Changchun 130012, Jilin, People's Republic of China
| | - Jian Ou
- Department of Gynecological Oncology Radiotherapy, Jilin Cancer Hospital, Changchun 130012, Jilin, People's Republic of China
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13
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Chen X, Zhang D, Jiang F, Shen Y, Li X, Hu X, Wei P, Shen X. Prognostic Prediction Using a Stemness Index-Related Signature in a Cohort of Gastric Cancer. Front Mol Biosci 2020; 7:570702. [PMID: 33134315 PMCID: PMC7504590 DOI: 10.3389/fmolb.2020.570702] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 08/14/2020] [Indexed: 12/24/2022] Open
Abstract
Background With characteristic self-renewal and multipotent differentiation, cancer stem cells (CSCs) have a crucial influence on the metastasis, relapse and drug resistance of gastric cancer (GC). However, the genes that participates in the stemness of GC stem cells have not been identified. Methods The mRNA expression-based stemness index (mRNAsi) was analyzed with differential expressions in GC. The weighted gene co-expression network analysis (WGCNA) was utilized to build a co-expression network targeting differentially expressed genes (DEG) and discover mRNAsi-related modules and genes. We assessed the association between the key genes at both the transcription and protein level. Gene Expression Omnibus (GEO) database was used to validate the expression levels of the key genes. The risk model was established according to the least absolute shrinkage and selection operator (LASSO) Cox regression analysis. Furthermore, we determined the prognostic value of the model by employing Kaplan-Meier (KM) plus multivariate Cox analysis. Results GC tissues exhibited a substantially higher mRNAsi relative to the healthy non-tumor tissues. Based on WGCNA, 17 key genes (ARHGAP11A, BUB1, BUB1B, C1orf112, CENPF, KIF14, KIF15, KIF18B, KIF4A, NCAPH, PLK4, RACGAP1, RAD54L, SGO2, TPX2, TTK, and XRCC2) were identified. These key genes were clearly overexpressed in GC and validated in the GEO database. The protein-protein interaction (PPI) network as assessed by STRING indicated that the key genes were tightly connected. After LASSO analysis, a nine-gene risk model (BUB1B, NCAPH, KIF15, RAD54L, KIF18B, KIF4A, TTK, SGO2, C1orf112) was constructed. The overall survival in the high-risk group was relatively poor. The area under curve (AUC) of risk score was higher compared to that of clinicopathological characteristics. According to the multivariate Cox analysis, the nine-gene risk model was a predictor of disease outcomes in GC patients (HR, 7.606; 95% CI, 3.037-19.051; P < 0.001). We constructed a prognostic nomogram with well-fitted calibration curve based on risk score and clinical data. Conclusion The 17 mRNAsi-related key genes identified in this study could be potential treatment targets in GC treatment, considering that they can inhibit the stemness properties. The nine-gene risk model can be employed to predict the disease outcomes of the patients.
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Affiliation(s)
- Xiaowei Chen
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Dawei Zhang
- Nanjing Municipal Center for Disease Control and Prevention, Nanjing, China
| | - Fei Jiang
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Yan Shen
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Xin Li
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Xueju Hu
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Pingmin Wei
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
| | - Xiaobing Shen
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Southeast University, Nanjing, China
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14
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Wang Q, Han B, Huang W, Qi C, Liu F. Identification of KIF15 as a potential therapeutic target and prognostic factor for glioma. Oncol Rep 2020; 43:1035-1044. [PMID: 32323839 PMCID: PMC7057805 DOI: 10.3892/or.2020.7510] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2019] [Accepted: 11/18/2019] [Indexed: 02/02/2023] Open
Abstract
Glioma is the most commonly diagnosed primary intracranial malignant tumor with rapid growth, easy recurrence and thus poor prognosis. In the present study, the role of kinesin‑12 (KIF15) in glioma was revealed. Immunohistochemical staining and western blot analysis were used to detect the protein expression. An MTT assay was performed to evaluate cell proliferation. Flow cytometric analysis was utilized to assess cell apoptosis and the cell cycle. A mouse xenograft model was constructed for in vivo study. The results indicated that KIF15 was significantly upregulated in glioma tumor tissues and positively correlated with pathological staging, recurrence risk and poor prognosis. Silencing of KIF15 could inhibit cell proliferation and stemness of glioma cells, arrest cells in the G2 phase and induce cell apoptosis. The in vivo study verified the inhibitory effect of KIF15 knockdown on tumor growth. The mechanism study demonstrated the regulation of apoptosis‑ and cycle‑related proteins in the KIF15 KD‑induced inhibition of glioma. KIF15 was revealed to function as a tumor promoter in the development and progression of glioma. KIF15 also served as a prognostic indicator for glioma and may be a therapeutic target for glioma therapy.
