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Sökning: WFRF:(Zhou Qimin)

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1.
  • Zhou, Qimin, et al. (författare)
  • Quantitative proteomics identifies brain acid soluble protein 1 (BASP1) as a prognostic biomarker candidate in pancreatic cancer tissue
  • 2019
  • Ingår i: EBioMedicine. - : Elsevier BV. - 2352-3964. ; 43, s. 282-294
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Pancreatic cancer is a heterogenous disease with a poor prognosis. This study aimed to discover and validate prognostic tissue biomarkers in pancreatic cancer using a mass spectrometry (MS) based proteomics approach. Methods: Global protein sequencing of fresh frozen pancreatic cancer and healthy pancreas tissue samples was conducted by MS to discover potential protein biomarkers. Selected candidate proteins were further verified by targeted proteomics using parallel reaction monitoring (PRM). The expression of biomarker candidates was validated by immunohistochemistry in a large tissue microarray (TMA) cohort of 141 patients with resectable pancreatic cancer. Kaplan-Meier and Cox proportional hazard modelling was used to investigate the prognostic utility of candidate protein markers. Findings: In the initial MS-discovery phase, 165 proteins were identified as potential biomarkers. In the subsequent MS-verification phase, a panel of 45 candidate proteins was verified by the development of a PRM assay. Brain acid soluble protein 1 (BASP1) was identified as a new biomarker candidate for pancreatic cancer possessing largely unknown biological and clinical functions and was selected for further analysis. Importantly, bioinformatic analysis indicated that BASP1 interacts with Wilms tumour protein (WT1) in pancreatic cancer. TMA-based immunohistochemistry analysis showed that BASP1 was an independent predictor of prolonged survival (HR 0.468, 95% CI 0.257–0.852, p =.013) and predicted favourable response to adjuvant chemotherapy, whereas WT1 indicated a worsened survival (HR 1.636, 95% CI 1.083–2.473, p =.019) and resistance to chemotherapy. Interaction analysis showed that patients with negative BASP1 and high WT1 expression had the poorest outcome (HR 3.536, 95% CI 1.336–9.362, p =.011). Interpretation: We here describe an MS-based proteomics platform for developing biomarkers for pancreatic cancer. Bioinformatic analysis and clinical data from our study suggest that BASP1 and its putative interaction partner WT1 can be used as biomarkers for predicting outcomes in pancreatic cancer patients.
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2.
  • Ansari, Daniel, et al. (författare)
  • Proteomic and genomic profiling of pancreatic cancer
  • 2019
  • Ingår i: Cell Biology and Toxicology. - : Springer Science and Business Media LLC. - 0742-2091 .- 1573-6822. ; 35:4, s. 333-343
  • Forskningsöversikt (refereegranskat)abstract
    • Pancreatic cancer remains the most fatal human tumor type. The aggressive tumor biology coupled with the lack of early detection strategies and effective treatment are major reasons for the poor survival rate. Collaborative research efforts have been devoted to understand pancreatic cancer at the molecular level. Large-scale genomic studies have generated important insights into the genetic drivers of pancreatic cancer. In the post-genomic era, protein sequencing of tumor tissue, cell lines, pancreatic juice, and blood from patients with pancreatic cancer has provided a fundament for the development of new diagnostic and prognostic biomarkers. The integration of mass spectrometry and genomic sequencing strategies may help characterize protein identities and post-translational modifications that relate to a specific mutation. Consequently, proteomic and genomic techniques have become a compulsory requirement in modern medicine and health care. These types of proteogenomic studies may usher in a new era of precision diagnostics and treatment in patients with pancreatic cancer.
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3.
