Abstract:
Pancreatic cancer shows high mortality rate with poor prognosis and is expected to be the major cause of cancer deaths by 2030. Due to its aggressive nature for growth and progression, it usually goes unnoticed at an early stage due to lack of symptoms and by the time diagnosis are performed the disease has reached to its advanced stage. Current promising approach for the early diagnosis is the nano-based biosensors enable to detect exosomes in the patient. The traditional method for characterization of exosomes are qRT-PCR and ELISA but there are limiting factors such as requires large sample volume, less sensitive, expensive and tedious. Therefore, these methods can be replaced by involving the nano- based biosensors which have high sensitivity, specificity, low sample volume, efficient, high throughput and cheaper for detection of various exosomal biomarkers. The test can detect cancerous exosomes using a nano-biosensor which can be detected at an early stage of pancreatic cancer. This test can be detected in all stages of cancer which can be characterized by cancer exosomes and results in high sensitivity from the nano- biosensor. The expression levels of cancerous exosomes are easier to distinguish between cancer and healthy patients which seems quite tedious with ELISA or Nanoflow. The electronic read-out system makes the test easy and simple for the users without any medical personnel assistance. The nano- biosensor can detect multiple biomarkers for pancreatic cancer on a single chip which allows being helpful in diagnostic purposes. Therefore, this method can be aimed to be applied at large scale which can be cost-effective and requires minimal instrumentation with high specificity and sensitivity.
Keywords: pancreatic cancer; exosomes; nano biosensors, diagnosis
Audience Take Away Notes:
- The audience will be able to understand how they could improve their research by integrating the use of nano-biosensors to enhance the detection of various biomarkers with high efficiency.
- They can use this method at a small scale first and when the output is good they can think to move on to large scale to minimize time and improve the diagnosis.
- Definitely, it can involve group of researchers in chemical, biological and engineering department to work together for the development of biosensors.
- Yes, this method will be very helpful in the clinics to overcome conventional diagnostic challenges.
