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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.
TMA7 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
577.8
Number of samples
133
Samples
Sample
Description
pTPM
TCGA-YU-AA4L-01A
27 years, male, black or african american, stage:Stage IIIC, alive, 1573 days
2768.2
TCGA-2G-AAHT-01A
32 years, male, white, stage:Stage IS, alive, 542 days
1896.4
TCGA-YU-AA61-01A
29 years, male, white, stage:Stage IS, alive, 864 days
1737.9
TCGA-2G-AAGT-01A
30 years, male, white, stage:Stage IS, alive, 4406 days
1606.8
TCGA-W4-A7U3-01A
26 years, male, white, stage:'--, alive, 149 days
1565.7
TCGA-VF-A8AB-01A
31 years, male, black or african american, stage:Stage IA, alive, 760 days
1469.8
TCGA-XE-AANJ-01A
39 years, male, white, stage:Stage IS, alive, 2007 days
1467.8
TCGA-4K-AA1G-01A
34 years, male, white, stage:Stage IS, alive, 436 days
1431.4
TCGA-2G-AAGW-01A
38 years, male, white, stage:Stage IS, alive, 4899 days
1291.4
TCGA-4K-AAAL-01A
31 years, male, white, stage:Stage IS, alive, 483 days
1135.5
TCGA-SB-A76C-01A
38 years, male, white, stage:'--, alive, 42 days
1112.5
TCGA-VF-A8A8-01A
18 years, male, white, stage:Stage IA, alive, 1131 days
1046.1
TCGA-SN-A84Y-01A
18 years, male, white, stage:Stage IS, alive, 524 days
1040.4
TCGA-YU-A94I-01A
66 years, male, stage:Stage IA, alive, 536 days
1012.5
TCGA-2G-AAGS-01A
39 years, male, white, stage:Stage IIIB, alive, 4816 days
922.5
TCGA-2G-AAFE-01A
37 years, male, white, stage:Stage IIA, alive, 4702 days
919.4
TCGA-ZM-AA0B-01A
32 years, male, white, stage:Stage IA, alive, 838 days
839.0
TCGA-2G-AAKD-01A
18 years, male, white, stage:Stage III, alive, 6340 days
831.6
TCGA-ZM-AA0D-01A
34 years, male, white, stage:Stage IA, alive, 848 days
829.1
TCGA-XE-AAO6-01A
47 years, male, white, stage:Stage IA, alive, 240 days
803.3
TCGA-2G-AAGF-01A
28 years, male, white, stage:Stage IS, alive, 2734 days
767.1
TCGA-2G-AAHP-01A
31 years, male, white, stage:Stage IS, alive, 5667 days
746.2
TCGA-VF-A8AE-01A
39 years, male, white, stage:Stage IA, alive, 727 days
743.2
TCGA-XE-AAOL-01A
38 years, male, black or african american, stage:Stage I, alive, 13 days
732.9
TCGA-2G-AAFM-01A
31 years, male, white, stage:Stage IIA, alive, 503 days
727.9
TCGA-XE-AAOF-01A
50 years, male, asian, stage:Stage IA, alive, 1268 days
724.1
TCGA-SN-A6IS-01A
26 years, male, white, stage:Stage IS, alive, 496 days
705.9
TCGA-2G-AAFN-01A
26 years, male, white, stage:Stage IIIB, alive, 773 days
693.3
TCGA-2X-A9D5-01A
49 years, male, white, stage:Stage I, alive, 435 days
686.1
TCGA-2G-AAFV-01A
31 years, male, white, stage:Stage IS, alive, 1389 days
677.9
TCGA-2G-AAHG-01A
25 years, male, white, stage:Stage I, alive, 1819 days
673.3
TCGA-4K-AA1I-01A
26 years, male, white, stage:Stage IA, alive, 3 days
661.9
TCGA-2G-AAL5-01A
31 years, male, white, stage:Stage I, alive, 7437 days
660.2
TCGA-2G-AAFO-01A
33 years, male, white, stage:Stage IIA, alive, 685 days
656.7
TCGA-S6-A8JY-01A
27 years, male, white, stage:Stage IS, alive, 278 days
651.2
TCGA-SN-A84X-01A
21 years, male, white, stage:Stage IS, alive, 312 days
646.0
TCGA-XE-AAOJ-01A
24 years, male, white, stage:Stage IS, alive, 1550 days
635.0
TCGA-YU-A90W-01A
45 years, male, white, stage:Stage IA, alive, 1113 days
634.9
TCGA-XE-A8H5-01A
29 years, male, stage:Stage IS, alive, 1217 days
630.0
TCGA-2G-AAH4-01A
34 years, male, white, stage:Stage II, alive, 6210 days
623.0
TCGA-ZM-AA0E-01A
39 years, male, white, stage:Stage IA, alive, 811 days
610.5
TCGA-2G-AAF4-01A
30 years, male, white, stage:Stage I, alive, 2315 days
610.1
TCGA-2G-AAGM-01A
