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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.
IGLV2-14 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
544.2
Number of samples
133
Samples
Sample
Description
TPM
TCGA-XE-AAOB-01A
0 years, male, white, stage:Stage IS, dead, 513 days
22083.9
TCGA-2G-AAGI-01A
0 years, male, white, stage:Stage IS, alive, 3137 days
3487.5
TCGA-2G-AAFH-01A
0 years, male, white, stage:Stage IIB, alive, 1375 days
3282.6
TCGA-XE-AAOD-01A
0 years, male, white, stage:Stage IB, alive, 2058 days
2560.8
TCGA-2G-AAF8-01A
0 years, male, white, stage:Stage IA, alive, 3911 days
2522.1
TCGA-WZ-A8D5-01A
0 years, male, white, stage:'--, alive, 774 days
2087.4
TCGA-2G-AAGP-01A
0 years, male, white, stage:Stage IIA, alive, 4018 days
2000.7
TCGA-2G-AAGZ-01A
0 years, male, white, stage:Stage IIIA, alive, 5233 days
1902.5
TCGA-2G-AAGJ-01A
0 years, male, black or african american, stage:Stage IA, alive, 2938 days
1575.9
TCGA-WZ-A7V5-01A
0 years, male, white, stage:Stage I, alive, 1061 days
1353.2
TCGA-4K-AA1H-01A
0 years, male, white, stage:Stage IA, alive, 518 days
1137.2
TCGA-WZ-A7V3-01A
0 years, male, white, stage:Stage I, alive, 753 days
1106.5
TCGA-2X-A9D5-01A
0 years, male, white, stage:Stage I, alive, 435 days
1066.1
TCGA-VF-A8AA-01A
0 years, male, white, stage:Stage I, alive, 1146 days
1035.5
TCGA-2G-AAF4-01A
0 years, male, white, stage:Stage I, alive, 2315 days
1023.4
TCGA-XY-A8S2-01A
0 years, male, white, stage:Stage I, alive, 672 days
1014.9
TCGA-2G-AAF1-01A
0 years, male, asian, stage:Stage IS, alive, 1403 days
887.0
TCGA-2G-AAEX-01A
0 years, male, white, stage:Stage IS, alive, 1259 days
864.8
TCGA-WZ-A7V4-01A
0 years, male, white, stage:Stage I, alive, 894 days
773.6
TCGA-2G-AAG9-01A
0 years, male, white, stage:Stage IIIB, alive, 2234 days
725.3
TCGA-2G-AAGY-01A
0 years, male, white, stage:Stage IS, alive, 5329 days
706.4
TCGA-W4-A7U3-01A
0 years, male, white, stage:'--, alive, 149 days
614.8
TCGA-XE-AANV-01A
0 years, male, stage:Stage IB, alive, 1701 days
597.2
TCGA-XY-A9T9-01A
0 years, male, white, stage:Stage IS, alive, 281 days
588.0
TCGA-SN-A6IS-01A
0 years, male, white, stage:Stage IS, alive, 496 days
575.1
TCGA-2G-AAKH-01A
0 years, male, white, stage:Stage II, alive, 6862 days
562.9
TCGA-XE-AAOF-01A
0 years, male, asian, stage:Stage IA, alive, 1268 days
561.3
TCGA-4K-AA1I-01A
0 years, male, white, stage:Stage IA, alive, 3 days
552.3
TCGA-XE-A8H4-01A
0 years, male, white, stage:Stage IA, alive, 559 days
550.7
TCGA-YU-A90Q-01A
0 years, male, stage:Stage IB, alive, 1964 days
488.1
TCGA-2G-AAHA-01A
0 years, male, white, stage:Stage IB, alive, 3349 days
482.7
TCGA-YU-A94D-01A
0 years, male, stage:Stage IIIB, alive, 2167 days
467.0
TCGA-4K-AAAL-01A
0 years, male, white, stage:Stage IS, alive, 483 days
456.9
TCGA-2G-AAH4-01A
0 years, male, white, stage:Stage II, alive, 6210 days
442.8
TCGA-YU-A912-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 866 days
424.5
TCGA-VF-A8AD-01A
0 years, male, white, stage:Stage IB, alive, 1006 days
422.6
TCGA-2G-AAFG-01A
0 years, male, white, stage:Stage IS, alive, 6183 days
415.6
TCGA-2X-A9D6-01A
0 years, male, white, stage:Stage I, alive, 607 days
405.7
TCGA-YU-A90S-01A
0 years, male, white, stage:Stage IA, alive, 971 days
402.9
TCGA-SB-A6J6-01A
0 years, male, white, stage:Stage IA, alive, 413 days
393.4
TCGA-XE-A8H5-01A
0 years, male, stage:Stage IS, alive, 1217 days
368.1
TCGA-W4-A7U2-01A
0 years, male, white, stage:'--, alive, 1263 days
367.3
TCGA-2G-AAHG-01A
0 years, male, white, stage:Stage I, alive, 1819 days
