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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.
MT1X 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 TPM
831.7
Number of samples
133
Samples
Sample
Description
TPM
TCGA-2G-AAKM-01A
0 years, male, white, stage:Stage II, dead, 6972 days
5749.0
TCGA-2G-AAL7-01A
0 years, male, white, stage:Stage IS, alive, 3991 days
5688.0
TCGA-2G-AAKL-01A
0 years, male, white, stage:Stage II, alive, 7023 days
5425.5
TCGA-XY-A8S2-01A
0 years, male, white, stage:Stage I, alive, 672 days
4206.9
TCGA-2G-AAGF-01A
0 years, male, white, stage:Stage IS, alive, 2734 days
4181.9
TCGA-2G-AAGW-01A
0 years, male, white, stage:Stage IS, alive, 4899 days
3722.1
TCGA-2G-AAG7-01A
0 years, male, white, stage:Stage IS, alive, 2475 days
3306.5
TCGA-2G-AAGN-01A
0 years, male, white, stage:Stage IIIB, alive, 3656 days
3261.0
TCGA-2G-AAKD-01A
0 years, male, white, stage:Stage III, alive, 6340 days
3087.4
TCGA-2G-AAGE-01A
0 years, male, white, stage:Stage IS, alive, 2478 days
3024.9
TCGA-2G-AAGS-01A
0 years, male, white, stage:Stage IIIB, alive, 4816 days
3022.1
TCGA-2G-AAG8-01A
0 years, male, white, stage:Stage IB, alive, 2289 days
2708.0
TCGA-2G-AAFL-01A
0 years, male, white, stage:Stage IB, alive, 750 days
2561.0
TCGA-2G-AAGA-01A
0 years, male, white, stage:Stage IIA, alive, 2439 days
2489.3
TCGA-2G-AAGK-01A
0 years, male, white, stage:Stage IS, alive, 3621 days
2400.1
TCGA-2G-AAFN-01A
0 years, male, white, stage:Stage IIIB, alive, 773 days
2364.1
TCGA-X3-A8G4-01A
0 years, male, white, stage:Stage IS, alive, 856 days
2312.4
TCGA-YU-A90P-01A
0 years, male, white, stage:Stage IA, alive, 2069 days
2283.8
TCGA-SN-A84Y-01A
0 years, male, white, stage:Stage IS, alive, 524 days
2283.7
TCGA-2G-AAG0-01A
0 years, male, white, stage:Stage IS, alive, 1529 days
2218.7
TCGA-2G-AAFM-01A
0 years, male, white, stage:Stage IIA, alive, 503 days
2160.0
TCGA-2G-AALP-01A
0 years, male, white, stage:Stage IIIB, alive, 2645 days
2082.7
TCGA-W4-A7U4-01A
0 years, male, white, stage:'--, alive, 738 days
2047.2
TCGA-2G-AAKG-01A
0 years, male, white, stage:Stage I, alive, 6598 days
2043.7
TCGA-VF-A8A8-01A
0 years, male, white, stage:Stage IA, alive, 1131 days
1959.5
TCGA-2G-AAGZ-01A
0 years, male, white, stage:Stage IIIA, alive, 5233 days
1833.1
TCGA-2G-AAGJ-01A
0 years, male, black or african american, stage:Stage IA, alive, 2938 days
1787.2
TCGA-2G-AAGO-01A
0 years, male, white, stage:Stage IS, alive, 4026 days
1697.6
TCGA-2G-AAFY-01A
0 years, male, white, stage:Stage IIA, alive, 1099 days
1496.5
TCGA-YU-A90Y-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 17 days
1469.7
TCGA-2G-AAGC-01A
0 years, male, white, stage:Stage IS, alive, 2585 days
1389.5
TCGA-2G-AAFI-01A
0 years, male, white, stage:Stage IB, alive, 675 days
1354.2
TCGA-XE-A8H1-01A
0 years, male, white, stage:Stage IS, alive, 209 days
1189.6
TCGA-2G-AAFO-01A
0 years, male, white, stage:Stage IIA, alive, 685 days
1003.5
TCGA-XE-AAOB-01A
0 years, male, white, stage:Stage IS, dead, 513 days
985.2
TCGA-VF-A8AD-01A
0 years, male, white, stage:Stage IB, alive, 1006 days
899.4
TCGA-2G-AAKH-01A
0 years, male, white, stage:Stage II, alive, 6862 days
807.2
TCGA-2G-AAGI-01A
0 years, male, white, stage:Stage IS, alive, 3137 days
670.3
TCGA-SN-A84X-01A
0 years, male, white, stage:Stage IS, alive, 312 days
652.0
TCGA-ZM-AA05-01A
0 years, male, white, stage:Stage IIC, alive, 1126 days
634.2
TCGA-2G-AAH2-01A
0 years, male, white, stage:Stage IS, alive, 6060 days
582.0
TCGA-VF-A8AB-01A
0 years, male, black or african american, stage:Stage IA, alive, 760 days
