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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.
RPL36 is not prognostic in Glioblastoma Multiforme (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.
: 0.98
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.063
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.
14%
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.
8%
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
1131.1
Number of samples
141
Samples
Sample
Description
TPM
TCGA-27-2524-01A
56 years, male, white, stage:'--, dead, 231 days
2928.7
TCGA-14-0817-01A
69 years, female, white, stage:'--, dead, 164 days
2735.3
TCGA-12-3652-01A
60 years, male, white, stage:'--, dead, 1062 days
2570.9
TCGA-27-1831-01A
66 years, male, white, stage:'--, dead, 505 days
2261.7
TCGA-06-0178-01A
38 years, male, white, stage:'--, dead, 2681 days
2177.4
TCGA-06-0744-01A
66 years, male, white, stage:'--, dead, 1426 days
2162.1
TCGA-32-5222-01A
66 years, male, white, stage:'--, dead, 585 days
2116.1
TCGA-26-5133-01A
59 years, male, white, stage:'--, alive, 452 days
1906.7
TCGA-12-3650-01A
46 years, male, white, stage:'--, dead, 333 days
1895.8
TCGA-06-2569-01A
24 years, female, black or african american, stage:'--, alive, 13 days
1891.8
TCGA-14-1829-01A
57 years, male, black or african american, stage:'--, alive, 218 days
1881.9
TCGA-02-0055-01A
62 years, female, white, stage:'--, dead, 76 days
1841.4
TCGA-06-2563-01A
72 years, female, white, stage:'--, alive, 932 days
1794.8
TCGA-06-5416-01A
23 years, female, white, stage:'--, alive, 204 days
1710.4
TCGA-14-2554-01A
52 years, female, white, stage:'--, dead, 532 days
1700.7
TCGA-27-2521-01A
34 years, male, white, stage:'--, dead, 510 days
1690.8
TCGA-12-5295-01A
60 years, female, white, stage:'--, dead, 454 days
1657.4
TCGA-02-2485-01A
53 years, male, black or african american, stage:'--, alive, 470 days
1629.5
TCGA-28-5208-01A
52 years, male, white, stage:'--, dead, 544 days
1596.9
TCGA-14-1823-01A
58 years, female, white, stage:'--, dead, 543 days
1580.8
TCGA-19-2629-01A
60 years, male, white, stage:'--, dead, 737 days
1569.2
TCGA-41-2572-01A
67 years, male, white, stage:'--, dead, 406 days
1541.7
TCGA-14-0871-01A
74 years, female, white, stage:'--, dead, 880 days
1494.9
TCGA-41-5651-01A
59 years, female, black or african american, stage:'--, dead, 460 days
1473.4
TCGA-27-2523-01A
63 years, male, white, stage:'--, dead, 489 days
1435.8
TCGA-06-0219-01A
67 years, male, white, stage:'--, dead, 22 days
1429.2
TCGA-76-4925-01A
76 years, male, white, stage:'--, dead, 146 days
1428.5
TCGA-32-1982-01A
76 years, female, white, stage:'--, dead, 142 days
1418.1
TCGA-12-0616-01A
36 years, female, white, stage:'--, dead, 448 days
1410.6
TCGA-28-2509-01A
77 years, female, white, stage:'--, alive, 145 days
1405.4
TCGA-02-2486-01A
