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Stanojevic A, Samiotaki M, Lygirou V, Marinkovic M, Nikolic V, Stojanovic-Rundic S, Jankovic R, Vlahou A, Panayotou G, Fijneman RJA, Castellví-Bel S, Zoidakis J, Cavic M. Data-Independent Acquisition Mass Spectrometry Analysis of FFPE Rectal Cancer Samples Offers In-Depth Proteomics Characterization of the Response to Neoadjuvant Chemoradiotherapy. Int J Mol Sci 2023; 24:15412. [PMID: 37895091 PMCID: PMC10607861 DOI: 10.3390/ijms242015412] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Revised: 09/30/2023] [Accepted: 10/03/2023] [Indexed: 10/29/2023] Open
Abstract
Locally advanced rectal cancer (LARC) presents a challenge in identifying molecular markers linked to the response to neoadjuvant chemoradiotherapy (nCRT). This study aimed to utilize a sensitive proteomic method, data-independent mass spectrometry (DIA-MS), to extensively analyze the LARC proteome, seeking individuals with favorable initial responses suitable for a watch-and-wait approach. This research addresses the unmet need to understand the response to treatment, potentially guiding personalized strategies for LARC patients. Post-treatment assessment included MRI scans and proctoscopy. This research involved 97 LARC patients treated with intense chemoradiotherapy, comprising radiation and chemotherapy. Out of 97 LARC included in this study, we selected 20 samples with the most different responses to nCRT for proteome profiling (responders vs. non-responders). This proteomic approach shows extensive proteome coverage in LARC samples. The analysis identified a significant number of proteins compared to a prior study. A total of 915 proteins exhibited differential expression between the two groups, with certain signaling pathways associated with response mechanisms, while top candidates had good predictive potential. Proteins encoded by genes SMPDL3A, PCTP, LGMN, SYNJ2, NHLRC3, GLB1, and RAB43 showed high predictive potential of unfavorable treatment outcome, while RPA2, SARNP, PCBP2, SF3B2, HNRNPF, RBBP4, MAGOHB, DUT, ERG28, and BUB3 were good predictive biomarkers of favorable treatment outcome. The identified proteins and related biological processes provide promising insights that could enhance the management and care of LARC patients.
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Affiliation(s)
- Aleksandra Stanojevic
- Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11000 Belgrade, Serbia; (A.S.); (R.J.)
| | - Martina Samiotaki
- Institute for Bioinnovation, Biomedical Sciences Research Center “Alexander Fleming”, Fleming 34, 166 72 Vari, Greece; (M.S.); (G.P.)
| | - Vasiliki Lygirou
- Department of Biotechnology, Biomedical Research Foundation, Academy of Athens, 4 Soranou Ephessiou Street, 115 27 Athens, Greece; (V.L.); (A.V.); (J.Z.)
| | - Mladen Marinkovic
- Clinic for Radiation Oncology and Diagnostics, Department of Radiation Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11000 Belgrade, Serbia; (M.M.); (S.S.-R.)
- Faculty of Medicine, University of Belgrade, Dr Subotica 8, 11000 Belgrade, Serbia
| | - Vladimir Nikolic
- Clinic for Medical Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11000 Belgrade, Serbia;
| | - Suzana Stojanovic-Rundic
- Clinic for Radiation Oncology and Diagnostics, Department of Radiation Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11000 Belgrade, Serbia; (M.M.); (S.S.-R.)
- Faculty of Medicine, University of Belgrade, Dr Subotica 8, 11000 Belgrade, Serbia
| | - Radmila Jankovic
- Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11000 Belgrade, Serbia; (A.S.); (R.J.)
| | - Antonia Vlahou
- Department of Biotechnology, Biomedical Research Foundation, Academy of Athens, 4 Soranou Ephessiou Street, 115 27 Athens, Greece; (V.L.); (A.V.); (J.Z.)
| | - George Panayotou
- Institute for Bioinnovation, Biomedical Sciences Research Center “Alexander Fleming”, Fleming 34, 166 72 Vari, Greece; (M.S.); (G.P.)
| | - Remond J. A. Fijneman
- Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands;
| | - Sergi Castellví-Bel
- Gastroenterology Department, Fundació Clínic per la Recerca Biomèdica-Institut d’Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS), C/del Rosselló, 149, 08036 Barcelona, Spain;
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd) Almagro, 3, 28029 Madrid, Spain
- Hospital Clínic, University of Barcelona, C/del Villarroel, 170, 08036 Barcelona, Spain
| | - Jerome Zoidakis
- Department of Biotechnology, Biomedical Research Foundation, Academy of Athens, 4 Soranou Ephessiou Street, 115 27 Athens, Greece; (V.L.); (A.V.); (J.Z.)
