31 results on '"Sandhu, Vandana"'
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2. Supplementary Figure S3. The figure shows CNA profile of three IPMN samples. from The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma
3. Supplementary Figure S5. Frequency plot of the CNAs of periampullary adenocarcinomas based on site of origin. from The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma
4. Supplementary Table S1: Frequencies of gains and losses for selected genes in both OUH and TCGA cohorts. from The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma
5. Supplementary Figure S1. Heatmap shows the cytobands amplified and deleted in OUH and TCGA cohort. from The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma
6. Supplementary Figure S2. CNA profile of the two xenografts cell lines and their original tumors. from The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma
7. Data from The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma
8. Supplementary Table S3: Table shows the pathway deregulated in OUH and TCGA cohort. from The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma
9. Supplementary Figure S4. Correlation between genome instability index (GII) and ploidy. from The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma
10. Supplementary file: Legends of supplementary material from The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma
11. Supplementary Table S2: Table shows the correlation score (r) between allele frequency and gene expression from The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma
12. MetaGxData: Clinically Annotated Breast, Ovarian and Pancreatic Cancer Datasets and their Use in Generating a Multi-Cancer Gene Signature
13. Author Correction: Transcription phenotypes of pancreatic cancer are driven by genomic events during tumor evolution
14. Profiling of microRNAs in tumor interstitial fluid of breast tumors – a novel resource to identify biomarkers for prognostic classification and detection of cancer
15. 85: The Role of Cytokine Signaling in the Reversal of Chronic Lymphedema
16. Molecular characterisation of TP53 mutated squamous cell carcinomas of the lung to identify putative targets for therapy
17. Transcription phenotypes of pancreatic cancer are driven by genomic events during tumor evolution
18. Meta-Analysis of 1,200 Transcriptomic Profiles Identifies a Prognostic Model for Pancreatic Ductal Adenocarcinoma
19. Abstract 4623: Meta-analysis of transcriptomic profiles identifies prognostic model for pancreatic ductal adenocarcinoma patients
20. Meta-analysis of 1,200 transcriptomic profiles identifies a prognostic model for pancreatic ductal adenocarcinoma
21. Circulating microRNAs associated with prolonged overall survival in lung cancer patients treated with nivolumab
22. Serum cytokine profiles and metabolic tumor burden in patients with non-small cell lung cancer undergoing palliative thoracic radiation therapy
23. A systems biology approach to integrated molecular analysis in pancreatic and periampullary adenocarcinoma
24. Profiling of microRNAs in tumor interstitial fluid of breast tumors - a novel resource to identify biomarkers for prognostic classification and detection of cancer
25. Non-small cell lung cancer is characterised by a distinct inflammatory signature in serum compared with chronic obstructive pulmonary disease
26. The Genomic Landscape of Pancreatic and Periampullary Adenocarcinoma
27. MetaGxData: Clinically Annotated Breast, Ovarian and Pancreatic Cancer Datasets and their Use in Generating a Multi-Cancer Gene Signature
28. Serum N-Glycome Characterization in Patients with Resectable Periampullary Adenocarcinoma
29. Molecular signatures of mRNAs and miRNAs as prognostic biomarkers in pancreatobiliary and intestinal types of periampullary adenocarcinomas
30. Profiling of micro RNAs in tumor interstitial fluid of breast tumors - a novel resource to identify biomarkers for prognostic classification and detection of cancer.
31. Generation and Characterisation of Novel Pancreatic Adenocarcinoma Xenograft Models and Corresponding Primary Cell Lines
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