  • Ansari, Daniel, et al. (författare)
  • The hippo signaling pathway in pancreatic cancer
  • 2019
  • Ingår i: Anticancer research. - : Anticancer Research USA Inc.. - 0250-7005 .- 1791-7530. ; 39:7, s. 3317-3321
  • Forskningsöversikt (refereegranskat)abstract
    • Hippo signaling is a key regulator of organ size, tissue hemostasis and regeneration. Dysregulation of the Hippo pathway has been recognized in a variety of human cancers, including pancreatic cancer. YES-associated protein (YAP) and transcriptional coactivator with PDZ-binding motif (TAZ) are the two major downstream effectors of the Hippo pathway. YAP and TAZ have been found to promote pancreatic tumor development and progression, even in the absence of mutant Kirsten RAS (KRAS). Pancreatic cancer is associated with an abundant stromal reaction leading to tumor growth and immune escape. It has been found that YAP and TAZ modulate behavior of pancreatic stellate cells and recruitment of tumor-associated macrophages and myeloid-derived suppressor cells. Moreover, YAP and TAZ are associated with chemoresistance and poor prognosis in pancreatic cancer. This review dissects the role of Hippo signaling in pancreatic cancer, focusing on molecular mechanisms and prospects for future intervention.
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4.
  • Betancourt, Lazaro Hiram, et al. (författare)
  • The human melanoma proteome atlas-Defining the molecular pathology
  • 2021
  • Ingår i: Clinical and Translational Medicine. - : Wiley. - 2001-1326. ; 11:7, s. 1-20
  • Tidskriftsartikel (refereegranskat)abstract
    • The MM500 study is an initiative to map the protein levels in malignant melanoma tumor samples, focused on in-depth histopathology coupled to proteome characterization. The protein levels and localization were determined for a broad spectrum of diverse, surgically isolated melanoma tumors originating from multiple body locations. More than 15,500 proteoforms were identified by mass spectrometry, from which chromosomal and subcellular localization was annotated within both primary and metastatic melanoma. The data generated by global proteomic experiments covered 72% of the proteins identified in the recently reported high stringency blueprint of the human proteome. This study contributes to the NIH Cancer Moonshot initiative combining detailed histopathological presentation with the molecular characterization for 505 melanoma tumor samples, localized in 26 organs from 232 patients.
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5.
  • Betancourt, Lazaro, et al. (författare)
  • Quantitative Assessment of Urea In-Solution Lys-C/Trypsin Digestions Reveals Superior Performance at Room Temperature over Traditional Proteolysis at 37 °C.
  • 2018
  • Ingår i: Journal of Proteome Research. - : American Chemical Society (ACS). - 1535-3893 .- 1535-3907. ; 17:7, s. 2556-2561
  • Tidskriftsartikel (refereegranskat)abstract
    • Urea-containing buffer solutions are generally used in proteomic studies to aid protein denaturation and solubilization during cell and tissue lysis. It is well-known, however, that urea can lead to carbamylation of peptides and proteins and, subsequently, incomplete digestion of proteins. By the use of cells and tissues that had been lysed with urea, different solution digestion strategies were quantitatively assessed. In comparison with traditional proteolysis at 37 °C, urea in-solution digestion performed at room temperature improved peptide and protein identification and quantitation and had a minimum impact on miscleavage rates. Furthermore, the signal intensities and the number of carbamylated and pyroglutamic acid-modified peptides decreased. Overall, this led to a reduction in the negative effects often observed for such modifications. Data are available via ProteomeXchange with identifier PXD009426.
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6.