- Department of Biology, National and Kapodistrian University of Athens, Panepistimíou 30, 106 79 Athens, Greece
| | - Milena Cavic
- Department of Experimental Oncology, Institute for Oncology and Radiology of Serbia, Pasterova 14, 11000 Belgrade, Serbia; (A.S.); (R.J.)
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Ni J, Tian S, Bai L, Lv Q, Liu J, Liu J, Fang Y, Zhai Y, Shen Q, Rao J, Ding C, Xu H. Comparative proteomic analysis of children FSGS FFPE tissues. BMC Pediatr 2022; 22:707. [PMID: 36503536 PMCID: PMC9743561 DOI: 10.1186/s12887-022-03764-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 11/21/2022] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND In children, focal segmental glomerulosclerosis (FSGS) is the main cause of steroid resistant nephrotic syndrome (SRNS). To identify specific candidates and the mechanism of steroid resistance, we examined the formalin-fixed paraffin embedded (FFPE) renal tissue protein profiles via liquid chromatography tandem mass spectrometry (LC-MS/MS). METHODS Renal biopsies from seven steroid-sensitive (SS) and eleven steroid-resistant (SR) children FSGS patients were obtained. We examined the formalin-fixed paraffin embedded (FFPE) renal tissue protein profiles via liquid chromatography tandem mass spectrometry (LC-MS/MS). Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment and Gene Ontology (GO) analysis, as well as the construction of protein-protein interaction (PPI) network were performed. Two proteins were further valiadated by immunohistochemistry staining in FSGS patients and mice models. RESULTS In total, we quantified more than 4000 proteins, of which 325 were found to be differentially expressed proteins (DEPs) between the SS and SR group (foldchange ≥2, P<0.05). The results of GO revealed that the most significant up-regulated proteins were primarily related to protein transportation, regulation of the complement activation process and cytolysis. Moreover, clustering analysis showed differences in the pathways (lysosome, terminal pathway of complement) between the two groups. Among these potential candidates, validation analyses for LAMP1 and ACSL4 were conducted. LAMP1 was observed to have a higher expression in glomerulus, while ACSL4 was expressed more in tubular epithelial cells. CONCLUSIONS In this study, the potential mechanism and candidates related to steroid resistance in children FSGS patients were identified. It could be helpful in identifying potential therapeutic targets and predicting outcomes with these proteomic changes for children FSGS patients.
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Affiliation(s)
- Jiajia Ni
- grid.411333.70000 0004 0407 2968Department of Nephrology, Children’s Hospital of Fudan University, National Pediatric Medical Center of China, Shanghai, China ,Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Sha Tian
- grid.413087.90000 0004 1755 3939State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433 China
| | - Lin Bai
- grid.413087.90000 0004 1755 3939State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433 China
| | - Qianying Lv
- grid.411333.70000 0004 0407 2968Department of Nephrology, Children’s Hospital of Fudan University, National Pediatric Medical Center of China, Shanghai, China ,Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Jialu Liu
- grid.411333.70000 0004 0407 2968Department of Nephrology, Children’s Hospital of Fudan University, National Pediatric Medical Center of China, Shanghai, China ,Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Jiaojiao Liu
- grid.411333.70000 0004 0407 2968Department of Nephrology, Children’s Hospital of Fudan University, National Pediatric Medical Center of China, Shanghai, China ,Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Ye Fang
- grid.411333.70000 0004 0407 2968Department of Nephrology, Children’s Hospital of Fudan University, National Pediatric Medical Center of China, Shanghai, China ,Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Yihui Zhai
- grid.411333.70000 0004 0407 2968Department of Nephrology, Children’s Hospital of Fudan University, National Pediatric Medical Center of China, Shanghai, China ,Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Qian Shen
- grid.411333.70000 0004 0407 2968Department of Nephrology, Children’s Hospital of Fudan University, National Pediatric Medical Center of China, Shanghai, China ,Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Jia Rao
- grid.411333.70000 0004 0407 2968Department of Nephrology, Children’s Hospital of Fudan University, National Pediatric Medical Center of China, Shanghai, China ,Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