64 years, male, white, stage:'--, dead, 618 days
1403.9
TCGA-06-0190-01A
62 years, male, white, stage:'--, dead, 317 days
1394.3
TCGA-12-5299-01A
56 years, female, white, stage:'--, dead, 98 days
1384.1
TCGA-06-5418-01A
75 years, female, white, stage:'--, dead, 83 days
1369.5
TCGA-28-5216-01A
52 years, male, white, stage:'--, alive, 415 days
1315.4
TCGA-19-5960-01A
56 years, male, white, stage:'--, dead, 455 days
1315.1
TCGA-06-0184-01A
63 years, male, white, stage:'--, dead, 2126 days
1312.4
TCGA-06-0747-01A
53 years, male, white, stage:'--, dead, 82 days
1300.2
TCGA-27-2526-01A
79 years, female, white, stage:'--, dead, 87 days
1298.2
TCGA-76-4927-01A
58 years, male, white, stage:'--, dead, 535 days
1289.4
TCGA-27-2528-01A
62 years, male, white, stage:'--, dead, 480 days
1265.0
TCGA-06-0745-01A
59 years, male, white, stage:'--, dead, 239 days
1261.5
TCGA-19-4065-01A
36 years, male, white, stage:'--, alive, 214 days
1251.2
TCGA-06-5408-01A
54 years, female, white, stage:'--, dead, 357 days
1249.3
TCGA-28-5209-01A
66 years, female, white, stage:'--, alive, 442 days
1249.2
TCGA-14-0789-01A
54 years, male, white, stage:'--, dead, 342 days
1241.9
TCGA-28-5218-01A
63 years, male, white, stage:'--, dead, 157 days
1226.0
TCGA-19-2625-01A
76 years, female, white, stage:'--, dead, 124 days
1219.3
TCGA-32-2632-01A
80 years, male, white, stage:'--, dead, 269 days
1208.9
TCGA-06-2565-01A
59 years, male, asian, stage:'--, dead, 506 days
1188.3
TCGA-06-0211-01A
47 years, male, white, stage:'--, dead, 360 days
1184.5
TCGA-12-3653-01A
34 years, female, white, stage:'--, dead, 442 days
1181.9
TCGA-06-0139-01A
40 years, male, white, stage:'--, dead, 362 days
1158.4
TCGA-76-4932-01A
50 years, female, white, stage:'--, dead, 1458 days
1142.1
TCGA-06-0174-01A
54 years, male, white, stage:'--, dead, 98 days
1136.1
TCGA-06-0138-01A
43 years, male, white, stage:'--, dead, 737 days
1127.4
TCGA-41-3915-01A
48 years, male, white, stage:'--, dead, 360 days
1116.7
TCGA-26-5139-01A
65 years, female, white, stage:'--, alive, 48 days
1115.3
TCGA-32-2634-01A
82 years, male, white, stage:'--, alive, 693 days
1093.6
TCGA-41-2571-01A
89 years, male, white, stage:'--, dead, 26 days
1087.4
TCGA-28-2513-01A
69 years, female, white, stage:'--, alive, 222 days
1086.2
TCGA-02-2483-01A
43 years, male, asian, stage:'--, alive, 466 days
1083.7
TCGA-16-0846-01A
85 years, male, white, stage:'--, dead, 119 days
1080.7
TCGA-28-5204-01A
72 years, male, white, stage:'--, dead, 454 days
1075.6
TCGA-06-0238-01A
46 years, male, white, stage:'--, dead, 405 days
1071.8
TCGA-32-2638-01A
67 years, male, white, stage:'--, dead, 766 days
1067.9
TCGA-14-1825-01A
70 years, male, white, stage:'--, dead, 232 days
1057.7
TCGA-06-0749-01A
50 years, male, black or african american, stage:'--, dead, 82 days
1040.5
TCGA-06-2570-01A
