We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
TESTIS CANCER - Interactive survival scatter ploti
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.
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 FPKM
1132.4
Number of samples
134
Samples
Sample
Description
FPKM
TCGA-ZM-AA0H-01A
50 years, male, white, stage:is, alive, 1736 days
6326.7
TCGA-SB-A6J6-01A
22 years, male, white, stage:ia, alive, 413 days
5753.9
TCGA-SN-A6IS-01A
26 years, male, white, stage:is, alive, 496 days
5372.5
TCGA-2G-AAEX-01A
38 years, male, white, stage:is, alive, 1259 days
4581.6
TCGA-2G-AAFH-01A
38 years, male, white, stage:iib, alive, 1375 days
4026.2
TCGA-WZ-A7V5-01A
27 years, male, white, stage:i, alive, 1061 days
4007.1
TCGA-XE-AAOD-01A
39 years, male, white, stage:ib, alive, 2058 days
3874.4
TCGA-WZ-A7V4-01A
28 years, male, white, stage:i, alive, 894 days
3349.1
TCGA-XE-AAOB-01A
27 years, male, white, stage:is, dead, 513 days
3346.0
TCGA-2G-AAGP-01A
33 years, male, white, stage:iia, alive, 4018 days
3279.7
TCGA-2G-AAFL-01A
35 years, male, white, stage:ib, alive, 750 days
3206.0
TCGA-XE-AAOF-01A
50 years, male, asian, stage:ia, alive, 1268 days
3084.6
TCGA-ZM-AA0F-01A
35 years, male, white, stage:ia, alive, 681 days
3035.3
TCGA-4K-AA1I-01A
26 years, male, white, stage:ia, alive, 3 days
2987.9
TCGA-2X-A9D5-01A
49 years, male, white, stage:i, alive, 435 days
2848.5
TCGA-XE-AANV-01A
52 years, male, stage:ib, alive, 1701 days
2672.8
TCGA-XY-A9T9-01A
37 years, male, white, stage:is, alive, 281 days
2609.4
TCGA-WZ-A7V3-01A
20 years, male, white, stage:i, alive, 753 days
2383.4
TCGA-WZ-A8D5-01A
38 years, male, white, alive, 774 days
2317.2
TCGA-ZM-AA0B-01A
32 years, male, white, stage:ia, alive, 838 days
2215.4
TCGA-2X-A9D6-01A
42 years, male, white, stage:i, alive, 607 days
2207.3
TCGA-2G-AAG9-01A
25 years, male, white, stage:iiib, alive, 2234 days
2160.3
TCGA-2G-AAGZ-01A
27 years, male, white, stage:iiia, alive, 5233 days
2154.1
TCGA-W4-A7U3-01A
26 years, male, white, alive, 149 days
2130.5
TCGA-ZM-AA06-01A
45 years, male, white, stage:ib, alive, 1498 days
2125.5
TCGA-2G-AAF8-01A
33 years, male, white, stage:ia, alive, 3911 days
2063.4
TCGA-4K-AA1H-01A
26 years, male, white, stage:ia, alive, 518 days
2005.7
TCGA-4K-AAAL-01A
31 years, male, white, stage:is, alive, 483 days
1999.3
TCGA-X3-A8G4-01A
33 years, male, white, stage:is, alive, 856 days
1954.0
TCGA-2G-AAHC-01A
33 years, male, white, stage:is, alive, 5539 days
1945.9
TCGA-XY-A89B-01A
35 years, male, white, stage:ia, alive, 471 days
1917.9
TCGA-2G-AAHN-01A
32 years, male, white, stage:i, alive, 6445 days
1874.1
TCGA-XE-A9SE-01A
35 years, male, white, stage:ia, alive, 708 days
1843.9
TCGA-2G-AAG8-01A
21 years, male, white, stage:ib, alive, 2289 days
1778.4
TCGA-ZM-AA0N-01A
44 years, male, white, stage:ib, alive, 634 days
1755.2
TCGA-ZM-AA0D-01A
34 years, male, white, stage:ia, alive, 848 days
1740.6
TCGA-2G-AAH3-01A
20 years, male, white, stage:i, alive, 1822 days
1680.5
TCGA-2G-AAFO-01A
33 years, male, white, stage:iia, alive, 685 days
1667.6
TCGA-2G-AAF1-01A
28 years, male, asian, stage:is, alive, 1403 days
1575.7
TCGA-2G-AAH4-01A
34 years, male, white, stage:ii, alive, 6210 days
1494.3
TCGA-VF-A8AA-01A
51 years, male, white, stage:i, alive, 1146 days
1458.9
TCGA-2G-AALP-01A
43 years, male, white, stage:iiib, alive, 2645 days
1330.3
TCGA-YU-A90S-01A
26 years, male, white, stage:ia, alive, 971 days
