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Wang S, Qi X, Liu D, Xie D, Jiang B, Wang J, Wang X, Wu G. The implications for urological malignancies of non-coding RNAs in the the tumor microenvironment. Comput Struct Biotechnol J 2024; 23:491-505. [PMID: 38249783 PMCID: PMC10796827 DOI: 10.1016/j.csbj.2023.12.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 12/08/2023] [Accepted: 12/16/2023] [Indexed: 01/23/2024] Open
Abstract
Urological malignancies are a major global health issue because of their complexity and the wide range of ways they affect patients. There's a growing need for in-depth research into these cancers, especially at the molecular level. Recent studies have highlighted the importance of non-coding RNAs (ncRNAs) – these don't code for proteins but are crucial in controlling genes – and the tumor microenvironment (TME), which is no longer seen as just a background factor but as an active player in cancer progression. Understanding how ncRNAs and the TME interact is key for finding new ways to diagnose and predict outcomes in urological cancers, and for developing new treatments. This article reviews the basic features of ncRNAs and goes into detail about their various roles in the TME, focusing specifically on how different ncRNAs function and act in urological malignancies.
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Affiliation(s)
- Shijin Wang
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China
| | - Xiaochen Qi
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China
| | - Dequan Liu
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China
| | - Deqian Xie
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China
| | - Bowen Jiang
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China
| | - Jin Wang
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China
| | - Xiaoxi Wang
- Department of Clinical Laboratory Medicine, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China
| | - Guangzhen Wu
- Department of Urology, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, Liaoning, China
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2
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Abdelaziz EH, Ismail R, Mabrouk MS, Amin E. Multi-omics data integration and analysis pipeline for precision medicine: Systematic review. Comput Biol Chem 2024; 113:108254. [PMID: 39447405 DOI: 10.1016/j.compbiolchem.2024.108254] [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: 06/21/2024] [Revised: 09/05/2024] [Accepted: 10/14/2024] [Indexed: 10/26/2024]
Abstract
Precision medicine has gained considerable popularity since the "one-size-fits-all" approach did not seem very effective or reflective of the complexity of the human body. Subsequently, since single-omics does not reflect the complexity of the human body's inner workings, it did not result in the expected advancement in the medical field. Therefore, the multi-omics approach has emerged. The multi-omics approach involves integrating data from different omics technologies, such as DNA sequencing, RNA sequencing, mass spectrometry, and others, using computational methods and then analyzing the integrated result for different downstream analysis applications such as survival analysis, cancer classification, or biomarker identification. Most of the recent reviews were constrained to discussing one aspect of the multi-omics analysis pipeline, such as the dimensionality reduction step, the integration methods, or the interpretability aspect; however, very few provide a comprehensive review of every step of the analysis. This study aims to give an overview of the multi-omics analysis pipeline, starting with the most popular multi-omics databases used in recent literature, dimensionality reduction techniques, details the different types of data integration techniques and their downstream analysis applications, describes the most commonly used evaluation metrics, highlights the importance of model interpretability, and lastly discusses the challenges and potential future work for multi-omics data integration in precision medicine.
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Affiliation(s)
| | - Rasha Ismail
- Faculty of Computer and Information Sciences, Ainshams University, Cairo, Egypt.
| | - Mai S Mabrouk
- Information Technology and Computer Science School, Nile University, Cairo, Egypt.
| | - Eman Amin
- Faculty of Computer and Information Sciences, Ainshams University, Cairo, Egypt.
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3
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Qiu J, Fu Y, Liu T, Wang J, Liu Y, Zhang Z, Ye Z, Cao Z, Su D, Luo W, Tao J, Weng G, Ye L, Zhang F, Liang Z, Zhang T. Single-cell RNA-seq reveals heterogeneity in metastatic renal cell carcinoma and effect of anti-angiogenesis therapy in the pancreas metastatic lesion. Cancer Lett 2024; 601:217193. [PMID: 39159881 DOI: 10.1016/j.canlet.2024.217193] [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: 06/10/2024] [Revised: 08/12/2024] [Accepted: 08/13/2024] [Indexed: 08/21/2024]
Abstract
Metastatic clear cell renal cell carcinoma has heterogenous tumor microenvironment (TME). Among the metastatic lesions, pancreas metastasis is rare and controversy in treatment approaches. Here, extensive primary and metastatic lesion samples were included by single-cell RNA-seq to decipher the distinct metastasis TME. The hypoxic and inflammatory TME of pancreas metastasis was decoded in this study, and the activation of PAX8-myc signaling, and metabolic reprogramming were observed. The active components including endothelial cells, fibroblasts and T cells were profiled. Meanwhile, we also evaluated the effect of anti-angiogenesis treatment in the pancreas metastasis patient. The potential mechanisms of pancreatic tropism, instability of genome, and the response of immunotherapy were also discussed in this work. Taken together, our findings suggest a clue to the heterogeneity in metastasis TME and provide evidence for the treatment of pancreas metastasis in renal cell carcinoma patients.