21 years, female, white, stage:'--, alive, 958 days
1038.4
TCGA-06-2558-01A
75 years, female, white, stage:'--, dead, 380 days
1033.9
TCGA-06-5413-01A
67 years, male, white, stage:'--, alive, 268 days
1030.2
TCGA-06-0645-01A
55 years, female, white, stage:'--, dead, 175 days
1019.2
TCGA-06-0686-01A
53 years, male, white, stage:'--, dead, 432 days
1014.2
TCGA-76-4931-01A
70 years, female, white, stage:'--, dead, 279 days
1009.3
TCGA-06-0125-01A
63 years, female, white, stage:'--, dead, 1448 days
1004.1
TCGA-06-5856-01A
58 years, male, white, stage:'--, dead, 114 days
994.0
TCGA-26-5135-01A
72 years, female, white, stage:'--, dead, 270 days
992.0
TCGA-32-2615-01A
62 years, male, white, stage:'--, dead, 485 days
980.1
TCGA-06-0156-01A
57 years, male, white, stage:'--, dead, 178 days
963.6
TCGA-19-2620-01A
70 years, male, white, stage:'--, dead, 148 days
961.0
TCGA-06-0743-01A
69 years, male, white, stage:'--, dead, 803 days
960.7
TCGA-06-5417-01A
45 years, female, white, stage:'--, alive, 155 days
960.4
TCGA-12-0618-01A
49 years, male, white, stage:'--, dead, 395 days
952.6
TCGA-32-1970-01A
59 years, male, white, stage:'--, dead, 468 days
952.2
TCGA-06-5414-01A
61 years, male, white, stage:'--, alive, 273 days
946.6
TCGA-12-0821-01A
62 years, male, white, stage:'--, dead, 323 days
946.5
TCGA-14-1034-01A
60 years, female, stage:'--, dead, 485 days
946.0
TCGA-28-2514-01A
45 years, male, asian, stage:'--, alive, 160 days
944.2
TCGA-06-0210-01A
72 years, female, white, stage:'--, dead, 225 days
937.4
TCGA-08-0386-01A
74 years, male, white, stage:'--, dead, 548 days
936.5
TCGA-06-0168-01A
59 years, female, white, stage:'--, dead, 598 days
936.3
TCGA-14-0787-01A
69 years, male, asian, stage:'--, dead, 68 days
931.1
TCGA-06-0644-01A
71 years, male, black or african american, stage:'--, dead, 384 days
929.7
TCGA-28-5220-01A
67 years, male, white, stage:'--, dead, 388 days
918.8
TCGA-06-2559-01A
83 years, male, white, stage:'--, dead, 150 days
905.4
TCGA-27-1837-01A
36 years, male, white, stage:'--, dead, 427 days
893.1
TCGA-06-5412-01A
78 years, female, white, stage:'--, dead, 138 days
890.2
TCGA-27-1832-01A
59 years, female, white, stage:'--, dead, 300 days
884.0
TCGA-19-1390-01A
63 years, female, white, stage:'--, dead, 772 days
883.1
TCGA-32-2616-01A
48 years, female, white, stage:'--, dead, 224 days
878.7
TCGA-06-0130-01A
54 years, male, white, stage:'--, dead, 394 days
870.1
TCGA-26-5132-01A
74 years, male, white, stage:'--, alive, 286 days
860.6
TCGA-28-5207-01A
71 years, male, white, stage:'--, dead, 343 days
855.8
TCGA-06-0132-01A
49 years, male, white, stage:'--, dead, 771 days
853.9
TCGA-06-0882-01A
30 years, male, white, stage:'--, dead, 632 days
840.5
TCGA-06-2557-01A
76 years, male, black or african american, stage:'--, dead, 33 days
836.6
TCGA-06-5410-01A
