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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.
GNB2 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.
: 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 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
418.8
Number of samples
141
Samples
Sample
Description
TPM
TCGA-08-0386-01A
74 years, male, white, stage:'--, dead, 548 days
813.7
TCGA-32-2616-01A
48 years, female, white, stage:'--, dead, 224 days
745.9
TCGA-26-5132-01A
74 years, male, white, stage:'--, alive, 286 days
721.6
TCGA-06-0644-01A
71 years, male, black or african american, stage:'--, dead, 384 days
712.2
TCGA-12-5299-01A
56 years, female, white, stage:'--, dead, 98 days
700.3
TCGA-32-2632-01A
80 years, male, white, stage:'--, dead, 269 days
689.5
TCGA-19-1390-01A
63 years, female, white, stage:'--, dead, 772 days
679.1
TCGA-12-3650-01A
46 years, male, white, stage:'--, dead, 333 days
678.8
TCGA-06-2567-01A
65 years, male, white, stage:'--, dead, 133 days
656.3
TCGA-06-0686-01A
53 years, male, white, stage:'--, dead, 432 days
651.5
TCGA-28-2509-01A
77 years, female, white, stage:'--, alive, 145 days
644.0
TCGA-76-4925-01A
76 years, male, white, stage:'--, dead, 146 days
642.9
TCGA-26-5135-01A
72 years, female, white, stage:'--, dead, 270 days
631.6
TCGA-32-1970-01A
59 years, male, white, stage:'--, dead, 468 days
617.4
TCGA-12-3653-01A
34 years, female, white, stage:'--, dead, 442 days
614.9
TCGA-28-5204-01A
72 years, male, white, stage:'--, dead, 454 days
606.5
TCGA-15-0742-01A
65 years, male, white, stage:'--, dead, 419 days
599.7
TCGA-06-0184-01A
63 years, male, white, stage:'--, dead, 2126 days
594.0
TCGA-27-2523-01A
63 years, male, white, stage:'--, dead, 489 days
590.6
TCGA-06-0187-01A
69 years, male, white, stage:'--, dead, 828 days
582.9
TCGA-06-5858-01A
45 years, female, white, stage:'--, alive, 187 days
577.1
TCGA-14-1034-01A
60 years, female, stage:'--, dead, 485 days
577.0
TCGA-06-5408-01A
54 years, female, white, stage:'--, dead, 357 days
575.8
TCGA-12-5295-01A
60 years, female, white, stage:'--, dead, 454 days
563.8
TCGA-06-0745-01A
59 years, male, white, stage:'--, dead, 239 days
544.0
TCGA-12-0619-01A
60 years, male, white, stage:'--, dead, 1062 days
541.8
TCGA-19-2619-01A
55 years, female, black or african american, stage:'--, alive, 294 days
537.5
TCGA-76-4927-01A
58 years, male, white, stage:'--, dead, 535 days
536.2
TCGA-06-5418-01A
75 years, female, white, stage:'--, dead, 83 days
535.6
TCGA-06-0646-01A
60 years, male, white, stage:'--, dead, 175 days
534.7
TCGA-06-0211-01A
47 years, male, white, stage:'--, dead, 360 days
534.5
TCGA-12-0821-01A
62 years, male, white, stage:'--, dead, 323 days
531.8
TCGA-06-0174-01A
54 years, male, white, stage:'--, dead, 98 days
528.5
TCGA-28-5209-01A
66 years, female, white, stage:'--, alive, 442 days
524.9
TCGA-12-0618-01A
49 years, male, white, stage:'--, dead, 395 days
512.2
TCGA-76-4932-01A
50 years, female, white, stage:'--, dead, 1458 days
509.1
TCGA-76-4931-01A
70 years, female, white, stage:'--, dead, 279 days
500.1
TCGA-06-5414-01A
61 years, male, white, stage:'--, alive, 273 days
498.8
TCGA-06-0190-01A
62 years, male, white, stage:'--, dead, 317 days
486.0
TCGA-06-0168-01A
59 years, female, white, stage:'--, dead, 598 days
484.3
TCGA-14-0787-01A
69 years, male, asian, stage:'--, dead, 68 days
482.2
TCGA-27-2519-01A
48 years, male, white, stage:'--, dead, 550 days
475.4
TCGA-41-2571-01A
89 years, male, white, stage:'--, dead, 26 days
473.8
TCGA-28-5207-01A
71 years, male, white, stage:'--, dead, 343 days
468.2
