An integrated magneto-electrochemical device for the rapid profiling of tumour extracellular vesicles from blood plasma.
Adolescent
Adult
Aged
Aged, 80 and over
Antibodies, Immobilized
/ chemistry
Area Under Curve
Biomarkers, Tumor
/ blood
Colorectal Neoplasms
/ diagnosis
Disease-Free Survival
Electrochemical Techniques
/ methods
Epithelial Cell Adhesion Molecule
/ blood
Extracellular Vesicles
/ immunology
Female
Humans
Kaplan-Meier Estimate
Longitudinal Studies
Male
Middle Aged
Prognosis
ROC Curve
Recurrence
Young Adult
Journal
Nature biomedical engineering
ISSN: 2157-846X
Titre abrégé: Nat Biomed Eng
Pays: England
ID NLM: 101696896
Informations de publication
Date de publication:
07 2021
07 2021
Historique:
received:
21
11
2019
accepted:
18
05
2021
pubmed:
30
6
2021
medline:
7
9
2021
entrez:
29
6
2021
Statut:
ppublish
Résumé
Assays for cancer diagnosis via the analysis of biomarkers on circulating extracellular vesicles (EVs) typically have lengthy sample workups, limited throughput or insufficient sensitivity, or do not use clinically validated biomarkers. Here we report the development and performance of a 96-well assay that integrates the enrichment of EVs by antibody-coated magnetic beads and the electrochemical detection, in less than one hour of total assay time, of EV-bound proteins after enzymatic amplification. By using the assay with a combination of antibodies for clinically relevant tumour biomarkers (EGFR, EpCAM, CD24 and GPA33) of colorectal cancer (CRC), we classified plasma samples from 102 patients with CRC and 40 non-CRC controls with accuracies of more than 96%, prospectively assessed a cohort of 90 patients, for whom the burden of tumour EVs was predictive of five-year disease-free survival, and longitudinally analysed plasma from 11 patients, for whom the EV burden declined after surgery and increased on relapse. Rapid assays for the detection of combinations of tumour biomarkers in plasma EVs may aid cancer detection and patient monitoring.
Identifiants
pubmed: 34183802
doi: 10.1038/s41551-021-00752-7
pii: 10.1038/s41551-021-00752-7
pmc: PMC8437135
mid: NIHMS1706321
doi:
Substances chimiques
Antibodies, Immobilized
0
Biomarkers, Tumor
0
EPCAM protein, human
0
Epithelial Cell Adhesion Molecule
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
678-689Subventions
Organisme : NCATS NIH HHS
ID : UH3 TR000931
Pays : United States
Organisme : NCI NIH HHS
ID : P01 CA069246
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA229777
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA237500
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA239078
Pays : United States
Organisme : NCI NIH HHS
ID : R21 CA205322
Pays : United States
Organisme : NCATS NIH HHS
ID : UH2 TR000931
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA230697
Pays : United States
Organisme : NIDA NIH HHS
ID : R21 DA049577
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA204019
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL113156
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA233360
Pays : United States
Informations de copyright
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.
Références
Heitzer, E., Haque, I. S., Roberts, C. E. S. & Speicher, M. R. Current and future perspectives of liquid biopsies in genomics-driven oncology. Nat. Rev. Genet. 20, 77–88 (2018).
Siravegna, G., Marsoni, S., Siena, S. & Bardelli, A. Integrating liquid biopsies into the management of cancer. Nat. Rev. Clin. Oncol. 14, 531–548 (2017).
pubmed: 28252003
doi: 10.1038/nrclinonc.2017.14
Chi, K. R. The tumour trail left in blood. Nature 532, 269–271 (2016).
pubmed: 27075102
doi: 10.1038/532269a
Pantel, K. & Alix-Panabieres, C. Real-time liquid biopsy in cancer patients: fact or fiction? Cancer Res. 73, 6384–6388 (2013).
