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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-ND6 is not prognostic in Testicular Germ Cell Tumor (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
5-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
5-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
3125.5
Number of samples
133
Samples
Sample
Description
pTPM
TCGA-ZM-AA06-01A
45 years, male, white, stage:Stage IB, alive, 1498 days
28392.3
TCGA-ZM-AA0E-01A
39 years, male, white, stage:Stage IA, alive, 811 days
15026.6
TCGA-XE-AAOL-01A
38 years, male, black or african american, stage:Stage I, alive, 13 days
14234.2
TCGA-XE-AAO6-01A
47 years, male, white, stage:Stage IA, alive, 240 days
13318.0
TCGA-ZM-AA0H-01A
50 years, male, white, stage:Stage IS, alive, 1736 days
10633.9
TCGA-2G-AAG6-01A
24 years, male, white, stage:Stage IS, alive, 2231 days
9727.3
TCGA-ZM-AA05-01A
36 years, male, white, stage:Stage IIC, alive, 1126 days
9620.2
TCGA-ZM-AA0F-01A
35 years, male, white, stage:Stage IA, alive, 681 days
9592.9
TCGA-ZM-AA0N-01A
44 years, male, white, stage:Stage IB, alive, 634 days
8449.4
TCGA-ZM-AA0D-01A
34 years, male, white, stage:Stage IA, alive, 848 days
7452.5
TCGA-XE-AAO4-01A
40 years, male, white, stage:Stage IA, alive, 367 days
7164.6
TCGA-2G-AAHG-01A
25 years, male, white, stage:Stage I, alive, 1819 days
7047.9
TCGA-VF-A8AB-01A
31 years, male, black or african american, stage:Stage IA, alive, 760 days
6877.3
TCGA-YU-A90S-01A
26 years, male, white, stage:Stage IA, alive, 971 days
6638.9
TCGA-XY-A89B-01A
35 years, male, white, stage:Stage IA, alive, 471 days
5868.1
TCGA-S6-A8JX-01A
27 years, male, white, stage:Stage IB, alive, 552 days
5805.5
TCGA-ZM-AA0B-01A
32 years, male, white, stage:Stage IA, alive, 838 days
5771.7
TCGA-2G-AAGG-01A
20 years, male, white, stage:Stage IIIC, alive, 2611 days
5440.5
TCGA-YU-A94I-01A
66 years, male, stage:Stage IA, alive, 536 days
5214.4
TCGA-XE-AAOC-01A
31 years, male, white, stage:Stage IA, alive, 270 days
5085.3
TCGA-WZ-A7V4-01A
28 years, male, white, stage:Stage I, alive, 894 days
4479.9
TCGA-WZ-A7V5-01A
27 years, male, white, stage:Stage I, alive, 1061 days
4183.5
TCGA-2G-AAGV-01A
23 years, male, white, stage:'--, alive, 4527 days
4039.5
TCGA-YU-AA61-01A
29 years, male, white, stage:Stage IS, alive, 864 days
3934.0
TCGA-S6-A8JY-01A
27 years, male, white, stage:Stage IS, alive, 278 days
3927.5
TCGA-2G-AAGY-01A
28 years, male, white, stage:Stage IS, alive, 5329 days
3869.1
TCGA-2G-AAH3-01A
20 years, male, white, stage:Stage I, alive, 1822 days
3693.1
TCGA-YU-A912-01A
34 years, male, black or african american, stage:Stage IIIC, alive, 866 days
3543.2
TCGA-YU-A90Y-01A
23 years, male, black or african american, stage:Stage IIIC, dead, 17 days
3495.5
TCGA-2G-AAKM-01A
