Tumor‐Specific Peroxynitrite Overproduction Disrupts Metabolic Homeostasis for Sensitizing Melanoma Immunotherapy
Source abstract
Abstract
Abstract Tumor cells elicit metabolic reprogramming to establish an immunosuppressive tumor microenvironment (TME) for escaping from immunosurveillance. Therefore, interrupting the metabolic adaptation of tumor cells may be a promising strategy for TME immunomodulation, favoring immunotherapy. In this work, a tumor‐specific peroxynitrite nanogenerator APAP‐P‐NO is constructed that can selectively disrupt metabolic homeostasis in melanoma cells. Stimulated by melanoma‐characteristic acid, glutathione, and tyrosinase, APAP‐P‐NO can efficiently generate peroxynitrite through the in situ coupling of the produced superoxide anion and released nitric oxide. Metabolomics profiling reveals that the accumulated peroxynitrite induces a great decrease in metabolites in the tricarboxylic acid cycle. Meanwhile, the glycolysis‐produced lactate drops sharply both intracellularly and extracellularly under peroxynitrite stress. Mechanistically, peroxynitrite impairs the activity of glyceraldehyde‐3‐phosphate dehydrogenase in glucose metabolism through S‐nitrosylation. The metabolic alterations effectively reverse the immunosuppressive TME to evoke potent antitumor immune responses, including polarization of M2‐like macrophages to M1phenotype, reduction of myeloid‐derived suppressor cells and regulatory T cells, and restoration of CD8+ T cell infiltration. Combining APAP‐P‐NO with anti‐PD‐L1 achieves a significant inhibition against both primary and metastatic melanomas without systemic toxicities. Collectively, a tumor‐specific peroxynitrite overproduction approach is developed and the possible mechanism of peroxynitrite‐mediated TME immunomodulation is explored, providing a new strategy for facilitating immunotherapy sensitivity.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Nanoplatforms for cancer theranostics · Immune cells in cancer · Cancer, Stress, Anesthesia, and Immune Response
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Radiopharmacokinetics for Innovative Drugs Chinese Academy of Medical Sciences Tianjin Key Laboratory of Radiation Medicine and Molecular Nuclear Medicine Institute of Radiation Medicine Chinese Academy of Medical Sciences & Peking Union Medical College Tianjin 300192 P. R. China
Funding
National Natural Science Foundation of China
References (100+)
Show source-provided references
1. 10.1038/s41571-021-00552-710.1038/s41571-021-00552-7 ↗
2. 10.1016/S0140-6736(21)01206-X10.1016/S0140-6736(21)01206-X ↗
3. 10.1038/s41571-020-00460-210.1038/s41571-020-00460-2 ↗
4. 10.1038/s41590-022-01141-110.1038/s41590-022-01141-1 ↗
5. 10.1158/1078-0432.CCR-18-155010.1158/1078-0432.CCR-18-1550 ↗
6. 10.1038/s41577-021-00541-y10.1038/s41577-021-00541-y ↗
7. 10.1038/s41586-021-03326-410.1038/s41586-021-03326-4 ↗
8. 10.1016/j.molcel.2020.05.03410.1016/j.molcel.2020.05.034 ↗
9. 10.1038/s41467-017-01050-010.1038/s41467-017-01050-0 ↗
10. 10.1038/s41586-020-03045-210.1038/s41586-020-03045-2 ↗
11. 10.1038/s41577-020-0406-210.1038/s41577-020-0406-2 ↗
12. 10.1021/acsnano.0c0707110.1021/acsnano.0c07071 ↗
13. 10.1002/adma.20190463910.1002/adma.201904639 ↗
14. 10.1038/nature1349010.1038/nature13490 ↗
15. 10.1021/acsnano.1c0131210.1021/acsnano.1c01312 ↗
16. 10.1021/acsnano.1c0069810.1021/acsnano.1c00698 ↗
17. Mishra D. · Basic Clin. Res. · 2020 · 14
18. 10.1021/acs.chemrev.7b0056810.1021/acs.chemrev.7b00568 ↗
19. 10.1073/pnas.180493211510.1073/pnas.1804932115 ↗
20. 10.1158/0008-5472.CAN-18-098010.1158/0008-5472.CAN-18-0980 ↗
21. 10.1080/15321819.2019.158310910.1080/15321819.2019.1583109 ↗
22. 10.1152/physrev.00029.200610.1152/physrev.00029.2006 ↗
23. 10.1016/S0378-4274(02)00507-610.1016/S0378-4274(02)00507-6 ↗
24. 10.7150/thno.6257210.7150/thno.62572 ↗
25. 10.1016/j.biomaterials.2019.11963610.1016/j.biomaterials.2019.119636 ↗
26. 10.1016/j.biomaterials.2018.09.00410.1016/j.biomaterials.2018.09.004 ↗
27. 10.1039/C7NR00231A10.1039/C7NR00231A ↗
