Clinical molecular subtyping reveals intrinsic mesenchymal reprogramming in gastric cancer cells

참고문헌 (58)

1. Bang, Y. J., "Adjuvant capecitabine and oxaliplatin for gastric cancer after D2gastrectomy(CLASSIC) : a phase 3 open-label, randomised controlled trial", Lancet, 379, pp.315~321 (2012)
2. Noh, S. H., "Adjuvant capecitabine plus oxaliplatin for gastric cancer after D2gastrectomy(CLASSIC) : 5-year follow-up of an open-label, randomised phase 3trial", Lancet Oncol, 15, pp.1389~1396 (2014)
3. Sohn, B. H., "Clinical significance of four molecular subtypes of gastric cancer identified by the Cancer Genome Atlas Project", Clin. Cancer Res, 23, pp.4441~4449 (2017)
4. The Cancer Genome Atlas Research Network, "Comprehensive molecular characterization of gastric adenocarcinoma", Nature, 513, pp.202~209 (2014)
5. Lei, Z., "Identification of molecular subtypes of gastric cancer with different responses to PI3-kinase inhibitors and 5-fluorouracil", Gastroenterology, 145, pp.554~565 (2013)
6. Oh, S. C., "Clinical and genomic landscape of gastric cancer with a mesenchymal phenotype", Nat. Commun, 9, pp.1777~ (2018)
7. Cristescu, R., "Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes", Nat. Med, 21, pp.449~456 (2015)
8. Kim, S. T., "Comprehensive molecular characterization of clinical responses to PD-1 inhibition in metastatic gastric cancer", Nat. Med, 24, pp.1449~1458 (2018)
9. Wu, Y., "Comprehensive genomic meta-analysis identifies intra-tumoural stroma as a predictor of survival in patients with gastric cancer", Gut, 62, pp.1100~1111 (2013)
10. Isella, C., "Stromal contribution to the colorectal cancer transcriptome", Nat. Genet, 47, pp.312~319 (2015)
11. Calon, A., "Stromal gene expression defines poor-prognosis subtypes in colorectal cancer", Nat. Genet, 47, pp.320~329 (2015)
12. Ishimoto, T., "Activation of transforming growth factor beta 1 signaling in gastric cancer-associated fibroblasts increases their motility, via expression of rhomboid 5 homolog 2, and ability to induce invasiveness of gastric cancer cells", Gastroenterology, 153, pp.191~204 (2017)
13. Dongre, A., "New insights into the mechanisms of epithelial–mesenchymal transition and implications for cancer", Nat. Rev. Mol. Cell Biol, 20, pp.69~84 (2019)
14. Li, H., "Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors", Nat. Genet, 49, pp.708~718 (2017)
15. Isella, C., "Selective analysis of cancer-cell intrinsic transcriptional traits defines novel clinically relevant subtypes of colorectal cancer", Nat. Commun, 8, pp.15107~ (2017)
16. McFaline-Figueroa, J. L., "A pooled single-cell genetic screen identifies regulatory checkpoints in the continuum of the epithelial-to-mesenchymal transition", Nat. Genet, 51, pp.1389~1398 (2019)
17. Lin, W., "Single-cell transcriptome analysis of tumor and stromal compartments of pancreatic ductal adenocarcinoma primary tumors and metastatic lesions", Genome Med, 12, pp.80~ (2020)
18. Puram, S. V., "Single-cell transcriptomic analysis of primary and metastatic tumor ecosystems in head and neck cancer", Cell, 171, pp.1611~1624 (2017)
19. Cheong, J. H., "Predictive test for chemotherapy response in resectable gastric cancer : a multi-cohort, retrospective analysis", Lancet Oncol, 19, pp.629~638 (2018)
20. Sun, D., "TISCH : a comprehensive web resource enabling interactive singlecell transcriptome visualization of tumor microenvironment", Nucleic Acids Res, 49, pp.D1420~D1430 (2020)
21. Pont, F., "Single-cell signature explorer for comprehensive visualization of single cell signatures across scRNA-seq datasets", Nucleic Acids Res, 47, pp.e133~ (2019)
22. 배윤성, "Usefulness of Immunohistochemistry for Microsatellite Instability Screening in Gastric Cancer", Gut and Liver, 9(5), pp.629~635 (2015), 거트앤리버 소화기연관학회협의회
23. Taylor, A. M., "Genomic and functional approaches to understanding cancer aneuploidy", Cancer Cell, 33, pp.676~689 (2018)
24. Carter, S. L., "Absolute quantification of somatic DNA alterations in human cancer", Nat. Biotechnol, 30, pp.413~421 (2012)
25. Thorsson, V., "The immune landscape of cancer", Immunity, 48, pp.812~830 (2018)
26. Aran, D., "xCell: digitally portraying the tissue cellular heterogeneity landscape", Genome Biol, 18, pp.220~ (2017)
27. Choi, Y. Y., "Establishment and characterisation of patient-derived xenografts as paraclinical models for gastric cancer", Sci. Rep, 6, pp.22172~ (2016)
28. Brunet, J. P., "Metagenes and molecular pattern discovery using matrix factorization", Proc. Natl Acad. Sci. USA, 101, pp.4164~4169 (2004)
