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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 TPM
7147.6
Number of samples
99
Samples
Sample
Description
TPM
TCGA-DA-A960-01A
73 years, male, white, stage:Stage IIB, alive, 804 days
39309.7
TCGA-FW-A5DX-01A
71 years, male, white, stage:Stage IIIC, alive, 640 days
24358.7
TCGA-D3-A5GT-01A
43 years, male, white, stage:Stage IIIC, alive, 487 days
24329.8
TCGA-GN-A263-01A
24 years, male, white, stage:Stage IV, dead, 467 days
20474.3
TCGA-EB-A4OY-01A
65 years, female, white, stage:Stage IIIB, alive, 977 days
19458.7
TCGA-EB-A553-01A
62 years, male, white, stage:Stage IIC, alive, 226 days
18519.9
TCGA-EB-A551-01A
78 years, female, white, stage:Stage IIIC, alive, 590 days
16903.8
TCGA-FR-A728-01A
54 years, female, white, stage:Stage IIIB, alive, 583 days
16651.8
TCGA-EB-A4OZ-01A
41 years, female, white, stage:Stage IIIC, alive, 620 days
15997.2
TCGA-BF-AAP8-01A
58 years, male, white, stage:Stage IIC, alive, 447 days
15900.7
TCGA-BF-A5EQ-01A
63 years, male, white, stage:Stage IIC, alive, 323 days
15252.4
TCGA-XV-AAZY-01A
76 years, female, white, stage:Stage IIIC, alive, 405 days
14286.2
TCGA-EB-A85I-01A
66 years, male, white, stage:Stage IIC, alive, 362 days
12727.6
TCGA-D9-A4Z3-01A
73 years, female, white, stage:Stage IIIC, alive, 505 days
11491.2
TCGA-EB-A57M-01A
56 years, male, asian, stage:Stage IIIB, dead, 472 days
11425.3
TCGA-D9-A4Z5-01A
68 years, male, white, stage:Stage IIB, alive, 218 days
11421.7
TCGA-BF-A3DL-01A
84 years, female, white, stage:Stage IIIB, alive, 769 days
11212.1
TCGA-BF-A9VF-01A
77 years, male, white, stage:Stage IIC, alive, 440 days
10656.4
TCGA-BF-A5EP-01A
75 years, female, white, stage:Stage IIIC, alive, 335 days
9678.3
TCGA-EB-A5FP-01A
65 years, female, white, stage:Stage IV, dead, 454 days
9605.4
TCGA-EB-A24D-01A
72 years, male, white, stage:Stage IIIB, alive, 645 days
9577.5
TCGA-XV-AAZW-01A
62 years, female, white, stage:Stage II, dead, 393 days
9161.7
TCGA-BF-AAP4-01A
61 years, male, white, stage:Stage IIC, alive, 335 days
8782.2
TCGA-EB-A6QZ-01A
76 years, female, white, stage:Stage IIA, dead, 352 days
8714.7
TCGA-BF-AAOU-01A
73 years, female, white, stage:Stage IIC, alive, 476 days
8349.9
TCGA-ER-A194-01A
77 years, male, white, stage:'--, dead, 1354 days
8162.7
TCGA-EB-A82B-01A
58 years, female, asian, stage:Stage III, alive, 390 days
8057.6
TCGA-EB-A3XB-01A
63 years, male, white, stage:Stage II, alive, 796 days
8055.8
TCGA-ER-A19K-01A
79 years, female, white, stage:Stage IIC, dead, 469 days
7851.5
TCGA-GN-A4U5-01A
61 years, female, white, stage:Stage IB, alive, 1156 days
7689.0
TCGA-EB-A431-01A
34 years, male, white, stage:Stage IIC, alive, 568 days
7332.8
TCGA-ER-A2NB-01A