pubmed: 24145355
doi: 10.1158/0008-5472.CAN-13-2030
Théry, C., Ostrowski, M. & Segura, E. Membrane vesicles as conveyors of immune responses. Nat. Rev. Immunol. 9, 581–593 (2009).
pubmed: 19498381
doi: 10.1038/nri2567
Xu, R. et al. Extracellular vesicles in cancer—implications for future improvements in cancer care. Nat. Rev. Clin. Oncol. 15, 617–638 (2018).
pubmed: 29795272
doi: 10.1038/s41571-018-0036-9
Shao, H. et al. Protein typing of circulating microvesicles allows real-time monitoring of glioblastoma therapy. Nat. Med. 18, 1835–1840 (2012).
pubmed: 23142818
pmcid: 3518564
doi: 10.1038/nm.2994
Choi, D., Spinelli, C., Montermini, L. & Rak, J. Oncogenic regulation of extracellular vesicle proteome and heterogeneity. Proteomics 19, 1800169 (2019).
doi: 10.1002/pmic.201800169
Skog, J. et al. Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers. Nat. Cell Biol. 10, 1470–1476 (2008).
pubmed: 19011622
pmcid: 3423894
doi: 10.1038/ncb1800
Shao, H. et al. Chip-based analysis of exosomal mRNA mediating drug resistance in glioblastoma. Nat. Commun. 6, 6999 (2015).
pubmed: 25959588
doi: 10.1038/ncomms7999
Yoshioka, Y. et al. Ultra-sensitive liquid biopsy of circulating extracellular vesicles using ExoScreen. Nat. Commun. 5, 3591 (2014).
pubmed: 24710016
doi: 10.1038/ncomms4591
Skotland, T., Sandvig, K. & Llorente, A. Lipids in exosomes: current knowledge and the way forward. Prog. Lipid Res. 66, 30–41 (2017).
pubmed: 28342835
doi: 10.1016/j.plipres.2017.03.001
EL Andaloussi, S., Mäger, I., Breakefield, X. O. & Wood, M. J. Extracellular vesicles: biology and emerging therapeutic opportunities. Nat. Rev. Drug Discov. 12, 347–357 (2013).
pubmed: 23584393
doi: 10.1038/nrd3978
Im, H. et al. Label-free detection and molecular profiling of exosomes with a nano-plasmonic sensor. Nat. Biotechnol. 32, 490–495 (2014).
pubmed: 24752081
pmcid: 4356947
doi: 10.1038/nbt.2886
Liu, C. et al. Low-cost thermophoretic profiling of extracellular-vesicle surface proteins for the early detection and classification of cancers. Nat. Biomed. Eng. 3, 183–193 (2019).
pubmed: 30948809
doi: 10.1038/s41551-018-0343-6
Jeong, S. et al. Integrated magneto–electrochemical sensor for exosome analysis. ACS Nano 10, 1802–1809 (2016).
pubmed: 26808216
pmcid: 4802494
doi: 10.1021/acsnano.5b07584
Yang, K. S. et al. Multiparametric plasma EV profiling facilitates diagnosis of pancreatic malignancy. Sci. Transl. Med. 9, eaal3226 (2017).
pubmed: 28539469
pmcid: 5846089
doi: 10.1126/scitranslmed.aal3226
Zhang, P. et al. Ultrasensitive detection of circulating exosomes with a 3D-nanopatterned microfluidic chip. Nat. Biomed. Eng. 3, 438–451 (2019).
pubmed: 31123323
pmcid: 6556143
doi: 10.1038/s41551-019-0356-9
Liang, K. et al. Nanoplasmonic quantification of tumour-derived extracellular vesicles in plasma microsamples for diagnosis and treatment monitoring. Nat. Biomed. Eng. 1, 0021 (2017).
