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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.
QSOX1 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
119.3
Number of samples
133
Samples
Sample
Description
TPM
TCGA-2G-AAHT-01A
0 years, male, white, stage:Stage IS, alive, 542 days
452.0
TCGA-XE-AAOF-01A
0 years, male, asian, stage:Stage IA, alive, 1268 days
415.1
TCGA-2G-AAHN-01A
0 years, male, white, stage:Stage I, alive, 6445 days
303.2
TCGA-WZ-A7V3-01A
0 years, male, white, stage:Stage I, alive, 753 days
301.3
TCGA-ZM-AA0D-01A
0 years, male, white, stage:Stage IA, alive, 848 days
281.7
TCGA-4K-AA1G-01A
0 years, male, white, stage:Stage IS, alive, 436 days
278.2
TCGA-2G-AAF1-01A
0 years, male, asian, stage:Stage IS, alive, 1403 days
267.0
TCGA-2G-AAFL-01A
0 years, male, white, stage:Stage IB, alive, 750 days
265.5
TCGA-4K-AAAL-01A
0 years, male, white, stage:Stage IS, alive, 483 days
250.8
TCGA-2G-AAFV-01A
0 years, male, white, stage:Stage IS, alive, 1389 days
250.0
TCGA-VF-A8AA-01A
0 years, male, white, stage:Stage I, alive, 1146 days
248.2
TCGA-2G-AAEW-01A
0 years, male, white, stage:Stage IS, dead, 618 days
229.7
TCGA-2G-AAFE-01A
0 years, male, white, stage:Stage IIA, alive, 4702 days
229.4
TCGA-2G-AAHA-01A
0 years, male, white, stage:Stage IB, alive, 3349 days
222.9
TCGA-2X-A9D6-01A
0 years, male, white, stage:Stage I, alive, 607 days
217.4
TCGA-XE-AAO4-01A
0 years, male, white, stage:Stage IA, alive, 367 days
214.7
TCGA-XE-AANV-01A
0 years, male, stage:Stage IB, alive, 1701 days
214.6
TCGA-2G-AAH3-01A
0 years, male, white, stage:Stage I, alive, 1822 days
212.4
TCGA-ZM-AA05-01A
0 years, male, white, stage:Stage IIC, alive, 1126 days
209.5
TCGA-W4-A7U3-01A
0 years, male, white, stage:'--, alive, 149 days
203.3
TCGA-2G-AAFO-01A
0 years, male, white, stage:Stage IIA, alive, 685 days
197.6
TCGA-2G-AAGE-01A
0 years, male, white, stage:Stage IS, alive, 2478 days
196.2
TCGA-XE-AANJ-01A
0 years, male, white, stage:Stage IS, alive, 2007 days
188.6
TCGA-YU-A94I-01A
0 years, male, stage:Stage IA, alive, 536 days
185.8
TCGA-SB-A76C-01A
0 years, male, white, stage:'--, alive, 42 days
185.0
TCGA-VF-A8AB-01A
0 years, male, black or african american, stage:Stage IA, alive, 760 days
182.3
TCGA-VF-A8AC-01A
0 years, male, white, stage:Stage IA, alive, 1083 days
180.6
TCGA-2G-AAGP-01A
0 years, male, white, stage:Stage IIA, alive, 4018 days
157.6
TCGA-YU-A90Q-01A
0 years, male, stage:Stage IB, alive, 1964 days
155.4
TCGA-2G-AAGT-01A
0 years, male, white, stage:Stage IS, alive, 4406 days
155.3
TCGA-WZ-A7V4-01A
0 years, male, white, stage:Stage I, alive, 894 days
151.3
TCGA-SN-A84W-01A
0 years, male, white, stage:Stage IS, alive, 293 days
150.9
TCGA-SO-A8JP-01A
0 years, male, white, stage:Stage I, alive, 540 days
146.0
TCGA-XE-AANR-01A
0 years, male, white, stage:Stage I, alive, 14 days
146.0
TCGA-2G-AAGV-01A
0 years, male, white, stage:'--, alive, 4527 days
139.3
TCGA-2G-AAFJ-01A
0 years, male, asian, stage:'--, alive, 792 days
138.8
TCGA-2G-AAHG-01A
0 years, male, white, stage:Stage I, alive, 1819 days
134.6
TCGA-2G-AAGX-01A
0 years, male, white, stage:Stage IA, alive, 5514 days
131.7
TCGA-2G-AAH8-01A
0 years, male, white, stage:Stage IIIC, alive, 2248 days
130.7
TCGA-2G-AAGN-01A
0 years, male, white, stage:Stage IIIB, alive, 3656 days
125.2
TCGA-YU-A90S-01A
0 years, male, white, stage:Stage IA, alive, 971 days
124.7
TCGA-2G-AAKM-01A
0 years, male, white, stage:Stage II, dead, 6972 days
124.0
TCGA-2G-AAGA-01A
0 years, male, white, stage:Stage IIA, alive, 2439 days