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Affiliation(s)
- Qilong Wang
- Department of Neurosurgery, Nanjing Medical University Affiliated Changzhou No. 2 People's Hospital, Changzhou, Jiangsu 213003, P.R. China
| | - Bin Han
- Department of Neurosurgery, Nanjing Medical University Affiliated Changzhou No. 2 People's Hospital, Changzhou, Jiangsu 213003, P.R. China
| | - Wu Huang
- Department of Neurosurgery, Nanjing Medical University Affiliated Changzhou No. 2 People's Hospital, Changzhou, Jiangsu 213003, P.R. China
| | - Chunjian Qi
- Department of Central Lab, Nanjing Medical University Affiliated Changzhou No. 2 People's Hospital, Changzhou, Jiangsu 213003, P.R. China
| | - Fang Liu
- Department of Neurosurgery, Nanjing Medical University Affiliated Changzhou No. 2 People's Hospital, Changzhou, Jiangsu 213003, P.R. China
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15
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Wang Q, Zhang L, Yan Z, Xie L, An Y, Li H, Han Y, Zhang G, Dong H, Zheng H, Zhu W, Li Y, Wang Y, Guo X. OScc: an online survival analysis web server to evaluate the prognostic value of biomarkers in cervical cancer. Future Oncol 2019; 15:3693-3699. [DOI: 10.2217/fon-2019-0412] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Aim: To establish a web server that can mutually validate prognostic biomarkers of cervical cancer. Methods: Four datasets including expression profiling and relative clinical follow-up data were collected from Gene Expression Omnibus and The Cancer Genome Atlas. The web server was developed by R software. Results: The web server was named OScc including 690 patients and can be accessed at http://bioinfo.henu.edu.cn/CESC/CESCList.jsp . The Kaplan–Meier survival curves with log-rank p-value and hazard ratio will be generated of interested gene in OScc. Compared with previous predictive tools, OScc had the advantages of registration-free, larger sample size and subgroup analysis. Conclusion: The OScc is highly valuable to perform the preliminary assessment and validation of new or interested prognostic biomarkers for cervical cancer.
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Affiliation(s)
- Qiang Wang
- Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China
| | - Lu Zhang
- Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China
| | - Zhongyi Yan
- Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China
| | - Longxiang Xie
- Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China
| | - Yang An
- Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China
| | - Huimin Li
- Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China
| | - Yali Han
- Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China
| | - Guosen Zhang
- Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China
| | - Huan Dong
- Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China
| | - Hong Zheng
- Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China
| | - Wan Zhu
- Department of Anesthesia, Stanford University, Stanford, CA 94305, USA
| | - Yongqiang Li
- Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China
| | - Yunlong Wang
- Henan Bioengineering Research Center, Zhengzhou 450046, PR China
| | - Xiangqian Guo
- Department of Preventive Medicine, Institute of Biomedical Informatics, Kaifeng Municipal Key Laboratory of Cell Signal Transduction, Bioinformatics Center, Henan Provincial Engineering Centre for Tumor Molecular Medicine, School of Software, School of Basic Medical Sciences, Henan University, Kaifeng 475004, PR China
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16
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Chen T, Yang S, Xu J, Lu W, Xie X. Transcriptome sequencing profiles of cervical cancer tissues and SiHa cells. Funct Integr Genomics 2019; 20:211-221. [PMID: 31456134 DOI: 10.1007/s10142-019-00706-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 07/08/2019] [Accepted: 07/26/2019] [Indexed: 02/07/2023]
Abstract