72 years, female, white, stage:'--, dead, 108 days
836.4
TCGA-28-1753-01A
53 years, male, white, stage:'--, alive, 37 days
826.4
TCGA-06-5411-01A
51 years, male, white, stage:'--, dead, 254 days
812.7
TCGA-27-1835-01A
53 years, female, white, stage:'--, dead, 648 days
810.9
TCGA-32-1980-01A
72 years, male, white, stage:'--, dead, 36 days
794.3
TCGA-06-0187-01A
69 years, male, white, stage:'--, dead, 828 days
771.6
TCGA-06-0158-01A
73 years, male, white, stage:'--, dead, 329 days
766.1
TCGA-27-1830-01A
57 years, male, white, stage:'--, dead, 154 days
759.6
TCGA-06-2562-01A
81 years, male, white, stage:'--, dead, 382 days
759.4
TCGA-15-0742-01A
65 years, male, white, stage:'--, dead, 419 days
755.9
TCGA-06-0750-01A
43 years, male, white, stage:'--, dead, 28 days
750.7
TCGA-06-2564-01A
50 years, male, white, stage:'--, alive, 181 days
732.2
TCGA-12-0619-01A
60 years, male, white, stage:'--, dead, 1062 days
728.0
TCGA-27-1834-01A
56 years, male, white, stage:'--, dead, 1233 days
720.7
TCGA-27-2519-01A
48 years, male, white, stage:'--, dead, 550 days
708.4
TCGA-06-0878-01A
74 years, male, white, stage:'--, alive, 218 days
698.4
TCGA-41-4097-01A
63 years, female, white, stage:'--, dead, 6 days
695.0
TCGA-06-5858-01A
45 years, female, white, stage:'--, alive, 187 days
689.6
TCGA-28-5215-01A
62 years, female, white, stage:'--, dead, 335 days
685.5
TCGA-19-2624-01A
51 years, male, white, stage:'--, dead, 5 days
684.4
TCGA-06-0646-01A
60 years, male, white, stage:'--, dead, 175 days
680.7
TCGA-19-2619-01A
55 years, female, black or african american, stage:'--, alive, 294 days
670.9
TCGA-06-0141-01A
62 years, male, white, stage:'--, dead, 313 days
661.4
TCGA-06-0129-01A
30 years, male, asian, stage:'--, dead, 1024 days
659.1
TCGA-06-2567-01A
65 years, male, white, stage:'--, dead, 133 days
652.9
TCGA-06-0157-01A
63 years, female, white, stage:'--, dead, 97 days
649.0
TCGA-32-4213-01A
47 years, female, white, stage:'--, alive, 604 days
643.2
TCGA-26-1442-01A
43 years, male, white, stage:'--, alive, 953 days
616.1
TCGA-06-5859-01A
63 years, male, white, stage:'--, alive, 139 days
611.9
TCGA-06-2561-01A
53 years, female, white, stage:'--, dead, 537 days
575.4
TCGA-76-4929-01A
76 years, female, white, stage:'--, dead, 111 days
567.3
TCGA-15-1444-01A
21 years, male, white, stage:'--, dead, 1537 days
524.3
TCGA-02-0047-01A
78 years, male, white, stage:'--, dead, 448 days
509.0
TCGA-06-1804-01A
81 years, female, white, stage:'--, dead, 414 days
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.
RPL36 is not prognostic in Glioblastoma Multiforme (validation)
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.
: 0.99
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
0.31
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.
23%
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.
42%