  • Hu, Dingyuan, et al. (författare)
  • Calcium-activated chloride channel regulator 1 as a prognostic biomarker in pancreatic ductal adenocarcinoma
  • 2018
  • Ingår i: BMC Cancer. - : Springer Science and Business Media LLC. - 1471-2407. ; 18:1
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: In a previous study utilizing mass spectrometry-based proteomics, we identified calcium-activated chloride channel regulator 1 (CLCA1) as a potential tumor suppressor in pancreatic cancer and the expression was inversely correlated with patient survival. The aim of the study was to further validate the prognostic significance of CLCA1 in pancreatic cancer. METHODS: CLCA1 expression was evaluated with tissue microarrays and immunohistochemistry in 140 patients with pancreatic ductal adenocarcinoma that underwent surgical resection at Skåne University Hospital, Sweden. Kaplan-Meier and Cox proportional hazards modeling were used to explore the association between CLCA1 and clinicopathological factors and survival. RESULTS: CLCA1 expression was denoted as positive in 90 tumors (64.3%), with positive staining being limited to the tumor cells. There were no significant association between CLCA1 expression and established clinicopathological parameters. Low CLCA1 expression correlated significantly with shorter disease-free survival (11.9 vs 17.5 months, P = 0.042). Multivariable Cox regression analysis confirmed the results (HR 0.61, 95% CI-0.40-0.92, P = 0.019). CONCLUSIONS: Low CLCA1 expression is an independent factor of poor disease-free survival in pancreatic cancer.
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7.
  • Hu, Dingyuan, et al. (författare)
  • Galectin 4 is a biomarker for early recurrence and death after surgical resection for pancreatic ductal adenocarcinoma
  • 2019
  • Ingår i: Scandinavian Journal of Gastroenterology. - : Informa UK Limited. - 0036-5521 .- 1502-7708. ; 54:1, s. 95-100
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Galectins are a group of carbohydrate-binding proteins that are involved in neoplastic development and progression. In a previous mass spectrometry-based study, we identified galectin 4 as a down-regulated protein in short-term survivors of pancreatic cancer. This study was performed to validate the prognostic value of galectin 4 in a larger cohort of pancreatic cancer patients undergoing surgical resection. Methods: Galectin 4 expression was evaluated by tissue microarrays and immunohistochemistry in 140 patients with surgically resected pancreatic cancer. Kaplan-Meier and Cox proportional hazards modeling were used to explore the association between galectin 4 and survival. Results: Galectin 4 staining expression was positive in 111 cases (79.3%). The expression of galectin 4 was significantly associated with tumor size (p =.008) and differentiation (p =.001). Galectin 4 expression was significantly correlated with disease recurrence within 1 year of surgery (adjusted HR 0.485, p =.027). There was also a significant association between galectin 4 and overall survival at 1 year (adjusted HR 0.482, p =.047) and at 3 years (adjusted HR 0.550, p =.025). Conclusion: Galectin 4 expression is a novel biomarker for early recurrence and mortality after surgical resection for pancreatic cancer.
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8.
  • Hu, Dingyuan, et al. (författare)
  • Low P4HA2 and high PRTN3 expression predicts poor survival in patients with pancreatic cancer
  • 2019
  • Ingår i: Scandinavian Journal of Gastroenterology. - : Informa UK Limited. - 0036-5521 .- 1502-7708. ; 54:2, s. 246-251
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: The tumor microenvironment in pancreatic cancer has a multifaceted role in disease development and progression. Prolyl 4-hydroxylase subunit alpha 2 (P4HA2) and proteinase 3 (PRTN3) are involved in the synthesis and degradation of collagen in the tumor microenvironment and have been identified as prognostic biomarker candidates for pancreatic cancer in our previous mass spectro-metric study. This study aimed at validating prognostic performance of P4HA2 and PRTN3 in a larger cohort of patients. Methods: The expression of P4HA2 and PRTN3 was evaluated with tissue microarrays and immunohis-tochemistry in 140 patients with pancreatic cancer who underwent surgical resection. Kaplan–Meier and Cox proportional hazards regression modeling were used to explore the association of P4HA2 and PRTN3, either separately or combined, with clinicopathological factors and survival. Results: Most tumors were positive for P4HA2 (133/140, 95%), whereas 77 tumors (55%) were positive for PRTN3. Expression levels of P4HA2 and PRTN3 did not separately correlate with disease-free or overall survival, in either uni-or multivariable analysis. However, a low P4HA2 and high PRTN3 expression correlated with shorter disease-free survival (median 7.0 vs. 13.4 months, adjusted HR 3.24, 95% CI: 1.13–9.25, p ¼.028) and overall survival (median 8.5 vs. 25.8 months, adjusted HR 8.14, 95% CI: 3.41–19.44, p <.001). Conclusion: Our data show that a low P4HA2 and high PRTN3 expression correlates with poor survival in patients with pancreatic cancer, indicating the involvement of collagen deposition in the restraint of the tumor. The tumoral expression of PRTN3 reinforces the therapeutic potential of PR1-targeting immunotherapy in pancreatic cancer.