High-risk human papillomavirus (HPV) is a causal factor for cervical cancer, of which HPV16 is the predominant genotype, but the detailed mechanism remains to be elucidated. In this study, we performed transcriptome sequencing in cervical cancer tissues with HPV16-positive and normal tissues with HPV16-negative, and SiHa cells with or without HPV16 E6/E7 knockdown, and identified 140 differential expressed genes (DEGs) in two data sets. We carried out a series of bioinformatic analyses to learn more about the 140 DEGs, and found that 140 DEGs were mostly enriched in cell cycle and DNA repair through Kyoto Encyclopedia of Genes and Genomes pathway enrichment, Gene Ontology annotation, and gene set enrichment analysis. A total of 20 genes including RMI1, MKI67, FANCB, KIF14, CENPI, RACGAP1, EXO1, KIF4A, FOXM1, C19orf57, PSRC1, NUSAP1, CIT, NDC80, MCM7, GINS2, MCM6, ORC1, TLX2, and UHRF1 were screened by co-expression analysis; of those, the expressions of 6 (CENPI, FANCB, KIF14, ORC1, RACGAP1, and RMI1) were verified by qRT-PCR. Further, we found that E2F family, NF-Y, AhR:Arnt, and KROX family may be involved in modulating DEGs by TransFind prediction. TF2DNA database and co-expression analysis suggested that 12 TFs (ZNF367, TLX2, DEPDC1B, E2F8, ZNF541, EGR2, ZMAT3, HES6, CEBPA, MYBL2, FOXM1, and RAD51) were upstream modulators of DEGs. Our findings may provide a new understanding for effects of HPV oncogenes in the maintenance of cancerous state at the transcriptional level.
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Affiliation(s)
- Tingting Chen
- Department of Gynecologic Oncology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shizhou Yang
- Department of Gynecologic Oncology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Junfen Xu
- Department of Gynecologic Oncology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Weiguo Lu
- Department of Gynecologic Oncology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xing Xie
- Department of Gynecologic Oncology, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China.
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17
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Zhang L, Zhu G, Wang X, Liao X, Huang R, Huang C, Huang P, Zhang J, Wang P. Genome‑wide investigation of the clinical significance and prospective molecular mechanisms of kinesin family member genes in patients with lung adenocarcinoma. Oncol Rep 2019; 42:1017-1034. [PMID: 31322267 PMCID: PMC6667890 DOI: 10.3892/or.2019.7236] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2019] [Accepted: 07/11/2019] [Indexed: 12/24/2022] Open
Abstract
The current study aimed to identify the potential clinical significance and molecular mechanisms of kinesin (KIF) family member genes in lung adenocarcinoma (LUAD) using genome-wide RNA sequencing (RNA-seq) datasets derived from The Cancer Genome Atlas (TCGA) database. Clinical parameters and RNA-seq data of patients with LUAD from the TCGA database enabled the assessment of the clinical significance of KIF genes, while the potential mechanisms of their interactions in LUAD were investigated by gene set enrichment analysis (GSEA). A gene signature with potential prognostic value was constructed via a stepwise multivariable Cox analysis. In total, 23 KIF genes were identified to be differentially expressed genes (DEGs) between the LUAD tumor and adjacent non-cancerous tissues. Of these, 8 differentially expressed KIF genes were strongly found to be strongly associated with the overall survival of patients with LUAD. Three of these genes were found to be able to be grouped as a potential prognostic gene signature. Patients with higher risk scores calculated using this gene signature were found to have a markedly higher risk of mortality (adjusted P=0.003; adjusted HR, 1.576; 95% CI, 1.166–2.129). Time-dependent receiver operating characteristic analysis indicated that this prognostic signature was able to accurately predict patient prognosis with an area under curve of 0.636, 0.643,0.665, 0.670 and 0.593 for the 1-, 2-, 3-, 4- and 5-year survival, respectively. This prognostic gene signature was identified as an independent risk factor for LUAD and was able to more accurately predict prognosis in comparison to other known clinical parameters, as shown via comprehensive survival analysis. GSEA enrichment revealed that that KIF14, KIF18B and KIF20A mediated basic cell physiology through the regulation of the cell cycle, DNA replication, and DNA repair biological processes and pathways. On the whole, the findings of this study identified 23 KIF genes that were DEGs between LUAD tumor and adjacent non-cancerous tissues. In total, 8 of these genes had the potential to function as prognostic and diagnostic biomarkers in patients with LUAD.