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
32.1
Number of samples
58
Samples
Sample
Description
TPM
AK074
N, NA, stage:NA, alive, 300 days
81.5
AK098
N, NA, stage:NA, dead, 660 days
78.0
AK139
N, NA, stage:NA, dead, 270 days
73.4
AK178
N, NA, stage:NA, dead, 240 days
71.5
AK053
N, NA, stage:NA, dead, 300 days
56.0
AK055
N, NA, stage:NA, dead, 240 days
51.4
AK183
N, NA, stage:NA, alive, 360 days
51.2
AK188
N, NA, stage:NA, alive, 420 days
51.0
AK142
N, NA, stage:NA, alive, 90 days
49.4
AK043
N, NA, stage:NA, alive, 660 days
48.1
AK165
N, NA, stage:NA, alive, 360 days
46.5
AK236
N, NA, stage:NA, dead, 360 days
46.1
AK133
N, NA, stage:NA, dead, 360 days
43.4
AK072
N, NA, stage:NA, dead, 150 days
42.6
AK153
N, NA, stage:NA, dead, 240 days
41.2
AK049
N, NA, stage:NA, dead, 180 days
40.8
AK088
N, NA, stage:NA, dead, 360 days
39.4
AK195
N, NA, stage:NA, dead, 390 days
36.7
AK089
N, NA, stage:NA, dead, 330 days
36.2
AK185
N, NA, stage:NA, alive, 330 days
35.9
AK051
N, NA, stage:NA, dead, 360 days
34.6
AK213
N, NA, stage:NA, alive, 2010 days
34.1
AK002
N, NA, stage:NA, dead, 570 days
32.9
AK158
N, NA, stage:NA, dead, 360 days
32.3
AK124
N, NA, stage:NA, alive, 1920 days
31.8
AK167
N, NA, stage:NA, dead, 180 days
31.6
AK071
N, NA, stage:NA, dead, 540 days
31.2
AK068
N, NA, stage:NA, alive, 360 days
31.2
AK199
N, NA, stage:NA, alive, 1860 days
30.7
AK035
N, NA, stage:NA, dead, 210 days
29.9
AK100
N, NA, stage:NA, alive, 960 days
29.5
AK123
N, NA, stage:NA, dead, 180 days
27.6
AK134
N, NA, stage:NA, dead, 360 days
26.9
AK216
N, NA, stage:NA, dead, 360 days
26.7
AK117
N, NA, stage:NA, dead, 210 days
26.5
AK091
N, NA, stage:NA, dead, 210 days
26.0
AK066
N, NA, stage:NA, alive, 960 days
26.0
AK149
N, NA, stage:NA, dead, 420 days
22.9
AK231
N, NA, stage:NA, dead, 240 days
21.6
AK015
N, NA, stage:NA, alive, 720 days
21.0
AK205
N, NA, stage:NA, dead, 120 days
20.7
AK227
N, NA, stage:NA, alive, 300 days
20.5
AK173
N, NA, stage:NA, dead, 180 days
20.2
AK218
N, NA, stage:NA, dead, 180 days
19.8
AK099
N, NA, stage:NA, dead, 420 days
18.2
AK079
N, NA, stage:NA, dead, 210 days
17.0
AK030
N, NA, stage:NA, dead, 120 days
15.9
AK076
N, NA, stage:NA, alive, 660 days
15.5
AK226
N, NA, stage:NA, dead, 360 days
14.4
AK102
N, NA, stage:NA, alive, 1740 days
13.9
AK041
N, NA, stage:NA, alive, 810 days
13.4
AK005
N, NA, stage:NA, dead, 240 days
13.2
AK003
N, NA, stage:NA, dead, 600 days
13.1
AK103
N, NA, stage:NA, alive, 1320 days
11.8
AK156
N, NA, stage:NA, dead, 330 days
11.5
AK081
N, NA, stage:NA, dead, 180 days
11.2
AK006
N, NA, stage:NA, dead, 360 days
10.6
AK085
N, NA, stage:NA, alive, 660 days
8.3
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GLIOBLASTOMA MULTIFORME - Protein relative expression (CPTAC)
Number of samples
110
Samples
Sample ID
Sample type
nRPX
CPT0218330004
Tumor
0.9
CPT0168830003