TCGA-41-2572-01A
67 years, male, white, stage:'--, dead, 406 days
467.2
TCGA-06-0747-01A
53 years, male, white, stage:'--, dead, 82 days
466.1
TCGA-27-1837-01A
36 years, male, white, stage:'--, dead, 427 days
464.7
TCGA-06-0882-01A
30 years, male, white, stage:'--, dead, 632 days
462.7
TCGA-19-2629-01A
60 years, male, white, stage:'--, dead, 737 days
462.4
TCGA-06-2564-01A
50 years, male, white, stage:'--, alive, 181 days
458.3
TCGA-06-2563-01A
72 years, female, white, stage:'--, alive, 932 days
458.1
TCGA-26-5139-01A
65 years, female, white, stage:'--, alive, 48 days
455.9
TCGA-19-2625-01A
76 years, female, white, stage:'--, dead, 124 days
455.6
TCGA-19-2624-01A
51 years, male, white, stage:'--, dead, 5 days
455.5
TCGA-06-0645-01A
55 years, female, white, stage:'--, dead, 175 days
451.6
TCGA-12-0616-01A
36 years, female, white, stage:'--, dead, 448 days
448.2
TCGA-76-4929-01A
76 years, female, white, stage:'--, dead, 111 days
440.8
TCGA-27-2526-01A
79 years, female, white, stage:'--, dead, 87 days
440.3
TCGA-06-0157-01A
63 years, female, white, stage:'--, dead, 97 days
440.3
TCGA-14-1825-01A
70 years, male, white, stage:'--, dead, 232 days
436.2
TCGA-06-1804-01A
81 years, female, white, stage:'--, dead, 414 days
429.7
TCGA-06-5413-01A
67 years, male, white, stage:'--, alive, 268 days
427.6
TCGA-06-0878-01A
74 years, male, white, stage:'--, alive, 218 days
426.4
TCGA-27-2521-01A
34 years, male, white, stage:'--, dead, 510 days
417.2
TCGA-06-2559-01A
83 years, male, white, stage:'--, dead, 150 days
413.0
TCGA-27-2524-01A
56 years, male, white, stage:'--, dead, 231 days
412.8
TCGA-19-5960-01A
56 years, male, white, stage:'--, dead, 455 days
411.4
TCGA-28-2514-01A
45 years, male, asian, stage:'--, alive, 160 days
409.0
TCGA-28-2513-01A
69 years, female, white, stage:'--, alive, 222 days
408.8
TCGA-06-0744-01A
66 years, male, white, stage:'--, dead, 1426 days
408.0
TCGA-06-0125-01A
63 years, female, white, stage:'--, dead, 1448 days
404.4
TCGA-06-0130-01A
54 years, male, white, stage:'--, dead, 394 days
394.6
TCGA-06-5412-01A
78 years, female, white, stage:'--, dead, 138 days
391.4
TCGA-06-0210-01A
72 years, female, white, stage:'--, dead, 225 days
390.3
TCGA-06-5856-01A
58 years, male, white, stage:'--, dead, 114 days
389.4
TCGA-28-1753-01A
53 years, male, white, stage:'--, alive, 37 days
389.2
TCGA-06-0743-01A
69 years, male, white, stage:'--, dead, 803 days
386.4
TCGA-06-0749-01A
50 years, male, black or african american, stage:'--, dead, 82 days
385.1
TCGA-28-5220-01A
67 years, male, white, stage:'--, dead, 388 days
383.7
TCGA-41-5651-01A
59 years, female, black or african american, stage:'--, dead, 460 days
383.6
TCGA-02-2485-01A
53 years, male, black or african american, stage:'--, alive, 470 days
380.2
TCGA-02-2486-01A
64 years, male, white, stage:'--, dead, 618 days
378.7
TCGA-41-3915-01A
48 years, male, white, stage:'--, dead, 360 days
376.4
TCGA-16-0846-01A
85 years, male, white, stage:'--, dead, 119 days
371.3
TCGA-32-2615-01A
62 years, male, white, stage:'--, dead, 485 days
369.4
TCGA-28-5218-01A
63 years, male, white, stage:'--, dead, 157 days
365.2
TCGA-26-5133-01A
59 years, male, white, stage:'--, alive, 452 days
364.9
TCGA-06-0750-01A
43 years, male, white, stage:'--, dead, 28 days
362.1
TCGA-32-2638-01A
67 years, male, white, stage:'--, dead, 766 days
360.8
TCGA-14-0871-01A
74 years, female, white, stage:'--, dead, 880 days
357.8
TCGA-06-0158-01A
73 years, male, white, stage:'--, dead, 329 days
356.7
TCGA-14-0789-01A
54 years, male, white, stage:'--, dead, 342 days
355.5
TCGA-06-5416-01A
