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• W4226127145 endingPage "131655" @default.
• W4226127145 startingPage "131655" @default.
• W4226127145 abstract "The ability of cancer to metastasize to distant organs is an urgent problem to be solved clinically and continue to pose a greater challenge to researchers. Current treatments for cancer are ineffective for metastatic cancer due to inability of conventional imaging techniques to detect at early stages. Additionally, the ability to predict the ability of cancer to metastasize in advance will prove to be a valuable tool to improve patient prognosis. However, current techniques of prediction rely on molecular expression profiles which are highly tumor- specific, patient-specific and does not account for tumor heterogeneity. These factors critically impede the ability to use molecular expression profiles for early diagnosis and prediction of cancer metastasis. Hence, there is a need to concentrate on using tumor cells' phenotypic heterogeneity, which can serve as a diagnostic and predictive marker for cancer metastasis. Here, we have identified a rare subpopulation of cells within the tumor, which can signal metastasis initiation, known as metastasis-initiating cells (MICs) which are cancer non-specific, independent of epigenetic makeup, thereby becoming an excellent, unprejudiced marker for cancer metastasis irrespective of cancer type, the tissue of origin, and cancer stage. However, it is challenging to use MICs as a cellular marker for metastasis from a clinical perspective due to their rare, undetectable nature and the lack of sensitive methods to detect this elusive population of cells. To provide the ultra-sensitivity necessary for the early detection and prediction of cancer metastasis using MICs here we have created a self- functionalised nanosensor which is highly SERS active. The self- functionalized nanosensor enabled the detection of MIC using properties of intracellular biological processes and characters of the tumor microenvironment. The nanosensor enabled a detection sensitivity of 98%. It was able to identify MIC in a heterogeneous population of TICs with an unparalleled specificity of 99.62%. Further, the accuracy of MIC as a predictive marker for metastasis in a heterogeneous population of tumor spheroids was found to be 84.6%. This work contributed to the utilization of cancer cell heterogeneity to identify MIC, which can serve as a universal marker for diagnosis, prediction, and prognosis of tumor metastasis. To the best of our knowledge, this study is the first to design a probe that can provide both the diagnostic signature and predictive signature of cancer metastasis as early as the single cellular stage. This approach holds immense potential in the early diagnosis of metastatic tumors in a clinical setting and considerably improve patient prognosis." @default.
• W4226127145 created "2022-05-05" @default.
• W4226127145 creator A5043995576 @default.
• W4226127145 creator A5049306542 @default.
• W4226127145 creator A5063117066 @default.
• W4226127145 date "2022-06-01" @default.
• W4226127145 modified "2023-10-17" @default.
• W4226127145 title "Early detection and prediction of cancer metastasis – Unravelling metastasis initiating cell as a dynamic marker using self- functionalized nanosensors" @default.
• W4226127145 cites W1208253441 @default.
• W4226127145 cites W1784933168 @default.
• W4226127145 cites W1934935983 @default.
• W4226127145 cites W1963638325 @default.
• W4226127145 cites W1983050089 @default.
• W4226127145 cites W1987354490 @default.
• W4226127145 cites W1988246914 @default.
• W4226127145 cites W1989012283 @default.
• W4226127145 cites W1994599132 @default.
• W4226127145 cites W2002013266 @default.
• W4226127145 cites W2002579647 @default.
• W4226127145 cites W2003938487 @default.
• W4226127145 cites W2009663080 @default.
• W4226127145 cites W2013549217 @default.
• W4226127145 cites W2016360721 @default.
• W4226127145 cites W2025786070 @default.
• W4226127145 cites W2028554313 @default.
• W4226127145 cites W2033148943 @default.
• W4226127145 cites W2037602215 @default.
• W4226127145 cites W2044066240 @default.
• W4226127145 cites W2049528074 @default.
• W4226127145 cites W2050160863 @default.
• W4226127145 cites W2053864344 @default.
• W4226127145 cites W2055758299 @default.
• W4226127145 cites W2066362124 @default.
• W4226127145 cites W2067632356 @default.
• W4226127145 cites W2069064270 @default.
• W4226127145 cites W2071044837 @default.
• W4226127145 cites W2074969949 @default.
• W4226127145 cites W2081221904 @default.
• W4226127145 cites W2084210172 @default.
• W4226127145 cites W2093198338 @default.
• W4226127145 cites W2099797262 @default.
• W4226127145 cites W2112515853 @default.
• W4226127145 cites W2114906733 @default.
• W4226127145 cites W2134188586 @default.
• W4226127145 cites W2136334331 @default.
• W4226127145 cites W2142106789 @default.
• W4226127145 cites W2143707736 @default.
• W4226127145 cites W2145172647 @default.
• W4226127145 cites W2147091956 @default.
• W4226127145 cites W2149747710 @default.
• W4226127145 cites W2155750024 @default.
• W4226127145 cites W2157552934 @default.
• W4226127145 cites W2219883040 @default.
• W4226127145 cites W2232234739 @default.
• W4226127145 cites W2255578273 @default.
• W4226127145 cites W2256636198 @default.
• W4226127145 cites W2264564420 @default.
• W4226127145 cites W2341044585 @default.
• W4226127145 cites W2396724443 @default.
• W4226127145 cites W2435667967 @default.
• W4226127145 cites W2440692448 @default.
• W4226127145 cites W2510900394 @default.
• W4226127145 cites W2563716662 @default.
• W4226127145 cites W2586020508 @default.
• W4226127145 cites W2606487236 @default.
• W4226127145 cites W2609505052 @default.
• W4226127145 cites W2609789137 @default.
• W4226127145 cites W2619214006 @default.
• W4226127145 cites W2747090136 @default.
• W4226127145 cites W2762246063 @default.
• W4226127145 cites W2765240695 @default.
• W4226127145 cites W2765792772 @default.
• W4226127145 cites W2772296107 @default.
• W4226127145 cites W2773620121 @default.
• W4226127145 cites W2791496571 @default.
• W4226127145 cites W2801422021 @default.
• W4226127145 cites W2897243059 @default.
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• W4226127145 cites W2907897113 @default.
• W4226127145 cites W2916004742 @default.
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• W4226127145 cites W2967213355 @default.
• W4226127145 cites W2968001213 @default.
• W4226127145 cites W2994206787 @default.
• W4226127145 cites W2995048103 @default.
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• W4226127145 doi "https://doi.org/10.1016/j.snb.2022.131655" @default.
• W4226127145 hasPublicationYear "2022" @default.
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