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Affiliation(s)
- Jiangdong Qiu
- General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Yifan Fu
- General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China; 4+4 Medical Doctor Program, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Tao Liu
- General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Jun Wang
- Department of Pathology, State Key Laboratory of Complex Severe and Rare Disease, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Yueze Liu
- General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Zeyu Zhang
- General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Ziwen Ye
- Department of Urology, The Fist Affiliated Hospital of Harbin Medical University, Harbin, China.
| | - Zhe Cao
- General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Dan Su
- General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Wenhao Luo
- General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Jinxin Tao
- General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Guihu Weng
- General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Liyuan Ye
- General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
| | - Feifan Zhang
- Department of Computer Science, University College London, UK.
| | - Zhiyong Liang
- Department of Pathology, State Key Laboratory of Complex Severe and Rare Disease, Molecular Pathology Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
| | - Taiping Zhang
- General Surgery Department, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
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4
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Chen H, Wang W, Chang S, Huang X, Wang N. A useful mTORC1 signaling-related RiskScore model for the personalized treatment of osteosarcoma patients by using the bulk RNA-seq analysis. Discov Oncol 2024; 15:418. [PMID: 39251459 PMCID: PMC11383908 DOI: 10.1007/s12672-024-01301-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 09/02/2024] [Indexed: 09/11/2024] Open
Abstract
AIMS This research developed a prognostic model for OS patients based on the Mechanistic Target of Rapamycin Complex 1 (mTORC1) signature. BACKGROUND The mTORC1 signaling pathway has a critical role in the maintenance of cellular homeostasis and tumorigenesis and development through the regulation of cell growth, metabolism and autophagy. However, the mechanism of action of this signaling pathway in Osteosarcoma (OS) remains unclear. OBJECTIVE The datasets including the TARGET-OS and GSE39058, and 200 mTORC1 genes were collected. METHODS The mTORC1 signaling-related genes were obtained based on the Molecular Signatures Database (MSigDB) database, and the single sample gene set enrichment analysis (ssGSEA) algorithm was utilized in order to calculate the mTORC1 score. Then, the WGCNA were performed for the mTORC1-correlated gene module, the un/multivariate and lasso Cox regression analysis were conducted for the RiskScore model. The immune infiltration analysis was performed by using the ssGSEA method, ESTIMATE tool and MCP-Count algorithm. KM survival and Receiver Operating Characteristic (ROC) Curve analysis were performed by using the survival and timeROC package. RESULTS The mTORC1 score and WGCNA with β = 5 screened the mTORC1 positively correlated skyblue2 module that included 67 genes, which are also associated with the metabolism and hypoxia pathways. Further narrowing of candidate genes and calculating the regression coefficient, we developed a useful and reliable RiskScore model, which can classify the patients in the training and validation set into high and low-risk groups based on the median value of RiskScore as an independent and robust prognostic factor. High-risk patients had a significantly poor prognosis, lower immune infiltration level of multiple immune cells and prone to cancer metastasis. Finally, we a nomogram model incorporating the metastasis features and RiskScore showed excellent prediction accuracy and clinical practicability. CONCLUSION We developed a useful and reliable risk prognosis model based on the mTORC1 signaling signature.
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Affiliation(s)
- Hongxia Chen
- Department of Hematology, Chongqing University Three Gorges Hospital, Chongqing, 404000, China
| | - Wei Wang
- Department of Oncology, Chongqing University Three Gorges Hospital, Chongqing, 404000, China
| | - Shichuan Chang
- Department of Oncology, Chongqing University Three Gorges Hospital, Chongqing, 404000, China
| | - Xiaoping Huang
- Department of Oncology, Chongqing University Three Gorges Hospital, Chongqing, 404000, China.
| | - Ning Wang
- Department of Oncology, Chongqing University Three Gorges Hospital, Chongqing, 404000, China.
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Di SC, Chen WJ, Yang W, Zhang XM, Dong KQ, Tian YJ, Sun Y, Qian C, Chen JX, Liu ZC, Gong ZX, Chu J, Zhou W, Pan XW, Cui XG. DEPDC1 as a metabolic target regulates glycolysis in renal cell carcinoma through AKT/mTOR/HIF1α pathway. Cell Death Dis 2024; 15:533. [PMID: 39068164 PMCID: PMC11283501 DOI: 10.1038/s41419-024-06913-1] [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: 04/27/2024] [Revised: 07/14/2024] [Accepted: 07/15/2024] [Indexed: 07/30/2024]
Abstract
Renal cell carcinoma (RCC) is considered a "metabolic disease" characterized by elevated glycolysis in patients with advanced RCC. Tyrosine kinase inhibitor (TKI) therapy is currently an important treatment option for advanced RCC, but drug resistance may develop in some patients. Combining TKI with targeted metabolic therapy may provide a more effective approach for patients with advanced RCC. An analysis of 14 RCC patients (including three needle biopsy samples with TKI resistance) revealed by sing-cell RNA sequencing (scRNA-seq) that glycolysis played a crucial role in poor prognosis and drug resistance in RCC. TCGA-KIRC and glycolysis gene set analysis identified DEPDC1 as a target associated with malignant progression and drug resistance in KIRC. Subsequent experiments demonstrated that DEPDC1 promoted malignant progression and glycolysis of RCC, and knockdown DEPDC1 could reverse TKI resistance in RCC cell lines. Bulk RNA sequencing (RNA-seq) and non-targeted metabolomics sequencing suggested that DEPDC1 may regulate RCC glycolysis via AKT/mTOR/HIF1α pathway, a finding supported by protein-level analysis. Clinical tissue samples from 98 RCC patients demonstrated that DEPDC1 was associated with poor prognosis and predicted RCC metastasis. In conclusion, this multi-omics analysis suggests that DEPDC1 could serve as a novel target for TKI combined with targeted metabolic therapy in advanced RCC patients with TKI resistance.