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9.
  • Hu, Dingyuan, et al. (författare)
  • Proteomic analyses identify prognostic biomarkers for pancreatic ductal adenocarcinoma
  • 2018
  • Ingår i: Oncotarget. - : Impact Journals, LLC. - 1949-2553. ; 9:11, s. 9789-9807
  • Tidskriftsartikel (refereegranskat)abstract
    • Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignancy. Here we show that shotgun and targeted protein sequencing can be used to identify potential prognostic biomarkers in formalin-fixed paraffin-embedded specimens from 9 patients with PDAC with "short" survival (< 12 months) and 10 patients with "long" survival ( > 45 months) undergoing surgical resection. A total of 24 and 147 proteins were significantly upregulated [fold change ≥2 or ≤0.5 and P < 0.05; or different detection frequencies (≥5 samples)] in patients with "short" survival (including GLUT1) and "long" survival (including C9orf64, FAM96A, CDH1 and CDH17), respectively. STRING analysis of these proteins indicated a tight protein-protein interaction network centered on TP53. Ingenuity pathway analysis linked proteins representing "activated stroma factors" and "basal tumor factors" to poor prognosis of PDAC. It also highlighted TCF1 and CTNNB1 as possible upstream regulators. Further parallel reaction monitoring verified that seven proteins were upregulated in patients with "short" survival (MMP9, CLIC3, MMP8, PRTN3, P4HA2, THBS1 and FN1), while 18 proteins were upregulated in patients with "long" survival, including EPCAM, LGALS4, VIL1, CLCA1 and TPPP3. Thus, we verified 25 protein biomarker candidates for PDAC prognosis at the tissue level. Furthermore, an activated stroma status and protein-protein interactions with TP53 might be linked to poor prognosis of PDAC.
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10.
  • Hu, Dingyuan, et al. (författare)
  • Stromal fibronectin expression in patients with resected pancreatic ductal adenocarcinoma
  • 2019
  • Ingår i: World Journal of Surgical Oncology. - : Springer Science and Business Media LLC. - 1477-7819. ; 17:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Background: Pancreatic ductal adenocarcinoma (PDAC) is characterized by an extremely dense stroma, which has a fundamental role in tumor progression. Fibronectin (FN1) is the main constituent of the tumor stroma in pancreatic cancer. This study aimed to explore the association between FN1 and clinicopathological characteristics and disease survival. Methods: Formalin-fixed paraffin-embedded tissue samples from 138 patients with PDAC were constructed into a tissue microarray, followed by immunohistochemical analysis with a recombinant monoclonal FN1 antibody. Chi-square test or Fisher's exact test were used for comparison of FN1 expression and relevant clinicopathological parameters. Kaplan-Meier survival curves and Cox regression analyses were used to assess the association between FN1 and survival. Results: FN1 was detected in the stromal compartment in most cases (117/138, 84.8%). Compared to the low FN1 expression group, the high FN1 expression group had significantly larger tumor size (P = 0.002), more advanced T stage (P = 0.039) and N stage (P = 0.009), and also worse AJCC stage (P = 0.003). However, stromal FN1 expression was not associated with disease-free survival or overall survival. Conclusions: This study suggests that high stromal FN1 expression is associated with aggressive tumor characteristics in patients with resected PDAC. However, no association between FN1 expression and survival was found.
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11.
