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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
5270.2
Number of samples
153
Samples
Sample
Description
FPKM
TCGA-06-0141-01A
62 years, male, white, dead, 313 days
21167.0
TCGA-06-0238-01A
46 years, male, white, dead, 405 days
14260.6
TCGA-27-1835-01A
53 years, female, white, dead, 648 days
13126.6
TCGA-26-1442-01A
43 years, male, white, alive, 953 days
11377.5
TCGA-06-0743-01A
69 years, male, white, dead, 803 days
11354.1
TCGA-06-0649-01B
73 years, female, black or african american, dead, 64 days
11164.9
TCGA-14-1823-01A
58 years, female, white, dead, 543 days
10245.6
TCGA-06-2561-01A
53 years, female, white, dead, 537 days
10158.9
TCGA-06-0744-01A
67 years, male, white, dead, 1426 days
10065.9
TCGA-06-0184-01A
63 years, male, white, dead, 2126 days
9760.1
TCGA-32-1980-01A
72 years, male, white, dead, 36 days
9529.6
TCGA-06-0132-01A
49 years, male, white, dead, 771 days
9456.2
TCGA-06-0138-01A
43 years, male, white, dead, 737 days
8714.8
TCGA-32-1982-01A
76 years, female, white, dead, 142 days
8629.6
TCGA-27-1830-01A
57 years, male, white, dead, 154 days
8613.1
TCGA-06-0750-01A
43 years, male, white, dead, 28 days
8534.8
TCGA-06-0882-01A
30 years, male, white, dead, 632 days
8348.0
TCGA-12-0616-01A
36 years, female, white, dead, 448 days
8177.6
TCGA-19-2625-01A
76 years, female, white, dead, 124 days
8175.5
TCGA-06-0219-01A
67 years, male, white, dead, 22 days
8003.4
TCGA-14-0871-01A
75 years, female, white, dead, 880 days
7993.8
TCGA-06-1804-01A
81 years, female, white, dead, 414 days
7979.4
TCGA-27-1837-01A
36 years, male, white, dead, 427 days
7937.5
TCGA-27-2519-01A
48 years, male, white, dead, 550 days
7847.2
TCGA-06-0646-01A
61 years, male, white, dead, 175 days
7844.8
TCGA-06-0210-01A
72 years, female, white, dead, 225 days
7804.2
TCGA-06-2570-01A
21 years, female, white, alive, 958 days
7685.1
TCGA-27-1832-01A
59 years, female, white, dead, 300 days
7628.9
TCGA-06-0749-01A
50 years, male, black or african american, dead, 82 days
7570.2
TCGA-32-2616-01A
48 years, female, white, dead, 224 days
7497.0
TCGA-26-5136-01B
78 years, female, white, dead, 577 days
7335.1
TCGA-19-2620-01A
70 years, male, white, dead, 148 days
7325.3
TCGA-06-0168-01A
59 years, female, white, dead, 598 days
7308.8
TCGA-19-4065-01A
36 years, male, white, alive, 214 days
7303.4
TCGA-02-2483-01A
43 years, male, asian, alive, 466 days
7293.2
TCGA-26-5132-01A
74 years, male, white, alive, 286 days
7205.8
TCGA-14-0781-01B
49 years, male, black or african american, dead, 29 days
7170.3
TCGA-26-5134-01A
74 years, male, white, alive, 167 days
7166.8
TCGA-06-2558-01A
75 years, female, white, dead, 380 days
7141.3
TCGA-19-1787-01B
49 years, male, white, dead, 385 days
7024.9
TCGA-06-0157-01A
63 years, female, white, dead, 97 days
6799.1
TCGA-27-2528-01A
62 years, male, white, dead, 480 days
6726.5
TCGA-06-2562-01A
81 years, male, white, dead, 382 days
6617.9
TCGA-06-0178-01A
39 years, male, white, dead, 2681 days
6592.8
TCGA-32-1970-01A
59 years, male, white, dead, 468 days
6535.2
TCGA-15-0742-01A
65 years, male, white, dead, 419 days
6431.1
TCGA-19-1390-01A
63 years, female, white, dead, 772 days
6425.9
TCGA-28-1753-01A
53 years, male, white, alive, 37 days
6418.1
TCGA-16-0846-01A
85 years, male, white, dead, 119 days
6347.8
TCGA-12-0619-01A
60 years, male, white, dead, 1062 days
6346.5
TCGA-06-0139-01A