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MESH Headings
- Animals
- Female
- Humans
- Male
- Mice
- Carcinoma, Renal Cell/metabolism
- Carcinoma, Renal Cell/pathology
- Carcinoma, Renal Cell/genetics
- Carcinoma, Renal Cell/drug therapy
- Cell Line, Tumor
- Drug Resistance, Neoplasm/drug effects
- Gene Expression Regulation, Neoplastic
- Glycolysis/drug effects
- GTPase-Activating Proteins/metabolism
- GTPase-Activating Proteins/genetics
- Hypoxia-Inducible Factor 1, alpha Subunit/metabolism
- Hypoxia-Inducible Factor 1, alpha Subunit/genetics
- Kidney Neoplasms/metabolism
- Kidney Neoplasms/pathology
- Kidney Neoplasms/drug therapy
- Kidney Neoplasms/genetics
- Mice, Nude
- Proto-Oncogene Proteins c-akt/metabolism
- Signal Transduction
- TOR Serine-Threonine Kinases/metabolism
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Affiliation(s)
- Si-Chen Di
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Wen-Jin Chen
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
- Department of Urology, Third Affiliated Hospital of the Second Military Medical University, Shanghai, China
| | - Wei Yang
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Xiang-Min Zhang
- Department of Urology, Shanghai Baoshan Luodian Hospital, Shanghai, China
| | - Ke-Qin Dong
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
- Department of Urology, Chinese PLA General Hospital of Central Theater Command, Wuhan, China
| | - Yi-Jun Tian
- Department of Urology, Tongji Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ye Sun
- Department of Urology, Taian 88 Hospital, Taian, Shandong, China
| | - Cheng Qian
- Department of Urology, Shanghai Pudong New Area Gongli Hospital, Shanghai, China
| | - Jia-Xin Chen
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Zi-Chang Liu
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Zi-Xuan Gong
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China
| | - Jian Chu
- Department of Urology, Shanghai Baoshan Luodian Hospital, Shanghai, China.
| | - Wang Zhou
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
| | - Xiu-Wu Pan
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
| | - Xin-Gang Cui
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, China.
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6
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Chen WJ, Pan XW, Song X, Liu ZC, Xu D, Chen JX, Dong KQ, Di SC, Ye JQ, Gan SS, Wang LH, Zhou W, Cui XG. Preoperative neoadjuvant targeted therapy remodels intra-tumoral heterogeneity of clear-cell renal cell carcinoma and ferroptosis inhibition induces resistance progression. Cancer Lett 2024; 593:216963. [PMID: 38768682 DOI: 10.1016/j.canlet.2024.216963] [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: 01/06/2024] [Revised: 04/15/2024] [Accepted: 05/14/2024] [Indexed: 05/22/2024]
Abstract
Neoadjuvant tyrosine kinase inhibitor (TKI) therapy is an important treatment option for advanced renal cell carcinoma (RCC). Many RCC patients may fail to respond or be resistant to TKI therapy. We aimed to explore the key mechanisms of neoadjuvant therapy résistance. We obtained tumor samples from matched pre-treatment biopsy and post-treatment surgical samples and performed single-cell RNA sequencing. Sunitinib-resistant ccRCC cell lines were established. Ferroptosis was detected by ferrous ion and lipid peroxidation levels. Tumor growth and resistance to Sunitinib was validated in vitro and vivo. Immunohistochemistry was used to validate the levels key genes and lipid peroxidation. Multi-center cohorts were included, including TCGA, ICGC, Checkmate-025 and IMmotion151 clinical trial. Survival analysis was performed to identify the associated clinical and genomic variables. Intratumoral heterogeneity was first described in the whole neoadjuvant management. The signature of endothelial cells was correlated with drug sensitivity and progression-free survival. Ferroptosis was shown to be the key biological program in malignant cell resistance. We observed tissue lipid peroxidation was negatively correlated with IL6 and tumor response. TKI-resistant cell line was established. SLC7A11 knockdown promoted cell growth and lipid peroxidation, increased the ferroptosis level, and suppressed the growth of tumor xenografts significantly (P < 0.01). IL6 could reverse the ferroptosis and malignant behavior caused by SLC7A11 (-) via JAK2/STAT3 pathway, which was rescued by the ferroptosis inducer Erastin. Our data indicate that ferroptosis is a novel strategy for advanced RCC treatment, which activated by IL6, providing a new idea for resistance to TKIs.
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Affiliation(s)
- Wen-Jin Chen
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China; Depanrtment of Urology, Third Affiliated Hospital of the Naval Medical University, Shanghai, 201805, China.
| | - Xiu-Wu Pan
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
| | - Xu Song
- Department of Urology, Shanghai Seventh People's Hospital, Shanghai, 200137, China.
| | - Zi-Chang Liu
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
| | - Da Xu
- Depanrtment of Urology, Third Affiliated Hospital of the Naval Medical University, Shanghai, 201805, China.
| | - Jia-Xin Chen
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
| | - Ke-Qin Dong
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
| | - Si-Chen Di
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
| | - Jian-Qing Ye
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
| | - Si-Shun Gan
- Depanrtment of Urology, Third Affiliated Hospital of the Naval Medical University, Shanghai, 201805, China.
| | - Lin-Hui Wang
- Department of Urology, Changhai Hospital of Naval Medical University, 168 Changhai Road, Shanghai, 200433, China.
| | - Wang Zhou
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China.
| | - Xin-Gang Cui
- Department of Urology, Xinhua Hospital, School of Medicine, Shanghai Jiaotong University, 1665 Kongjiang Road, Shanghai, 200092, China; Depanrtment of Urology, Third Affiliated Hospital of the Naval Medical University, Shanghai, 201805, China.