1311.9
TCGA-2G-AAFG-01A
30 years, male, white, stage:is, alive, 6183 days
1311.8
TCGA-XE-AANI-01A
37 years, male, white, stage:is, alive, 1041 days
1308.4
TCGA-2G-AAKH-01A
19 years, male, white, stage:ii, alive, 6862 days
1268.4
TCGA-2G-AAGJ-01A
28 years, male, black or african american, stage:ia, alive, 2938 days
1252.0
TCGA-VF-A8AE-01A
39 years, male, white, stage:ia, alive, 727 days
1191.2
TCGA-VF-A8AD-01A
36 years, male, white, stage:ib, alive, 1006 days
1100.9
TCGA-SN-A84X-01A
21 years, male, white, stage:is, alive, 312 days
1086.5
TCGA-2G-AAFV-01A
31 years, male, white, stage:is, alive, 1389 days
1074.5
TCGA-VF-A8A9-01A
31 years, male, white, stage:ia, alive, 1119 days
1024.2
TCGA-ZM-AA0E-01A
39 years, male, white, stage:ia, alive, 811 days
1022.3
TCGA-YU-A90W-01A
45 years, male, white, stage:ia, alive, 1113 days
1014.8
TCGA-2G-AAFY-01A
24 years, male, white, stage:iia, alive, 1099 days
1010.9
TCGA-YU-A90P-01A
25 years, male, white, stage:ia, alive, 2069 days
978.4
TCGA-2G-AAGY-01A
28 years, male, white, stage:is, alive, 5329 days
972.4
TCGA-SB-A76C-01A
38 years, male, white, alive, 42 days
964.3
TCGA-VF-A8AC-01A
29 years, male, white, stage:ia, alive, 1083 days
946.9
TCGA-SO-A8JP-01A
29 years, male, white, stage:i, alive, 540 days
941.6
TCGA-XE-A8H4-01A
23 years, male, white, stage:ia, alive, 559 days
883.3
TCGA-2G-AAFE-01A
37 years, male, white, stage:iia, alive, 4702 days
837.5
TCGA-XY-A8S2-01A
67 years, male, white, stage:i, alive, 672 days
827.3
TCGA-2G-AAFM-01A
31 years, male, white, stage:iia, alive, 503 days
821.9
TCGA-W4-A7U2-01A
26 years, male, white, alive, 1263 days
767.2
TCGA-2G-AAGI-01A
33 years, male, white, stage:is, alive, 3137 days
749.7
TCGA-2G-AAHL-01A
26 years, male, white, stage:i, alive, 7081 days
697.4
TCGA-ZM-AA05-01A
36 years, male, white, stage:iic, alive, 1126 days
665.2
TCGA-S6-A8JW-01A
37 years, male, white, stage:is, alive, 698 days
660.4
TCGA-2G-AAHA-01A
48 years, male, white, stage:ib, alive, 3349 days
643.6
TCGA-YU-A90Y-01A
23 years, male, black or african american, stage:iiic, dead, 17 days
633.0
TCGA-XE-AANJ-01A
39 years, male, white, stage:is, alive, 2007 days
631.0
TCGA-XE-AANR-01A
24 years, male, white, stage:i, alive, 14 days
594.0
TCGA-2G-AAF4-01A
30 years, male, white, stage:i, alive, 2315 days
506.4
TCGA-XE-AAO4-01A
40 years, male, white, stage:ia, alive, 367 days
494.4
TCGA-2G-AAG3-01A
53 years, male, white, stage:is, alive, 1593 days
490.4
TCGA-2G-AAGT-01A
30 years, male, white, stage:is, alive, 4406 days
442.4
TCGA-XE-AAOL-01A
38 years, male, black or african american, stage:i, alive, 13 days
434.4
TCGA-YU-A912-01A
34 years, male, black or african american, stage:iiic, alive, 866 days
429.8
TCGA-2G-AAGG-01A
20 years, male, white, stage:iiic, alive, 2611 days
398.8
TCGA-2G-AAKL-01A
26 years, male, white, stage:ii, alive, 7023 days
386.1
TCGA-2G-AAF6-01A
28 years, male, white, stage:is, alive, 3491 days
368.0
TCGA-XE-AAOJ-01A
24 years, male, white, stage:is, alive, 1550 days
343.9
TCGA-YU-A94D-01A
28 years, male, stage:iiib, alive, 2167 days
342.3
TCGA-YU-A90Q-01A
21 years, male, stage:ib, alive, 1964 days
335.3
TCGA-YU-AA61-01A
29 years, male, white, stage:is, alive, 864 days
309.3
TCGA-2G-AAGN-01A
41 years, male, white, stage:iiib, alive, 3656 days
294.7
TCGA-2G-AAH8-01A
45 years, male, white, stage:iiic, alive, 2248 days
294.5
TCGA-2G-AAHG-01A
