journal article·2022Open access

Revealing the heterogeneity in neuroblastoma cells via nanopillar-guided subnuclear deformation

Yongpeng Zeng, Priya Dharshana Ramani, Weibo Gao, Wenting Zhao

Nanoscale· Volume 14· Issue 7

Abstract

Neuroblastoma is a hard-to-treat childhood cancer that is well known for the heterogeneity of its clinical phenotypes. Although the risk levels of neuroblastoma have been defined from a complex matrix of clinical and tumor biological factors to guide treatment, the accuracy in predicting cancer relapse and related fatality is still poor in many cases, where heterogeneity with subpopulations in highly malignant or drug-resistant tumors is believed to be underestimated by the current analysis methods. Therefore, new technologies to probe neuroblastoma heterogeneity are needed for the improvement of risk stratification. In this study, we introduce the nanopillar-guided subnuclear morphology as an effective indicator for heterogeneity evaluation among individual neuroblastoma cells. Nuclear polymorphisms, especially the generation of subnuclear irregularities, are well-known markers of high cancer metastasis risk and poor prognosis. By quantitatively evaluating the orientation of nanopillar-guided nuclear envelope features in neuroblastoma cells, we identified two subpopulations with differential motilities and EMT marker levels. Moreover, with endogenous expression, cells with high levels of the nuclear structure protein lamin A exhibit anisotropic deformation on nanopillars and migrate faster than low-lamin A cells, indicating a greater potential for metastasis. Overexpression of lamin A, however, reduces both the coherency and migration speed, suggesting that subpopulations with similar lamin A levels may have different metastatic potentials. We further verified that nanopillar-generated nuclear deformation patterns can quantitatively reveal individual cells' responses to anti-cancer drug treatment. Overall, we envision that the nanopillar-based assessment of subnuclear irregularities brings new additions to our toolkits for both precise risk stratification in neuroblastoma and the evaluation of related anti-cancer therapeutics.
Source: openalex_inverted_index · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Cellular Mechanics and Interactions · Neuroblastoma Research and Treatments · Signaling Pathways in Disease

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

Affiliations

School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637457, Singapore

Division of Physics and Applied Physics, School of Physical and Mathematical Sciences, Nanyang Technological University, 639798 Singapore, Singapore

The Photonics Institute and Centre for Disruptive Photonic Technologies, Nanyang Technological University, 639798 Singapore, Singapore

Funding

Nanyang Technological University · Ministry of Education - Singapore · National Research Foundation Singapore

References (49)