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7
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Sun Y, Pan J, Li Y, Hu Y, Ma J, Chen F, Zhang Y, Jiang Z, Zhang J. Restoring BARX2 in OSCC reverses partial EMT and suppresses metastasis through miR-186-5p/miR-378a-3p-dependent SERPINE2 inhibition. Oncogene 2024; 43:1941-1954. [PMID: 38719950 DOI: 10.1038/s41388-024-03053-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2023] [Revised: 04/23/2024] [Accepted: 04/24/2024] [Indexed: 06/16/2024]
Abstract
Tumor cells undergoing partial epithelial-mesenchymal transition (pEMT) are pivotal in local invasion and lymphatic metastasis of oral squamous cell carcinoma (OSCC), yet the mechanisms behind pEMT reversal remain poorly understood. In this study, the loss of BARX2 expression was revealed during the process of oral epithelial carcinogenesis and identified to activate the pEMT program, facilitate metastasis, and be associated with poor prognosis. Restoring BARX2 expression in OSCC cell lines effectively reversed tumor pEMT, evident in E/N-Cadherin switching, reduced cell invasion, proliferation, and stemness, and inhibited murine lung metastasis. BARX2 re-expression negatively correlated with several pEMT markers, notably SERPINE2, which was enriched in the invasive OSCC front, enhancing stemness and promoting metastasis, particularly in cervical lymph nodes. Furthermore, rescuing SERPINE2 impaired the inhibitory effect of BARX2 on the pEMT programs and reconstructed ECM through re-expression of MMP1. Mechanistically, we identified that BARX2 inhibited SERPINE2 through activating miR-186-5p and miR-378a-3p. These miRNAs, upregulated by BARX2, post-transcriptionally degraded SERPINE2 mRNA via targeting specific sequences. Blocking miR-186-5p and miR-378a-3p effectively abolished the negative regulatory effect of BARX2 on SERPINE2. Overall, our findings highlight BARX2 as a partial EMT-reverser in OSCC, providing fresh therapeutic prospects for restoring BARX2 signaling to inhibit invasion and metastasis.
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Affiliation(s)
- Yanan Sun
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- School of Stomatology, Wuhan University, Wuhan, China
| | - Junchen Pan
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- School of Stomatology, Wuhan University, Wuhan, China
| | - Yiwei Li
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- School of Stomatology, Wuhan University, Wuhan, China
| | - Yaying Hu
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- School of Stomatology, Wuhan University, Wuhan, China
| | - Jiyuan Ma
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- School of Stomatology, Wuhan University, Wuhan, China
| | - Fu Chen
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- School of Stomatology, Wuhan University, Wuhan, China
| | - Yuying Zhang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- School of Stomatology, Wuhan University, Wuhan, China
| | - Ziyan Jiang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- School of Stomatology, Wuhan University, Wuhan, China
| | - Jiali Zhang
- State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan, China.
- School of Stomatology, Wuhan University, Wuhan, China.
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8
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Qiu D, Zhao B, Wang W, Zheng G, Wang Z, Wang X, Li Y, Liao Z, Zhao Y, Zhang Y. The predictive value of PFKFB3 in bladder cancer prognosis. Heliyon 2024; 10:e31347. [PMID: 38803949 PMCID: PMC11128530 DOI: 10.1016/j.heliyon.2024.e31347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 05/14/2024] [Accepted: 05/15/2024] [Indexed: 05/29/2024] Open
Abstract
6-phosphofructo-2-kinase/fructose-2,6-biphosphatase-3 (PFKFB3) influences cancer progression via participating in tumor aerobic glycolysis. In this study, we aimed to evaluate the prognostic significance of PFKFB3 in bladder cancer (BLCA) patients by analyzing a combination of publicly available databases, clinical patient data, and bladder tumor samples from our hospital. Single-cell and bulk RNA-seq data of bladder cancer, obtained from ENA, GEO, and TCGA databases, were utilized for our analysis. The results indicated that PFKFB3 mRNA expression was markedly elevated in bladder cancer compared to paired normal tissue. Furthermore, BLCA patients with high PFKFB3 expression exhibited a significantly worse prognosis (P < 0.05). To validate these findings, clinical data and immunohistochemistry staining were performed on specimens obtained from 89 BLCA patients who underwent radical cystectomy at either Qingdao University Affiliated Hospital or Peking Union Medical College Hospital. The findings from this verification process confirmed that high expression of PFKFB3 serves as a biomarker for predicting worse prognosis in BLCA patients (OR: 2.462, 95 % CI: 1.202-5.042, P = 0.012). To facilitate clinical application, we developed a nomogram based on four variables, including PFKFB3 expression, to predict the survival of BLCA patients. Importantly, this nomogram demonstrated a low mean prediction error of 0.03. Taken together, our findings suggest that PFKFB3 has the potential to serve as both a prognostic biomarker and a therapeutic target for BLCA patients.