118.8
TCGA-2G-AAG8-01A
0 years, male, white, stage:Stage IB, alive, 2289 days
118.5
TCGA-2G-AAHL-01A
0 years, male, white, stage:Stage I, alive, 7081 days
118.5
TCGA-SN-A6IS-01A
0 years, male, white, stage:Stage IS, alive, 496 days
116.7
TCGA-YU-AA4L-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 1573 days
116.7
TCGA-2G-AAF6-01A
0 years, male, white, stage:Stage IS, alive, 3491 days
116.5
TCGA-2G-AAKG-01A
0 years, male, white, stage:Stage I, alive, 6598 days
116.4
TCGA-4K-AA1H-01A
0 years, male, white, stage:Stage IA, alive, 518 days
112.7
TCGA-SN-A84X-01A
0 years, male, white, stage:Stage IS, alive, 312 days
110.8
TCGA-XE-AANI-01A
0 years, male, white, stage:Stage IS, alive, 1041 days
110.2
TCGA-2G-AAKL-01A
0 years, male, white, stage:Stage II, alive, 7023 days
109.3
TCGA-VF-A8A9-01A
0 years, male, white, stage:Stage IA, alive, 1119 days
109.1
TCGA-2G-AAH4-01A
0 years, male, white, stage:Stage II, alive, 6210 days
109.1
TCGA-XE-AAOC-01A
0 years, male, white, stage:Stage IA, alive, 270 days
108.5
TCGA-2X-A9D5-01A
0 years, male, white, stage:Stage I, alive, 435 days
107.2
TCGA-2G-AAG6-01A
0 years, male, white, stage:Stage IS, alive, 2231 days
107.1
TCGA-2G-AAGI-01A
0 years, male, white, stage:Stage IS, alive, 3137 days
107.1
TCGA-2G-AAHC-01A
0 years, male, white, stage:Stage IS, alive, 5539 days
105.9
TCGA-2G-AAG5-01A
0 years, male, white, stage:Stage IS, alive, 2299 days
105.5
TCGA-YU-A94D-01A
0 years, male, stage:Stage IIIB, alive, 2167 days
103.9
TCGA-2G-AAGF-01A
0 years, male, white, stage:Stage IS, alive, 2734 days
101.8
TCGA-2G-AAH0-01A
0 years, male, white, stage:Stage IS, alive, 5477 days
101.4
TCGA-2G-AAGZ-01A
0 years, male, white, stage:Stage IIIA, alive, 5233 days
101.0
TCGA-2G-AAGG-01A
0 years, male, white, stage:Stage IIIC, alive, 2611 days
98.5
TCGA-VF-A8A8-01A
0 years, male, white, stage:Stage IA, alive, 1131 days
97.1
TCGA-2G-AAL5-01A
0 years, male, white, stage:Stage I, alive, 7437 days
96.6
TCGA-2G-AAFM-01A
0 years, male, white, stage:Stage IIA, alive, 503 days
95.4
TCGA-2G-AAG0-01A
0 years, male, white, stage:Stage IS, alive, 1529 days
94.0
TCGA-2G-AAH2-01A
0 years, male, white, stage:Stage IS, alive, 6060 days
94.0
TCGA-X3-A8G4-01A
0 years, male, white, stage:Stage IS, alive, 856 days
92.3
TCGA-2G-AAFN-01A
0 years, male, white, stage:Stage IIIB, alive, 773 days
89.9
TCGA-2G-AAG3-01A
0 years, male, white, stage:Stage IS, alive, 1593 days
89.6
TCGA-XY-A9T9-01A
0 years, male, white, stage:Stage IS, alive, 281 days
88.5
TCGA-SN-A84Y-01A
0 years, male, white, stage:Stage IS, alive, 524 days
88.0
TCGA-XE-AAOD-01A
0 years, male, white, stage:Stage IB, alive, 2058 days
86.6
TCGA-2G-AAFY-01A
0 years, male, white, stage:Stage IIA, alive, 1099 days
85.7
TCGA-2G-AAKH-01A
0 years, male, white, stage:Stage II, alive, 6862 days
83.3
TCGA-2G-AAL7-01A
0 years, male, white, stage:Stage IS, alive, 3991 days
83.1
TCGA-2G-AALP-01A
0 years, male, white, stage:Stage IIIB, alive, 2645 days
82.4
TCGA-2G-AAF4-01A
0 years, male, white, stage:Stage I, alive, 2315 days
82.2
TCGA-ZM-AA0F-01A
0 years, male, white, stage:Stage IA, alive, 681 days
81.7
TCGA-YU-A90W-01A
0 years, male, white, stage:Stage IA, alive, 1113 days
81.6
TCGA-XE-A8H4-01A
0 years, male, white, stage:Stage IA, alive, 559 days
80.9
TCGA-XY-A89B-01A
0 years, male, white, stage:Stage IA, alive, 471 days
80.1
TCGA-XE-AAO6-01A
0 years, male, white, stage:Stage IA, alive, 240 days
79.8
TCGA-2G-AAFI-01A
0 years, male, white, stage:Stage IB, alive, 675 days
79.7
TCGA-2G-AAGS-01A
0 years, male, white, stage:Stage IIIB, alive, 4816 days
