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The tumor microenvironment: shaping cancer progression and treatment response

Desai, Sharav A., Patel, Vipul P., Bhosle, Kunal P., Nagare, Sandip D., Thombare, Kirti C.·2025·Journal of Chemotherapy

Abstract

The tumor microenvironment (TME) plays a crucial role in cancer progression and treatment response. It comprises a complex network of stromal cells, immune cells, extracellular matrix, and blood vessels, all of which interact with cancer cells and influence tumor behaviour. This review article provides an in-depth examination of the TME, focusing on stromal cells, blood vessels, signaling molecules, and ECM, along with commonly available therapeutic compounds that target these components. Moreover, we explore the TME as a novel strategy for discovering new anti-tumor drugs. The dynamic and adaptive nature of the TME offers opportunities for targeting specific cellular interactions and signaling pathways. We discuss emerging approaches, such as combination therapies that simultaneously target cancer cells and modulate the TME. Finally, we address the challenges and future prospects in targeting the TME. Overcoming drug resistance, improving drug delivery, and identifying new therapeutic targets within the TME are among the challenges discussed. We also highlight the potential of personalized medicine and the integration of emerging technologies, such as immunotherapy and nanotechnology, in TME-targeted therapies. This comprehensive review provides insights into the TME and its therapeutic implications. Understanding the TME's complexity and targeting its components offer promising avenues for the development of novel anti-tumor therapies and improved patient outcomes.

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Crossref · 10.1080/1120009x.2023.2300224

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Research works printed but not linked: 171