Show source-provided references
1. London · J. Clin. Oncol. · 2011 · 29 · 328610.1200/JCO.2010.34.3392 ↗
2. Maris · Lancet · 2007 · 369 · 210610.1016/S0140-6736(07)60983-0 ↗
3. Brodeur · J. Clin. Oncol. · 1993 · 11 · 146610.1200/JCO.1993.11.8.1466 ↗
5. Brodeur · Science · 1984 · 224 · 112110.1126/science.6719137 ↗
6. Seeger · N. Engl. J. Med. · 1985 · 313 · 111110.1056/NEJM198510313131802 ↗
7. Look · N. Engl. J. Med. · 1984 · 311 · 23110.1056/NEJM198407263110405 ↗
8. Valentijn · Proc. Natl. Acad. Sci. U. S. A. · 2012 · 109 · 1919010.1073/pnas.1208215109 ↗
9. Pugh · Nat. Genet. · 2013 · 45 · 27910.1038/ng.2529 ↗
10. Ambros · Cancer · 2002 · 94 · 157410.1002/cncr.10359 ↗
11. Zink · Nat. Rev. Cancer · 2004 · 4 · 67710.1038/nrc1430 ↗
12. Bussolati · J. Cell. Mol. Med. · 2008 · 12 · 20910.1111/j.1582-4934.2007.00176.x ↗
13. Chow · Nat. Rev. Cancer · 2012 · 12 · 19610.1038/nrc3219 ↗
14. Batistatou · Int. J. Surg. Pathol. · 2009 · 17 · 10710.1177/1066896908316071 ↗
15. de Las Heras · Adv. Exp. Med. Biol. · 2014 · 773 · 510.1007/978-1-4899-8032-8_1 ↗
16. Gisselsson · Am. J. Pathol. · 2001 · 158 · 19910.1016/S0002-9440(10)63958-2 ↗
17. Xie · Nat. Nanotechnol. · 2012 · 7 · 18510.1038/nnano.2012.8 ↗
18. Tan · Proc. Natl. Acad. Sci. U. S. A. · 2003 · 100 · 148410.1073/pnas.0235407100 ↗
19. Shiu · Nat. Cell Biol. · 2018 · 20 · 26210.1038/s41556-017-0030-y ↗
20. Li · Nano Lett. · 2021 · 21 · 851810.1021/acs.nanolett.1c01934 ↗
21. Na · Nano Lett. · 2013 · 13 · 15310.1021/nl3037068 ↗
22. Chiappini · ACS Nano · 2015 · 9 · 550010.1021/acsnano.5b01490 ↗
23. Teo · Biomaterials · 2011 · 32 · 986610.1016/j.biomaterials.2011.08.088 ↗
24. Kumar · Adv. Mater. · 2021 · 33 · e200742110.1002/adma.202007421 ↗
25. Yin · Nano Lett. · 2021 · 21 · 183910.1021/acs.nanolett.0c04932 ↗
26. Bhingardive · Nano Lett. · 2021 · 21 · 424110.1021/acs.nanolett.1c00245 ↗
27. Zhao · Nat. Nanotechnol. · 2017 · 12 · 75010.1038/nnano.2017.98 ↗
28. Yurugi · J. Cell Sci. · 2020 · 133 · jcs24411110.1242/jcs.244111 ↗
29. Su · iScience · 2020 · 23 · 10171210.1016/j.isci.2020.101712 ↗
30. Lou · Acc. Chem. Res. · 2018 · 51 · 104610.1021/acs.accounts.7b00594 ↗
31. Liang · Life Sci. Alliance · 2019 · 2 · e20190034310.26508/lsa.201900343 ↗
32. Lou · Proc. Natl. Acad. Sci. U. S. A. · 2019 · 116 · 2314310.1073/pnas.1910166116 ↗
33. Hanson · Nat. Nanotechnol. · 2015 · 10 · 55410.1038/nnano.2015.88 ↗
34. Hansel · ACS Nano · 2019 · 13 · 291310.1021/acsnano.8b06998 ↗
35. Y.Zeng , Y.Zhuang , A.Mitra , P.Chen , I.Saggio , G. V.Shivashankar and W.Gao , 2022 , bioRxiv , 10.1101/2022.01.30.47816810.1101/2022.01.30.478168 ↗
36. Maresca · PLoS One · 2012 · 7 · e4551310.1371/journal.pone.0045513 ↗
37. Lammerding · J. Clin. Invest. · 2004 · 113 · 37010.1172/JCI200419670 ↗
38. Davidson · Trends Cell Biol. · 2014 · 24 · 24710.1016/j.tcb.2013.11.004 ↗
39. Lammerding · J. Biol. Chem. · 2006 · 281 · 2576810.1074/jbc.M513511200 ↗
40. Pajerowski · Proc. Natl. Acad. Sci. U. S. A. · 2007 · 104 · 1561910.1073/pnas.0702576104 ↗
41. Constantinescu · Stem Cells · 2006 · 24 · 17710.1634/stemcells.2004-0159 ↗
42. Vergnes · Proc. Natl. Acad. Sci. U. S. A. · 2004 · 101 · 1042810.1073/pnas.0401424101 ↗
43. Fonck · Stroke · 2009 · 40 · 255210.1161/STROKEAHA.108.528091 ↗
44. Schindelin · Nat. Methods · 2012 · 9 · 67610.1038/nmeth.2019 ↗
45. Rauschert · PLoS One · 2017 · 12 · e017595310.1371/journal.pone.0175953 ↗
46. Brabletz · Nat. Rev. Cancer · 2018 · 18 · 12810.1038/nrc.2017.118 ↗
47. Patteson · J. Cell Biol. · 2019 · 218 · 407910.1083/jcb.201902046 ↗
48. Ladenstein · Lancet Oncol. · 2017 · 18 · 50010.1016/S1470-2045(17)30070-0 ↗
49. Bian · J. Biol. Chem. · 2001 · 276 · 4892110.1074/jbc.M108674200 ↗