  • Hu, Dingyuan, et al. (författare)
  • The Emerging Role of Calcium-activated Chloride Channel Regulator 1 in Cancer
  • 2019
  • Ingår i: Anticancer research. - : Anticancer Research USA Inc.. - 1791-7530 .- 0250-7005. ; 39:4, s. 1661-1666
  • Forskningsöversikt (refereegranskat)abstract
    • Calcium-activated chloride channel regulator 1 (CLCA1) belongs to a group of secreted self-cleaving proteins, which activate calcium-dependent chloride channels. CLCA1 has been shown to participate in the pathogenesis of inflammatory airway diseases such as asthma. Recently, additional functions of CLCA1 have been unveiled, including its metalloprotease property and involvement in mucus homeostasis and immune modulation. Emerging evidence suggests that CLCA1 may also be involved in the pathophysiology of colorectal, pancreatic and ovarian cancer. There is growing interest in utilizing CLCA1 as a diagnostic, prognostic and predictive biomarker, as well as a potential therapeutic target. In this review, the functional role of CLCA1, with a particular focus on cancer, is described.
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12.
  • Kuras, Magdalena, et al. (författare)
  • Assessing Automated Sample Preparation Technologies for High-Throughput Proteomics of Frozen Well Characterized Tissues from Swedish Biobanks
  • 2019
  • Ingår i: Journal of Proteome Research. - : American Chemical Society (ACS). - 1535-3893 .- 1535-3907. ; 18:1, s. 548-556
  • Tidskriftsartikel (refereegranskat)abstract
    • Large cohorts of carefully collected clinical tissue materials play a central role in acquiring sufficient depth and statistical power to discover disease-related mechanisms and biomarkers of clinical significance. Manual preparation of such large sample cohorts requires experienced laboratory personnel. This carries other possible downsides such as low throughput, high risk of errors, and low reproducibility. In this work, three automated technologies for high-throughput proteomics of frozen sectioned tissues were compared. The instruments evaluated included the Bioruptor for tissue disruption and protein extraction; the Barocycler, which is able to disrupt tissues and digest the proteins; and the AssayMAP Bravo, a microchromatography platform for protein digestion, peptide desalting, and fractionation. Wide varieties of tissue samples from rat spleen, malignant melanoma, and pancreatic tumors were used for the assessment. The three instruments displayed reproducible and consistent results, as was proven by high correlations and low coefficients of variation between technical replicates and even more importantly, between replicates that were processed in different batches or at different time points. The results from this study allowed us to integrate these technologies into an automated sample preparation workflow for large-scale proteomic studies that are currently ongoing. Data are available via ProteomeXchange with identifiers PXD010296 and PXD011295.
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14.
  • Zhou, Qimin (författare)
  • Mass Spectrometry-Based Protein Biomarker Discovery in Pancreatic Cancer
  • 2020
  • Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
    • Background: Pancreatic cancer has the lowest survival rate among all the major cancer types. Although recent decades have seen advances in diagnostic imaging, surgical techniques, perioperative care and oncological treatment, this has not been translated into major improvements in clinical outcome. The 5-year survival rate remains less than 10% for all stages. One important unmet clinical need is biomarkers of clinical utility that can be used for early detection, prognostication and guidance of treatment.Aim: The aim of this thesis was to develop and validate protein biomarkers for diagnosis, prognosis and prediction of treatment response in pancreatic cancer.Methods: Mass spectrometry (MS)-based proteomic profiling of fresh frozen tissue specimens from pancreatic cancer patients and control subjects was conducted to identify potential protein biomarkers. These were subsequently verified by targeted proteomics (parallel reaction monitoring (PRM)) and bioinformatic analysis. Selected biomarker candidates were further validated in larger patient cohorts by tissue microarray-based immunohistochemistry studies, serum immunoassay measurements and in vitro experiments.Results/conclusions:(I) A proteolytic digestion protocol was optimised for MS-based proteomics studies. Urea in-solution digestion at room temperature (24 ± 2 °C) was found to be superior to traditional proteolysis at 37 °C, presenting several advantages such as fewer experimentally-induced post-translational modifications (carbamylation and pyroglutamic acid modifications), increased identification of peptides and proteins, and improved protein quantification by reducing coefficients of variations.