351.3
TCGA-YU-AA61-01A
0 years, male, white, stage:Stage IS, alive, 864 days
350.8
TCGA-2G-AAH3-01A
0 years, male, white, stage:Stage I, alive, 1822 days
341.1
TCGA-ZM-AA0N-01A
0 years, male, white, stage:Stage IB, alive, 634 days
338.0
TCGA-X3-A8G4-01A
0 years, male, white, stage:Stage IS, alive, 856 days
333.7
TCGA-2G-AAFY-01A
0 years, male, white, stage:Stage IIA, alive, 1099 days
297.6
TCGA-XE-A9SE-01A
0 years, male, white, stage:Stage IA, alive, 708 days
295.2
TCGA-VF-A8AE-01A
0 years, male, white, stage:Stage IA, alive, 727 days
290.2
TCGA-2G-AAF6-01A
0 years, male, white, stage:Stage IS, alive, 3491 days
251.6
TCGA-SN-A84X-01A
0 years, male, white, stage:Stage IS, alive, 312 days
245.3
TCGA-VF-A8A9-01A
0 years, male, white, stage:Stage IA, alive, 1119 days
245.2
TCGA-XE-AAO4-01A
0 years, male, white, stage:Stage IA, alive, 367 days
239.2
TCGA-VF-A8AB-01A
0 years, male, black or african american, stage:Stage IA, alive, 760 days
238.9
TCGA-XY-A89B-01A
0 years, male, white, stage:Stage IA, alive, 471 days
234.5
TCGA-2G-AAHN-01A
0 years, male, white, stage:Stage I, alive, 6445 days
211.5
TCGA-XE-AANI-01A
0 years, male, white, stage:Stage IS, alive, 1041 days
206.7
TCGA-ZM-AA0H-01A
0 years, male, white, stage:Stage IS, alive, 1736 days
189.0
TCGA-2G-AAFL-01A
0 years, male, white, stage:Stage IB, alive, 750 days
183.3
TCGA-S6-A8JY-01A
0 years, male, white, stage:Stage IS, alive, 278 days
178.7
TCGA-XE-AANR-01A
0 years, male, white, stage:Stage I, alive, 14 days
165.5
TCGA-S6-A8JW-01A
0 years, male, white, stage:Stage IS, alive, 698 days
164.5
TCGA-2G-AAH8-01A
0 years, male, white, stage:Stage IIIC, alive, 2248 days
163.9
TCGA-2G-AAFE-01A
0 years, male, white, stage:Stage IIA, alive, 4702 days
162.5
TCGA-2G-AALP-01A
0 years, male, white, stage:Stage IIIB, alive, 2645 days
152.8
TCGA-2G-AAG3-01A
0 years, male, white, stage:Stage IS, alive, 1593 days
144.9
TCGA-2G-AAFV-01A
0 years, male, white, stage:Stage IS, alive, 1389 days
134.7
TCGA-ZM-AA0B-01A
0 years, male, white, stage:Stage IA, alive, 838 days
134.3
TCGA-2G-AAGG-01A
0 years, male, white, stage:Stage IIIC, alive, 2611 days
119.5
TCGA-2G-AAFM-01A
0 years, male, white, stage:Stage IIA, alive, 503 days
119.1
TCGA-2G-AAGM-01A
0 years, male, white, stage:Stage IS, alive, 3891 days
113.1
TCGA-SB-A76C-01A
0 years, male, white, stage:'--, alive, 42 days
112.7
TCGA-2G-AAG0-01A
0 years, male, white, stage:Stage IS, alive, 1529 days
110.7
TCGA-XE-AANJ-01A
0 years, male, white, stage:Stage IS, alive, 2007 days
103.0
TCGA-ZM-AA0D-01A
0 years, male, white, stage:Stage IA, alive, 848 days
101.3
TCGA-2G-AAGT-01A
0 years, male, white, stage:Stage IS, alive, 4406 days
101.1
TCGA-2G-AAFZ-01A
0 years, male, white, stage:Stage III, alive, 1353 days
99.4
TCGA-ZM-AA0E-01A
0 years, male, white, stage:Stage IA, alive, 811 days
98.7
TCGA-2G-AAGA-01A
0 years, male, white, stage:Stage IIA, alive, 2439 days
98.5
TCGA-ZM-AA0F-01A
0 years, male, white, stage:Stage IA, alive, 681 days
93.4
TCGA-2G-AAGC-01A
0 years, male, white, stage:Stage IS, alive, 2585 days
88.5
TCGA-2G-AAKG-01A
0 years, male, white, stage:Stage I, alive, 6598 days
85.4
TCGA-2G-AAGK-01A
0 years, male, white, stage:Stage IS, alive, 3621 days
83.0
TCGA-2G-AAFO-01A
0 years, male, white, stage:Stage IIA, alive, 685 days
78.7
TCGA-2G-AAHC-01A
0 years, male, white, stage:Stage IS, alive, 5539 days
73.2
TCGA-2G-AAFJ-01A
0 years, male, asian, stage:'--, alive, 792 days
70.2
TCGA-YU-A90P-01A
0 years, male, white, stage:Stage IA, alive, 2069 days
69.3
TCGA-XE-AAOL-01A
