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Evaluation of SELDI Technology and MATLAB Software to Identify Colorectal Cancer Patients with Tumor Response to FOLFOX4

Author: JiLiNa
Tutor: PeiYi
School: Shanxi Medical
Course: Oncology
Keywords: SELDI MATLAB software FOLFOX4 regimen Colorectal Cancer
CLC: R735.34
Type: Master's thesis
Year: 2011
Downloads: 19
Quote: 1
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Abstract


Objective: To explore the use of MATLAB software SELDI technology combined with FOLFOX4 predict and determine the feasibility of the treatment of colorectal cancer treatment. Methods: The specimens with FOLFOX4 chemotherapy 60 have observable indicators of colorectal cancer patients (38 males, 22 females) in serum, OK SELDI-TOF-MS technology (surface-enhanced laser desorption / ionization time of flight mass spectrometry surface enhanced laser desorption ionization time of flight mass spectrometry) examination, depicting it as a fingerprint analysis. The first phase of work: 12 colorectal cancer patients enrolled, FOLFOX4 regimen after according to Response Evaluation Criteria in Solid Tumors These patients were divided into: a stable group (SD), ineffective group (PD), using ProteinChip 3.2.0 software and Biomarker Wizard 3.1 software to analyze the differences between the two groups of protein fingerprints. Using MATLAB software to draw each differential polynomial curve fitting curve and the curve fitting fingerprint equation, modified definition of fingerprints; second phase: 48 ready to accept with FOLFOX4 chemotherapy for colorectal cancer were enrolled to receive three cycles with FOLFOX4 chemotherapy, chemotherapy before the first stage of a fingerprint based on defined criteria predict efficacy Patients were divided into groups and do not meet compliance fingerprint fingerprint crowd, analysis according to Response Evaluation Criteria in Solid Tumors into SD and PD patients the same quality fingerprint / nuclear ratio (M / Z) protein content (abundance) and the actual effect of the correlation and the efficacy of the fingerprint defining reflect abundance. Results: (1) there are three distinct proteins (M / Z is 2868,1204,4176) group and ineffective in stabilizing groups was statistically significant (p lt; 0.05), baseline drift (drift) ± 50H. Using MATLAB software to draw each differential polynomial curve fitting curve and the curve equation fingerprints showed a linear function. Therefore, M / Z: 2868 ± 50H abundance lowered, M / Z: 1204 ± 50H, 4176 ± 50H increased abundance was positively correlated with improved efficacy, and vice versa. (2) to M / Z: 2868 ± 50H abundance lt; 10 classified as stable group, otherwise classified as ineffective group and stable group fingerprint meet 66.7%, ineffective group fingerprint compliance rate was 71.4%; with M / Z: 1204 ± 50H abundance gt; 10 classified as stable group, otherwise classified as ineffective group and stable group was 74.1%, in line fingerprint, fingerprint invalid group was 81% compliance; with M / Z: 4176 ± 50H Feng degree gt; 40 classified as stable group, otherwise classified as ineffective group and stable group fingerprint coincidence was 70.4%, ineffective group fingerprint compliance rate of 81%. Conclusion: With the aid of protein fingerprinting technology and MATLAB software predicted with FOLFOX4 treatment of colorectal cancer drug resistance is feasible. The SELDI check their fingerprints M / Z: 2868 ± 50H, 1204 ± 50H, 4176 ± 50H to predict with FOLFOX4 treatment of colorectal cancer susceptibility fingerprint identification, the M / Z: 2868 ± 50H abundance lt; 10,1204 ± 50H abundance gt; 10,4176 ± 50H abundance gt; 40 to predict with FOLFOX4 treatment of colorectal cancer to obtain a stable identity fingerprint; their M / Z: 2868 ± 50H abundance ≥ 10,1204 ± 50H abundance ≤ 10 , 4176 ± 50H abundance ≤ 40 for the treatment of colorectal cancer prediction with FOLFOX4 invalid identification fingerprints.

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CLC: > Medicine, health > Oncology > Gastrointestinal Cancer > Intestinal neoplasms > Colorectal tumors
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