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Affiliation(s)
- Linbo Zhang
- Department of Health Management and Division of Physical Examination, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Guangzhi Zhu
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Xiangkun Wang
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Xiwen Liao
- Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Rui Huang
- Department of Hematology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Chunxia Huang
- Department of Health Management and Division of Physical Examination, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Ping Huang
- Department of Health Management and Division of Physical Examination, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Jianquan Zhang
- Department of Respiratory Medicine, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
| | - Peng Wang
- Department of Health Management and Division of Physical Examination, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, P.R. China
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Observations on spontaneous tumor formation in mice overexpressing mitotic kinesin Kif14. Sci Rep 2018; 8:16152. [PMID: 30385851 PMCID: PMC6212535 DOI: 10.1038/s41598-018-34603-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 10/09/2018] [Indexed: 02/06/2023] Open
Abstract
The KIF14 locus is gained and overexpressed in various malignancies, with prognostic relevance. Its protein product, a mitotic kinesin, accelerates growth of normal mammary epithelial cells in vitro and retinoblastoma tumours in a mouse model, while KIF14 knockdown blocks growth of brain, liver, ovarian, breast, prostate, and other tumour cells and xenografts. However, the tumour-initiating effects of Kif14 overexpression have not been studied. We aged a cohort of Kif14-overexpressing transgenic mice and wild-type littermates and documented survival, cause of death, and tumour burden. The Kif14 transgene was expressed in all tissues examined, and was associated with increased proliferation marker expression. Neither mouse weights nor overall survival differed between genotypes. However, Kif14 transgenic mice showed a higher incidence of fatal lymphomas (73 vs. 50%, p = 0.03, Fisher’s exact test), primarily follicular and diffuse B-cell lymphomas. Non-tumour findings included a bilateral ballooning degeneration of lens in 12% of Kif14 transgenic mice but no wild-type mice (p = 0.02). Overall, this work reveals a novel association of Kif14 overexpression with lymphoma but suggests that Kif14 does not have as prominent a role in initiating cancer in other cell types as it does in accelerating tumour development in response to other oncogenic insults.
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Schiewek J, Schumacher U, Lange T, Joosse SA, Wikman H, Pantel K, Mikhaylova M, Kneussel M, Linder S, Schmalfeldt B, Oliveira-Ferrer L, Windhorst S. Clinical relevance of cytoskeleton associated proteins for ovarian cancer. J Cancer Res Clin Oncol 2018; 144:2195-2205. [PMID: 30094535 DOI: 10.1007/s00432-018-2710-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 07/16/2018] [Indexed: 02/07/2023]
Abstract
PURPOSE Ovarian cancer has a high mortality rate and up to now no reliable molecular prognostic biomarkers have been established. During malignant progression, the cytoskeleton is strongly altered. Hence we analyzed if expression of certain cytoskeleton-associated proteins is correlated with clinical outcome of ovarian cancer patients. METHODS First, in silico analysis was performed using the cancer genome atlas (TCGA), the human expression atlas and Pubmed. Selected candidates were validated on 270 ovarian cancer patients by qRT-PCR and/or by western blotting. RESULTS In silico analysis revealed that mRNAs of 214 cytoskeleton-associated proteins are detectable in ovarian cancer tissue. Among these, we selected 17 proteins that participate in cancer disease progression and cytoskeleton modulation: KIF14, KIF20A, KIF18A, ASPM, CEP55, DLGAP5, MAP9, EB1, KATNA1, DIAPH1, ANLN, SCIN, CCDC88A, FSCN1, GSN, VASP and CDC42. The first ten candidates interact with microtubules (MTs) and the others bind to actin filaments. Validation on clinical samples of ovarian cancer patients revealed that the expression levels of DIAPH1, EB1, KATNA1, KIF14 and KIF18A significantly correlated with clinical and histological parameters of ovarian cancer. High DIAPH1, EB1, KATNA1 and KIF14 protein levels were associated with increased overall survival (OAS) of ovarian cancer patients, while high DIAPH1 and EB1 protein levels were also associated with low differentiation of respective tumors (G2/3). Moreover, DIAPH1 was the only protein, whose expression significantly correlated with increased recurrence-free interval (RFI). CONCLUSION Mainly the expression levels of the MT-associated proteins analyzed in this study, correlated with prolonged survival of ovarian cancer patients. From > 200 genes initially considered, 17 cytoskeletal proteins are involved in cancer progression according to the literature. Among these, four proteins significantly correlated with improved survival of ovarian cancer patients.