29. 김선영, "Meta- and Gene Set Analysis of Stomach Cancer Gene Expression Data", Molecules and Cells, 24(2), pp.200~209 (2007), 한국분자세포생물학회
30. Lee, H. J., "Gene expression profiling of metaplastic lineages identifies CDH17as a prognostic marker in early stage gastric cancer", Gastroenterology, 139, pp.213~225 (2010)
31. Weis, V. G., "Current understanding of SPEM and its standing in the preneoplastic process", Gastric cancer, 12, pp.189~197 (2009)
32. Bindea, G., "Spatiotemporal dynamics of intratumoral immune cells reveal the immune landscape in human cancer", Immunity, 39, pp.782~795 (2013)
33. Parekh, A., "Regulation of cancer invasiveness by the physical extracellular matrix environment", Cell Adhes. Migr, 3, pp.288~292 (2009)
34. Kitadai, Y., "Cancer-stromal cell interaction and tumor angiogenesis in gastric cancer", Cancer Microenviron, 3, pp.109~116 (2010)
35. Huang, L., "Epithelial-mesenchymal transition in gastric cancer", Am. J. Transl. Res, 7, pp.2141~2158 (2015)
36. Chiurillo, M. A., "Role of the Wnt", beta-catenin pathway in gastric cancer : An indepth literature review, 2015, pp.5, 84~102
37. Jin, Z., "Biomarkers for gastric cancer : progression in early diagnosis and prognosis(Review)", Oncol. Lett, 9, pp.1502~1508 (2015)
38. Takaishi, S., "Identification of gastric cancer stem cells using the cell surface marker CD44", Stem Cells, 27, pp.1006~1020 (2009)
39. Mayer, B., "De-novo expression of CD44 and survival in gastric cancer", Lancet, 342, pp.1019~1022 (1993)
40. Tan, S. H., "AQP5 enriches for stem cells and cancer origins in the distal stomach", Nature, 578, pp.437~443 (2020)
41. Wang, Y., "Conversion of human gastric epithelial cells to multipotent endodermal progenitors using defined small molecules", Cell Stem Cell, 19, pp.449~461 (2016)
42. Van Loo, P., "Allele-Specific copy number Analysis of tumors", Proc. Natl Acad. Sci. USA, 107, pp.16910~16915 (2010)
43. Uhlik, M. T., "Stromal-based signatures for the classification of gastric cancer", Cancer Res, 76, pp.2573~2586 (2016)
44. Kramer, A., "Causal analysis approaches in ingenuity pathway analysis", Bioinformatics, 30, pp.523~530 (2014)
45. Subramanian, A., "A next generation connectivity map : L1000 platform and the first 1, 000, 000 profiles", Cell, 171, pp.1437~1452 (2017)
46. Corsello, S. M., "Discovering the anticancer potential of non-oncology drugs by systematic viability profiling", Nat. Cancer, 1, pp.235~248 (2020)
47. Voon, D. C. -C., "EMT-induced stemness and tumorigenicity are fueled by the EGFR", Ras pathway, 2013, pp.8, e70427~
48. Foroutan, M., "A transcriptional program for detecting TGFbeta-induced EMT in cancer", Mol. Cancer Res, 15, pp.619~631 (2017)
49. Korkut, A., "A pan-cancer analysis reveals high-frequency genetic alterations in mediators of signaling by the TGF-β superfamily", Cell Syst, 7, pp.422~437 (2018)
50. Liberzon, A., "The molecular signatures database(MSigDB)hallmark gene set collection", Cell Syst, 1, pp.417~425 (2015)
51. Corso, S., "A comprehensive PDX gastric cancer collection captures cancer cell–intrinsic transcriptional MSI traits", Cancer Res, 79, pp.5884~5896 (2019)
52. Lee, J., "Selective cytotoxicity of the NAMPT inhibitor FK866 toward gastric cancer cells with markers of the epithelial-mesenchymal transition, due to loss of NAPRT", Gastroenterology, 155, pp.799~814 (2018)
53. Cheong, J. -H., "Development and validation of a prognostic and predictive 32-gene signature for gastric cancer", Nat. Commun, 13, pp.774~ (2022)
54. Jung, M., "Safety and preliminary antitumor activity of the transforming growth factor beta(TGF-β)receptor I kinase inhibitor, vactosertib, in combination with paclitaxel in patients with metastatic gastric adenocarcinoma", J. Clin. Oncol, 38, pp.e16505~e16505 (2020)
55. Sathe, A., "Single cell genomic characterization reveals the cellular reprogramming of the gastric tumor microenvironment", Clin. Cancer Res, 26, pp.2640~2653 (2020)
56. Na, D., "Predictive biomarkers for 5-fluorouracil and oxaliplatin-based chemotherapy in gastric cancers via profiling of patient-derived xenografts", Nat. Commun, 12, pp.4840~ (2021)
57. Sundar, R., "Spatial profiling of gastric cancer patient-matched primary and locoregional metastases reveals principles of tumour dissemination", Gut, 70, pp.1823~ (2021)
58. Jeong, H. Y., "Spatially distinct reprogramming of the tumor microenvironment based on tumor invasion in diffuse-type gastric cancers", Clin. Cancer Res, 27, pp.6529~6542 (2021)

관련 논문AI추천