| | - Chen Ding
- grid.413087.90000 0004 1755 3939State Key Laboratory of Genetic Engineering and Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Institute of Biomedical Sciences, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, 200433 China
| | - Hong Xu
- grid.411333.70000 0004 0407 2968Department of Nephrology, Children’s Hospital of Fudan University, National Pediatric Medical Center of China, Shanghai, China ,Kidney Development and Pediatric Kidney Disease Research Center, Shanghai, China
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Abnormal global alternative RNA splicing in COVID-19 patients. PLoS Genet 2022; 18:e1010137. [PMID: 35421082 PMCID: PMC9089920 DOI: 10.1371/journal.pgen.1010137] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 05/10/2022] [Accepted: 03/08/2022] [Indexed: 12/25/2022] Open
Abstract
Viral infections can alter host transcriptomes by manipulating host splicing machinery. Despite intensive transcriptomic studies on SARS-CoV-2, a systematic analysis of alternative splicing (AS) in severe COVID-19 patients remains largely elusive. Here we integrated proteomic and transcriptomic sequencing data to study AS changes in COVID-19 patients. We discovered that RNA splicing is among the major down-regulated proteomic signatures in COVID-19 patients. The transcriptome analysis showed that SARS-CoV-2 infection induces widespread dysregulation of transcript usage and expression, affecting blood coagulation, neutrophil activation, and cytokine production. Notably, CD74 and LRRFIP1 had increased skipping of an exon in COVID-19 patients that disrupts a functional domain, which correlated with reduced antiviral immunity. Furthermore, the dysregulation of transcripts was strongly correlated with clinical severity of COVID-19, and splice-variants may contribute to unexpected therapeutic activity. In summary, our data highlight that a better understanding of the AS landscape may aid in COVID-19 diagnosis and therapy. Despite intensive studies on the transcriptional signatures of COVID-19 patients, how SARS-CoV-2 affects AS landscape and the contribution of AS to the pathogenesis of COVID-19 remain largely elusive. By profiling the lung transcriptome and lung proteome of nine patients who died of COVID-19 during the first wave of the pandemic in Wuhan, China, we obtained molecular insights into the AS of cellular transcripts upon SARS-CoV-2 infection. Interestingly, SARS-CoV-2 proteins directly engage host spliceosome to dysregulate essential steps of mature mRNA production and result in widespread dysregulation of cellular function. Taken together, our findings shed light on COVID-19 molecular mechanism and offer potential therapeutic targets for severe COVID-19 disease.
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Barbarics B, Eildermann K, Kaderali L, Cyganek L, Plessmann U, Bodemeyer J, Paul T, Ströbel P, Urlaub H, Tirilomis T, Lenz C, Bohnenberger H. Proteomic mapping of atrial and ventricular heart tissue in patients with aortic valve stenosis. Sci Rep 2021; 11:24389. [PMID: 34937869 PMCID: PMC8695579 DOI: 10.1038/s41598-021-03907-3] [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: 08/18/2021] [Accepted: 12/06/2021] [Indexed: 11/20/2022] Open
Abstract
Aortic valve stenosis (AVS) is one of the most common valve diseases in the world. However, detailed biological understanding of the myocardial changes in AVS hearts on the proteome level is still lacking. Proteomic studies using high-resolution mass spectrometry of formalin-fixed and paraffin-embedded (FFPE) human myocardial tissue of AVS-patients are very rare due to methodical issues. To overcome these issues this study used high resolution mass spectrometry in combination with a stem cell-derived cardiac specific protein quantification-standard to profile the proteomes of 17 atrial and 29 left ventricular myocardial FFPE human myocardial tissue samples from AVS-patients. In our proteomic analysis we quantified a median of 1980 (range 1495–2281) proteins in every single sample and identified significant upregulation of 239 proteins in atrial and 54 proteins in ventricular myocardium. We compared the proteins with published data. Well studied proteins reflect disease-related changes in AVS, such as cardiac hypertrophy, development of fibrosis, impairment of mitochondria and downregulated blood supply. In summary, we provide both a workflow for quantitative proteomics of human FFPE heart tissue and a comprehensive proteomic resource for AVS induced changes in the human myocardium.