14 years, male, white, stage:Stage II, dead, 6972 days
3487.8
TCGA-XE-AAOD-01A
39 years, male, white, stage:Stage IB, alive, 2058 days
3460.0
TCGA-2G-AAFE-01A
37 years, male, white, stage:Stage IIA, alive, 4702 days
3414.1
TCGA-XE-AAOF-01A
50 years, male, asian, stage:Stage IA, alive, 1268 days
3370.2
TCGA-2G-AAGZ-01A
27 years, male, white, stage:Stage IIIA, alive, 5233 days
3254.0
TCGA-YU-A90Q-01A
21 years, male, stage:Stage IB, alive, 1964 days
3229.1
TCGA-XE-AANV-01A
52 years, male, stage:Stage IB, alive, 1701 days
3161.7
TCGA-XE-A9SE-01A
35 years, male, white, stage:Stage IA, alive, 708 days
3123.6
TCGA-2G-AAH2-01A
20 years, male, white, stage:Stage IS, alive, 6060 days
3084.4
TCGA-2G-AAFJ-01A
23 years, male, asian, stage:'--, alive, 792 days
3071.8
TCGA-XE-AANI-01A
37 years, male, white, stage:Stage IS, alive, 1041 days
3038.3
TCGA-2G-AAG9-01A
25 years, male, white, stage:Stage IIIB, alive, 2234 days
2991.1
TCGA-2G-AAKG-01A
22 years, male, white, stage:Stage I, alive, 6598 days
2987.6
TCGA-2G-AAGP-01A
33 years, male, white, stage:Stage IIA, alive, 4018 days
2946.4
TCGA-XE-AAOB-01A
27 years, male, white, stage:Stage IS, dead, 513 days
2861.4
TCGA-YU-A90W-01A
45 years, male, white, stage:Stage IA, alive, 1113 days
2803.8
TCGA-XE-AANJ-01A
39 years, male, white, stage:Stage IS, alive, 2007 days
2798.0
TCGA-2G-AAG3-01A
53 years, male, white, stage:Stage IS, alive, 1593 days
2791.7
TCGA-WZ-A7V3-01A
20 years, male, white, stage:Stage I, alive, 753 days
2778.8
TCGA-SN-A6IS-01A
26 years, male, white, stage:Stage IS, alive, 496 days
2777.8
TCGA-YU-A90P-01A
25 years, male, white, stage:Stage IA, alive, 2069 days
2763.8
TCGA-2G-AAFV-01A
31 years, male, white, stage:Stage IS, alive, 1389 days
2726.4
TCGA-2X-A9D5-01A
49 years, male, white, stage:Stage I, alive, 435 days
2721.2
TCGA-2G-AAHN-01A
32 years, male, white, stage:Stage I, alive, 6445 days
2695.7
TCGA-VF-A8AE-01A
39 years, male, white, stage:Stage IA, alive, 727 days
2694.1
TCGA-2G-AAG5-01A
36 years, male, white, stage:Stage IS, alive, 2299 days
2665.4
TCGA-WZ-A8D5-01A
38 years, male, white, stage:'--, alive, 774 days
2646.1
TCGA-4K-AA1I-01A
26 years, male, white, stage:Stage IA, alive, 3 days
2578.7
TCGA-2G-AAGM-01A
51 years, male, white, stage:Stage IS, alive, 3891 days
2506.6
TCGA-SN-A84W-01A
30 years, male, white, stage:Stage IS, alive, 293 days
2392.3
TCGA-2X-A9D6-01A
42 years, male, white, stage:Stage I, alive, 607 days
2350.4
TCGA-2G-AAL7-01A
32 years, male, white, stage:Stage IS, alive, 3991 days
2333.4
TCGA-2G-AAGC-01A
28 years, male, white, stage:Stage IS, alive, 2585 days
2317.6
TCGA-VF-A8A9-01A
31 years, male, white, stage:Stage IA, alive, 1119 days
2300.4
TCGA-2G-AAHC-01A
33 years, male, white, stage:Stage IS, alive, 5539 days
2252.4
TCGA-YU-A94D-01A
28 years, male, stage:Stage IIIB, alive, 2167 days