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Affiliation(s)
- Dongxu Qiu
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, PR China
- Vancouver Prostate Centre, Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, V6H 3Z6, Canada
| | - Bin Zhao
- Department of Breast Surgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310058, PR China
| | - Wenda Wang
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, PR China
| | - Guoyang Zheng
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, PR China
| | - Zhan Wang
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, PR China
| | - Xu Wang
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, PR China
| | - Yanan Li
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, PR China
| | - Zhangcheng Liao
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, PR China
| | - Yang Zhao
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, PR China
- Clinical College, Qingdao University, Qingdao, Shandong, 266003, PR China
| | - Yushi Zhang
- Department of Urology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, PR China
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9
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Huang X, Liu R, Yang S, Chen X, Li H. scAnnoX: an R package integrating multiple public tools for single-cell annotation. PeerJ 2024; 12:e17184. [PMID: 38560451 PMCID: PMC10981883 DOI: 10.7717/peerj.17184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 03/11/2024] [Indexed: 04/04/2024] Open
Abstract
Background Single-cell annotation plays a crucial role in the analysis of single-cell genomics data. Despite the existence of numerous single-cell annotation algorithms, a comprehensive tool for integrating and comparing these algorithms is also lacking. Methods This study meticulously investigated a plethora of widely adopted single-cell annotation algorithms. Ten single-cell annotation algorithms were selected based on the classification of either reference dataset-dependent or marker gene-dependent approaches. These algorithms included SingleR, Seurat, sciBet, scmap, CHETAH, scSorter, sc.type, cellID, scCATCH, and SCINA. Building upon these algorithms, we developed an R package named scAnnoX for the integration and comparative analysis of single-cell annotation algorithms. Results The development of the scAnnoX software package provides a cohesive framework for annotating cells in scRNA-seq data, enabling researchers to more efficiently perform comparative analyses among the cell type annotations contained in scRNA-seq datasets. The integrated environment of scAnnoX streamlines the testing, evaluation, and comparison processes among various algorithms. Among the ten annotation tools evaluated, SingleR, Seurat, sciBet, and scSorter emerged as top-performing algorithms in terms of prediction accuracy, with SingleR and sciBet demonstrating particularly superior performance, offering guidance for users. Interested parties can access the scAnnoX package at https://github.com/XQ-hub/scAnnoX.
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Affiliation(s)
- Xiaoqian Huang
- School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, Yunnan Province, China
| | - Ruiqi Liu
- School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, Yunnan Province, China
| | - Shiwei Yang
- School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, Yunnan Province, China
| | - Xiaozhou Chen
- School of Mathematics and Computer Science, Yunnan Minzu University, Kunming, Yunnan Province, China
| | - Huamei Li
- Department of Hepatobiliary Surgery, the Affiliated Drum Tower Hospital, Medical School, Nanjing University, Nanjing, Jiangsu Province, China
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10
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Zhang S, Jia X, Dai H, Zhu X, Song W, Bian S, Wu H, Chen S, Tang Y, Chen J, Jin C, Zhou M, Xie H, Zheng S, Song P. SERPINE2 promotes liver cancer metastasis by inhibiting c-Cbl-mediated EGFR ubiquitination and degradation. Cancer Commun (Lond) 2024; 44:384-407. [PMID: 38407942 PMCID: PMC10958675 DOI: 10.1002/cac2.12527] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 02/03/2024] [Accepted: 02/08/2024] [Indexed: 02/27/2024] Open
Abstract
BACKGROUND Liver cancer is a malignancy with high morbidity and mortality rates. Serpin family E member 2 (SERPINE2) has been reported to play a key role in the metastasis of many tumors. In this study, we aimed to investigate the potential mechanism of SERPINE2 in liver cancer metastasis. METHODS The Cancer Genome Atlas database (TCGA), including DNA methylation and transcriptome sequencing data, was utilized to identify the crucial oncogene associated with DNA methylation and cancer progression in liver cancer. Data from the TCGA and RNA sequencing for 94 pairs of liver cancer tissues were used to explore the correlation between SERPINE2 expression and clinical parameters of patients. DNA methylation sequencing was used to detect the DNA methylation levels in liver cancer tissues and cells. RNA sequencing, cytokine assays, immunoprecipitation (IP) and mass spectrometry (MS) assays, protein stability assays, and ubiquitination assays were performed to explore the regulatory mechanism of SERPINE2 in liver cancer metastasis. Patient-derived xenografts and tumor organoid models were established to determine the role of SERPINE2 in the treatment of liver cancer using sorafenib. RESULTS Based on the public database screening, SERPINE2 was identified as a tumor promoter regulated by DNA methylation. SERPINE2 expression was significantly higher in liver cancer tissues and was associated with the dismal prognosis in patients with liver cancer. SERPINE2 promoted liver cancer metastasis by enhancing cell pseudopodia formation, cell adhesion, cancer-associated fibroblast activation, extracellular matrix remodeling, and angiogenesis. IP/MS assays confirmed that SERPINE2 activated epidermal growth factor receptor (EGFR) and its downstream signaling pathways by interacting with EGFR. Mechanistically, SERPINE2 inhibited EGFR ubiquitination and maintained its protein stability by competing with the E3 ubiquitin ligase, c-Cbl. Additionally, EGFR was activated in liver cancer cells after sorafenib treatment, and SERPINE2 knockdown-induced EGFR downregulation significantly enhanced the therapeutic efficacy of sorafenib against liver cancer. Furthermore, we found that SERPINE2 knockdown also had a sensitizing effect on lenvatinib treatment. CONCLUSIONS SERPINE2 promoted liver cancer metastasis by preventing EGFR degradation via c-Cbl-mediated ubiquitination, suggesting that inhibition of the SERPINE2-EGFR axis may be a potential target for liver cancer treatment.