28. 10.1002/anie.20150453610.1002/anie.201504536 ↗
29. 10.1016/j.jconrel.2021.09.01710.1016/j.jconrel.2021.09.017 ↗
30. 10.1021/acs.accounts.9b0056910.1021/acs.accounts.9b00569 ↗
31. 10.1021/acsnano.6b0492110.1021/acsnano.6b04921 ↗
32. 10.2147/IJN.S29342710.2147/IJN.S293427 ↗
33. 10.3390/molecules2406111710.3390/molecules24061117 ↗
34. 10.1002/adma.20170449010.1002/adma.201704490 ↗
35. 10.1016/j.jconrel.2018.04.02510.1016/j.jconrel.2018.04.025 ↗
36. 10.1002/adma.20180404610.1002/adma.201804046 ↗
37. 10.1016/j.redox.2017.09.00910.1016/j.redox.2017.09.009 ↗
38. 10.1021/acs.molpharmaceut.9b0089310.1021/acs.molpharmaceut.9b00893 ↗
39. 10.1002/smll.20200174710.1002/smll.202001747 ↗
40. 10.1002/advs.20170104310.1002/advs.201701043 ↗
41. 10.1021/acsnano.9b0549310.1021/acsnano.9b05493 ↗
42. 10.1039/C8CC08868C10.1039/C8CC08868C ↗
43. 10.1016/j.biomaterials.2018.09.04310.1016/j.biomaterials.2018.09.043 ↗
44. 10.1039/D1TB01893K10.1039/D1TB01893K ↗
45. 10.1016/j.biomaterials.2020.12032910.1016/j.biomaterials.2020.120329 ↗
46. 10.1002/anie.20180137810.1002/anie.201801378 ↗
47. 10.1039/D1NR04992E10.1039/D1NR04992E ↗
48. 10.1039/C6CS00656F10.1039/C6CS00656F ↗
49. Liu J. · Int. J. Nanomed. · 2014 · 9 · 197
50. 10.1016/j.biomaterials.2020.11999910.1016/j.biomaterials.2020.119999 ↗
51. 10.1021/acs.bioconjchem.8b0073510.1021/acs.bioconjchem.8b00735 ↗
52. 10.1039/C6BM00271D10.1039/C6BM00271D ↗
53. 10.1002/adma.20180579810.1002/adma.201805798 ↗
54. 10.1016/j.jconrel.2020.05.03410.1016/j.jconrel.2020.05.034 ↗
55. 10.1080/10717544.2019.158842410.1080/10717544.2019.1588424 ↗
56. Vad N. M. · Int. J. Oncol. · 2009 · 35 · 193
57. 10.1002/jps.2150510.1002/jps.21505 ↗
58. 10.1021/jacs.2c0069710.1021/jacs.2c00697 ↗
59. 10.1021/jacs.1c0094510.1021/jacs.1c00945 ↗
60. 10.1016/j.apsb.2020.07.02210.1016/j.apsb.2020.07.022 ↗
61. 10.1186/s12951-022-01604-510.1186/s12951-022-01604-5 ↗
62. 10.1016/j.chempr.2020.02.02010.1016/j.chempr.2020.02.020 ↗
63. 10.1002/anie.20200096110.1002/anie.202000961 ↗
64. 10.1016/j.biomaterials.2020.12021010.1016/j.biomaterials.2020.120210 ↗
65. 10.1038/s41565-019-0373-610.1038/s41565-019-0373-6 ↗
66. 10.1016/j.matt.2019.07.00710.1016/j.matt.2019.07.007 ↗
67. Yu W. · ACS Nano · 2019 · 13 · 1784
68. 10.1126/science.108880510.1126/science.1088805 ↗
69. 10.1016/j.biomaterials.2014.01.03610.1016/j.biomaterials.2014.01.036 ↗
70. 10.1021/bm301694t10.1021/bm301694t ↗
71. 10.1021/acssensors.0c0234310.1021/acssensors.0c02343 ↗
72. 10.1021/acs.accounts.0c0064610.1021/acs.accounts.0c00646 ↗
73. 10.1016/j.redox.2020.10183410.1016/j.redox.2020.101834 ↗
74. 10.3390/pharmaceutics1308123310.3390/pharmaceutics13081233 ↗
75. 10.1074/jbc.271.8.420910.1074/jbc.271.8.4209 ↗
76. 10.1126/scisignal.abj422010.1126/scisignal.abj4220 ↗
77. 10.1016/j.molcel.2022.06.03010.1016/j.molcel.2022.06.030 ↗
78. 10.1016/j.molcel.2018.07.01510.1016/j.molcel.2018.07.015 ↗
79. 10.1038/s41568-021-00378-610.1038/s41568-021-00378-6 ↗
80. 10.1038/s42255-020-00317-z10.1038/s42255-020-00317-z ↗
81. 10.1002/mco2.610.1002/mco2.6 ↗
82. 10.1038/s41573-021-00339-610.1038/s41573-021-00339-6 ↗
83. 10.1002/adma.20210601010.1002/adma.202106010 ↗
84. 10.1002/EXP.2021016610.1002/EXP.20210166 ↗
85. 10.1002/adma.20220262510.1002/adma.202202625 ↗
86. 10.1002/smll.20200213810.1002/smll.202002138 ↗
87. 10.1002/anie.20180059410.1002/anie.201800594 ↗
88. 10.1021/acsnano.1c1142210.1021/acsnano.1c11422 ↗
89. 10.1002/anie.20210301510.1002/anie.202103015 ↗
90. 10.1002/anie.20201330110.1002/anie.202013301 ↗
91. 10.1038/nrd222210.1038/nrd2222 ↗
92. 10.1016/j.it.2015.01.00310.1016/j.it.2015.01.003 ↗
93. 10.1074/jbc.R113.46026110.1074/jbc.R113.460261 ↗
94. 10.1007/s00109-012-0878-z10.1007/s00109-012-0878-z ↗
95. 10.1126/sciadv.abg196410.1126/sciadv.abg1964 ↗
96. 10.1038/s41556-022-01002-x10.1038/s41556-022-01002-x ↗
97. 10.1016/j.chembiol.2012.07.01910.1016/j.chembiol.2012.07.019 ↗
98. 10.1038/s41571-022-00717-y10.1038/s41571-022-00717-y ↗
99. 10.1021/acsami.0c2042210.1021/acsami.0c20422 ↗
100. 10.1016/j.biomaterials.2020.12063610.1016/j.biomaterials.2020.120636 ↗