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Affiliation(s)
- Johanna Schiewek
- Department of Biochemistry and Signal Transduction, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Udo Schumacher
- Institute of Anatomy and Experimental Morphology, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Tobias Lange
- Institute of Anatomy and Experimental Morphology, University Cancer Center Hamburg, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Simon A Joosse
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Harriet Wikman
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Klaus Pantel
- Department of Tumor Biology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Marina Mikhaylova
- DFG Emmy Noether Group 'Neuronal Protein Transport', Center for Molecular Neurobiology, ZMNH, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany
| | - Matthias Kneussel
- Department of Molecular Neurogenetics, Center for Molecular Neurobiology, ZMNH, University Medical Center Hamburg-Eppendorf, Falkenried 94, 20251, Hamburg, Germany
| | - Stefan Linder
- Institute for Medical Microbiology, Virology and Hygiene, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - Barbara Schmalfeldt
- Department of Gynecology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Leticia Oliveira-Ferrer
- Department of Gynecology, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany
| | - Sabine Windhorst
- Department of Biochemistry and Signal Transduction, University Medical Center Hamburg-Eppendorf, Martinistrasse 52, 20246, Hamburg, Germany.
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Zeng W, Rao N, Li Q, Wang G, Liu D, Li Z, Yang Y. Genome-wide Analyses on Single Disease Samples for Potential Biomarkers and Biological Features of Molecular Subtypes: A Case Study in Gastric Cancer. Int J Biol Sci 2018; 14:833-842. [PMID: 29989098 PMCID: PMC6036754 DOI: 10.7150/ijbs.24816] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2018] [Accepted: 03/06/2018] [Indexed: 02/06/2023] Open
Abstract
Purpose: Based on the previous 3 well-defined subtypes of gastric adenocarcinoma (invasive, proliferative and metabolic), we aimed to find potential biomarkers and biological features of each subtype. Methods: The genome-wide co-expression network of each subtype of gastric cancer was firstly constructed. Then, the functional modules in each genome-wide co-expression network were divided. Next, the key genes were screened from each functional module. Finally, the enrichment analysis was performed on the key genes to mine the biological features of each subtype. Comparative analysis between each pair of subtypes was performed to find the common and unique features among different subtypes. Results: A total of 207 key genes were identified in invasive, 215 key genes in proliferative, and 204 key genes in metabolic subtypes. Most key genes in each subtype were unique and new findings compared with that of the existing related researches. The GO and KEGG enrichment analyses for the key genes of each subtype revealed important biological features of each subtype. Conclusions: For a subtype, most identified key genes and important biological features were unique, which means that the key genes can be used as the potential biomarker of a subtype, and each subtype of gastric cancer might have different occurrence and development mechanisms. Thus, different diagnosis and therapy methods should be applied to the invasive, proliferative and metabolic subtypes of gastric cancer.
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Affiliation(s)
- Wei Zeng
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,Key Laboratory for NeuroInformation of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu 610054, China.,Department of Biomedical Engineering, School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, 643000, China
| | - Nini Rao
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,Key Laboratory for NeuroInformation of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu 610054, China.,Institute of Electronic and Information Engineering of UESTC in Guangdong, Dongguan, 523808, China
| | - Qian Li
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,Key Laboratory for NeuroInformation of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Guangbin Wang
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,Key Laboratory for NeuroInformation of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Dingyun Liu
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,Key Laboratory for NeuroInformation of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Zhengwen Li
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,Key Laboratory for NeuroInformation of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Yuntao Yang
- Center for Informational Biology, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,Key Laboratory for NeuroInformation of the Ministry of Education, University of Electronic Science and Technology of China, Chengdu 610054, China
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21
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Biomarkers could facilitate prediction of worse clinical outcome of cancer with special insight to cervical cancer. Contemp Oncol (Pozn) 2018; 22:1-7. [PMID: 29692656 PMCID: PMC5909723 DOI: 10.5114/wo.2018.74386] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2018] [Accepted: 02/01/2018] [Indexed: 01/03/2023] Open
Abstract
Cervical cancer incidence, globally, is second only to malignant breast cancer. The main causative factor is thought to be human papillomavirus (HPV) infection as a result of many sexual partners. Despite radiotherapy, chemotherapy and surgical treatment, the survival rate of patients with advanced disease is low. Metastasis is one of the stages of cancerogenesis in which tumour cells acquire the ability to migrate and create tumour secondary foci. Tumour biomarkers, proteins produced by neoplastic cells, quantified in body fluids or in tissues, play a key role in treatment monitoring and in determining the prognosis for further years of life. In recent years, the search for cervical cancer biomarkers has been intensively sought. They can become a decisive factor in making radical treatment and, in the near future, a potential therapeutic goal. The article presents and briefly describes the biomarkers of metastasis in cervical cancer studied in recent years and highlights their potential therapeutic use.