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11
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Yang G, Cheng J, Xu J, Shen C, Lu X, He C, Huang J, He M, Cheng J, Wang H. Metabolic heterogeneity in clear cell renal cell carcinoma revealed by single-cell RNA sequencing and spatial transcriptomics. J Transl Med 2024; 22:210. [PMID: 38414015 PMCID: PMC10900752 DOI: 10.1186/s12967-024-04848-x] [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: 09/06/2023] [Accepted: 12/31/2023] [Indexed: 02/29/2024] Open
Abstract
BACKGROUND Clear cell renal cell carcinoma is a prototypical tumor characterized by metabolic reprogramming, which extends beyond tumor cells to encompass diverse cell types within the tumor microenvironment. Nonetheless, current research on metabolic reprogramming in renal cell carcinoma mostly focuses on either tumor cells alone or conducts analyses of all cells within the tumor microenvironment as a mixture, thereby failing to precisely identify metabolic changes in different cell types within the tumor microenvironment. METHODS Gathering 9 major single-cell RNA sequencing databases of clear cell renal cell carcinoma, encompassing 195 samples. Spatial transcriptomics data were selected to conduct metabolic activity analysis with spatial localization. Developing scMet program to convert RNA-seq data into scRNA-seq data for downstream analysis. RESULTS Diverse cellular entities within the tumor microenvironment exhibit distinct infiltration preferences across varying histological grades and tissue origins. Higher-grade tumors manifest pronounced immunosuppressive traits. The identification of tumor cells in the RNA splicing state reveals an association between the enrichment of this particular cellular population and an unfavorable prognostic outcome. The energy metabolism of CD8+ T cells is pivotal not only for their cytotoxic effector functions but also as a marker of impending cellular exhaustion. Sphingolipid metabolism evinces a correlation with diverse macrophage-specific traits, particularly M2 polarization. The tumor epicenter is characterized by heightened metabolic activity, prominently marked by elevated tricarboxylic acid cycle and glycolysis while the pericapsular milieu showcases a conspicuous enrichment of attributes associated with vasculogenesis, inflammatory responses, and epithelial-mesenchymal transition. The scMet facilitates the transformation of RNA sequencing datasets sourced from TCGA into scRNA sequencing data, maintaining a substantial degree of correlation. CONCLUSIONS The tumor microenvironment of clear cell renal cell carcinoma demonstrates significant metabolic heterogeneity across various cell types and spatial dimensions. scMet exhibits a notable capability to transform RNA sequencing data into scRNA sequencing data with a high degree of correlation.
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Affiliation(s)
- Guanwen Yang
- Department of Urology, Zhongshan Hospital, Fudan University, 180Th Fengling Rd, Xuhui District, Shanghai, 200032, China
| | - Jiangting Cheng
- Department of Urology, Zhongshan Hospital, Fudan University, 180Th Fengling Rd, Xuhui District, Shanghai, 200032, China
| | - Jiayi Xu
- Department of Urology, Zhongshan Hospital, Fudan University, 180Th Fengling Rd, Xuhui District, Shanghai, 200032, China
| | - Chenyang Shen
- Department of Urology, Zhongshan Hospital, Fudan University, 180Th Fengling Rd, Xuhui District, Shanghai, 200032, China
| | - Xuwei Lu
- Department of Urology, Minhang Hospital, Fudan University, Shanghai, 201199, China
| | - Chang He
- Department of Urology, Minhang Hospital, Fudan University, Shanghai, 201199, China
| | - Jiaqi Huang
- Department of Urology, Minhang Hospital, Fudan University, Shanghai, 201199, China
| | - Minke He
- Department of Urology, Minhang Hospital, Fudan University, Shanghai, 201199, China
| | - Jie Cheng
- Department of Urology, Xuhui Hospital, Fudan University, 966Th Huaihai Middle Rd, Xuhui District, Shanghai, 200031, China.
| | - Hang Wang
- Department of Urology, Zhongshan Hospital, Fudan University, 180Th Fengling Rd, Xuhui District, Shanghai, 200032, China.