pubmed: 28791195
pmcid: 5543996
doi: 10.1038/s41551-016-0021
Lewis, J. M. et al. Integrated analysis of exosomal protein biomarkers on alternating current electrokinetic chips enables rapid detection of pancreatic cancer in patient blood. ACS Nano 12, 3311–3320 (2018).
pubmed: 29570265
doi: 10.1021/acsnano.7b08199
Shao, H. et al. New technologies for analysis of extracellular vesicles. Chem. Rev. 118, 1917–1950 (2018).
pubmed: 29384376
pmcid: 6029891
doi: 10.1021/acs.chemrev.7b00534
Locker, G. Y. et al. ASCO 2006 update of recommendations for the use of tumour markers in gastrointestinal cancer. J. Clin. Oncol. 24, 5313–5327 (2006).
pubmed: 17060676
doi: 10.1200/JCO.2006.08.2644
Tao, S., Hundt, S., Haug, U. & Brenner, H. Sensitivity estimates of blood-based tests for colorectal cancer detection: impact of overrepresentation of advanced stage disease. Am. J. Gastroenterol. 106, 242–253 (2011).
pubmed: 20959816
doi: 10.1038/ajg.2010.393
Park, J. et al. Integrated kidney exosome analysis for the detection of kidney transplant rejection. ACS Nano 11, 11041–11046 (2017).
pubmed: 29053921
pmcid: 6237084
doi: 10.1021/acsnano.7b05083
Fraser, K. et al. Characterization of single microvesicles in plasma from glioblastoma patients. Neuro Oncol. 21, 606–615 (2019).
pubmed: 30561734
doi: 10.1093/neuonc/noy187
Jeppesen, D. K. et al. Reassessment of exosome composition. Cell 177, 428–445 (2019).
pubmed: 30951670
pmcid: 6664447
doi: 10.1016/j.cell.2019.02.029
Lee, K. et al. Multiplexed profiling of single extracellular vesicles. ACS Nano 12, 494–503 (2018).
pubmed: 29286635
pmcid: 5898240
doi: 10.1021/acsnano.7b07060
Ramirez, M. I. et al. Technical challenges of working with extracellular vesicles. Nanoscale 10, 881–906 (2018).
pubmed: 29265147
doi: 10.1039/C7NR08360B
Zhao, L. H. et al. CD44v6 expression in patients with stage II or stage III sporadic colorectal cancer is superior to CD44 expression for predicting progression. Int. J. Clin. Exp. Pathol. 8, 692–701 (2015).
pubmed: 25755763
pmcid: 4348888
Weichert, W. et al. Cytoplasmic CD24 expression in colorectal cancer independently correlates with shortened patient survival. Clin. Cancer Res. 11, 6574–6581 (2005).
pubmed: 16166435
doi: 10.1158/1078-0432.CCR-05-0606
Weichert, W., Knösel, T., Bellach, J., Dietel, M. & Kristiansen, G. ALCAM/CD166 is overexpressed in colorectal carcinoma and correlates with shortened patient survival. J. Clin. Pathol. 57, 1160–1164 (2004).
pubmed: 15509676
pmcid: 1770486
doi: 10.1136/jcp.2004.016238
Lee, C. H. et al. The prognostic role of STEAP1 expression determined via immunohistochemistry staining in predicting prognosis of primary colorectal cancer: a survival analysis. Int. J. Mol. Sci. 17, 592 (2016).
pmcid: 4849046
doi: 10.3390/ijms17040592
Ingebrigtsen, V. A. et al. B7-H3 expression in colorectal cancer: nuclear localization strongly predicts poor outcome in colon cancer. Int. J. Cancer 131, 2528–2536 (2012).
pubmed: 22473715
doi: 10.1002/ijc.27566
Deng, Y. et al. ALDH1 is an independent prognostic factor for patients with stages II-III rectal cancer after receiving radiochemotherapy. Br. J. Cancer 110, 430–434 (2014).
