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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.
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 3-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 3-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 median 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
1457.5
Number of samples
153
Samples
Sample
Description
FPKM
TCGA-26-1442-01A
43 years, male, white, alive, 953 days
5645.9
TCGA-19-2620-01A
70 years, male, white, dead, 148 days
4229.5
TCGA-27-1835-01A
53 years, female, white, dead, 648 days
4032.3
TCGA-26-5136-01B
78 years, female, white, dead, 577 days
3783.0
TCGA-06-0141-01A
62 years, male, white, dead, 313 days
3698.6
TCGA-06-2561-01A
53 years, female, white, dead, 537 days
3436.9
TCGA-27-2519-01A
48 years, male, white, dead, 550 days
3260.8
TCGA-06-0882-01A
30 years, male, white, dead, 632 days
3256.2
TCGA-06-1804-01A
81 years, female, white, dead, 414 days
3103.3
TCGA-26-5134-01A
74 years, male, white, alive, 167 days
2994.1
TCGA-19-2625-01A
76 years, female, white, dead, 124 days
2897.6
TCGA-19-1787-01B
49 years, male, white, dead, 385 days
2889.5
TCGA-06-2557-01A
76 years, male, black or african american, dead, 33 days
2469.1
TCGA-14-0871-01A
75 years, female, white, dead, 880 days
2405.4
TCGA-06-0187-01A
69 years, male, white, dead, 828 days
2395.8
TCGA-06-0649-01B
73 years, female, black or african american, dead, 64 days
2367.1
TCGA-06-0132-01A
49 years, male, white, dead, 771 days
2323.4
TCGA-06-0210-01A
72 years, female, white, dead, 225 days
2307.4
TCGA-41-4097-01A
63 years, female, white, dead, 6 days
2304.9
TCGA-02-0047-01A
78 years, male, white, dead, 448 days
2302.5
TCGA-27-1837-01A
36 years, male, white, dead, 427 days
2245.1
TCGA-06-0168-01A
59 years, female, white, dead, 598 days
2234.2
TCGA-27-1830-01A
57 years, male, white, dead, 154 days
2224.5
TCGA-06-0743-01A
69 years, male, white, dead, 803 days
2174.5
TCGA-06-2570-01A
21 years, female, white, alive, 958 days
2135.0
TCGA-32-2615-01A
62 years, male, white, dead, 485 days
2118.9
TCGA-19-1390-01A
63 years, female, white, dead, 772 days
2104.8
TCGA-16-1045-01B
49 years, female, white, dead, 883 days
2099.9
TCGA-28-1753-01A
53 years, male, white, alive, 37 days
2095.7
TCGA-06-0156-01A
57 years, male, white, dead, 178 days
2065.2
TCGA-06-2562-01A
81 years, male, white, dead, 382 days
1997.7
TCGA-06-0750-01A
43 years, male, white, dead, 28 days
1945.9
TCGA-15-0742-01A
65 years, male, white, dead, 419 days
1934.1
TCGA-32-1982-01A
76 years, female, white, dead, 142 days
1920.0
TCGA-06-0744-01A
67 years, male, white, dead, 1426 days
1909.0
TCGA-12-0619-01A
60 years, male, white, dead, 1062 days
1883.6
TCGA-06-2564-01A
50 years, male, white, alive, 181 days
1880.8
TCGA-14-0789-01A
54 years, male, white, dead, 342 days
1870.2
TCGA-28-2499-01A
59 years, male, white, dead, 95 days
1867.3
TCGA-06-0130-01A
54 years, male, white, dead, 394 days
1844.8
TCGA-06-2558-01A
75 years, female, white, dead, 380 days
1836.8
TCGA-32-1980-01A
72 years, male, white, dead, 36 days
1816.5
TCGA-06-0129-01A
30 years, male, asian, dead, 1024 days
1812.0
TCGA-14-0781-01B
49 years, male, black or african american, dead, 29 days
1783.3
TCGA-41-2571-01A
89 years, male, white, dead, 26 days
1760.3
TCGA-28-1747-01C
44 years, male, white, dead, 77 days
1756.9
TCGA-06-5411-01A
51 years, male, white, dead, 254 days
1748.5
TCGA-76-4929-01A