79.6
TCGA-S6-A8JW-01A
0 years, male, white, stage:Stage IS, alive, 698 days
79.6
TCGA-YU-A912-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 866 days
79.3
TCGA-2G-AAGC-01A
0 years, male, white, stage:Stage IS, alive, 2585 days
79.2
TCGA-2G-AAGK-01A
0 years, male, white, stage:Stage IS, alive, 3621 days
78.7
TCGA-2G-AAGM-01A
0 years, male, white, stage:Stage IS, alive, 3891 days
78.4
TCGA-VF-A8AE-01A
0 years, male, white, stage:Stage IA, alive, 727 days
77.7
TCGA-2G-AAFZ-01A
0 years, male, white, stage:Stage III, alive, 1353 days
77.6
TCGA-S6-A8JY-01A
0 years, male, white, stage:Stage IS, alive, 278 days
77.5
TCGA-ZM-AA0E-01A
0 years, male, white, stage:Stage IA, alive, 811 days
76.4
TCGA-ZM-AA0H-01A
0 years, male, white, stage:Stage IS, alive, 1736 days
75.1
TCGA-YU-A90P-01A
0 years, male, white, stage:Stage IA, alive, 2069 days
73.4
TCGA-XE-A8H1-01A
0 years, male, white, stage:Stage IS, alive, 209 days
70.7
TCGA-2G-AAF8-01A
0 years, male, white, stage:Stage IA, alive, 3911 days
70.4
TCGA-2G-AAGY-01A
0 years, male, white, stage:Stage IS, alive, 5329 days
69.2
TCGA-YU-A90Y-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 17 days
68.4
TCGA-XE-A9SE-01A
0 years, male, white, stage:Stage IA, alive, 708 days
68.4
TCGA-W4-A7U2-01A
0 years, male, white, stage:'--, alive, 1263 days
66.8
TCGA-VF-A8AD-01A
0 years, male, white, stage:Stage IB, alive, 1006 days
64.7
TCGA-2G-AAGW-01A
0 years, male, white, stage:Stage IS, alive, 4899 days
63.2
TCGA-2G-AAG9-01A
0 years, male, white, stage:Stage IIIB, alive, 2234 days
61.5
TCGA-2G-AAGJ-01A
0 years, male, black or african american, stage:Stage IA, alive, 2938 days
61.2
TCGA-ZM-AA0B-01A
0 years, male, white, stage:Stage IA, alive, 838 days
60.8
TCGA-XE-AAOJ-01A
0 years, male, white, stage:Stage IS, alive, 1550 days
59.4
TCGA-4K-AA1I-01A
0 years, male, white, stage:Stage IA, alive, 3 days
58.9
TCGA-2G-AAG7-01A
0 years, male, white, stage:Stage IS, alive, 2475 days
56.9
TCGA-WZ-A8D5-01A
0 years, male, white, stage:'--, alive, 774 days
54.6
TCGA-W4-A7U4-01A
0 years, male, white, stage:'--, alive, 738 days
52.2
TCGA-XE-AAOB-01A
0 years, male, white, stage:Stage IS, dead, 513 days
51.8
TCGA-SB-A6J6-01A
0 years, male, white, stage:Stage IA, alive, 413 days
50.0
TCGA-S6-A8JX-01A
0 years, male, white, stage:Stage IB, alive, 552 days
49.8
TCGA-2G-AAFG-01A
0 years, male, white, stage:Stage IS, alive, 6183 days
49.8
TCGA-XE-AAO3-01A
0 years, male, asian, stage:Stage I, alive, 2857 days
48.1
TCGA-2G-AAHP-01A
0 years, male, white, stage:Stage IS, alive, 5667 days
47.0
TCGA-XY-A8S2-01A
0 years, male, white, stage:Stage I, alive, 672 days
46.1
TCGA-2G-AAFH-01A
0 years, male, white, stage:Stage IIB, alive, 1375 days
44.3
TCGA-ZM-AA06-01A
0 years, male, white, stage:Stage IB, alive, 1498 days
43.5
TCGA-WZ-A7V5-01A
0 years, male, white, stage:Stage I, alive, 1061 days
42.0
TCGA-2G-AAEX-01A
0 years, male, white, stage:Stage IS, alive, 1259 days
41.7
TCGA-YU-AA61-01A
0 years, male, white, stage:Stage IS, alive, 864 days
40.7
TCGA-XE-A8H5-01A
0 years, male, stage:Stage IS, alive, 1217 days
37.0
TCGA-2G-AAGO-01A
0 years, male, white, stage:Stage IS, alive, 4026 days
35.3
TCGA-ZM-AA0N-01A
0 years, male, white, stage:Stage IB, alive, 634 days
29.0
TCGA-2G-AAKD-01A
0 years, male, white, stage:Stage III, alive, 6340 days
27.4
TCGA-XE-AAOL-01A
0 years, male, black or african american, stage:Stage I, alive, 13 days
7.6
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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