pubmed: 24327017
doi: 10.1038/bjc.2013.767
Ong, C. W. et al. CD133 expression predicts for non-response to chemotherapy in colorectal cancer. Mod. Pathol. 23, 450–457 (2010).
pubmed: 20081809
doi: 10.1038/modpathol.2009.181
Peters, G. J. et al. Induction of thymidylate synthase as a 5-fluorouracil resistance mechanism. Biochim. Biophys. Acta 1587, 194–205 (2002).
pubmed: 12084461
doi: 10.1016/S0925-4439(02)00082-0
Ekblad, L., Kjellström, J. & Johnsson, A. Reduced drug accumulation is more important in acquired resistance against oxaliplatin than against cisplatin in isogenic colon cancer cells. Anticancer Drugs 21, 523–531 (2010).
pubmed: 20168208
doi: 10.1097/CAD.0b013e328337b867
Mouradov, D. et al. Colorectal cancer cell lines are representative models of the main molecular subtypes of primary cancer. Cancer Res. 74, 3238–3247 (2014).
pubmed: 24755471
doi: 10.1158/0008-5472.CAN-14-0013
Skog, J. et al. Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers. Nat. Cell Biol. 10, 1470 (2008).
pubmed: 19011622
pmcid: 3423894
doi: 10.1038/ncb1800
Garinchesa, P. et al. Organ-specific expression of the colon cancer antigen A33, a cell surface target for antibody-based therapy. Int. J. Oncol. 9, 465–471 (1996).
pubmed: 21541536
Zou, K. H., O’Malley, A. J. & Mauri, L. Receiver-operating characteristic analysis for evaluating diagnostic tests and predictive models. Circulation 115, 654–657 (2007).
pubmed: 17283280
doi: 10.1161/CIRCULATIONAHA.105.594929
Liu, J. et al. Down-regulation of GADD45A enhances chemosensitivity in melanoma. Sci. Rep. 8, 4111 (2018).
pubmed: 29515153
pmcid: 5841426
doi: 10.1038/s41598-018-22484-6
Huang, P. et al. Chemotherapy-driven increases in the CDKN1A/PTN/PTPRZ1 axis promote chemoresistance by activating the NF-κB pathway in breast cancer cells. Cell Commun. Signal. 16, 92 (2018).
pubmed: 30497491
pmcid: 6267809
doi: 10.1186/s12964-018-0304-4
Cuadrado, A. et al. Therapeutic targeting of the NRF2 and KEAP1 partnership in chronic diseases. Nat. Rev. Drug Discov. 18, 295–317 (2019).
pubmed: 30610225
doi: 10.1038/s41573-018-0008-x
Derdak, Z. et al. The mitochondrial uncoupling protein-2 promotes chemoresistance in cancer cells. Cancer Res. 68, 2813–2819 (2008).
pubmed: 18413749
pmcid: 2386271
doi: 10.1158/0008-5472.CAN-08-0053
Nicolussi, A., D’Inzeo, S., Capalbo, C., Giannini, G. & Coppa, A. The role of peroxiredoxins in cancer. Mol. Clin. Oncol. 6, 139–153 (2017).
pubmed: 28357082
pmcid: 5351761
doi: 10.3892/mco.2017.1129
Wang, J. & Li, Y. CD36 tango in cancer: signaling pathways and functions. Theranostics 9, 4893–4908 (2019).
pubmed: 31410189
pmcid: 6691380
doi: 10.7150/thno.36037
Romano, G. et al. The TGF-β pathway is activated by 5-fluorouracil treatment in drug resistant colorectal carcinoma cells. Oncotarget 7, 22077–22091 (2016).
pubmed: 26956045
pmcid: 5008345
doi: 10.18632/oncotarget.7895
Wu, J. et al. Heat shock proteins and cancer. Trends Pharmacol. Sci. 38, 226–256 (2017).