2245.0
TCGA-2G-AAHA-01A
48 years, male, white, stage:Stage IB, alive, 3349 days
2230.3
TCGA-XE-A8H4-01A
23 years, male, white, stage:Stage IA, alive, 559 days
2218.9
TCGA-2G-AAF4-01A
30 years, male, white, stage:Stage I, alive, 2315 days
2201.0
TCGA-2G-AAH0-01A
30 years, male, white, stage:Stage IS, alive, 5477 days
2191.3
TCGA-YU-AA4L-01A
27 years, male, black or african american, stage:Stage IIIC, alive, 1573 days
2167.5
TCGA-2G-AAGO-01A
41 years, male, white, stage:Stage IS, alive, 4026 days
2128.0
TCGA-2G-AAGT-01A
30 years, male, white, stage:Stage IS, alive, 4406 days
2071.4
TCGA-SB-A76C-01A
38 years, male, white, stage:'--, alive, 42 days
2046.9
TCGA-2G-AAF8-01A
33 years, male, white, stage:Stage IA, alive, 3911 days
1991.1
TCGA-VF-A8AA-01A
51 years, male, white, stage:Stage I, alive, 1146 days
1951.3
TCGA-SN-A84X-01A
21 years, male, white, stage:Stage IS, alive, 312 days
1916.6
TCGA-S6-A8JW-01A
37 years, male, white, stage:Stage IS, alive, 698 days
1893.3
TCGA-W4-A7U4-01A
23 years, male, white, stage:'--, alive, 738 days
1885.7
TCGA-2G-AAG0-01A
23 years, male, white, stage:Stage IS, alive, 1529 days
1865.6
TCGA-W4-A7U3-01A
26 years, male, white, stage:'--, alive, 149 days
1845.5
TCGA-2G-AAG7-01A
33 years, male, white, stage:Stage IS, alive, 2475 days
1788.5
TCGA-2G-AAGS-01A
39 years, male, white, stage:Stage IIIB, alive, 4816 days
1765.2
TCGA-2G-AAL5-01A
31 years, male, white, stage:Stage I, alive, 7437 days
1726.4
TCGA-2G-AAGE-01A
21 years, male, white, stage:Stage IS, alive, 2478 days
1710.5
TCGA-XE-AAOJ-01A
24 years, male, white, stage:Stage IS, alive, 1550 days
1668.2
TCGA-XY-A9T9-01A
37 years, male, white, stage:Stage IS, alive, 281 days
1581.5
TCGA-SB-A6J6-01A
22 years, male, white, stage:Stage IA, alive, 413 days
1535.3
TCGA-XE-A8H1-01A
24 years, male, white, stage:Stage IS, alive, 209 days
1514.4
TCGA-4K-AA1H-01A
26 years, male, white, stage:Stage IA, alive, 518 days
1483.6
TCGA-4K-AAAL-01A
31 years, male, white, stage:Stage IS, alive, 483 days
1445.5
TCGA-2G-AAGX-01A
22 years, male, white, stage:Stage IA, alive, 5514 days
1417.9
TCGA-2G-AAGI-01A
33 years, male, white, stage:Stage IS, alive, 3137 days
1403.3
TCGA-2G-AAFH-01A
38 years, male, white, stage:Stage IIB, alive, 1375 days
1402.8
TCGA-XY-A8S2-01A
67 years, male, white, stage:Stage I, alive, 672 days
1397.4
TCGA-2G-AAFG-01A
30 years, male, white, stage:Stage IS, alive, 6183 days
1392.3
TCGA-2G-AAGA-01A
38 years, male, white, stage:Stage IIA, alive, 2439 days
1386.1
TCGA-2G-AAKH-01A
19 years, male, white, stage:Stage II, alive, 6862 days
1366.0
TCGA-2G-AAH4-01A
34 years, male, white, stage:Stage II, alive, 6210 days
1352.0
TCGA-2G-AAHL-01A
26 years, male, white, stage:Stage I, alive, 7081 days
1314.0
TCGA-2G-AALP-01A
