journal article·2024-12-09

Piezo1 Mediates Glycolysis-Boosted Pancreatic Ductal Adenocarcinoma Chemoresistance within a Biomimetic Three-Dimensional Matrix Stiffness

Haopeng Pan, Xue Zhang, Shajun Zhu, Biwen Zhu, Di Wu, Jiashuai Yan, Xiaoqi Guan, Yan Huang, Yahong Zhao, Yumin Yang, Yibing Guo

Publisher page

Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a lethal cancer with a very low 5-year survival rate, which is partially attributed to chemoresistance. Although the regulation of chemoresistance through biochemical signaling is well-documented, the influence of three-dimensional (3D) matrix stiffness is poorly understood. In this study, gelatin methacrylate (GelMA) hydrogels were reconstructed with stiffnesses spanning the range from normal to cancerous PDAC tissues, which are termed as the soft group and stiff group. The PDAC cell lines (Mia-PaCa2 and CFPAC-1) encapsulated in the stiff group displayed a chemoresistance phenotype and were prominent against gemcitabine. RNA-sequencing and bioinformatics analysis indicated that glycolysis was apparently enriched in the stiff group versus the soft group, which was also validated through assays of glucose uptake, lactate production, and the expression of GLUT2, HK2, and LDHA. A rescue assay with 2-deoxy- d -glucose and N -acetylcysteine demonstrated that glycolysis is involved in chemoresistance. Furthermore, the expression of Piezo1 and the content of Ca 2+ were elevated in the stiff group. The addition of Yoda1 (Piezo1 agonist) in the soft group promoted glycolysis, whereas in the stiff group, treatment with GsMTx4 (Piezo1 inhibitor) inhibited glycolysis, which showcased that Piezo1 participated in 3D matrix stiffness-induced glycolysis. Taken together, Piezo1-mediated glycolysis was involved in PDAC chemoresistance triggered by the 3D matrix stiffness. Our study sheds light on the mechanism underlying chemoresistance in PDAC from the perspective of 3D mechanical cues.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Erythrocyte Function and Pathophysiology · Cancer Cells and Metastasis · 3D Printing in Biomedical Research

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Research Center of Clinical Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, China

Key Laboratory of Neuro-regeneration of Jiangsu and Ministry of Education, Co-innovation Center of Neuro-regeneration, Nantong University, Nantong, Jiangsu 226001, China

Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, Jiangsu 226001, China

Funding

Jiangsu Provincial Department of Education · Natural Science Foundation of Jiangsu Province · National Natural Science Foundation of China

References (78)