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12
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Liu Y, Li X, Chen S, Zhu C, Shi Y, Dang S, Zhang W, Li W. Pan-cancer analysis of SERPINE family genes as biomarkers of cancer prognosis and response to therapy. Front Mol Biosci 2024; 10:1277508. [PMID: 38274096 PMCID: PMC10808646 DOI: 10.3389/fmolb.2023.1277508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 12/29/2023] [Indexed: 01/27/2024] Open
Abstract
Background: Serine protease inhibitor E (SERPINE) family genes participate in the tumor growth, cancer cell survival and metastasis. However, the SERPINE family members role in the prognosis and their clinical therapeutic potentials in various human cancer types have not been elaborately explored. Methods: We preliminarily analyzed expression levels and prognostic values of SERPINE family genes, and investigated the correlation between SERPINEs expression and tumor microenvironment (TME), Stemness score, clinical characteristic, immune infiltration, tumor mutational burden (TMB), immune subtype, and drug sensitivity in pan-cancer, which based on updated public databases and integrated some bioinformatics analysis methods. In addition, we conducted the enrichment analysis of SERPINEs from DAVID and KOBAS databases. Results: SERPINE1, SERPINE2, and SERPINE3 expression were upregulated in nine cancers, twelve cancers, and six cancers, respectively. The expression of SERPINE family genes was associated with the prognosis in several cancers from The Cancer Genome Atlas (TCGA). Furthermore, SERPINE family genes expression also had a significant relation to stromal and immune scores, and RNA stemness score and DNA stemness score in pan-cancer. SERPINE1 and SERPINE2 expression significantly increased in tumor advanced stage in colon adenocarcinoma (COAD). Results showed that SERPINE1 and SERPINE2 expression were negatively related with B cells and Monocytes, respectively. SERPINE2 expression had a significantly positive relation with B cells and Macrophages. In terms of TMB, SERPINE1, SERPINE2, and SERPINE3 were found to associated with TMB in seven cancers, fourteen cancers, and four cancers, respectively. Moreover, all SERPINE gene family members were significantly correlated with immune subtypes. SERPINE1 expression had a significantly positive or negative correlation with drug sensitivity. Conclusion: The study indicated the great potential of SERPINE family genes as biomarkers for prognosis and provided valuable strategies for further investigation of SERPINE family genes as potential targets in cancer.
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Affiliation(s)
| | | | | | | | | | | | | | - Wei Li
- Department of Cancer Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China
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13
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Peng K, Wang N, Liu Q, Wang L, Duan X, Xie G, Li J, Ding D. Identification of disulfidptosis-related subtypes and development of a prognosis model based on stacking framework in renal clear cell carcinoma. J Cancer Res Clin Oncol 2023; 149:13793-13810. [PMID: 37530800 DOI: 10.1007/s00432-023-05201-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 07/22/2023] [Indexed: 08/03/2023]
Abstract
BACKGROUND Clear cell renal cell carcinoma (ccRCC) is a common malignant tumor with an unsatisfactory prognosis. This study aims to identify the expression patterns of disulfidptosis-related genes (DRGs), develop a prognostic model, and predict immunological profiles. METHODS First, we identified differentially expressed DRGs in TCGA-KIRC cohort and analyzed their mutational profiles, methylation levels, and interaction networks. Subsequently, we identified disulfidptosis-associated molecular subtypes and investigated their prognostic and immunological characteristics. Simultaneously, a disulfidptosis-related prognostic signature (DRPS) was developed using a two-stage stacking framework consisting of 5 machine learning models. The effect of DRPS on immune cell infiltration levels was explored using seven different algorithms, and the status and function of T cells for distinct risk-score groups were evaluated based on T cell exhaustion and dysfunction scores. Additionally, the study also examined differences in clinical characteristics and therapy efficacy between high- and low-risk groups. RESULTS We found two disulfidptosis-associated clusters, one of which had a poor prognosis and was linked to high immune cell infiltration but impaired T cell function. DRPS showed excellent predictive performance in all four cohorts and could accurately identified disulfidptosis-related molecular subtypes. The DRPS-based risk score was positively associated with poor prognosis, malignant pathological features, high immune cell infiltration levels, and T cell exhaustion or dysfunction, and better respond to immunotherapy and targeted therapy. Additionally, we have identified a close association between ISG20 and disulfidptosis as well as tumor immunity. CONCLUSION Our study identified distinct disulfidptosis-related subtypes in ccRCC patients, and constructed the highly accurate and robust DRPS based on an ensemble learning framework, which has critical reference value in clinical decision-making and individualized treatment. And this work also revealed ISG20 exhibits promising potential as a therapeutic target for ccRCC.
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Affiliation(s)
- Kun Peng
- Department of Urology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Ning Wang
- Department of Urology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Qingyuan Liu
- Department of Urology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Lingdian Wang
- Department of Urology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Xiaoyu Duan
- Department of Urology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Guochong Xie
- Department of Urology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Jixi Li
- Department of Urology, People's Hospital of Henan University, Henan Provincial People's Hospital, Zhengzhou, 450003, China
| | - Degang Ding
- Department of Urology, Zhengzhou University People's Hospital, Henan Provincial People's Hospital, Zhengzhou, 450003, China.
- Department of Urology, People's Hospital of Henan University, Henan Provincial People's Hospital, Zhengzhou, 450003, China.
- Institute of Urology, Henan Provincial People's Hospital, Zhengzhou, China.