  1. 10.3322/caac.21492 · DOI · Paper page
  2. 10.1016/S0140-6736(17)33326-3 · DOI · Paper page
  3. 10.1177/20503121211034366 · DOI · Paper page
  4. 10.1142/S2339547818300020 · DOI
  5. 10.1158/1078-0432.CCR-18-3870 · DOI
  6. 10.1038/ng.2764 · DOI · Paper page
  7. Cooper GM, Hausman RE. The cell: a molecular approach. 2nd ed. Sinauer Associates. 2000. https://www.ncbi.nlm.nih.gov/books/NBK9839/
  8. 10.1002/cam4.5698 · DOI
  9. 10.1158/2159-8290.CD-20-1808 · DOI
  10. 10.3390/cancers14163906 · DOI
  11. 10.3389/fmolb.2019.00160 · DOI · Paper page
  12. 10.1007/s00018-019-03351-7 · DOI
  13. 10.1038/nm.3394 · DOI · Paper page
  14. 10.1016/j.semcancer.2019.07.028 · DOI
  15. Hassouna A, M, Abd Elgwad M, Fahmy H. Stromal stem cells: nature, biology and potential therapeutic applications. In: stromal Cells - Structure, function, and therapeutic implications. IntechOpen; 2019.
  16. 10.5966/sctm.2011-0018 · DOI
  17. 10.1016/j.semcdb.2007.09.012 · DOI
  18. 10.1084/jem.20122344 · DOI
  19. 10.1158/2159-8290.CD-18-0710 · DOI · Paper page
  20. 10.1073/pnas.1620164114 · DOI · Paper page
  21. 10.1371/journal.pone.0007965 · DOI · Paper page
  22. 10.3390/cancers13184720 · DOI
  23. 10.3390/cancers15061899 · DOI
  24. 10.3390/cancers13143466 · DOI
  25. 10.1177/1533033819879905 · DOI
  26. 10.37349/etat.2022.00103 · DOI
  27. 10.3390/cancers14051231 · DOI
  28. 10.3390/cancers12071718 · DOI
  29. 10.2147/DDDT.S264715 · DOI
  30. 10.3390/cells9030775 · DOI
  31. 10.1124/jpet.117.244129 · DOI
  32. 10.18632/oncotarget.28145 · DOI
  33. Chatterjee S Behnam Azad B Nimmagadda S. The intricate role of CXCR4 in cancer. 2014. p. 31–82. · DOI
  34. 10.1038/s41568-021-00340-6 · DOI
  35. 10.3390/ijms23116249 · DOI
  36. 10.3324/haematol.2019.230227 · DOI
  37. 10.3389/fphar.2013.00030 · DOI
  38. 10.3390/ijms21249739 · DOI · Paper page
  39. 10.1586/14737140.2016.1123626 · DOI
  40. 10.7150/jca.17144 · DOI
  41. 10.3390/curroncol29050247 · DOI · Paper page
  42. 10.3748/wjg.v20.i22.6716 · DOI
  43. 10.1038/s41416-018-0328-y · DOI
  44. 10.1182/blood.V95.10.3183.010k36_3183_3190 · DOI
  45. 10.2217/imt.09.70 · DOI
  46. 10.3389/fimmu.2022.925985 · DOI · Paper page
  47. 10.2165/11595950-000000000-00000 · DOI
  48. 10.3389/fimmu.2022.1039260 · DOI
  49. 10.1101/gad.314617.118 · DOI · Paper page
  50. 10.3390/biomedicines9050486 · DOI
  51. 10.1002/eji.201848058 · DOI
  52. 10.1002/bies.202100285 · DOI
  53. 10.1016/j.cellimm.2017.10.002 · DOI
  54. 10.1038/s41568-022-00466-1 · DOI
  55. 10.3389/fimmu.2023.1231315 · DOI
  56. 10.1007/978-3-030-59038-3_17 · DOI
  57. 10.3389/fimmu.2020.583084 · DOI
  58. 10.3390/cancers13215318 · DOI
  59. 10.5483/BMBRep.2021.54.1.224 · DOI
  60. 10.3389/fimmu.2021.613492 · DOI
  61. 10.14712/18059694.2016.63 · DOI
  62. 10.1007/s00262-021-02881-z · DOI
  63. 10.1038/nri2506 · DOI · Paper page
  64. 10.1007/978-3-030-35723-8_8 · DOI
  65. 10.1002/ctm2.497 · DOI
  66. 10.1016/j.ccr.2010.11.030 · DOI
  67. 10.1007/s10456-009-9160-6 · DOI
  68. 10.3390/ijms23084408 · DOI
  69. 10.1101/cshperspect.a006478 · DOI
  70. 10.1016/s0092-8674(00)81848-6 · DOI · Paper page
  71. De Luca A, Normanno N. Tivozanib, a pan-VEGFR tyrosine kinase inhibitor for the potential treatment of solid tumors. IDrugs. 2010;13(9):636–645.
  72. 10.1007/s40262-019-00766-0 · DOI
  73. 10.1038/s41392-022-01168-8 · DOI
  74. 10.1016/j.trecan.2018.02.005 · DOI
  75. 10.1016/j.ccell.2017.07.001 · DOI
  76. 10.3389/fcell.2021.676342 · DOI
  77. 10.1038/s41598-023-31352-x · DOI
  78. 10.1387/ijdb.103167dr · DOI
  79. 10.1186/s13045-019-0778-6 · DOI · Paper page
  80. 10.1210/en.2006-1121 · DOI
  81. 10.3389/fgene.2022.1022739 · DOI
  82. 10.3389/fendo.2011.00102 · DOI
  83. 10.3390/ijms21165761 · DOI
  84. 10.7717/peerj.5173 · DOI
  85. 10.1146/annurev-nutr-122319-034142 · DOI · Paper page
  86. 10.1002/jcb.22793 · DOI
  87. 10.3390/nu11102307 · DOI
  88. 10.1016/j.bj.2019.02.003 · DOI