pubmed: 28012700
doi: 10.1016/j.tips.2016.11.009
Sharma, A., Upadhyay, A. K. & Bhat, M. K. Inhibition of Hsp27 and Hsp40 potentiates 5-fluorouracil and carboplatin mediated cell killing in hepatoma cells. Cancer Biol. Ther. 8, 2106–2113 (2009).
pubmed: 19901540
doi: 10.4161/cbt.8.22.9687
Shi, Z. et al. Activation of the PERK-ATF4 pathway promotes chemo-resistance in colon cancer cells. Sci. Rep. 9, 3210 (2019).
pubmed: 30824833
pmcid: 6397152
doi: 10.1038/s41598-019-39547-x
Phallen, J. et al. Direct detection of early-stage cancers using circulating tumour DNA. Sci. Transl. Med. 9, eaan2415 (2017).
pubmed: 28814544
pmcid: 6714979
doi: 10.1126/scitranslmed.aan2415
Hothorn, T. & Lausen, B. On the exact distribution of maximally selected rank statistics. Comput. Stat. Data Anal. 43, 121–137 (2003).
doi: 10.1016/S0167-9473(02)00225-6
Duffy, M. J. et al. Clinical utility of biochemical markers in colorectal cancer. Eur. J. Cancer 39, 718–727 (2003).
pubmed: 12651195
doi: 10.1016/S0959-8049(02)00811-0
Das, J. et al. An electrochemical clamp assay for direct, rapid analysis of circulating nucleic acids in serum. Nat. Chem. 7, 569–575 (2015).
pubmed: 26100805
doi: 10.1038/nchem.2270
Thierry, A. R. et al. Clinical validation of the detection of KRAS and BRAF mutations from circulating tumour DNA. Nat. Med. 20, 430–435 (2014).
pubmed: 24658074
doi: 10.1038/nm.3511
Network, C. G. A. Comprehensive molecular characterization of human colon and rectal cancer. Nature 487, 330–337 (2012).
doi: 10.1038/nature11252
Siravegna, G. et al. Clonal evolution and resistance to EGFR blockade in the blood of colorectal cancer patients. Nat. Med. 21, 795–801 (2015).
pubmed: 26030179
pmcid: 4868598
doi: 10.1038/nm.3870
Hoshino, A. et al. Tumour exosome integrins determine organotropic metastasis. Nature 527, 329–335 (2015).
pubmed: 26524530
pmcid: 4788391
doi: 10.1038/nature15756
Peinado, H. et al. Pre-metastatic niches: organ-specific homes for metastases. Nat. Rev. Cancer 17, 302–317 (2017).
pubmed: 28303905
doi: 10.1038/nrc.2017.6
Keklikoglou, I. et al. Chemotherapy elicits pro-metastatic extracellular vesicles in breast cancer models. Nat. Cell Biol. 21, 190–202 (2019).
pubmed: 30598531
doi: 10.1038/s41556-018-0256-3
Syn, N., Wang, L., Sethi, G., Thiery, J. P. & Goh, B. C. Exosome-mediated metastasis: from epithelial-mesenchymal transition to escape fromimmunosurveillance. Trends Pharmacol. Sci. 37, 606–617 (2016).
pubmed: 27157716
doi: 10.1016/j.tips.2016.04.006
Van Deun, J. et al. The impact of disparate isolation methods for extracellular vesicles on downstream RNA profiling. J. Extracell. Vesicles 3, 24858 (2014).
doi: 10.3402/jev.v3.24858
DeLong, E. R., DeLong, D. M. & Clarke-Pearson, D. L. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44, 837–845 (1988).
pubmed: 3203132
doi: 10.2307/2531595
Robin, X. et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC Bioinformatics 12, 77 (2011).
pubmed: 21414208
pmcid: 3068975
doi: 10.1186/1471-2105-12-77
Hothorn, T. & Lausen, B. On the exact distribution of maximally selected rank statistics. Comp. Stat. Data Analysis 43, 121–137 (2003).
doi: 10.1016/S0167-9473(02)00225-6