Colorectal cancer prognostics
A colorectal cancer, prognosis technology, applied in antineoplastic drugs, biochemical devices and methods, drug combinations, etc., can solve problems such as difficult to detect benefits, controversial, low recurrence rate, etc.
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Embodiment 1
[0050] Example 1 Sample Processing and LCM
[0051] Fresh-frozen tissue samples were collected from patients with surgically resected colorectal cancer tumors. The samples used were from 63 patients classified as Duck's B stage according to standard diagnostics and pathology. The clinical outcome of the patients is known. Thirty-six patients were recurrence-free for more than 3 years, while 27 patients experienced tumor recurrence within 3 years.
[0052] Tissues were quickly frozen with liquid nitrogen within 20-30 minutes of harvesting and then stored at -80°C. To enable laser capture, samples were sectioned (6 μm), one mounted on a glass slide and the other mounted on a film (P.A.L.M.) that had been fixed on a glass slide (Micro Slides Colorfrost, VWR Scientific, Media , PA). Slide-mounted sections were fixed in cold acetone and stained with Mayer's hematoxylin (Sigma, St. Louis, MO). Pathologists analyze samples for diagnosis and grading. A clinical grade assess...
Embodiment 2
[0055] Example 2 RNA extraction and amplification
[0056] Total RNA was extracted from LCM-captured samples using a Zymo-Spin Column (Zymo Research, Orange, CA 92867). Approximately 2 ng of total RNA was resuspended in 10 μl of water and subjected to 2 rounds of amplification using T7 RNA polymerase to obtain approximately 50 μg of amplified RNA.
Embodiment 3
[0057] Embodiment 3 DNA microarray hybridization and quantification
[0058] Samples were assayed by a DNA microarray panel consisting of approximately 23,000 human DNA clones using commercially available human U133a from Affymetrix. The total RNA prepared and obtained according to the aforementioned method was used for the chip, and analyzed using Agilent BioAnalyzer referring to the product manual. All 63 samples met quality control criteria and their data were used for marker selection.
[0059] The chip intensity data was analyzed by the software MAS VERSION 5.0 of Fffymetrix Company. Automated analysis identified two genes that could differentiate relapsed from non-relapsed patients.
[0060] The chip intensity data obtained above were used as the input value of commercial automatic clustering software such as PARTEK 5.1. A high recurrence rate cluster of 20 patients (13 relapsed, 7 survivors) was identified using this automated clustering algorithm. From the initial ...
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