23 years, female, white, stage:'--, alive, 204 days
348.8
TCGA-06-2557-01A
76 years, male, black or african american, stage:'--, dead, 33 days
348.7
TCGA-06-0156-01A
57 years, male, white, stage:'--, dead, 178 days
348.0
TCGA-27-1830-01A
57 years, male, white, stage:'--, dead, 154 days
347.5
TCGA-27-1834-01A
56 years, male, white, stage:'--, dead, 1233 days
345.7
TCGA-06-5411-01A
51 years, male, white, stage:'--, dead, 254 days
340.4
TCGA-32-5222-01A
66 years, male, white, stage:'--, dead, 585 days
340.4
TCGA-32-1982-01A
76 years, female, white, stage:'--, dead, 142 days
339.6
TCGA-06-2558-01A
75 years, female, white, stage:'--, dead, 380 days
339.4
TCGA-06-5859-01A
63 years, male, white, stage:'--, alive, 139 days
338.1
TCGA-27-1832-01A
59 years, female, white, stage:'--, dead, 300 days
330.6
TCGA-14-2554-01A
52 years, female, white, stage:'--, dead, 532 days
329.3
TCGA-06-2562-01A
81 years, male, white, stage:'--, dead, 382 days
327.6
TCGA-06-2561-01A
53 years, female, white, stage:'--, dead, 537 days
324.0
TCGA-12-3652-01A
60 years, male, white, stage:'--, dead, 1062 days
319.6
TCGA-27-1835-01A
53 years, female, white, stage:'--, dead, 648 days
318.4
TCGA-28-5215-01A
62 years, female, white, stage:'--, dead, 335 days
318.2
TCGA-14-0817-01A
69 years, female, white, stage:'--, dead, 164 days
317.0
TCGA-32-2634-01A
82 years, male, white, stage:'--, alive, 693 days
315.4
TCGA-02-0047-01A
78 years, male, white, stage:'--, dead, 448 days
313.8
TCGA-27-2528-01A
62 years, male, white, stage:'--, dead, 480 days
296.9
TCGA-28-5216-01A
52 years, male, white, stage:'--, alive, 415 days
294.8
TCGA-02-2483-01A
43 years, male, asian, stage:'--, alive, 466 days
289.7
TCGA-06-0138-01A
43 years, male, white, stage:'--, dead, 737 days
285.9
TCGA-19-4065-01A
36 years, male, white, stage:'--, alive, 214 days
279.9
TCGA-41-4097-01A
63 years, female, white, stage:'--, dead, 6 days
278.3
TCGA-28-5208-01A
52 years, male, white, stage:'--, dead, 544 days
276.7
TCGA-15-1444-01A
21 years, male, white, stage:'--, dead, 1537 days
273.7
TCGA-02-0055-01A
62 years, female, white, stage:'--, dead, 76 days
271.6
TCGA-06-2570-01A
21 years, female, white, stage:'--, alive, 958 days
270.2
TCGA-06-0129-01A
30 years, male, asian, stage:'--, dead, 1024 days
268.0
TCGA-06-5410-01A
72 years, female, white, stage:'--, dead, 108 days
267.0
TCGA-19-2620-01A
70 years, male, white, stage:'--, dead, 148 days
260.9
TCGA-06-2565-01A
59 years, male, asian, stage:'--, dead, 506 days
259.4
TCGA-06-0132-01A
49 years, male, white, stage:'--, dead, 771 days
259.2
TCGA-06-0238-01A
46 years, male, white, stage:'--, dead, 405 days
256.7
TCGA-06-2569-01A
24 years, female, black or african american, stage:'--, alive, 13 days
252.9
TCGA-32-1980-01A
72 years, male, white, stage:'--, dead, 36 days
248.4
TCGA-06-0139-01A
40 years, male, white, stage:'--, dead, 362 days
231.2
TCGA-26-1442-01A
43 years, male, white, stage:'--, alive, 953 days
216.8
TCGA-06-5417-01A
45 years, female, white, stage:'--, alive, 155 days
216.7
TCGA-14-1823-01A
58 years, female, white, stage:'--, dead, 543 days
215.3
TCGA-06-0141-01A
62 years, male, white, stage:'--, dead, 313 days
201.4
TCGA-32-4213-01A
47 years, female, white, stage:'--, alive, 604 days
200.1
TCGA-06-0178-01A
38 years, male, white, stage:'--, dead, 2681 days
199.1
TCGA-27-1831-01A
66 years, male, white, stage:'--, dead, 505 days
180.2
TCGA-06-0219-01A
67 years, male, white, stage:'--, dead, 22 days
175.7
TCGA-14-1829-01A
57 years, male, black or african american, stage:'--, alive, 218 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.