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22
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Long NP, Jung KH, Yoon SJ, Anh NH, Nghi TD, Kang YP, Yan HH, Min JE, Hong SS, Kwon SW. Systematic assessment of cervical cancer initiation and progression uncovers genetic panels for deep learning-based early diagnosis and proposes novel diagnostic and prognostic biomarkers. Oncotarget 2017; 8:109436-109456. [PMID: 29312619 PMCID: PMC5752532 DOI: 10.18632/oncotarget.22689] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 10/27/2017] [Indexed: 12/18/2022] Open
Abstract
Although many outstanding achievements in the management of cervical cancer (CxCa) have obtained, it still imposes a major burden which has prompted scientists to discover and validate new CxCa biomarkers to improve the diagnostic and prognostic assessment of CxCa. In this study, eight different gene expression data sets containing 202 cancer, 115 cervical intraepithelial neoplasia (CIN), and 105 normal samples were utilized for an integrative systems biology assessment in a multi-stage carcinogenesis manner. Deep learning-based diagnostic models were established based on the genetic panels of intrinsic genes of cervical carcinogenesis as well as on the unbiased variable selection approach. Survival analysis was also conducted to explore the potential biomarker candidates for prognostic assessment. Our results showed that cell cycle, RNA transport, mRNA surveillance, and one carbon pool by folate were the key regulatory mechanisms involved in the initiation, progression, and metastasis of CxCa. Various genetic panels combined with machine learning algorithms successfully differentiated CxCa from CIN and normalcy in cross-study normalized data sets. In particular, the 168-gene deep learning model for the differentiation of cancer from normalcy achieved an externally validated accuracy of 97.96% (99.01% sensitivity and 95.65% specificity). Survival analysis revealed that ZNF281 and EPHB6 were the two most promising prognostic genetic markers for CxCa among others. Our findings open new opportunities to enhance current understanding of the characteristics of CxCa pathobiology. In addition, the combination of transcriptomics-based signatures and deep learning classification may become an important approach to improve CxCa diagnosis and management in clinical practice.
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Affiliation(s)
| | - Kyung Hee Jung
- Department of Drug Development, College of Medicine, Inha University, Incheon 22212, Korea
| | - Sang Jun Yoon
- College of Pharmacy, Seoul National University, Seoul 08826, Korea
| | - Nguyen Hoang Anh
- School of Medicine, Vietnam National University, Ho Chi Minh 70000, Vietnam
| | - Tran Diem Nghi
- School of Medicine, Vietnam National University, Ho Chi Minh 70000, Vietnam
| | - Yun Pyo Kang
- College of Pharmacy, Seoul National University, Seoul 08826, Korea
| | - Hong Hua Yan
- Department of Drug Development, College of Medicine, Inha University, Incheon 22212, Korea
| | - Jung Eun Min
- College of Pharmacy, Seoul National University, Seoul 08826, Korea
| | - Soon-Sun Hong
- Department of Drug Development, College of Medicine, Inha University, Incheon 22212, Korea
| | - Sung Won Kwon
- College of Pharmacy, Seoul National University, Seoul 08826, Korea
- Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul 08826, Korea
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23
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The kinesin KIF14 is overexpressed in medulloblastoma and downregulation of KIF14 suppressed tumor proliferation and induced apoptosis. J Transl Med 2017; 97:946-961. [PMID: 28504687 DOI: 10.1038/labinvest.2017.48] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2016] [Revised: 03/07/2017] [Accepted: 03/25/2017] [Indexed: 12/30/2022] Open
Abstract
Medulloblastoma (MB) is the most common malignant brain tumor in childhood. At present, there is no well-established targeted drug for majority of patients. The kinesin family member 14 (KIF14) is a novel oncogene located on chromosome 1q and is dysregulated in multiple cancers. The objectives of this study were to evaluate KIF14 expression and chromosome 1q copy number in MB, and to delineate its biological functions in MB pathogenesis. By quantitative RT-PCR and immunohistochemistry, we found KIF14 was overexpressed in MB. Increased KIF14 expression at protein level was strongly associated with shorter progression-free survival (P=0.0063) and overall survival (P=0.0083). Fluorescence in situ hybridization (FISH) analysis confirmed genomic gain of chromosome 1q in 17/93 (18.3%) of MB. Combined genetic and immunohistochemical analyses revealed that 76.5% of MB with 1q gain showed consistent overexpression of KIF14, and a tight link between chromosome 1q gain and KIF14 overexpression (P=0.03). Transient, siRNAs-mediated downregulation of KIF14 suppressed cell proliferation and induced apoptosis in two MB cell lines. Stably KIF14 knockdown by shRNAs inhibited cell viability, colony formation, migration and invasion, and tumor sphere formation in MB cells. We conclude that KIF14 is dysregulated in MB and is an adverse prognostic factor for survival. Furthermore, KIF14 is part of MB biology and is a potential therapeutic target for MB.