Tumor
0.6
CPT0182580003
Tumor
0.6
CPT0093510003
Tumor
0.6
CPT0125510003
Tumor
0.5
CPT0225760003
Tumor
0.5
CPT0218830004
Tumor
0.4
CPT0217060003
Tumor
0.4
CPT0228220003
Tumor
0.4
CPT0217430008
Tumor
0.4
CPT0224390004
Tumor
0.4
CPT0168080003
Tumor
0.4
CPT0161730003
Tumor
0.4
CPT0089150003
Tumor
0.4
CPT0207090003
Tumor
0.3
CPT0217710008
Tumor
0.3
CPT0079790003
Tumor
0.3
CPT0189750004
Tumor
0.3
CPT0221180003
Tumor
0.3
CPT0127420003
Tumor
0.3
CPT0206670004
Tumor
0.3
CPT0224540004
Tumor
0.3
CPT0216920008
Tumor
0.3
CPT0206000004
Tumor
0.3
CPT0087570003
Tumor
0.2
CPT0206560003
Tumor
0.2
CPT0205670004
Tumor
0.2
CPT0189570004
Tumor
0.2
CPT0175060003
Tumor
0.2
CPT0201710003
Tumor
0.2
CPT0186100003
Tumor
0.2
CPT0168590003
Tumor
0.2
CPT0093590003
Tumor
0.2
CPT0205450004
Tumor
0.1
CPT0168480003
Tumor
0.1
CPT0224600003
Tumor
0.1
CPT0064890003
Tumor
0.1
CPT0168270003
Tumor
0.1
CPT0168720003
Tumor
0.1
CPT0093360003
Tumor
0.1
CPT0218960004
Tumor
0.1
CPT0189650004
Tumor
0.1
CPT0225730003
Tumor
0.1
CPT0167530003
Tumor
0.1
CPT0167860004
Tumor
0.1
CPT0217880003
Tumor
0.1
CPT0218690004
Tumor
0.1
CPT0167750004
Tumor
0.1
CPT0189460003
Tumor
0.1
CPT0207030003
Tumor
0.0
CPT0208980003
Tumor
0.0
CPT0125220003
Tumor
0.0
CPT0093550003
Tumor
0.0
CPT0219080004
Tumor
0.0
CPT0206450003
Tumor
0.0
CPT0168380003
Tumor
0.0
CPT0196850003
Tumor
0.0
CPT0190360004
Tumor
0.0
CPT0205570003
Tumor
0.0
CPT0182500003
Tumor
0.0
CPT0189850004
Tumor
0.0
CPT0167970003
Tumor
0.0
CPT0217100003
Tumor
-0.1
CPT0209440003
Tumor
-0.1
CPT0064650003
Tumor
-0.1
CPT0206880003
Tumor
-0.1
CPT0087950003
Tumor
-0.1
CPT0125570003
Tumor
-0.1
CPT0206780003
Tumor
-0.1
CPT0204380003
Normal
-0.1
CPT0167640003
Tumor
-0.1
CPT0162020003
Tumor
-0.1
CPT0217190003
Tumor
-0.1
CPT0224330003
Tumor
-0.1
CPT0087680003
Tumor
-0.1
CPT0162140003
Tumor
-0.2
CPT0093450003
Tumor
-0.2
CPT0204390003
Normal
-0.2
CPT0071100003
Tumor
-0.2
CPT0205890003
Tumor
-0.2
CPT0127480003
Tumor
-0.2
CPT0205780003
Tumor
-0.2
CPT0092440003
Tumor
-0.2
CPT0087730003
Tumor
-0.2
CPT0218670003
Tumor
-0.2
CPT0217000004
Tumor
-0.2
CPT0123530003
Tumor
-0.2
CPT0002410011
Tumor
-0.2
CPT0104330003
Tumor
-0.3
CPT0204360003
Normal
-0.3
CPT0078580003
Tumor
-0.3
CPT0104220003
Tumor
-0.3
CPT0206110003
Tumor
-0.3
CPT0190240004
Tumor
-0.3
CPT0218890004
Tumor
-0.3
CPT0171580008
Tumor
-0.4
CPT0182550003
Tumor
-0.4
CPT0218770003
Tumor
-0.4
CPT0204410003
Normal
-0.4
CPT0199770003
Tumor
-0.5
CPT0204340003
Normal
-0.5
CPT0204350003
Normal
-0.5
CPT0162100003
Tumor
-0.5
CPT0206330003
Tumor
-0.6
CPT0189250003
Tumor
-0.6
CPT0204370003
Normal
-0.6
CPT0206230003
Tumor
-0.7
CPT0204330003
Normal
-0.8
CPT0204400003
Normal
-0.8
CPT0204420003
Normal
-1.3
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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, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.