  89. 10.3389/fendo.2020.00114 · DOI
  90. 10.1038/s41573-021-00337-8 · DOI · Paper page
  91. 10.1515/hmbci-2014-0037 · DOI
  92. 10.3390/cancers15174250 · DOI
  93. 10.1007/s00125-012-2629-7 · DOI
  94. 10.1042/CS20200895 · DOI
  95. 10.1172/JCI127201 · DOI
  96. 10.3389/fcell.2020.00332 · DOI
  97. 10.1007/s10555-022-10059-x · DOI
  98. 10.3390/cancers11030345 · DOI
  99. 10.3390/cancers12040879 · DOI
  100. 10.1097/MD.0000000000004766 · DOI · Paper page
  101. 10.1016/j.drup.2016.06.006 · DOI
  102. 10.3892/ijo.2014.2362 · DOI
  103. 10.1007/s00018-015-1920-4 · DOI
  104. 10.1038/cdd.2014.37 · DOI
  105. 10.1111/febs.13023 · DOI
  106. 10.1530/VB-19-0032 · DOI
  107. Sloan B, Scheinfeld NS. Pazopanib, a VEGF receptor tyrosine kinase inhibitor for cancer therapy. Curr Opin Investig Drugs. 2008;9(12):1324–1335.
  108. 10.1186/s13045-019-0718-5 · DOI
  109. 10.3109/10428194.2012.728597 · DOI · Paper page
  110. 10.1038/aps.2015.73 · DOI
  111. 10.3892/ol.2022.13583 · DOI
  112. 10.1186/2045-824X-6-18 · DOI · Paper page
  113. 10.1007/s00280-012-2000-1 · DOI
  114. 10.1093/neuonc/noz232 · DOI
  115. 10.3389/fonc.2013.00211 · DOI
  116. 10.1186/s12935-020-01719-5 · DOI · Paper page
  117. 10.3390/ijms22115736 · DOI
  118. 10.3389/fonc.2019.01482 · DOI · Paper page
  119. 10.3390/cancers14010238 · DOI
  120. 10.1016/j.cub.2020.06.081 · DOI · Paper page
  121. Nataatmadja M, West J, Prabowo S, et al. Angiotensin II receptor antagonism reduces transforming growth factor beta and smad signaling in thoracic aortic aneurysm. Ochsner J. 2013;13(1):42–48.
  122. 10.1046/j.0022-202x.2001.01690.x · DOI
  123. 10.18632/oncotarget.23869 · DOI
  124. 10.1242/jcs.056770 · DOI
  125. 10.3390/antiox10020312 · DOI
  126. 10.3390/ijms221810098 · DOI
  127. 10.3389/fonc.2018.00145 · DOI
  128. 10.1038/s41467-020-18794-x · DOI · Paper page
  129. 10.3390/ijms19113300 · DOI
  130. 10.3389/fimmu.2023.1199513 · DOI
  131. 10.3390/cancers12103067 · DOI
  132. 10.3390/cancers12051232 · DOI
  133. 10.3390/molecules22111818 · DOI
  134. 10.1155/2014/357027 · DOI
  135. 10.3390/cancers12030731 · DOI
  136. 10.1080/17460441.2016.1201057 · DOI
  137. 10.3892/mmr.2018.8769 · DOI
  138. 10.3390/ijms21186479 · DOI
  139. 10.2174/156800911794519752 · DOI
  140. 10.3390/ijms23031733 · DOI
  141. 10.1186/s12943-019-0954-x · DOI
  142. 10.2147/JPR.S278285 · DOI
  143. 10.1152/physiol.00045.2009 · DOI
  144. 10.2741/3612 · DOI
  145. 10.3390/cancers14122884 · DOI
  146. 10.3390/cancers14092178 · DOI
  147. 10.1152/ajpcell.00151.2022 · DOI
  148. 10.3390/ijms22189804 · DOI
  149. 10.1007/978-1-0716-0759-6_10 · DOI
  150. 10.3389/fcell.2023.1154576 · DOI
  151. 10.3390/ijms23116241 · DOI
  152. Ruan Y Ogana H Gang E et al. WNT signaling in the tumor microenvironment. 2021. p. 107–121. · DOI
  153. 10.3389/fonc.2023.1171418 · DOI
  154. 10.3389/fcell.2021.738373 · DOI
  155. 10.1177/20503121211069012 · DOI
  156. 10.1042/BST20160387 · DOI
  157. 10.1186/s13045-020-01030-w · DOI
  158. 10.1038/s41392-020-00359-5 · DOI
  159. 10.2174/1381612823666170616082125 · DOI
  160. 10.7150/ijms.1.101 · DOI
  161. 10.37349/etat.2023.00137 · DOI
  162. 10.1016/j.canlet.2022.215925 · DOI · Paper page
  163. 10.1146/annurev.pathmechdis.3.121806.151434 · DOI
  164. 10.3389/fmolb.2019.00011 · DOI
  165. 10.1101/cshperspect.a007666 · DOI
  166. 10.1158/2159-8290.CD-19-0761 · DOI · Paper page
  167. 10.3390/cells11182812 · DOI
  168. 10.3389/fimmu.2022.996663 · DOI
  169. 10.3390/biology12060832 · DOI
  170. 10.3389/fimmu.2020.01324 · DOI
  171. 10.3390/biology10111178 · DOI

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Metadata

Authors
Desai, S. A., Patel, V. P., Bhosle, K. P., Nagare, S. D., & Thombare, K. C.
Venue
Journal of Chemotherapy
Published
2024-01-05
Volume
37
Issue
1
Pages
15-44
ISSN
  • 1120-009X
  • 1973-9478
Cited by
106
References
17
Language
en

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