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24
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Shi X, Sun X. Regulation of paclitaxel activity by microtubule-associated proteins in cancer chemotherapy. Cancer Chemother Pharmacol 2017; 80:909-917. [PMID: 28741098 DOI: 10.1007/s00280-017-3398-2] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2017] [Accepted: 07/17/2017] [Indexed: 11/30/2022]
Abstract
Microtubules, highly dynamic components of the cytoskeleton, participate in diverse cellular activities such as mitosis, cell migration, and intracellular trafficking. Dysregulation of microtubule dynamics contributes to the development of serious diseases, including cancer. The dynamic properties and functions of microtubule network are regulated by microtubule-associated proteins. Paclitaxel, an anti-microtubule agent of the taxane family, has shown a success in clinical treatment of many cancer patients. However, the variable response activity of patients and acquired resistance to paclitaxel limit the clinical use of the drug. Accumulating studies show that microtubule-associated proteins can regulate paclitaxel sensitivity in a wide range of cancer types. In this review, we will describe the roles of various microtubule-associated proteins in the regulation of paclitaxel in cancers. Particularly, we will focus on the modulation of centrosomal proteins in paclitaxel resistance. Improved understandings of how these proteins act might predict treatment responses and provide insights into more rational chemotherapeutic regimens in clinical practice.
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Affiliation(s)
- Xingjuan Shi
- Key Laboratory of Developmental Genes and Human Disease, Institute of Life Sciences, Southeast University, Nanjing, 210096, China.
| | - Xiaoou Sun
- School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, 510006, China.
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25
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Liao S, Xiao S, Chen H, Zhang M, Chen Z, Long Y, Gao L, Zhu G, He J, Peng S, Xiong W, Zeng Z, Li Z, Zhou M, Li X, Ma J, Wu M, Xiang J, Li G, Zhou Y. CD38 enhances the proliferation and inhibits the apoptosis of cervical cancer cells by affecting the mitochondria functions. Mol Carcinog 2017; 56:2245-2257. [PMID: 28544069 DOI: 10.1002/mc.22677] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Revised: 03/28/2017] [Accepted: 05/20/2017] [Indexed: 01/10/2023]
Abstract
Cervical cancer is one of the most common malignant tumors in women all over the world. The exact mechanism of occurrence and development of cervical cancer has not been fully elucidated. CD38 is a type II transmembrane glycoprotein, which was found to mediate diverse activities, including signal transduction, cell adhesion, and cyclic ADP-ribose synthesis. Here, we reported that CD38 promoted cell proliferation and inhibited cell apoptosis in cervical cancer cells by affecting the mitochondria functions. We established stable cervical cancer cell lines with CD38 over-expressed. CCK8 assay and colony formation assay indicated that CD38 promoted cervical cancer cell proliferation. Nude mouse tumorigenicity assay showed that CD38 significantly promotes tumor growth in vivo. CD38 also induced S phase accumulation in cell cycle analysis and suppressed cell apoptosis in cervical cancer cells. Meanwhile, flow cytometry analysis of mitochondria functions suggested that CD38 decreased intracellular Ca2+ levels in cervical cancer cells and CD38 was involved in down-regulation of ROS levels and prevented mitochondrial apoptosis in cervical cancer cells. The percentage of cells with loss of mitochondrial membrane potential (Δψm) in CD38-overexpressed cervical cancer cells was less than control groups. Furthermore, we found an up-regulation of MDM2, cyclinA1, CDK4, cyclinD1, NF-kB P65, c-rel, and a downregulation of P53, P21, and P38 by Western blot analysis. These results indicated that CD38 enhanced the proliferation and inhibited the apoptosis of cervical cancer cells by affecting the mitochondria functions.