57 years, male, white, stage:Stage IIIB, dead, 857 days
7053.8
TCGA-BF-AAOX-01A
83 years, male, white, stage:Stage IIC, alive, 444 days
6993.8
TCGA-EB-A3XD-01A
53 years, female, white, stage:Stage IIC, alive, 1160 days
6812.7
TCGA-ER-A2NF-01A
53 years, male, white, stage:Stage IIIB, dead, 877 days
6718.8
TCGA-BF-A1PX-01A
56 years, male, white, stage:Stage IIIB, dead, 282 days
6651.0
TCGA-BF-AAP6-01A
55 years, male, white, stage:Stage III, alive, 325 days
6399.8
TCGA-BF-A5ER-01A
63 years, male, white, stage:Stage IIC, alive, 327 days
6349.0
TCGA-IH-A3EA-01A
61 years, male, white, stage:Stage IIC, alive, 524 days
6141.1
TCGA-GF-A2C7-01A
48 years, male, white, stage:Stage IIC, alive, 21 days
6076.0
TCGA-EB-A299-01A
63 years, male, white, stage:Stage IIA, alive, 378 days
6021.2
TCGA-BF-A1PZ-01A
71 years, female, white, stage:Stage IIB, alive, 853 days
5950.7
TCGA-BF-A5ES-01A
76 years, female, white, stage:Stage IIC, alive, 490 days
5905.9
TCGA-XV-A9W5-01A
51 years, male, white, stage:Not Reported, alive, 392 days
5779.9
TCGA-EB-A1NK-01A
48 years, male, white, stage:Stage IIC, alive, 1039 days
5778.3
TCGA-EB-A5UM-01A
48 years, female, white, stage:Stage IIC, alive, 779 days
5704.2
TCGA-EB-A3Y6-01A
56 years, female, white, stage:Stage IIC, alive, 126 days
5567.5
TCGA-EB-A4IQ-01A
42 years, female, asian, stage:Stage IIIB, dead, 636 days
5485.1
TCGA-EB-A44P-01A
58 years, female, white, stage:Stage IIC, alive, 741 days
5353.1
TCGA-YG-AA3N-01A
67 years, male, stage:Stage IIC, alive, 306 days
5243.9
TCGA-EB-A4XL-01A
56 years, female, white, stage:Stage IIC, alive, 777 days
5233.7
TCGA-EB-A3XE-01A
77 years, female, white, stage:Stage IIA, alive, 180 days
5103.2
TCGA-EB-A4IS-01A
77 years, male, white, stage:Stage IIB, alive, 774 days
4859.4
TCGA-EB-A6R0-01A
58 years, female, white, stage:Stage IIC, dead, 608 days
4796.4
TCGA-ER-A19T-01A
51 years, male, white, stage:Stage IV, dead, 270 days
4711.9
TCGA-EB-A6QY-01A
71 years, male, white, stage:Stage IIC, alive, 382 days
4678.3
TCGA-EB-A5SF-01A
78 years, female, white, stage:Stage IIC, dead, 369 days
4613.3
TCGA-D9-A4Z2-01A
50 years, male, white, stage:Stage IIIC, dead, 190 days
4557.9
TCGA-EB-A5VU-01A
56 years, male, asian, stage:Stage IIIB, dead, 321 days
4484.7
TCGA-D9-A3Z4-01A
54 years, male, white, stage:Stage IIIC, dead, 519 days
4429.7
TCGA-XV-A9W2-01A
81 years, male, white, stage:Stage I, alive, 417 days
4290.0
TCGA-GF-A769-01A
39 years, male, white, stage:Stage IIC, dead, 1070 days
4247.8
TCGA-EB-A3Y7-01A
86 years, female, white, stage:Stage IIIB, dead, 326 days
4230.3
TCGA-GN-A8LN-01A
68 years, male, white, stage:Stage IIC, alive, 772 days
4141.3
TCGA-EB-A85J-01A
66 years, female, white, stage:Stage IIB, alive, 360 days
4109.4
TCGA-BF-A3DJ-01A
