I attended the meeting called “Prostate Cancer
Working Group Meeting”. In the meeting, many doctors from various departments conducting
research on prostate cancer attended and discussed ongoing research. For this
week meeting, they presented their project for grant application, and after
each presentation was done, questions and comments were discussed within the
group. There are 5 project candidates, and from 5 projects, two projects really
impressed me. The first one was to generate antibody, 98Zr-antibody,
for bioimaging of prostate gland. The motivation of this project was predicated
on the reason that biopsy from TRUS or MRI normally give false negative result
because the way that we collects specimen for further analysis is randomly
selected from tissue. Consequently, the researchers would like to generate 98Zr-antibody
to navigate the location for collecting sample. The reason I like this project
is because it is pragmatic research and if it succeeds, it will be
transformative not only in US but also other parts of the world. The second
project in which I am interested is about the use of novel radiation therapy to
eliminate prostate cancer with minimally damaging normal tissue. They mentioned
that they can use high dose of radiation but less harmful by resting on the
concept that prostate cancer has low alpha/beta coefficient when compared to
other cancers. Interestingly, they invented mathematic model to calculate
probability of damaging surrounding tissues. In addition to the meeting, I was assigned to collect prostate sample that was removed after robotic prostatectomy. For this responsibility, I had to divide the removed sample into 3 parts, which are prostate gland, lymp node, and fat tissue, and sent them to pathology lab to determine what type of cancer is and where the location of cancer is. In the event that cancer is found in lymph node, radiation therapy should be a further step after surgery. Apart from the meeting and my duty in Dr. Tewari's lab, I
spent most of my time doing research project to analyze collected data in hope that it will be finished
within next week.
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