40 years, male, white, dead, 362 days
6298.3
TCGA-32-2632-01A
80 years, male, white, dead, 269 days
6252.9
TCGA-14-0787-01A
69 years, male, asian, dead, 68 days
6195.6
TCGA-26-5135-01A
72 years, female, white, dead, 270 days
6192.4
TCGA-06-0686-01A
53 years, male, white, dead, 432 days
6151.8
TCGA-06-0745-01A
59 years, male, white, dead, 239 days
6092.5
TCGA-14-0817-01A
69 years, female, white, dead, 164 days
5767.6
TCGA-32-2634-01A
82 years, male, white, alive, 693 days
5718.4
TCGA-41-4097-01A
63 years, female, white, dead, 6 days
5698.0
TCGA-06-0156-01A
57 years, male, white, dead, 178 days
5604.6
TCGA-06-0130-01A
54 years, male, white, dead, 394 days
5497.1
TCGA-06-5411-01A
51 years, male, white, dead, 254 days
5465.6
TCGA-19-2624-01A
51 years, male, white, dead, 5 days
5331.7
TCGA-02-0047-01A
78 years, male, white, dead, 448 days
5307.3
TCGA-16-1045-01B
49 years, female, white, dead, 883 days
5255.3
TCGA-26-5133-01A
59 years, male, white, alive, 452 days
5170.9
TCGA-06-0158-01A
73 years, male, white, dead, 329 days
5167.2
TCGA-06-0645-01A
56 years, female, white, dead, 175 days
5109.7
TCGA-27-1834-01A
56 years, male, white, dead, 1233 days
5088.0
TCGA-08-0386-01A
74 years, male, white, dead, 548 days
4996.5
TCGA-06-2557-01A
76 years, male, black or african american, dead, 33 days
4985.0
TCGA-41-2571-01A
89 years, male, white, dead, 26 days
4879.3
TCGA-28-2513-01A
69 years, female, white, alive, 222 days
4828.8
TCGA-27-2524-01A
56 years, male, white, dead, 231 days
4817.2
TCGA-06-0878-01A
74 years, male, white, alive, 218 days
4815.2
TCGA-15-1444-01A
21 years, male, white, dead, 1537 days
4815.0
TCGA-06-5416-01A
23 years, female, white, alive, 204 days
4739.1
TCGA-27-1831-01A
66 years, male, white, dead, 505 days
4701.8
TCGA-06-0190-01A
62 years, male, white, dead, 317 days
4649.3
TCGA-06-2564-01A
50 years, male, white, alive, 181 days
4596.1
TCGA-41-2572-01A
67 years, male, white, dead, 406 days
4578.4
TCGA-28-2499-01A
59 years, male, white, dead, 95 days
4578.0
TCGA-06-5858-01A
45 years, female, white, alive, 187 days
4496.9
TCGA-06-0129-01A
30 years, male, asian, dead, 1024 days
4496.1
TCGA-27-2521-01A
34 years, male, white, dead, 510 days
4462.7
TCGA-14-1829-01A
57 years, male, black or african american, alive, 218 days
4428.5
TCGA-76-4926-01B
68 years, male, white, dead, 138 days
4351.6
TCGA-06-5417-01A
45 years, female, white, alive, 155 days
4350.2
TCGA-06-0125-01A
63 years, female, white, dead, 1448 days
4349.8
TCGA-19-2619-01A
55 years, female, black or african american, alive, 294 days
4267.2
TCGA-14-0790-01B
64 years, female, white, dead, 419 days
4263.9
TCGA-28-5218-01A
63 years, male, white, dead, 157 days
4200.7
TCGA-06-5412-01A
78 years, female, white, dead, 138 days
4057.2
TCGA-12-1597-01B
62 years, female, white, dead, 675 days
4009.9
TCGA-14-1825-01A
70 years, male, white, dead, 232 days
4003.2
TCGA-76-4929-01A
76 years, female, white, dead, 111 days
3984.7
TCGA-76-4928-01B
85 years, female, white, dead, 94 days
3963.8
TCGA-06-2563-01A
72 years, female, white, alive, 932 days
3883.8
TCGA-06-0187-01A
69 years, male, white, dead, 828 days
3850.1
TCGA-28-2514-01A
45 years, male, asian, alive, 160 days
3758.8
TCGA-27-2526-01A
79 years, female, white, dead, 87 days
3746.9
TCGA-32-4213-01A
47 years, female, white, alive, 604 days
3718.4
TCGA-12-0821-01A
62 years, male, white, dead, 323 days
3686.6
TCGA-41-3915-01A
48 years, male, white, dead, 360 days