563.9
TCGA-XE-AANJ-01A
0 years, male, white, stage:Stage IS, alive, 2007 days
489.8
TCGA-S6-A8JX-01A
0 years, male, white, stage:Stage IB, alive, 552 days
447.0
TCGA-2G-AAEX-01A
0 years, male, white, stage:Stage IS, alive, 1259 days
430.0
TCGA-XE-A9SE-01A
0 years, male, white, stage:Stage IA, alive, 708 days
428.5
TCGA-SB-A76C-01A
0 years, male, white, stage:'--, alive, 42 days
419.1
TCGA-XE-AAO3-01A
0 years, male, asian, stage:Stage I, alive, 2857 days
418.8
TCGA-2G-AAGP-01A
0 years, male, white, stage:Stage IIA, alive, 4018 days
409.5
TCGA-2G-AAHG-01A
0 years, male, white, stage:Stage I, alive, 1819 days
400.3
TCGA-S6-A8JY-01A
0 years, male, white, stage:Stage IS, alive, 278 days
394.1
TCGA-2G-AAHP-01A
0 years, male, white, stage:Stage IS, alive, 5667 days
325.6
TCGA-SN-A6IS-01A
0 years, male, white, stage:Stage IS, alive, 496 days
320.9
TCGA-2G-AAGX-01A
0 years, male, white, stage:Stage IA, alive, 5514 days
317.2
TCGA-4K-AA1G-01A
0 years, male, white, stage:Stage IS, alive, 436 days
301.4
TCGA-4K-AAAL-01A
0 years, male, white, stage:Stage IS, alive, 483 days
280.3
TCGA-2G-AAFG-01A
0 years, male, white, stage:Stage IS, alive, 6183 days
280.2
TCGA-VF-A8AE-01A
0 years, male, white, stage:Stage IA, alive, 727 days
272.8
TCGA-2G-AAGG-01A
0 years, male, white, stage:Stage IIIC, alive, 2611 days
238.9
TCGA-2G-AAFZ-01A
0 years, male, white, stage:Stage III, alive, 1353 days
231.1
TCGA-2G-AAFE-01A
0 years, male, white, stage:Stage IIA, alive, 4702 days
225.1
TCGA-2G-AAH8-01A
0 years, male, white, stage:Stage IIIC, alive, 2248 days
220.8
TCGA-2G-AAHL-01A
0 years, male, white, stage:Stage I, alive, 7081 days
216.4
TCGA-VF-A8A9-01A
0 years, male, white, stage:Stage IA, alive, 1119 days
216.3
TCGA-2G-AAF8-01A
0 years, male, white, stage:Stage IA, alive, 3911 days
213.9
TCGA-XE-AAO6-01A
0 years, male, white, stage:Stage IA, alive, 240 days
205.1
TCGA-W4-A7U2-01A
0 years, male, white, stage:'--, alive, 1263 days
203.3
TCGA-YU-AA61-01A
0 years, male, white, stage:Stage IS, alive, 864 days
198.5
TCGA-2G-AAGT-01A
0 years, male, white, stage:Stage IS, alive, 4406 days
193.9
TCGA-XE-A8H4-01A
0 years, male, white, stage:Stage IA, alive, 559 days
190.4
TCGA-2G-AAH0-01A
0 years, male, white, stage:Stage IS, alive, 5477 days
190.2
TCGA-YU-A912-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 866 days
181.7
TCGA-2G-AAGV-01A
0 years, male, white, stage:'--, alive, 4527 days
177.5
TCGA-2G-AAFH-01A
0 years, male, white, stage:Stage IIB, alive, 1375 days
176.4
TCGA-XE-A8H5-01A
0 years, male, stage:Stage IS, alive, 1217 days
171.8
TCGA-WZ-A7V3-01A
0 years, male, white, stage:Stage I, alive, 753 days
160.6
TCGA-2G-AAHC-01A
0 years, male, white, stage:Stage IS, alive, 5539 days
160.4
TCGA-ZM-AA06-01A
0 years, male, white, stage:Stage IB, alive, 1498 days
158.6
TCGA-YU-A90Q-01A
0 years, male, stage:Stage IB, alive, 1964 days
153.4
TCGA-SO-A8JP-01A
0 years, male, white, stage:Stage I, alive, 540 days
148.4
TCGA-XE-AANV-01A
0 years, male, stage:Stage IB, alive, 1701 days
147.5
TCGA-2G-AAGM-01A
0 years, male, white, stage:Stage IS, alive, 3891 days
145.5
TCGA-ZM-AA0B-01A
0 years, male, white, stage:Stage IA, alive, 838 days
144.8
TCGA-2G-AAF4-01A
0 years, male, white, stage:Stage I, alive, 2315 days
144.8
TCGA-ZM-AA0N-01A
0 years, male, white, stage:Stage IB, alive, 634 days
141.8
TCGA-VF-A8AA-01A
0 years, male, white, stage:Stage I, alive, 1146 days
138.7
TCGA-W4-A7U3-01A
0 years, male, white, stage:'--, alive, 149 days
138.1
TCGA-4K-AA1H-01A
0 years, male, white, stage:Stage IA, alive, 518 days
136.0