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Lê H, Deforges J, Hua G, Idoux-Gillet Y, Ponté C, Lindner V, Olland A, Falcoz PE, Zaupa C, Jain S, Quéméneur E, Benkirane-Jessel N, Balloul JM. In vitro vascularized immunocompetent patient-derived model to test cancer therapies. iScience 2023; 26:108094. [PMID: 37860774 PMCID: PMC10582498 DOI: 10.1016/j.isci.2023.108094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Revised: 08/21/2023] [Accepted: 09/26/2023] [Indexed: 10/21/2023] Open
Abstract
This work describes a patient-derived tumoroid model (PDTs) to support precision medicine in lung oncology. The use of human adipose tissue-derived microvasculature and patient-derived peripheral blood mononuclear cells (PBMCs) permits to achieve a physiologically relevant tumor microenvironment. This study involved ten patients at various stages of tumor progression. The vascularized, immune-infiltrated PDT model could be obtained within two weeks, matching the requirements of the therapeutic decision. Histological and transcriptomic analyses confirmed that the main features from the original tumor were reproduced. The 3D tumor model could be used to determine the dynamics of response to antiangiogenic therapy and platinum-based chemotherapy. Antiangiogenic therapy showed a significant decrease in vascular endothelial growth factor (VEGF)-A expression, reflecting its therapeutic effect in the model. In an immune-infiltrated PDT model, chemotherapy showed the ability to decrease the levels of lymphocyte activation gene-3 protein (LAG-3), B and T lymphocyte attenuator (BTLA), and inhibitory receptors of T cells functions.
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Affiliation(s)
- Hélène Lê
- Transgene S.A, 400 Boulevard Gonthier d’Andernach, 67400 Illkirch-Graffenstaden, France
- INSERM UMR 1260, Regenerative Nanomedicine, 1 rue Eugène Boeckel, 67000 Strasbourg, France
| | - Jules Deforges
- Transgene S.A, 400 Boulevard Gonthier d’Andernach, 67400 Illkirch-Graffenstaden, France
| | - Guoqiang Hua
- INSERM UMR 1260, Regenerative Nanomedicine, 1 rue Eugène Boeckel, 67000 Strasbourg, France
| | - Ysia Idoux-Gillet
- INSERM UMR 1260, Regenerative Nanomedicine, 1 rue Eugène Boeckel, 67000 Strasbourg, France
| | - Charlotte Ponté
- INSERM UMR 1260, Regenerative Nanomedicine, 1 rue Eugène Boeckel, 67000 Strasbourg, France
- Hopitaux Universitaires de Strasbourg, 1 Place de l’Hôpital, 67000 Strasbourg, France
| | - Véronique Lindner
- INSERM UMR 1260, Regenerative Nanomedicine, 1 rue Eugène Boeckel, 67000 Strasbourg, France
| | - Anne Olland
- INSERM UMR 1260, Regenerative Nanomedicine, 1 rue Eugène Boeckel, 67000 Strasbourg, France
- Hopitaux Universitaires de Strasbourg, 1 Place de l’Hôpital, 67000 Strasbourg, France
| | - Pierre-Emanuel Falcoz
- INSERM UMR 1260, Regenerative Nanomedicine, 1 rue Eugène Boeckel, 67000 Strasbourg, France
- Hopitaux Universitaires de Strasbourg, 1 Place de l’Hôpital, 67000 Strasbourg, France
| | - Cécile Zaupa
- Boehringer Ingelheim, 29 avenue Tony Garnier, 69007 Lyon, France
| | - Shreyansh Jain
- Transgene S.A, 400 Boulevard Gonthier d’Andernach, 67400 Illkirch-Graffenstaden, France
| | - Eric Quéméneur
- Transgene S.A, 400 Boulevard Gonthier d’Andernach, 67400 Illkirch-Graffenstaden, France
| | - Nadia Benkirane-Jessel
- INSERM UMR 1260, Regenerative Nanomedicine, 1 rue Eugène Boeckel, 67000 Strasbourg, France
| | - Jean-Marc Balloul
- Transgene S.A, 400 Boulevard Gonthier d’Andernach, 67400 Illkirch-Graffenstaden, France
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Alchahin AM, Tsea I, Baryawno N. Recent Advances in Single-Cell RNA-Sequencing of Primary and Metastatic Clear Cell Renal Cell Carcinoma. Cancers (Basel) 2023; 15:4734. [PMID: 37835428 PMCID: PMC10571653 DOI: 10.3390/cancers15194734] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/22/2023] [Accepted: 09/22/2023] [Indexed: 10/15/2023] Open
Abstract
Over the past two decades, significant progress has been made in the treatment of clear cell renal cell carcinoma (ccRCC), with a shift towards adopting new treatment approaches ranging from monotherapy to triple-combination therapy. This progress has been spearheaded by fundamental technological advancements that have allowed a deeper understanding of the various biological components of this cancer. In particular, the rapid commercialization of transcriptomics technologies, such as single-cell RNA-sequencing (scRNA-seq) methodologies, has played a crucial role in accelerating this understanding. Through precise measurements facilitated by these technologies, the research community has successfully identified and characterized diverse tumor, immune, and stromal cell populations, uncovering their interactions and pathways involved in disease progression. In localized ccRCC, patients have shown impressive response rates to treatment. However, despite the emerging findings and new knowledge provided in the field, there are still patients that do not respond to treatment, especially in advanced disease stages. One of the key challenges lies in the limited study of ccRCC metastases compared to localized cases. This knowledge gap may contribute to the relatively low survival rates and response rates observed in patients with metastatic ccRCC. To bridge this gap, we here delve into recent research utilizing scRNA-seq technologies in both primary and metastatic ccRCC. The goal of this review is to shed light on the current state of knowledge in the field, present existing treatment options, and emphasize the crucial steps needed to improve survival rates, particularly in cases of metastatic ccRCC.
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Affiliation(s)
| | | | - Ninib Baryawno
- Childhood Cancer Research Unit, Department of Women’s and Children’s Health, Karolinska Institutet, 10000-19999 Stockholm, Sweden; (A.M.A.); (I.T.)
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