3670.7
TCGA-32-2615-01A
62 years, male, white, dead, 485 days
3647.5
TCGA-14-0789-01A
54 years, male, white, dead, 342 days
3639.9
TCGA-06-2559-01A
83 years, male, white, dead, 150 days
3561.2
TCGA-14-1034-01A
60 years, female, dead, 485 days
3551.3
TCGA-06-0747-01A
53 years, male, white, dead, 82 days
3498.7
TCGA-12-0618-01A
49 years, male, white, dead, 395 days
3447.5
TCGA-26-5139-01A
65 years, female, white, alive, 48 days
3440.1
TCGA-14-2554-01A
52 years, female, white, dead, 532 days
3334.9
TCGA-19-2629-01A
60 years, male, white, dead, 737 days
3315.2
TCGA-06-2565-01A
59 years, male, asian, dead, 506 days
3308.6
TCGA-32-2638-01A
67 years, male, white, dead, 766 days
3282.8
TCGA-06-5418-01A
75 years, female, white, dead, 83 days
3230.4
TCGA-06-2567-01A
65 years, male, white, dead, 133 days
3229.1
TCGA-76-4932-01A
50 years, female, white, dead, 1458 days
3169.4
TCGA-76-4925-01A
76 years, male, white, dead, 146 days
3093.7
TCGA-06-0174-01A
54 years, male, white, dead, 98 days
3051.0
TCGA-06-0644-01A
71 years, male, black or african american, dead, 384 days
3042.2
TCGA-02-0055-01A
62 years, female, white, dead, 76 days
3013.2
TCGA-28-2509-01A
77 years, female, white, alive, 145 days
3000.0
TCGA-28-5207-01A
71 years, male, white, dead, 343 days
2994.5
TCGA-28-5216-01A
52 years, male, white, alive, 415 days
2972.1
TCGA-28-1747-01C
44 years, male, white, dead, 77 days
2832.3
TCGA-06-2569-01A
24 years, female, black or african american, alive, 13 days
2816.2
TCGA-06-0211-01B
47 years, male, white, dead, 360 days
2808.4
TCGA-19-5960-01A
56 years, male, white, dead, 455 days
2718.9
TCGA-41-5651-01A
59 years, female, black or african american, dead, 460 days
2717.0
TCGA-27-2523-01A
63 years, male, white, dead, 489 days
2500.0
TCGA-76-4931-01A
70 years, female, white, dead, 279 days
2465.0
TCGA-06-5410-01A
72 years, female, white, dead, 108 days
2412.0
TCGA-28-5215-01A
62 years, female, white, dead, 335 days
2357.2
TCGA-28-5220-01A
67 years, male, white, dead, 388 days
2314.0
TCGA-76-4927-01A
58 years, male, white, dead, 535 days
2295.9
TCGA-06-5414-01A
61 years, male, white, alive, 273 days
2175.5
TCGA-06-5856-01A
58 years, male, white, dead, 114 days
2081.4
TCGA-12-3650-01A
46 years, male, white, dead, 333 days
2038.5
TCGA-02-2485-01A
53 years, male, black or african american, alive, 470 days
1935.1
TCGA-28-5209-01A
66 years, female, white, alive, 77 days
1881.6
TCGA-06-5413-01A
67 years, male, white, alive, 268 days
1672.6
TCGA-06-5408-01A
54 years, female, white, dead, 357 days
1547.3
TCGA-12-3652-01A
60 years, male, white, dead, 1062 days
1519.0
TCGA-28-5208-01A
52 years, male, white, dead, 544 days
1502.1
TCGA-12-5295-01A
60 years, female, white, dead, 454 days
1485.0
TCGA-12-5299-01A
56 years, female, white, dead, 98 days
1447.6
TCGA-06-5859-01A
63 years, male, white, alive, 139 days
1339.9
TCGA-12-3653-01A
34 years, female, white, dead, 442 days
1179.5
TCGA-32-5222-01A
66 years, male, white, dead, 585 days
1126.4
TCGA-28-5204-01A
72 years, male, white, dead, 454 days
957.4
TCGA-02-2486-01A
64 years, male, white, dead, 618 days
947.5
TCGA-28-5213-01A
72 years, male, white, alive, 951 days
931.1
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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.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high. This score is based on the staining intensity and fraction of stained cells.