- Preprint Article
- 10.32920/31014733
Tumor-Associated Natural Killer Cells and Ultrasensitive Nano Biosensors for Minimally Invasive Cancer Diagnosis
- Jan 06, 2026
- Deeptha Ishwar
<p dir="ltr">Accurate and timely cancer detection remains a persistent challenge. This dissertation, titled "Tumor-Associated Natural Killer Cells and Ultrasensitive Nano Biosensors for Minimally Invasive Cancer Diagnosis," explores Natural Killer (NK) cells in blood as a potential platform for blood-based cancer detection. NK cells are a crucial component of the immune system, serving as the first line of defence against cancer. As NK cells can discriminate between cancerous cells and other healthy cells, their diagnostic value is significant. However, detecting these rare tumor associated NK cells is challenging. An ultrasensitive Nano Biosensor was hence developed utilizing surface-enhanced Raman spectroscopy (SERS) as the detection methodology. The nano sensor achieved single-cell sensitivity and can detect analytes at femtomolar levels. Machine learning algorithms analysed signals from tumor-associated NK cells and detected metabolic changes upon tumor interactions.</p><p dir="ltr">The thesis comprises five research projects focusing on different NK cell components (cells, exosomes, DNA) for detecting various cancers. The first paper differentiates lung, breast, and colon cancer from healthy cells based on spectral changes. Building on this success, the second project detects metastasis by identifying tumor-specific and metastasis-specific signals exhibited by NK cells. The third paper explores the potential of NK exosomes in identifying brain cancer, showing that NK exosomes can serve as non-invasive biomarkers for brain cancer diagnosis. The fourth paper utilizes NK cell DNA as a biomarker for colon cancer by analyzing specific genetic alterations. The fifth paper proposes a combined approach using NK and T cells to identify breast cancer. Although these projects cover diverse topics, they are united by a common idea of detecting informative metabolic features of NK cells and identifying the spectral changes upon tumor interaction.</p><p dir="ltr">The potential applications of this technology are extensive. The proposed method is non invasive and leverages the body's natural intelligence to detect cancer, opening new directions in liquid biopsy-based cancer diagnostics. This technology has the potential to aid in identifying individuals likely to benefit from specific medications, enabling patient stratification for clinical trials and facilitating therapeutic response monitoring through blood tests.</p><p dir="ltr"><br></p>
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