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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT-ND2 is not prognostic in Skin Cuteneous Melanoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
3-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
3-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
8542.2
Number of samples
99
Samples
Sample
Description
pTPM
TCGA-DA-A960-01A
73 years, male, white, stage:Stage IIB, alive, 804 days
43557.0
TCGA-FW-A5DX-01A
71 years, male, white, stage:Stage IIIC, alive, 640 days
28766.2
TCGA-D3-A5GT-01A
43 years, male, white, stage:Stage IIIC, alive, 487 days
27185.3
TCGA-GN-A263-01A
24 years, male, white, stage:Stage IV, dead, 467 days
24446.7
TCGA-EB-A553-01A
62 years, male, white, stage:Stage IIC, alive, 226 days
22488.7
TCGA-EB-A4OY-01A
65 years, female, white, stage:Stage IIIB, alive, 977 days
22166.0
TCGA-EB-A551-01A
78 years, female, white, stage:Stage IIIC, alive, 590 days
19944.6
TCGA-BF-AAP8-01A
58 years, male, white, stage:Stage IIC, alive, 447 days
19736.5
TCGA-FR-A728-01A
54 years, female, white, stage:Stage IIIB, alive, 583 days
19136.9
TCGA-EB-A4OZ-01A
41 years, female, white, stage:Stage IIIC, alive, 620 days
18948.5
TCGA-BF-A5EQ-01A
63 years, male, white, stage:Stage IIC, alive, 323 days
17662.9
TCGA-XV-AAZY-01A
76 years, female, white, stage:Stage IIIC, alive, 405 days
16570.9
TCGA-EB-A85I-01A
66 years, male, white, stage:Stage IIC, alive, 362 days
14910.5
TCGA-D9-A4Z3-01A
73 years, female, white, stage:Stage IIIC, alive, 505 days
13839.8
TCGA-EB-A57M-01A
56 years, male, asian, stage:Stage IIIB, dead, 472 days
13280.6
TCGA-D9-A4Z5-01A
68 years, male, white, stage:Stage IIB, alive, 218 days
13183.9
TCGA-BF-A3DL-01A
84 years, female, white, stage:Stage IIIB, alive, 769 days
12727.6
TCGA-BF-A9VF-01A
77 years, male, white, stage:Stage IIC, alive, 440 days
12435.5
TCGA-EB-A24D-01A
72 years, male, white, stage:Stage IIIB, alive, 645 days
11357.4
TCGA-EB-A5FP-01A
65 years, female, white, stage:Stage IV, dead, 454 days
11163.9
TCGA-BF-A5EP-01A
75 years, female, white, stage:Stage IIIC, alive, 335 days
11162.7
TCGA-ER-A194-01A
77 years, male, white, stage:'--, dead, 1354 days
11102.4
TCGA-XV-AAZW-01A
62 years, female, white, stage:Stage II, dead, 393 days
10868.9
TCGA-BF-AAP4-01A
61 years, male, white, stage:Stage IIC, alive, 335 days
10423.9
TCGA-EB-A6QZ-01A
76 years, female, white, stage:Stage IIA, dead, 352 days
10212.8
TCGA-BF-AAOU-01A
73 years, female, white, stage:Stage IIC, alive, 476 days
9812.8
TCGA-EB-A82B-01A
58 years, female, asian, stage:Stage III, alive, 390 days
9669.0
TCGA-EB-A3XB-01A
63 years, male, white, stage:Stage II, alive, 796 days
9513.3
TCGA-ER-A19K-01A
79 years, female, white, stage:Stage IIC, dead, 469 days
9236.7
TCGA-GN-A4U5-01A
61 years, female, white, stage:Stage IB, alive, 1156 days