51 years, male, white, stage:Stage IS, alive, 3891 days
606.1
TCGA-2G-AAKG-01A
22 years, male, white, stage:Stage I, alive, 6598 days
590.5
TCGA-2G-AAH8-01A
45 years, male, white, stage:Stage IIIC, alive, 2248 days
589.6
TCGA-2G-AAFZ-01A
32 years, male, white, stage:Stage III, alive, 1353 days
578.8
TCGA-XE-A8H1-01A
24 years, male, white, stage:Stage IS, alive, 209 days
576.6
TCGA-2G-AAFG-01A
30 years, male, white, stage:Stage IS, alive, 6183 days
568.9
TCGA-W4-A7U2-01A
26 years, male, white, stage:'--, alive, 1263 days
567.8
TCGA-2G-AAH3-01A
20 years, male, white, stage:Stage I, alive, 1822 days
558.9
TCGA-WZ-A8D5-01A
38 years, male, white, stage:'--, alive, 774 days
558.7
TCGA-ZM-AA0N-01A
44 years, male, white, stage:Stage IB, alive, 634 days
546.0
TCGA-2G-AAHL-01A
26 years, male, white, stage:Stage I, alive, 7081 days
541.1
TCGA-YU-A90Q-01A
21 years, male, stage:Stage IB, alive, 1964 days
538.8
TCGA-XE-AAOC-01A
31 years, male, white, stage:Stage IA, alive, 270 days
537.0
TCGA-2G-AAG7-01A
33 years, male, white, stage:Stage IS, alive, 2475 days
535.1
TCGA-2G-AAHN-01A
32 years, male, white, stage:Stage I, alive, 6445 days
513.8
TCGA-4K-AA1H-01A
26 years, male, white, stage:Stage IA, alive, 518 days
511.5
TCGA-2G-AAGY-01A
28 years, male, white, stage:Stage IS, alive, 5329 days
510.4
TCGA-2G-AAKH-01A
19 years, male, white, stage:Stage II, alive, 6862 days
509.9
TCGA-VF-A8AC-01A
29 years, male, white, stage:Stage IA, alive, 1083 days
505.2
TCGA-2G-AAGA-01A
38 years, male, white, stage:Stage IIA, alive, 2439 days
504.1
TCGA-W4-A7U4-01A
23 years, male, white, stage:'--, alive, 738 days
501.8
TCGA-2G-AAF6-01A
28 years, male, white, stage:Stage IS, alive, 3491 days
501.2
TCGA-VF-A8AA-01A
51 years, male, white, stage:Stage I, alive, 1146 days
499.4
TCGA-XE-AAO4-01A
40 years, male, white, stage:Stage IA, alive, 367 days
497.0
TCGA-2G-AAEW-01A
31 years, male, white, stage:Stage IS, dead, 618 days
488.9
TCGA-YU-A94D-01A
28 years, male, stage:Stage IIIB, alive, 2167 days
487.5
TCGA-2G-AAFY-01A
24 years, male, white, stage:Stage IIA, alive, 1099 days
482.4
TCGA-SN-A84W-01A
30 years, male, white, stage:Stage IS, alive, 293 days
477.3
TCGA-XE-A8H4-01A
23 years, male, white, stage:Stage IA, alive, 559 days
474.9
TCGA-2G-AALP-01A
43 years, male, white, stage:Stage IIIB, alive, 2645 days
465.2
TCGA-2G-AAGG-01A
20 years, male, white, stage:Stage IIIC, alive, 2611 days
463.6
TCGA-SO-A8JP-01A
29 years, male, white, stage:Stage I, alive, 540 days
461.4
TCGA-XE-AAO3-01A
33 years, male, asian, stage:Stage I, alive, 2857 days
458.6
TCGA-2G-AAF8-01A
33 years, male, white, stage:Stage IA, alive, 3911 days
458.2
TCGA-2G-AAGN-01A
41 years, male, white, stage:Stage IIIB, alive, 3656 days
456.5
TCGA-ZM-AA06-01A
45 years, male, white, stage:Stage IB, alive, 1498 days
455.7
TCGA-2G-AAGK-01A
20 years, male, white, stage:Stage IS, alive, 3621 days
449.3
TCGA-VF-A8A9-01A
31 years, male, white, stage:Stage IA, alive, 1119 days
447.7
TCGA-2G-AAGC-01A
28 years, male, white, stage:Stage IS, alive, 2585 days
443.6
TCGA-XE-AANI-01A
37 years, male, white, stage:Stage IS, alive, 1041 days
438.9
TCGA-2G-AAH0-01A
30 years, male, white, stage:Stage IS, alive, 5477 days
433.4
TCGA-XE-A9SE-01A
35 years, male, white, stage:Stage IA, alive, 708 days
427.6
TCGA-2G-AAGX-01A
22 years, male, white, stage:Stage IA, alive, 5514 days
427.1
TCGA-SB-A6J6-01A
22 years, male, white, stage:Stage IA, alive, 413 days
423.2
TCGA-2G-AAG0-01A
23 years, male, white, stage:Stage IS, alive, 1529 days
423.1
TCGA-2G-AAFJ-01A
23 years, male, asian, stage:'--, alive, 792 days
419.3
TCGA-ZM-AA0F-01A
35 years, male, white, stage:Stage IA, alive, 681 days