36 years, female, white, stage:Stage IIIB, alive, 464 days
3982.9
TCGA-BF-A3DN-01A
81 years, female, white, stage:Stage IIIC, alive, 717 days
3899.4
TCGA-EB-A42Z-01A
49 years, male, asian, stage:Stage IIIC, alive, 441 days
3887.2
TCGA-ER-A42H-01A
76 years, male, white, stage:'--, dead, 426 days
3720.5
TCGA-EB-A4P0-01A
82 years, male, white, stage:Stage IIC, dead, 326 days
3697.4
TCGA-BF-A5EO-01A
65 years, male, white, stage:Stage IIC, alive, 703 days
3691.4
TCGA-EB-A42Y-01A
73 years, female, asian, stage:Stage IIC, dead, 721 days
3659.6
TCGA-FS-A1ZN-01A
43 years, male, white, stage:Stage IIIA, dead, 730 days
3634.6
TCGA-XV-AAZV-01A
56 years, female, white, stage:Stage II, alive, 412 days
3499.7
TCGA-EB-A51B-01A
53 years, male, white, stage:Stage IIC, alive, 931 days
3484.0
TCGA-EB-A24C-01A
56 years, male, white, stage:'--, alive, 632 days
3477.6
TCGA-EB-A44O-01A
69 years, male, white, stage:Stage IIB, alive, 81 days
3409.6
TCGA-EB-A41B-01A
76 years, female, white, stage:Stage IIC, alive, 291 days
3296.6
TCGA-BF-AAP2-01A
62 years, male, white, stage:Stage IIB, alive, 405 days
3193.8
TCGA-BF-AAP1-01A
86 years, male, white, stage:Stage IIC, alive, 409 days
3149.5
TCGA-BF-A1PV-01A
74 years, female, white, stage:Stage IIC, alive, 14 days
3119.8
TCGA-EB-A82C-01A
70 years, female, asian, stage:Stage IIC, alive, 17 days
3018.6
TCGA-EB-A3XC-01A
74 years, male, white, stage:Stage IIC, alive, 650 days
2893.2
TCGA-ER-A196-01A
64 years, female, white, stage:Stage IIC, alive, 1785 days
2873.3
TCGA-EB-A5SE-01A
73 years, male, white, stage:Stage IIB, dead, 401 days
2854.9
TCGA-EB-A97M-01A
66 years, male, white, stage:Stage IIC, alive, 414 days
2649.6
TCGA-WE-A8K4-01A
85 years, male, white, stage:Stage IIB, alive, 614 days
2546.2
TCGA-BF-AAP7-01A
76 years, female, white, stage:Stage IIC, alive, 318 days
2541.3
TCGA-EB-A3XF-01A
57 years, male, white, stage:Stage IIC, alive, 278 days
2478.3
TCGA-BF-A1PU-01A
46 years, female, white, stage:Stage IIC, alive, 387 days
2452.9
TCGA-EB-A550-01A
75 years, female, white, stage:Stage IIC, dead, 264 days
2274.6
TCGA-EB-A44N-01A
59 years, male, white, stage:Stage IIC, dead, 205 days
2106.5
TCGA-FR-A3R1-01A
69 years, male, white, stage:Stage IIC, alive, 685 days
1870.1
TCGA-EB-A3HV-01A
37 years, male, white, stage:Stage IIC, alive, 39 days
1812.4
TCGA-GN-A26C-01A
77 years, male, white, stage:Stage IIIC, dead, 821 days
1768.1
TCGA-FR-A2OS-01A
49 years, female, white, stage:Stage IIC, dead, 368 days
1552.2
TCGA-BF-A1Q0-01A
80 years, male, white, stage:Stage IIC, alive, 831 days
1432.3
TCGA-BF-A3DM-01A
63 years, male, white, stage:Stage IIA, alive, 601 days
674.1
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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