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Wu M, Chen Y, Xia H, Wang C, Tan CY, Cai X, Liu Y, Ji F, Xiong P, Liu R, Guan Y, Duan Y, Kuang D, Xu S, Cai H, Xia Q, Yang D, Wang MW, Chiu IM, Cheng C, Ahern PP, Liu L, Wang G, Surana NK, Xia T, Kasper DL. Transcriptional and proteomic insights into the host response in fatal COVID-19 cases. Proc Natl Acad Sci U S A 2020; 117:28336-28343. [PMID: 33082228 PMCID: PMC7668053 DOI: 10.1073/pnas.2018030117] [Citation(s) in RCA: 131] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19), the global pandemic caused by SARS-CoV-2, has resulted thus far in greater than 933,000 deaths worldwide; yet disease pathogenesis remains unclear. Clinical and immunological features of patients with COVID-19 have highlighted a potential role for changes in immune activity in regulating disease severity. However, little is known about the responses in human lung tissue, the primary site of infection. Here we show that pathways related to neutrophil activation and pulmonary fibrosis are among the major up-regulated transcriptional signatures in lung tissue obtained from patients who died of COVID-19 in Wuhan, China. Strikingly, the viral burden was low in all samples, which suggests that the patient deaths may be related to the host response rather than an active fulminant infection. Examination of the colonic transcriptome of these patients suggested that SARS-CoV-2 impacted host responses even at a site with no obvious pathogenesis. Further proteomics analysis validated our transcriptome findings and identified several key proteins, such as the SARS-CoV-2 entry-associated protease cathepsins B and L and the inflammatory response modulator S100A8/A9, that are highly expressed in fatal cases, revealing potential drug targets for COVID-19.
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Affiliation(s)
- Meng Wu
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115
| | - Yaobing Chen
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
| | - Han Xia
- Department of Research and Development, Hugobiotech Co., Ltd., 100000 Beijing, P. R. China
- School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, 710049 Xi'an, P.R. China
| | - Changli Wang
- Department of Pathology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
| | - Chin Yee Tan
- Department of Pediatrics, Duke University School of Medicine, Durham, NC 27710
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710
| | - Xunhui Cai
- Institute of Artificial Intelligence, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
| | - Yufeng Liu
- Institute of Artificial Intelligence, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
| | - Fenghu Ji
- Institute of Artificial Intelligence, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
| | - Peng Xiong
- Institute of Artificial Intelligence, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
| | - Ran Liu
- Department of Research and Development, Hugobiotech Co., Ltd., 100000 Beijing, P. R. China
| | - Yuanlin Guan
- Department of Research and Development, Hugobiotech Co., Ltd., 100000 Beijing, P. R. China
| | - Yaqi Duan
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
- Department of Pathology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
| | - Dong Kuang
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
| | - Sanpeng Xu
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
| | - Hanghang Cai
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
| | - Qin Xia
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, P. R. China
| | - Dehua Yang
- The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 201203 Shanghai, P. R. China
| | - Ming-Wei Wang
- The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, 201203 Shanghai, P. R. China
| | - Isaac M Chiu
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115
| | - Chao Cheng
- Department of Medicine, Baylor College of Medicine, Houston, TX 77030
| | - Philip P Ahern
- Department of Cardiovascular and Metabolic Sciences, Cleveland Clinic Lerner Research Institute, Cleveland, OH 44195
| | - Liang Liu
- Department of Forensic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 430030 Wuhan, P. R. China;
| | - Guoping Wang
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China;
- Department of Pathology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
| | - Neeraj K Surana
- Department of Pediatrics, Duke University School of Medicine, Durham, NC 27710;
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710
- Department of Immunology, Duke University School of Medicine, Durham, NC 27710
| | - Tian Xia
- Institute of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China;
- Institute of Artificial Intelligence, Huazhong University of Science and Technology, 430074 Wuhan, P. R. China
| | - Dennis L Kasper
- Department of Immunology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115
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