TCGA-2G-AAHN-01A
0 years, male, white, stage:Stage I, alive, 6445 days
132.2
TCGA-ZM-AA0E-01A
0 years, male, white, stage:Stage IA, alive, 811 days
130.9
TCGA-ZM-AA0F-01A
0 years, male, white, stage:Stage IA, alive, 681 days
130.9
TCGA-2G-AAF6-01A
0 years, male, white, stage:Stage IS, alive, 3491 days
129.7
TCGA-XE-AAOF-01A
0 years, male, asian, stage:Stage IA, alive, 1268 days
128.6
TCGA-YU-AA4L-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 1573 days
128.6
TCGA-XE-AAOD-01A
0 years, male, white, stage:Stage IB, alive, 2058 days
123.7
TCGA-ZM-AA0H-01A
0 years, male, white, stage:Stage IS, alive, 1736 days
123.7
TCGA-WZ-A7V5-01A
0 years, male, white, stage:Stage I, alive, 1061 days
114.5
TCGA-SB-A6J6-01A
0 years, male, white, stage:Stage IA, alive, 413 days
114.0
TCGA-XE-AAOC-01A
0 years, male, white, stage:Stage IA, alive, 270 days
109.0
TCGA-2G-AAHT-01A
0 years, male, white, stage:Stage IS, alive, 542 days
106.3
TCGA-YU-A90W-01A
0 years, male, white, stage:Stage IA, alive, 1113 days
105.6
TCGA-2G-AAG9-01A
0 years, male, white, stage:Stage IIIB, alive, 2234 days
105.2
TCGA-2G-AAG5-01A
0 years, male, white, stage:Stage IS, alive, 2299 days
104.0
TCGA-2G-AAH3-01A
0 years, male, white, stage:Stage I, alive, 1822 days
103.1
TCGA-ZM-AA0D-01A
0 years, male, white, stage:Stage IA, alive, 848 days
102.6
TCGA-WZ-A7V4-01A
0 years, male, white, stage:Stage I, alive, 894 days
102.3
TCGA-WZ-A8D5-01A
0 years, male, white, stage:'--, alive, 774 days
101.5
TCGA-2G-AAF1-01A
0 years, male, asian, stage:Stage IS, alive, 1403 days
93.2
TCGA-2X-A9D6-01A
0 years, male, white, stage:Stage I, alive, 607 days
91.7
TCGA-4K-AA1I-01A
0 years, male, white, stage:Stage IA, alive, 3 days
91.2
TCGA-2G-AAHA-01A
0 years, male, white, stage:Stage IB, alive, 3349 days
89.8
TCGA-2G-AAG6-01A
0 years, male, white, stage:Stage IS, alive, 2231 days
87.6
TCGA-XE-AAO4-01A
0 years, male, white, stage:Stage IA, alive, 367 days
86.6
TCGA-2G-AAEW-01A
0 years, male, white, stage:Stage IS, dead, 618 days
83.9
TCGA-VF-A8AC-01A
0 years, male, white, stage:Stage IA, alive, 1083 days
76.0
TCGA-XY-A9T9-01A
0 years, male, white, stage:Stage IS, alive, 281 days
73.4
TCGA-YU-A90S-01A
0 years, male, white, stage:Stage IA, alive, 971 days
72.7
TCGA-2X-A9D5-01A
0 years, male, white, stage:Stage I, alive, 435 days
61.8
TCGA-XE-AAOL-01A
0 years, male, black or african american, stage:Stage I, alive, 13 days
55.3
TCGA-2G-AAG3-01A
0 years, male, white, stage:Stage IS, alive, 1593 days
54.6
TCGA-SN-A84W-01A
0 years, male, white, stage:Stage IS, alive, 293 days
52.4
TCGA-S6-A8JW-01A
0 years, male, white, stage:Stage IS, alive, 698 days
51.6
TCGA-2G-AAL5-01A
0 years, male, white, stage:Stage I, alive, 7437 days
50.1
TCGA-XE-AANI-01A
0 years, male, white, stage:Stage IS, alive, 1041 days
47.2
TCGA-2G-AAFJ-01A
0 years, male, asian, stage:'--, alive, 792 days
45.7
TCGA-XE-AANR-01A
0 years, male, white, stage:Stage I, alive, 14 days
44.0
TCGA-2G-AAH4-01A
0 years, male, white, stage:Stage II, alive, 6210 days
43.5
TCGA-2G-AAGY-01A
0 years, male, white, stage:Stage IS, alive, 5329 days
36.6
TCGA-YU-A94I-01A
0 years, male, stage:Stage IA, alive, 536 days
32.0
TCGA-2G-AAFV-01A
0 years, male, white, stage:Stage IS, alive, 1389 days
30.0
TCGA-YU-A94D-01A
0 years, male, stage:Stage IIIB, alive, 2167 days
25.1
TCGA-XY-A89B-01A
0 years, male, white, stage:Stage IA, alive, 471 days
22.5
TCGA-XE-AAOJ-01A
0 years, male, white, stage:Stage IS, alive, 1550 days
18.8
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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