43 years, male, white, stage:Stage IIIB, alive, 2645 days
1311.2
TCGA-2G-AAFL-01A
35 years, male, white, stage:Stage IB, alive, 750 days
1310.0
TCGA-2G-AAF1-01A
28 years, male, asian, stage:Stage IS, alive, 1403 days
1304.0
TCGA-SO-A8JP-01A
29 years, male, white, stage:Stage I, alive, 540 days
1272.8
TCGA-2G-AAFM-01A
31 years, male, white, stage:Stage IIA, alive, 503 days
1198.9
TCGA-SN-A84Y-01A
18 years, male, white, stage:Stage IS, alive, 524 days
1195.7
TCGA-2G-AAKL-01A
26 years, male, white, stage:Stage II, alive, 7023 days
1183.9
TCGA-2G-AAFY-01A
24 years, male, white, stage:Stage IIA, alive, 1099 days
1159.2
TCGA-2G-AAGN-01A
41 years, male, white, stage:Stage IIIB, alive, 3656 days
1145.2
TCGA-XE-AAO3-01A
33 years, male, asian, stage:Stage I, alive, 2857 days
1118.7
TCGA-2G-AAG8-01A
21 years, male, white, stage:Stage IB, alive, 2289 days
1112.2
TCGA-2G-AAEW-01A
31 years, male, white, stage:Stage IS, dead, 618 days
1105.1
TCGA-2G-AAFI-01A
41 years, male, white, stage:Stage IB, alive, 675 days
1099.4
TCGA-XE-AANR-01A
23 years, male, white, stage:Stage I, alive, 14 days
1088.0
TCGA-W4-A7U2-01A
26 years, male, white, stage:'--, alive, 1263 days
1064.7
TCGA-2G-AAH8-01A
45 years, male, white, stage:Stage IIIC, alive, 2248 days
1062.1
TCGA-VF-A8AD-01A
36 years, male, white, stage:Stage IB, alive, 1006 days
1016.3
TCGA-2G-AAGK-01A
20 years, male, white, stage:Stage IS, alive, 3621 days
985.6
TCGA-2G-AAFO-01A
33 years, male, white, stage:Stage IIA, alive, 685 days
974.3
TCGA-VF-A8AC-01A
29 years, male, white, stage:Stage IA, alive, 1083 days
963.7
TCGA-2G-AAHT-01A
32 years, male, white, stage:Stage IS, alive, 542 days
929.9
TCGA-XE-A8H5-01A
29 years, male, stage:Stage IS, alive, 1217 days
864.8
TCGA-X3-A8G4-01A
33 years, male, white, stage:Stage IS, alive, 856 days
845.5
TCGA-2G-AAF6-01A
28 years, male, white, stage:Stage IS, alive, 3491 days
840.2
TCGA-2G-AAGW-01A
38 years, male, white, stage:Stage IS, alive, 4899 days
837.0
TCGA-2G-AAFN-01A
26 years, male, white, stage:Stage IIIB, alive, 773 days
805.6
TCGA-2G-AAEX-01A
38 years, male, white, stage:Stage IS, alive, 1259 days
804.7
TCGA-2G-AAGJ-01A
28 years, male, black or african american, stage:Stage IA, alive, 2938 days
725.6
TCGA-VF-A8A8-01A
18 years, male, white, stage:Stage IA, alive, 1131 days
694.4
TCGA-2G-AAGF-01A
28 years, male, white, stage:Stage IS, alive, 2734 days
639.9
TCGA-2G-AAFZ-01A
32 years, male, white, stage:Stage III, alive, 1353 days
599.2
TCGA-2G-AAKD-01A
18 years, male, white, stage:Stage III, alive, 6340 days
505.0
TCGA-4K-AA1G-01A
34 years, male, white, stage:Stage IS, alive, 436 days
409.8
TCGA-2G-AAHP-01A
31 years, male, white, stage:Stage IS, alive, 5667 days
116.4
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TESTIS CANCER - 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