Show source-provided references
1. 10.1126/science.aaz086810.1126/science.aaz0868 ↗
2. 10.1038/s41392-023-01501-910.1038/s41392-023-01501-9 ↗
3. 10.1016/j.cmet.2021.04.00210.1016/j.cmet.2021.04.002 ↗
4. 10.1016/j.bbcan.2020.18841810.1016/j.bbcan.2020.188418 ↗
5. 10.1038/s41580-023-00583-110.1038/s41580-023-00583-1 ↗
6. 10.1186/s12967-022-03768-y10.1186/s12967-022-03768-y ↗
7. 10.1016/j.actbio.2022.08.00510.1016/j.actbio.2022.08.005 ↗
8. 10.1016/j.bbcan.2021.18858310.1016/j.bbcan.2021.188583 ↗
9. 10.1021/acsbiomaterials.3c0048710.1021/acsbiomaterials.3c00487 ↗
10. 10.1039/D3BM00598D10.1039/D3BM00598D ↗
11. 10.1016/j.semcancer.2010.04.00410.1016/j.semcancer.2010.04.004 ↗
12. 10.3390/ijms22221220010.3390/ijms222212200 ↗
13. 10.1038/s41563-024-01908-x10.1038/s41563-024-01908-x ↗
14. 10.1039/D2BM01410F10.1039/D2BM01410F ↗
15. 10.1038/s41586-020-1998-110.1038/s41586-020-1998-1 ↗
16. 10.3389/fonc.2021.63199110.3389/fonc.2021.631991 ↗
17. 10.1007/s13105-023-00960-610.1007/s13105-023-00960-6 ↗
18. 10.3390/metabo1107043210.3390/metabo11070432 ↗
19. 10.1007/s13577-022-00853-810.1007/s13577-022-00853-8 ↗
20. 10.1016/j.jhep.2022.03.02910.1016/j.jhep.2022.03.029 ↗
21. 10.1038/nature2545310.1038/nature25453 ↗
22. 10.1126/science.119327010.1126/science.1193270 ↗
23. 10.1016/j.ceca.2019.03.00710.1016/j.ceca.2019.03.007 ↗
24. 10.1002/path.555310.1002/path.5553 ↗
25. 10.1016/j.lfs.2022.12093610.1016/j.lfs.2022.120936 ↗
26. 10.3389/fimmu.2022.97648210.3389/fimmu.2022.976482 ↗
27. 10.1111/bph.1605010.1111/bph.16050 ↗
28. 10.1186/s13045-022-01252-010.1186/s13045-022-01252-0 ↗
29. 10.1038/s41571-020-0363-510.1038/s41571-020-0363-5 ↗
30. 10.1016/j.cgh.2009.07.03910.1016/j.cgh.2009.07.039 ↗
31. 10.3389/fcell.2021.78748510.3389/fcell.2021.787485 ↗
32. 10.1016/j.ijbiomac.2024.13182610.1016/j.ijbiomac.2024.131826 ↗
33. 10.1016/j.bioactmat.2023.02.00510.1016/j.bioactmat.2023.02.005 ↗
34. 10.1002/adhm.20230150610.1002/adhm.202301506 ↗
35. 10.1016/j.mtbio.2022.10039110.1016/j.mtbio.2022.100391 ↗
36. 10.1371/journal.pone.001290510.1371/journal.pone.0012905 ↗
37. 10.1002/jbm.a.3719110.1002/jbm.a.37191 ↗
38. 10.1002/adhm.20230113710.1002/adhm.202301137 ↗
39. 10.1016/j.drup.2023.10096010.1016/j.drup.2023.100960 ↗
40. 10.3390/cancers1406151910.3390/cancers14061519 ↗
41. 10.1186/s12943-021-01428-110.1186/s12943-021-01428-1 ↗
42. 10.1002/hep.2410810.1002/hep.24108 ↗
43. 10.1016/j.addr.2007.08.00710.1016/j.addr.2007.08.007 ↗
44. 10.1016/j.cell.2016.05.08210.1016/j.cell.2016.05.082 ↗
45. 10.1016/j.bbadis.2019.16562510.1016/j.bbadis.2019.165625 ↗
46. 10.1152/ajpcell.00331.202210.1152/ajpcell.00331.2022 ↗
47. Chang X. · Am. J. Cancer Res. · 2022 · 12 · 861
48. 10.1101/cshperspect.a04053510.1101/cshperspect.a040535 ↗
49. 10.1016/j.tibs.2015.12.00110.1016/j.tibs.2015.12.001 ↗
50. 10.1038/s41419-022-05213-w10.1038/s41419-022-05213-w ↗
51. 10.1007/s00018-019-03278-z10.1007/s00018-019-03278-z ↗
52. 10.1002/path.415910.1002/path.4159 ↗
53. 10.1002/1878-0261.1262910.1002/1878-0261.12629 ↗
54. 10.3390/cancers1202049010.3390/cancers12020490 ↗
55. 10.1016/j.bioactmat.2022.03.03610.1016/j.bioactmat.2022.03.036 ↗
56. 10.1016/j.cmet.2007.10.00210.1016/j.cmet.2007.10.002 ↗
57. 10.1038/nrc147810.1038/nrc1478 ↗
58. 10.1016/j.cmet.2020.04.00910.1016/j.cmet.2020.04.009 ↗
59. 10.1016/j.colsurfb.2020.11096910.1016/j.colsurfb.2020.110969 ↗
60. 10.1016/j.semcancer.2008.11.00610.1016/j.semcancer.2008.11.006 ↗
61. 10.1016/j.ccr.2006.04.02310.1016/j.ccr.2006.04.023 ↗
62. 10.1186/s13046-021-02229-610.1186/s13046-021-02229-6 ↗
63. 10.3390/ijms2101023410.3390/ijms21010234 ↗
64. 10.1002/jcp.2726110.1002/jcp.27261 ↗
65. 10.1016/j.cmet.2021.04.01810.1016/j.cmet.2021.04.018 ↗
66. 10.1158/0008-5472.CAN-06-371710.1158/0008-5472.CAN-06-3717 ↗
67. 10.1111/jcmm.1312610.1111/jcmm.13126 ↗
68. 10.1002/jcb.3052110.1002/jcb.30521 ↗
69. 10.1186/s12935-023-02992-w10.1186/s12935-023-02992-w ↗
70. 10.1016/j.biomaterials.2021.12118510.1016/j.biomaterials.2021.121185 ↗
71. 10.1016/j.biomaterials.2023.12212810.1016/j.biomaterials.2023.122128 ↗
72. 10.1016/j.tibs.2016.09.00410.1016/j.tibs.2016.09.004 ↗
73. 10.1038/s41586-019-1499-210.1038/s41586-019-1499-2 ↗
74. 10.3390/cancers1419495510.3390/cancers14194955 ↗
75. 10.1016/j.biopha.2021.11169210.1016/j.biopha.2021.111692 ↗
76. 10.1016/j.neuron.2018.09.04610.1016/j.neuron.2018.09.046 ↗
77. 10.1016/j.isci.2023.10627510.1016/j.isci.2023.106275 ↗
78. 10.1080/03008207.2021.200790210.1080/03008207.2021.2007902 ↗