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The discussion is based on the result that is going to be attached
The result shows 4 graphs
graph 1 is about the comparative between normal and cancerous Haematopoietic in terms of high expression of myc gene
Graph 2 shows high expression of myc between normal and cancerous cell
Graph 3 shows the high level of myc expression in different type of cancer
Graph 4 shows the level of myc in cancerous cell
This study shows myc can be used as caner biomarker/ tumour biomarker but it can be taken from blood serum better than immune cells because Elisa test can not enter the nucleouse
Harvard style
Support the discussion from some article from Pubmed
2000 words
Results:
Data result below is based on the data extracted from: https://gexc.stanford.edu/model/7/gene/MYC.
By using Minitab and applied Mann Whitney Test to compare between the present of myc in normal cell and cancerous cell, it was obtained the result below:
Descriptive Statistics: Normal Cells, Cancer Cells
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3
Normal Cells 11 0 7.787 0.304 1.007 6.030 6.910 7.840 8.410
Cancer Cells 11 0 9.743 0.390 1.294 8.100 8.600 9.480 11.130
Variable Maximum
Normal Cells 9.690
Cancer Cells 11.550
Mann-Whitney Test and CI: Normal Cells, Cancer Cells
N Median
Normal Cells 11 7.840
Cancer Cells 11 9.480
Point estimate for ETA1-ETA2 is -1.860
95.1 Percent CI for ETA1-ETA2 is (-3.050,-0.740)
W = 79.0
Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.0020
Figure 1: shows the different level of myc between normal cell and cancer cell in Haematopoietic
The data below extracted from: http://www.ebi.ac.uk/gxa/query?geneQuery=MYC
Descriptive Statistics: Normal, Cancer
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3 Maximum
Normal 8 0 16.00 3.05 8.62 2.00 11.75 14.50 22.25 31.00
Cancer 8 0 55.75 8.22 23.26 30.00 39.25 45.50 78.25 95.00
Mann-Whitney Test and CI: Normal, Cancer
N Median
Normal 8 14.50
Cancer 8 45.50
Point estimate for ETA1-ETA2 is -32.50
95.9 Percent CI for ETA1-ETA2 is (-65.99,-18.99)
W = 37.0
Test of ETA1 = ETA2 vs ETA1 not = ETA2 is significant at 0.0014
The test is significant at 0.0013 (adjusted for ties)
Figure2: shows the level of myc expression in normal and cancerous cell
The data below extracted from: http://www.genecards.org/cgi-bin/carddisp.pl?gene=MYC&bioalma_dis=91#novoseek_dis
Figure 3: shows the high level for myc expression present in different type of cancer
The data below extracted from: http://biogps.org/#goto=genereport&id=4609
Figure 4: shows the high expression of myc in different type of cancerous cell
Discussion: I need to write the discussion wit
The overall outcome of this study shows that, myc express highly in most of cancer comparing to the normal. From the statistical test (Mann Whitney –Test) the p value is 0.002 which is less than 0.05 and the null hypothesis is rejected. This can show the level of myc oncogene over expressed in cancer is higher than normal subject. Expand the point and use support evidence and examples from scientific article
Write about this point IF myc gene is detected in immune cells could be less strong biomarker but it can be detected from blood serum is a good biomarker because ELISA needs to enter the nucleus.
The discussion is based on the result that is going to be attached
The result shows 4 graphs
graph 1 is about the comparative between normal and cancerous Haematopoietic in terms of high expression of myc gene
Graph 2 shows high expression of myc between normal and cancerous cell
Graph 3 shows the high level of myc expression in different type of cancer
Graph 4 shows the level of myc in cancerous cell
This study shows myc can be used as caner biomarker/ tumour biomarker but it can be taken from blood serum better than immune cells because Elisa test can not enter the nucleouse Support the discussion
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