(II) Some 165 potential protein biomarkers were identified in pancreatic cancer tissues and a panel of 45 biomarker candidates was verified by targeted MS. The novel protein BASP1 was significantly associated with favourable survival and positive response to adjuvant chemotherapy in pancreatic cancer patients. Bioinformatic analysis indicated that BASP1 interacts with Wilms tumour protein WT1. Patients with negative BASP1 and high WT1 expression had the poorest outcomes.(III) Prognostic analysis of YAP1 demonstrated a significant correlation with lower survival, at both mRNA expression levels (TCGA cohort) and protein expression levels (Lund cohort). Inhibiting the YAP1/TEAD interaction interfered with the expression of AREG, CTGF, CYR61 and MSLN in pancreatic cancer cells, which suggests that YAP1 transcriptional activity may affect the evolution and persistence of a fibrotic tumour microenvironment.(IV) Expression of AGP1 in pancreatic cancer tissues is significantly correlated with poor survival. Circulating levels of AGP1 and CA 19-9 yielded a high diagnostic accuracy (AUC 0.963) for discrimination of resectable pancreatic cancer patients against healthy controls.
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15.
  • Zhou, Qimin, et al. (författare)
  • YAP1 is an independent prognostic marker in pancreatic cancer and associated with extracellular matrix remodeling
  • 2020
  • Ingår i: Journal of Translational Medicine. - : Springer Science and Business Media LLC. - 1479-5876. ; 18, s. 1-10
  • Tidskriftsartikel (refereegranskat)abstract
    • BACKGROUND: Pancreatic cancer is a major cause of cancer-related mortality. The identification of effective biomarkers is essential in order to improve management of the disease. Yes-associated protein 1 (YAP1) is a downstream effector of the Hippo pathway, a signal transduction system implicated in tissue repair and regeneration, as well as tumorigenesis. Here we evaluate the biomarker potential of YAP1 in pancreatic cancer tissue.METHODS: YAP1 was selected as a possible biomarker for pancreatic cancer from global protein sequencing of fresh frozen pancreatic cancer tissue samples and normal pancreas controls. The prognostic utility of YAP1 was evaluated using mRNA expression data from 176 pancreatic cancer patients in The Cancer Genome Atlas (TCGA), as well as protein expression data from immunohistochemistry analysis of a local tissue microarray (TMA) cohort comprising 140 pancreatic cancer patients. Ingenuity Pathway Analysis was applied to outline the interaction network for YAP1 in connection to the pancreatic tumor microenvironment. The expression of YAP1 target gene products was evaluated after treatment of the pancreatic cancer cell line Panc-1 with three substances interrupting YAP-TEAD interaction, including Super-TDU, Verteporfin and CA3.RESULTS: Mass spectrometry based proteomics showed that YAP1 is the top upregulated protein in pancreatic cancer tissue when compared to normal controls (log2 fold change 6.4; p = 5E-06). Prognostic analysis of YAP1 demonstrated a significant correlation between mRNA expression level data and reduced overall survival (p = 0.001). In addition, TMA and immunohistochemistry analysis suggested that YAP1 protein expression is an independent predictor of poor overall survival [hazard ratio (HR) 1.870, 95% confidence interval (CI) 1.224-2.855, p = 0.004], as well as reduced disease-free survival (HR 1.950, 95% CI 1.299-2.927, p = 0.001). Bioinformatic analyses coupled with in vitro assays indicated that YAP1 is involved in the transcriptional control of target genes, associated with extracellular matrix remodeling, which could be modified by selected substances disrupting the YAP1-TEAD interaction.CONCLUSIONS: Our findings indicate that YAP1 is an important prognostic biomarker for pancreatic cancer and may play a regulatory role in the remodeling of the extracellular matrix.
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