9203.1
TCGA-EB-A431-01A
34 years, male, white, stage:Stage IIC, alive, 568 days
8635.6
TCGA-BF-A5ER-01A
63 years, male, white, stage:Stage IIC, alive, 327 days
8105.5
TCGA-BF-AAOX-01A
83 years, male, white, stage:Stage IIC, alive, 444 days
8084.9
TCGA-EB-A3XD-01A
53 years, female, white, stage:Stage IIC, alive, 1160 days
7987.4
TCGA-ER-A2NF-01A
53 years, male, white, stage:Stage IIIB, dead, 877 days
7976.6
TCGA-ER-A2NB-01A
57 years, male, white, stage:Stage IIIB, dead, 857 days
7882.7
TCGA-BF-A1PX-01A
56 years, male, white, stage:Stage IIIB, dead, 282 days
7842.6
TCGA-BF-AAP6-01A
55 years, male, white, stage:Stage III, alive, 325 days
7723.3
TCGA-EB-A3Y6-01A
56 years, female, white, stage:Stage IIC, alive, 126 days
7684.8
TCGA-YG-AA3N-01A
67 years, male, stage:Stage IIC, alive, 306 days
7316.9
TCGA-IH-A3EA-01A
61 years, male, white, stage:Stage IIC, alive, 524 days
7313.8
TCGA-EB-A299-01A
63 years, male, white, stage:Stage IIA, alive, 378 days
7212.6
TCGA-GF-A2C7-01A
48 years, male, white, stage:Stage IIC, alive, 21 days
7113.2
TCGA-BF-A5ES-01A
76 years, female, white, stage:Stage IIC, alive, 490 days
7098.8
TCGA-BF-A1PZ-01A
71 years, female, white, stage:Stage IIB, alive, 853 days
6888.7
TCGA-EB-A5UM-01A
48 years, female, white, stage:Stage IIC, alive, 779 days
6845.8
TCGA-XV-A9W5-01A
51 years, male, white, stage:Not Reported, alive, 392 days
6813.3
TCGA-EB-A1NK-01A
48 years, male, white, stage:Stage IIC, alive, 1039 days
6636.6
TCGA-EB-A44P-01A
58 years, female, white, stage:Stage IIC, alive, 741 days
6497.8
TCGA-EB-A4IQ-01A
42 years, female, asian, stage:Stage IIIB, dead, 636 days
6348.1
TCGA-EB-A4XL-01A
56 years, female, white, stage:Stage IIC, alive, 777 days
6240.5
TCGA-D9-A3Z4-01A
54 years, male, white, stage:Stage IIIC, dead, 519 days
6183.6
TCGA-ER-A19T-01A
51 years, male, white, stage:Stage IV, dead, 270 days
6140.6
TCGA-EB-A6QY-01A
71 years, male, white, stage:Stage IIC, alive, 382 days
6132.4
TCGA-D9-A4Z2-01A
50 years, male, white, stage:Stage IIIC, dead, 190 days
6122.8
TCGA-EB-A3XE-01A
77 years, female, white, stage:Stage IIA, alive, 180 days
6011.6
TCGA-EB-A4IS-01A
77 years, male, white, stage:Stage IIB, alive, 774 days
5950.5
TCGA-EB-A6R0-01A
58 years, female, white, stage:Stage IIC, dead, 608 days
5869.3
TCGA-GN-A8LN-01A
68 years, male, white, stage:Stage IIC, alive, 772 days
5709.0
TCGA-GF-A769-01A
39 years, male, white, stage:Stage IIC, dead, 1070 days
5667.0
TCGA-XV-A9W2-01A
81 years, male, white, stage:Stage I, alive, 417 days
5570.8
TCGA-EB-A3Y7-01A
86 years, female, white, stage:Stage IIIB, dead, 326 days
5491.2
TCGA-EB-A5SF-01A
78 years, female, white, stage:Stage IIC, dead, 369 days
5482.6
TCGA-EB-A5VU-01A
56 years, male, asian, stage:Stage IIIB, dead, 321 days
5347.1
TCGA-EB-A42Z-01A