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Affiliation(s)
- Shan Liao
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China.,Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Disease Genome Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Songshu Xiao
- Department of Gynecology and Obstetrics, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Hongxiang Chen
- The Gynecology Department, People's Hospital of Xinjiang, Urumchi, Xinjiang, China
| | - Manying Zhang
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Zhifang Chen
- The Gynecology Department, The First Affiliated Hospital of Xinjiang Medical University, Urumchi, Xinjiang, China
| | - Yuehua Long
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Lu Gao
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Guangchao Zhu
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Junyu He
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Shuping Peng
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Wei Xiong
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Zhaoyang Zeng
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Zheng Li
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Ming Zhou
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Xiaoling Li
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Jian Ma
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Minghua Wu
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Juanjuan Xiang
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Guiyuan Li
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Yanhong Zhou
- The Key Laboratory of Carcinogenesis of the Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, Hunan, China.,The Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China.,Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Disease Genome Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
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Neuroblastoma cells depend on HDAC11 for mitotic cell cycle progression and survival. Cell Death Dis 2017; 8:e2635. [PMID: 28252645 PMCID: PMC5386552 DOI: 10.1038/cddis.2017.49] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2016] [Revised: 12/01/2016] [Accepted: 01/25/2017] [Indexed: 12/19/2022]
Abstract
The number of long-term survivors of high-risk neuroblastoma remains discouraging, with 10-year survival as low as 20%, despite decades of considerable international efforts to improve outcome. Major obstacles remain and include managing resistance to induction therapy, which causes tumor progression and early death in high-risk patients, and managing chemotherapy-resistant relapses, which can occur years after the initial diagnosis. Identifying and validating novel therapeutic targets is essential to improve treatment. Delineating and deciphering specific functions of single histone deacetylases in neuroblastoma may support development of targeted acetylome-modifying therapeutics for patients with molecularly defined high-risk neuroblastoma profiles. We show here that HDAC11 depletion in MYCN-driven neuroblastoma cell lines strongly induces cell death, mostly mediated by apoptotic programs. Genes necessary for mitotic cell cycle progression and cell division were most prominently enriched in at least two of three time points in whole-genome expression data combined from two cell systems, and all nine genes in these functional categories were strongly repressed, including CENPA, KIF14, KIF23 and RACGAP1. Enforced expression of one selected candidate, RACGAP1, partially rescued the induction of apoptosis caused by HDAC11 depletion. High-level expression of all nine genes in primary neuroblastomas significantly correlated with unfavorable overall and event-free survival in patients, suggesting a role in mediating the more aggressive biological and clinical phenotype of these tumors. Our study identified a group of cell cycle-promoting genes regulated by HDAC11, being both predictors of unfavorable patient outcome and essential for tumor cell viability. The data indicate a significant role of HDAC11 for mitotic cell cycle progression and survival of MYCN-amplified neuroblastoma cells, and suggests that HDAC11 could be a valuable drug target.
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Transcriptomic analysis of gene expression profiles of stomach carcinoma reveal abnormal expression of mitotic components. Life Sci 2017; 170:41-49. [DOI: 10.1016/j.lfs.2016.12.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Revised: 11/24/2016] [Accepted: 12/01/2016] [Indexed: 12/16/2022]
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