76 years, female, white, dead, 111 days
1727.0
TCGA-06-0125-01A
63 years, female, white, dead, 1448 days
1726.1
TCGA-32-2638-01A
67 years, male, white, dead, 766 days
1725.9
TCGA-06-2565-01A
59 years, male, asian, dead, 506 days
1719.2
TCGA-15-1444-01A
21 years, male, white, dead, 1537 days
1712.2
TCGA-06-0646-01A
61 years, male, white, dead, 175 days
1688.7
TCGA-76-4926-01B
68 years, male, white, dead, 138 days
1685.8
TCGA-27-1834-01A
56 years, male, white, dead, 1233 days
1658.7
TCGA-19-4065-01A
36 years, male, white, alive, 214 days
1647.7
TCGA-32-2634-01A
82 years, male, white, alive, 693 days
1637.9
TCGA-32-1970-01A
59 years, male, white, dead, 468 days
1626.0
TCGA-06-0745-01A
59 years, male, white, dead, 239 days
1599.9
TCGA-16-0846-01A
85 years, male, white, dead, 119 days
1554.8
TCGA-06-0139-01A
40 years, male, white, dead, 362 days
1550.8
TCGA-27-1832-01A
59 years, female, white, dead, 300 days
1545.3
TCGA-26-5139-01A
65 years, female, white, alive, 48 days
1533.2
TCGA-32-2616-01A
48 years, female, white, dead, 224 days
1531.9
TCGA-06-0749-01A
50 years, male, black or african american, dead, 82 days
1516.9
TCGA-14-0790-01B
64 years, female, white, dead, 419 days
1502.8
TCGA-06-0157-01A
63 years, female, white, dead, 97 days
1501.6
TCGA-26-5135-01A
72 years, female, white, dead, 270 days
1498.0
TCGA-06-2567-01A
65 years, male, white, dead, 133 days
1479.8
TCGA-19-2619-01A
55 years, female, black or african american, alive, 294 days
1401.1
TCGA-27-2528-01A
62 years, male, white, dead, 480 days
1387.2
TCGA-06-0878-01A
74 years, male, white, alive, 218 days
1339.7
TCGA-76-4925-01A
76 years, male, white, dead, 146 days
1337.6
TCGA-06-0645-01A
56 years, female, white, dead, 175 days
1324.5
TCGA-06-0219-01A
67 years, male, white, dead, 22 days
1316.9
TCGA-06-0686-01A
53 years, male, white, dead, 432 days
1303.8
TCGA-06-5416-01A
23 years, female, white, alive, 204 days
1291.4
TCGA-08-0386-01A
74 years, male, white, dead, 548 days
1283.8
TCGA-41-2572-01A
67 years, male, white, dead, 406 days
1274.0
TCGA-06-0238-01A
46 years, male, white, dead, 405 days
1271.0
TCGA-19-2624-01A
51 years, male, white, dead, 5 days
1268.2
TCGA-32-2632-01A
80 years, male, white, dead, 269 days
1219.8
TCGA-06-0138-01A
43 years, male, white, dead, 737 days
1211.9
TCGA-06-0747-01A
53 years, male, white, dead, 82 days
1208.7
TCGA-32-4213-01A
47 years, female, white, alive, 604 days
1195.2
TCGA-14-1034-01A
60 years, female, dead, 485 days
1190.1
TCGA-14-1825-01A
70 years, male, white, dead, 232 days
1168.2
TCGA-14-0787-01A
69 years, male, asian, dead, 68 days
1156.9
TCGA-06-0184-01A
63 years, male, white, dead, 2126 days
1139.1
TCGA-26-5132-01A
74 years, male, white, alive, 286 days
1128.3
TCGA-12-0821-01A
62 years, male, white, dead, 323 days
1127.4
TCGA-06-2563-01A
72 years, female, white, alive, 932 days
1119.0
TCGA-06-5414-01A
61 years, male, white, alive, 273 days
1091.4
TCGA-41-3915-01A
48 years, male, white, dead, 360 days
1074.8
TCGA-12-0616-01A
36 years, female, white, dead, 448 days
1069.4
TCGA-28-2514-01A
45 years, male, asian, alive, 160 days
1029.5
TCGA-06-2559-01A
83 years, male, white, dead, 150 days
1020.7
TCGA-06-0158-01A
73 years, male, white, dead, 329 days
1013.6
TCGA-06-0178-01A
39 years, male, white, dead, 2681 days
1012.6
TCGA-06-5418-01A
75 years, female, white, dead, 83 days
1008.3
TCGA-06-0190-01A
62 years, male, white, dead, 317 days
1001.3
TCGA-02-2483-01A