49 years, male, asian, stage:Stage IIIC, alive, 441 days
5082.9
TCGA-EB-A85J-01A
66 years, female, white, stage:Stage IIB, alive, 360 days
5054.3
TCGA-BF-A3DJ-01A
36 years, female, white, stage:Stage IIIB, alive, 464 days
4791.1
TCGA-ER-A42H-01A
76 years, male, white, stage:'--, dead, 426 days
4681.4
TCGA-EB-A4P0-01A
82 years, male, white, stage:Stage IIC, dead, 326 days
4636.1
TCGA-BF-A3DN-01A
81 years, female, white, stage:Stage IIIC, alive, 717 days
4614.1
TCGA-EB-A24C-01A
56 years, male, white, stage:'--, alive, 632 days
4436.0
TCGA-EB-A42Y-01A
73 years, female, asian, stage:Stage IIC, dead, 721 days
4388.6
TCGA-BF-AAP2-01A
62 years, male, white, stage:Stage IIB, alive, 405 days
4305.2
TCGA-BF-A5EO-01A
65 years, male, white, stage:Stage IIC, alive, 703 days
4301.4
TCGA-FS-A1ZN-01A
43 years, male, white, stage:Stage IIIA, dead, 730 days
4276.6
TCGA-EB-A51B-01A
53 years, male, white, stage:Stage IIC, alive, 931 days
4262.4
TCGA-XV-AAZV-01A
56 years, female, white, stage:Stage II, alive, 412 days
4092.0
TCGA-EB-A44O-01A
69 years, male, white, stage:Stage IIB, alive, 81 days
4074.9
TCGA-EB-A41B-01A
76 years, female, white, stage:Stage IIC, alive, 291 days
4015.3
TCGA-BF-AAP1-01A
86 years, male, white, stage:Stage IIC, alive, 409 days
3843.1
TCGA-BF-A1PV-01A
74 years, female, white, stage:Stage IIC, alive, 14 days
3683.7
TCGA-WE-A8K4-01A
85 years, male, white, stage:Stage IIB, alive, 614 days
3662.2
TCGA-EB-A82C-01A
70 years, female, asian, stage:Stage IIC, alive, 17 days
3588.6
TCGA-EB-A97M-01A
66 years, male, white, stage:Stage IIC, alive, 414 days
3558.4
TCGA-BF-AAP7-01A
76 years, female, white, stage:Stage IIC, alive, 318 days
3491.0
TCGA-EB-A3XC-01A
74 years, male, white, stage:Stage IIC, alive, 650 days
3456.6
TCGA-EB-A5SE-01A
73 years, male, white, stage:Stage IIB, dead, 401 days
3403.2
TCGA-ER-A196-01A
64 years, female, white, stage:Stage IIC, alive, 1785 days
3329.8
TCGA-BF-A1PU-01A
46 years, female, white, stage:Stage IIC, alive, 387 days
3074.1
TCGA-EB-A3XF-01A
57 years, male, white, stage:Stage IIC, alive, 278 days
2950.7
TCGA-EB-A44N-01A
59 years, male, white, stage:Stage IIC, dead, 205 days
2780.5
TCGA-EB-A550-01A
75 years, female, white, stage:Stage IIC, dead, 264 days
2667.6
TCGA-GN-A26C-01A
77 years, male, white, stage:Stage IIIC, dead, 821 days
2549.2
TCGA-FR-A3R1-01A
69 years, male, white, stage:Stage IIC, alive, 685 days
2320.8
TCGA-EB-A3HV-01A
37 years, male, white, stage:Stage IIC, alive, 39 days
2260.1
TCGA-FR-A2OS-01A
49 years, female, white, stage:Stage IIC, dead, 368 days
2007.2
TCGA-BF-A1Q0-01A
80 years, male, white, stage:Stage IIC, alive, 831 days
1969.8
TCGA-BF-A3DM-01A
63 years, male, white, stage:Stage IIA, alive, 601 days
883.9
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MELANOMA - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
