Optomicrofluidic detection of cancer cells in peripheral blood <i>via</i> metabolic glycoengineering

Mirkale, K.; Jain, S. K.; Oviya, T. S.; Mahalingam, S.

doi:10.1039/d3lc00678f

Cited by 2 publications

(1 citation statement)

References 51 publications

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“…Early diagnosis of cancer has been an area of high-profile research. Emerging cancer detection technologies based on more accurate biomedical imaging [ 1 – 4 ], DNA mutation [ 5 ], epigenetic abnormality [ 6 , 7 ], or metabolic products [ 8 ] have been developed and evaluated. Of these, DNA methylation aberration of specific genes occurs during the cancerous initiation and multiple progression stages, which has been considered as promising targets for the development of powerful diagnostic, prognostic, and predictive biomarkers [ 9 – 11 ].…”

Section: Introductionmentioning

confidence: 99%

Hypermethylated TAGMe as a universal-cancer-only methylation marker and its application in diagnosis and recurrence monitoring of urothelial carcinoma

Yang,

Chen,

Dong

et al. 2024

J Transl Med

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Background Urothelial carcinoma (UC) is the second most common urological malignancy. Despite numerous molecular markers have been evaluated during the past decades, no urothelial markers for diagnosis and recurrence monitoring have shown consistent clinical utility. Methods The methylation level of tissue samples from public database and clinical collected were analyzed. Patients with UC and benign diseases of the urinary system (BUD) were enrolled to establish TAGMe (TAG of Methylation) assessment in a training cohort (n = 567) using restriction enzyme-based bisulfite-free qPCR. The performance of TAGMe assessment was further verified in the validation cohort (n = 198). Urine samples from 57 UC patients undergoing postoperative surveillance were collected monthly for six months after surgery to assess the TAGMe methylation. Results We identified TAGMe as a potentially novel Universal-Cancer-Only Methylation (UCOM) marker was hypermethylated in multi-type cancers and investigated its application in UC. Restriction enzyme-based bisulfite-free qPCR was used for detection, and the results of which were consistent with gold standard pyrosequencing. Importantly, hypermethylated TAGMe showed excellent sensitivity of 88.9% (95% CI: 81.4–94.1%) and specificity of 90.0% (95% CI: 81.9–95.3%) in efficiently distinguishing UC from BUD patients in urine and also performed well in different clinical scenarios of UC. Moreover, the abnormality of TAGMe as an indicator of recurrence might precede clinical recurrence by three months to one year, which provided an invaluable time window for timely and effective intervention to prevent UC upstaging. Conclusion TAGMe assessment based on a novel single target in urine is effective and easy to perform in UC diagnosis and recurrence monitoring, which may reduce the burden of cystoscopy. Trial registration ChiCTR2100052507. Registered on 30 October 2021

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Section: Introductionmentioning

confidence: 99%

Hypermethylated TAGMe as a universal-cancer-only methylation marker and its application in diagnosis and recurrence monitoring of urothelial carcinoma

Yang,

Chen,

Dong

et al. 2024

J Transl Med

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The effect of microfluidic chip geometry on droplet clustering in a high throughput droplet incubation platform for single-cell analysis

Mirkale,

Chatterjee

2024

Physics of Fluids

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High-throughput droplet incubation is an integral part of various lab-on-chip platforms. Packing droplets efficiently before sending them to the incubation region is essential. For this purpose, different oil extraction mechanisms have been used. Here, we propose one such oil extraction structure and study the effect of channel parameters on droplet clustering, especially the channel height relative to droplet size. Droplets relatively smaller than channel dimensions follow continuous flow dynamics. Hence, simple hydrodynamic resistance modeling flow inside the main and side channels could estimate their flow features. When the droplet diameter exceeds the channel height, its dynamics are observed to be deviating drastically from simple isolated droplet motion and hydrodynamic resistance network model. Though accurate, Eulerian–Lagrangian formulation for modeling two-component fluid flow becomes computationally expensive when dealing with many droplets. Hence, along with hydrodynamics modeling, we adopt a simplified hindrance model to incorporate the effects of modified drag force and emulsion viscosity. This model matches well with experimental results and reduces the design time. Finally, we built an efficient oil extraction and droplet incubation platform for high throughput (200–400 droplets/s) for incubating a large number of cell-encapsulated droplets (7 × 105–8.4 × 105) for a significant amount of time (30–70 min). This study offers insights into droplet dynamics in the oil extraction region, which can be further helpful in building an efficient lab-on-chip platform.

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Optomicrofluidic detection of cancer cells in peripheral blood via metabolic glycoengineering

Abstract: The currently existing label-based techniques for the detection of circulating tumor cells (CTCs) target natural surface proteins of cells and are therefore applicable to only limited cancer cell types. We...

Cited by 2 publications

References 51 publications

Hypermethylated TAGMe as a universal-cancer-only methylation marker and its application in diagnosis and recurrence monitoring of urothelial carcinoma

Hypermethylated TAGMe as a universal-cancer-only methylation marker and its application in diagnosis and recurrence monitoring of urothelial carcinoma

The effect of microfluidic chip geometry on droplet clustering in a high throughput droplet incubation platform for single-cell analysis

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