0 years, male, black or african american, stage:Stage I, alive, 13 days
67.5
TCGA-YU-A90W-01A
0 years, male, white, stage:Stage IA, alive, 1113 days
67.1
TCGA-2G-AAHT-01A
0 years, male, white, stage:Stage IS, alive, 542 days
66.6
TCGA-VF-A8AC-01A
0 years, male, white, stage:Stage IA, alive, 1083 days
54.3
TCGA-2G-AAH2-01A
0 years, male, white, stage:Stage IS, alive, 6060 days
54.1
TCGA-ZM-AA06-01A
0 years, male, white, stage:Stage IB, alive, 1498 days
53.5
TCGA-2G-AAFI-01A
0 years, male, white, stage:Stage IB, alive, 675 days
51.9
TCGA-2G-AAGO-01A
0 years, male, white, stage:Stage IS, alive, 4026 days
49.7
TCGA-2G-AAHL-01A
0 years, male, white, stage:Stage I, alive, 7081 days
46.7
TCGA-2G-AAFN-01A
0 years, male, white, stage:Stage IIIB, alive, 773 days
45.7
TCGA-2G-AAH0-01A
0 years, male, white, stage:Stage IS, alive, 5477 days
42.3
TCGA-2G-AAEW-01A
0 years, male, white, stage:Stage IS, dead, 618 days
42.1
TCGA-XE-AAO3-01A
0 years, male, asian, stage:Stage I, alive, 2857 days
41.5
TCGA-YU-A90Y-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 17 days
30.8
TCGA-2G-AAG7-01A
0 years, male, white, stage:Stage IS, alive, 2475 days
30.3
TCGA-W4-A7U4-01A
0 years, male, white, stage:'--, alive, 738 days
28.3
TCGA-2G-AAKL-01A
0 years, male, white, stage:Stage II, alive, 7023 days
27.9
TCGA-XE-A8H1-01A
0 years, male, white, stage:Stage IS, alive, 209 days
26.7
TCGA-XE-AAO6-01A
0 years, male, white, stage:Stage IA, alive, 240 days
25.4
TCGA-XE-AAOC-01A
0 years, male, white, stage:Stage IA, alive, 270 days
22.7
TCGA-SN-A84Y-01A
0 years, male, white, stage:Stage IS, alive, 524 days
18.0
TCGA-SO-A8JP-01A
0 years, male, white, stage:Stage I, alive, 540 days
17.6
TCGA-XE-AAOJ-01A
0 years, male, white, stage:Stage IS, alive, 1550 days
16.6
TCGA-2G-AAHP-01A
0 years, male, white, stage:Stage IS, alive, 5667 days
14.7
TCGA-VF-A8A8-01A
0 years, male, white, stage:Stage IA, alive, 1131 days
8.3
TCGA-2G-AAG6-01A
0 years, male, white, stage:Stage IS, alive, 2231 days
8.0
TCGA-2G-AAG5-01A
0 years, male, white, stage:Stage IS, alive, 2299 days
6.5
TCGA-2G-AAGV-01A
0 years, male, white, stage:'--, alive, 4527 days
5.0
TCGA-2G-AAGX-01A
0 years, male, white, stage:Stage IA, alive, 5514 days
3.8
TCGA-SN-A84W-01A
0 years, male, white, stage:Stage IS, alive, 293 days
2.9
TCGA-2G-AAL5-01A
0 years, male, white, stage:Stage I, alive, 7437 days
1.5
TCGA-2G-AAGW-01A
0 years, male, white, stage:Stage IS, alive, 4899 days
0.0
TCGA-2G-AAGS-01A
0 years, male, white, stage:Stage IIIB, alive, 4816 days
0.0
TCGA-2G-AAL7-01A
0 years, male, white, stage:Stage IS, alive, 3991 days
0.0
TCGA-2G-AAGN-01A
0 years, male, white, stage:Stage IIIB, alive, 3656 days
0.0
TCGA-2G-AAGF-01A
0 years, male, white, stage:Stage IS, alive, 2734 days
0.0
TCGA-4K-AA1G-01A
0 years, male, white, stage:Stage IS, alive, 436 days
0.0
TCGA-2G-AAKD-01A
0 years, male, white, stage:Stage III, alive, 6340 days
0.0
TCGA-2G-AAG8-01A
0 years, male, white, stage:Stage IB, alive, 2289 days
0.0
TCGA-YU-A94I-01A
0 years, male, stage:Stage IA, alive, 536 days
0.0
TCGA-YU-AA4L-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 1573 days
0.0
TCGA-2G-AAKM-01A
0 years, male, white, stage:Stage II, dead, 6972 days
0.0
TCGA-S6-A8JX-01A
0 years, male, white, stage:Stage IB, alive, 552 days
0.0
TCGA-ZM-AA05-01A
0 years, male, white, stage:Stage IIC, alive, 1126 days
0.0
TCGA-2G-AAGE-01A
0 years, male, white, stage:Stage IS, alive, 2478 days
0.0
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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