25 years, male, white, stage:i, alive, 1819 days
283.3
TCGA-2G-AAH0-01A
30 years, male, white, stage:is, alive, 5477 days
280.8
TCGA-S6-A8JY-01A
27 years, male, white, stage:is, alive, 278 days
270.8
TCGA-2G-AAGK-01A
20 years, male, white, stage:is, alive, 3621 days
254.0
TCGA-2G-AAGF-01A
28 years, male, white, stage:is, alive, 2734 days
251.4
TCGA-XE-AAOC-01A
31 years, male, white, stage:ia, alive, 270 days
249.7
TCGA-XE-A8H5-01A
29 years, male, stage:is, alive, 1217 days
244.4
TCGA-2G-AAGE-01A
21 years, male, white, stage:is, alive, 2478 days
214.6
TCGA-2G-AAHP-01A
31 years, male, white, stage:is, alive, 5667 days
182.2
TCGA-2G-AAKG-01A
22 years, male, white, stage:i, alive, 6598 days
177.9
TCGA-VF-A8AB-01A
31 years, male, black or african american, stage:ia, alive, 760 days
165.8
TCGA-2G-AAG0-01A
23 years, male, white, stage:is, alive, 1529 days
151.9
TCGA-2G-AAHT-01A
32 years, male, white, stage:is, alive, 542 days
141.1
TCGA-2G-AAFN-01A
26 years, male, white, stage:iiib, alive, 773 days
136.7
TCGA-2G-AAGA-01A
38 years, male, white, stage:iia, alive, 2439 days
134.4
TCGA-W4-A7U4-01A
23 years, male, white, alive, 738 days
122.1
TCGA-2G-AAKM-01A
14 years, male, white, stage:ii, dead, 6972 days
116.8
TCGA-2G-AAGC-01A
28 years, male, white, stage:is, alive, 2585 days
114.7
TCGA-2G-AAFI-01A
41 years, male, white, stage:ib, alive, 675 days
109.6
TCGA-XE-AAO6-01A
47 years, male, white, stage:ia, alive, 240 days
109.4
TCGA-XE-AAO3-01A
33 years, male, asian, stage:i, alive, 2857 days
83.5
TCGA-2G-AAG7-01A
33 years, male, white, stage:is, alive, 2475 days
76.6
TCGA-2G-AAFZ-01A
32 years, male, white, stage:iii, alive, 1353 days
74.9
TCGA-2G-AAFJ-01A
23 years, male, asian, alive, 792 days
69.8
TCGA-2G-AAGO-01A
41 years, male, white, stage:is, alive, 4026 days
69.4
TCGA-SN-A84W-01A
30 years, male, white, stage:is, alive, 293 days
60.0
TCGA-2G-AAKD-01A
18 years, male, white, stage:iii, alive, 6340 days
57.3
TCGA-2G-AAEW-01A
31 years, male, white, stage:is, dead, 618 days
56.2
TCGA-2G-AAL7-01A
32 years, male, white, stage:is, alive, 3991 days
54.7
TCGA-S6-A8JX-01A
27 years, male, white, stage:ib, alive, 552 days
53.2
TCGA-4K-AA1G-01A
34 years, male, white, stage:is, alive, 436 days
35.2
TCGA-2G-AAGM-01A
51 years, male, white, stage:is, alive, 3891 days
28.3
TCGA-2G-AAH2-01A
20 years, male, white, stage:is, alive, 6060 days
21.3
TCGA-2G-AAG6-01A
24 years, male, white, stage:is, alive, 2231 days
17.2
TCGA-XE-A8H1-01A
24 years, male, white, stage:is, alive, 209 days
16.8
TCGA-YU-A94I-01A
66 years, male, stage:ia, alive, 536 days
13.5
TCGA-VF-A8A8-01A
18 years, male, white, stage:ia, alive, 1131 days
11.1
TCGA-2G-AAG5-01A
36 years, male, white, stage:is, alive, 2299 days
9.8
TCGA-2G-AAGV-01A
23 years, male, white, alive, 4527 days
8.2
TCGA-YU-AA4L-01A
27 years, male, black or african american, stage:iiic, alive, 1573 days
5.4
TCGA-SN-A84Y-01A
18 years, male, white, stage:is, alive, 524 days
5.3
TCGA-XY-A8S3-01B
24 years, male, white, stage:is, alive, 843 days
3.3
TCGA-2G-AAGX-01A
22 years, male, white, stage:ia, alive, 5514 days
2.9
TCGA-2G-AAGS-01A
39 years, male, white, stage:iiib, alive, 4816 days
1.5
TCGA-2G-AAL5-01A
31 years, male, white, stage:i, alive, 7437 days
0.9
TCGA-2G-AAGW-01A
38 years, male, white, stage:is, alive, 4899 days
0.5
Show allShow less
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.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.