43 years, male, asian, alive, 466 days
995.6
TCGA-28-2513-01A
69 years, female, white, alive, 222 days
994.3
TCGA-26-5133-01A
59 years, male, white, alive, 452 days
979.3
TCGA-76-4927-01A
58 years, male, white, dead, 535 days
969.9
TCGA-14-1823-01A
58 years, female, white, dead, 543 days
966.7
TCGA-27-2521-01A
34 years, male, white, dead, 510 days
951.7
TCGA-14-2554-01A
52 years, female, white, dead, 532 days
919.5
TCGA-28-5216-01A
52 years, male, white, alive, 415 days
909.7
TCGA-06-5858-01A
45 years, female, white, alive, 187 days
904.8
TCGA-28-5218-01A
63 years, male, white, dead, 157 days
892.8
TCGA-14-0817-01A
69 years, female, white, dead, 164 days
891.4
TCGA-06-5412-01A
78 years, female, white, dead, 138 days
890.9
TCGA-28-5207-01A
71 years, male, white, dead, 343 days
890.1
TCGA-06-5417-01A
45 years, female, white, alive, 155 days
840.5
TCGA-28-5220-01A
67 years, male, white, dead, 388 days
834.2
TCGA-76-4928-01B
85 years, female, white, dead, 94 days
832.4
TCGA-19-2629-01A
60 years, male, white, dead, 737 days
819.4
TCGA-06-5410-01A
72 years, female, white, dead, 108 days
793.9
TCGA-28-5215-01A
62 years, female, white, dead, 335 days
784.8
TCGA-76-4931-01A
70 years, female, white, dead, 279 days
782.7
TCGA-41-5651-01A
59 years, female, black or african american, dead, 460 days
779.1
TCGA-06-2569-01A
24 years, female, black or african american, alive, 13 days
777.7
TCGA-27-2524-01A
56 years, male, white, dead, 231 days
776.5
TCGA-06-0644-01A
71 years, male, black or african american, dead, 384 days
768.0
TCGA-12-0618-01A
49 years, male, white, dead, 395 days
756.2
TCGA-06-0211-01B
47 years, male, white, dead, 360 days
739.2
TCGA-76-4932-01A
50 years, female, white, dead, 1458 days
729.6
TCGA-28-2509-01A
77 years, female, white, alive, 145 days
665.8
TCGA-27-2526-01A
79 years, female, white, dead, 87 days
656.5
TCGA-02-2485-01A
53 years, male, black or african american, alive, 470 days
638.2
TCGA-02-0055-01A
62 years, female, white, dead, 76 days
616.4
TCGA-28-5209-01A
66 years, female, white, alive, 77 days
611.5
TCGA-19-5960-01A
56 years, male, white, dead, 455 days
608.8
TCGA-12-1597-01B
62 years, female, white, dead, 675 days
601.0
TCGA-14-1829-01A
57 years, male, black or african american, alive, 218 days
594.9
TCGA-06-5413-01A
67 years, male, white, alive, 268 days
548.6
TCGA-06-5856-01A
58 years, male, white, dead, 114 days
535.5
TCGA-06-5408-01A
54 years, female, white, dead, 357 days
512.9
TCGA-06-0174-01A
54 years, male, white, dead, 98 days
490.4
TCGA-27-2523-01A
63 years, male, white, dead, 489 days
443.5
TCGA-06-5859-01A
63 years, male, white, alive, 139 days
415.4
TCGA-12-3653-01A
34 years, female, white, dead, 442 days
407.4
TCGA-28-5204-01A
72 years, male, white, dead, 454 days
380.6
TCGA-12-5299-01A
56 years, female, white, dead, 98 days
358.2
TCGA-12-3650-01A
46 years, male, white, dead, 333 days
328.5
TCGA-12-3652-01A
60 years, male, white, dead, 1062 days
311.2
TCGA-27-1831-01A
66 years, male, white, dead, 505 days
306.1
TCGA-02-2486-01A
64 years, male, white, dead, 618 days
297.0
TCGA-28-5208-01A
52 years, male, white, dead, 544 days
293.9
TCGA-32-5222-01A
66 years, male, white, dead, 585 days
256.1
TCGA-28-5213-01A
72 years, male, white, alive, 951 days
220.0
TCGA-12-5295-01A
60 years, female, white, dead, 454 days
206.5
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GLIOMA - 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.