415.7
TCGA-S6-A8JW-01A
37 years, male, white, stage:Stage IS, alive, 698 days
414.7
TCGA-XE-AANR-01A
23 years, male, white, stage:Stage I, alive, 14 days
405.7
TCGA-2G-AAHA-01A
48 years, male, white, stage:Stage IB, alive, 3349 days
401.0
TCGA-2G-AAGZ-01A
27 years, male, white, stage:Stage IIIA, alive, 5233 days
399.6
TCGA-XE-AANV-01A
52 years, male, stage:Stage IB, alive, 1701 days
399.6
TCGA-2G-AAGE-01A
21 years, male, white, stage:Stage IS, alive, 2478 days
397.4
TCGA-2G-AAF1-01A
28 years, male, asian, stage:Stage IS, alive, 1403 days
390.6
TCGA-2G-AAG3-01A
53 years, male, white, stage:Stage IS, alive, 1593 days
386.2
TCGA-YU-A90S-01A
26 years, male, white, stage:Stage IA, alive, 971 days
385.5
TCGA-2G-AAGI-01A
33 years, male, white, stage:Stage IS, alive, 3137 days
382.4
TCGA-2G-AAG6-01A
24 years, male, white, stage:Stage IS, alive, 2231 days
380.4
TCGA-2G-AAKL-01A
26 years, male, white, stage:Stage II, alive, 7023 days
373.4
TCGA-2G-AAKM-01A
14 years, male, white, stage:Stage II, dead, 6972 days
373.1
TCGA-WZ-A7V4-01A
28 years, male, white, stage:Stage I, alive, 894 days
369.8
TCGA-2G-AAFL-01A
35 years, male, white, stage:Stage IB, alive, 750 days
365.6
TCGA-2X-A9D6-01A
42 years, male, white, stage:Stage I, alive, 607 days
359.9
TCGA-X3-A8G4-01A
33 years, male, white, stage:Stage IS, alive, 856 days
356.6
TCGA-2G-AAFH-01A
38 years, male, white, stage:Stage IIB, alive, 1375 days
355.1
TCGA-YU-A90P-01A
25 years, male, white, stage:Stage IA, alive, 2069 days
346.8
TCGA-ZM-AA0H-01A
50 years, male, white, stage:Stage IS, alive, 1736 days
345.5
TCGA-WZ-A7V5-01A
27 years, male, white, stage:Stage I, alive, 1061 days
337.7
TCGA-2G-AAGV-01A
23 years, male, white, stage:'--, alive, 4527 days
332.5
TCGA-YU-A912-01A
34 years, male, black or african american, stage:Stage IIIC, alive, 866 days
328.9
TCGA-2G-AAGO-01A
41 years, male, white, stage:Stage IS, alive, 4026 days
325.7
TCGA-2G-AAFI-01A
41 years, male, white, stage:Stage IB, alive, 675 days
315.8
TCGA-XE-AAOD-01A
39 years, male, white, stage:Stage IB, alive, 2058 days
310.4
TCGA-VF-A8AD-01A
36 years, male, white, stage:Stage IB, alive, 1006 days
306.3
TCGA-YU-A90Y-01A
23 years, male, black or african american, stage:Stage IIIC, dead, 17 days
294.2
TCGA-2G-AAG5-01A
36 years, male, white, stage:Stage IS, alive, 2299 days
278.5
TCGA-2G-AAG9-01A
25 years, male, white, stage:Stage IIIB, alive, 2234 days
275.8
TCGA-2G-AAGP-01A
33 years, male, white, stage:Stage IIA, alive, 4018 days
275.5
TCGA-2G-AAGJ-01A
28 years, male, black or african american, stage:Stage IA, alive, 2938 days
265.7
TCGA-XE-AAOB-01A
27 years, male, white, stage:Stage IS, dead, 513 days
265.0
TCGA-2G-AAH2-01A
20 years, male, white, stage:Stage IS, alive, 6060 days
251.3
TCGA-2G-AAL7-01A
32 years, male, white, stage:Stage IS, alive, 3991 days
238.3
TCGA-S6-A8JX-01A
27 years, male, white, stage:Stage IB, alive, 552 days
209.3
TCGA-WZ-A7V3-01A
20 years, male, white, stage:Stage I, alive, 753 days
120.0
TCGA-ZM-AA05-01A
36 years, male, white, stage:Stage IIC, alive, 1126 days
119.7
TCGA-2G-AAEX-01A
38 years, male, white, stage:Stage IS, alive, 1259 days
112.3
TCGA-XY-A89B-01A
35 years, male, white, stage:Stage IA, alive, 471 days
91.2
TCGA-XY-A8S2-01A
67 years, male, white, stage:Stage I, alive, 672 days
83.4
TCGA-XY-A9T9-01A
37 years, male, white, stage:Stage IS, alive, 281 days
79.6
TCGA-2G-AAHC-01A
33 years, male, white, stage:Stage IS, alive, 5539 days
63.2
TCGA-2G-AAG8-01A
21 years, male, white, stage:Stage IB, alive, 2289 days
37.7
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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