GNB2 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.
: 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 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
19.4
Number of samples
58
Samples
Sample
Description
TPM
AK088
N, NA, stage:NA, dead, 360 days
40.6
AK165
N, NA, stage:NA, alive, 360 days
39.6
AK072
N, NA, stage:NA, dead, 150 days
36.1
AK098
N, NA, stage:NA, dead, 660 days
35.1
AK236
N, NA, stage:NA, dead, 360 days
32.8
AK213
N, NA, stage:NA, alive, 2010 days
30.4
AK074
N, NA, stage:NA, alive, 300 days
29.2
AK068
N, NA, stage:NA, alive, 360 days
28.3
AK195
N, NA, stage:NA, dead, 390 days
27.5
AK053
N, NA, stage:NA, dead, 300 days
27.4
AK091
N, NA, stage:NA, dead, 210 days
26.5
AK178
N, NA, stage:NA, dead, 240 days
24.4
AK089
N, NA, stage:NA, dead, 330 days
24.2
AK049
N, NA, stage:NA, dead, 180 days
23.1
AK055
N, NA, stage:NA, dead, 240 days
22.9
AK149
N, NA, stage:NA, dead, 420 days
22.6
AK123
N, NA, stage:NA, dead, 180 days
22.2
AK227
N, NA, stage:NA, alive, 300 days
21.8
AK183
N, NA, stage:NA, alive, 360 days
21.7
AK188
N, NA, stage:NA, alive, 420 days
21.6
AK153
N, NA, stage:NA, dead, 240 days
21.5
AK134
N, NA, stage:NA, dead, 360 days
21.4
AK043
N, NA, stage:NA, alive, 660 days
21.4
AK185
N, NA, stage:NA, alive, 330 days
20.8
AK218
N, NA, stage:NA, dead, 180 days
20.4
AK035
N, NA, stage:NA, dead, 210 days
19.9
AK142
N, NA, stage:NA, alive, 90 days
19.5
AK167
N, NA, stage:NA, dead, 180 days
19.4
AK158
N, NA, stage:NA, dead, 360 days
19.2
AK139
N, NA, stage:NA, dead, 270 days
18.1
AK071
N, NA, stage:NA, dead, 540 days
17.9
AK005
N, NA, stage:NA, dead, 240 days
17.7
AK226
N, NA, stage:NA, dead, 360 days
17.5
AK133
N, NA, stage:NA, dead, 360 days
17.3
AK006
N, NA, stage:NA, dead, 360 days
16.7
AK100
N, NA, stage:NA, alive, 960 days
16.3
AK216
N, NA, stage:NA, dead, 360 days
16.2
AK051
N, NA, stage:NA, dead, 360 days
15.7
AK076
N, NA, stage:NA, alive, 660 days
15.1
AK002
N, NA, stage:NA, dead, 570 days
14.8
AK079
N, NA, stage:NA, dead, 210 days
14.6
AK117
N, NA, stage:NA, dead, 210 days
14.4
AK124
N, NA, stage:NA, alive, 1920 days
14.3
AK085
N, NA, stage:NA, alive, 660 days
13.5
AK199
N, NA, stage:NA, alive, 1860 days
13.3
AK081
N, NA, stage:NA, dead, 180 days
13.1
AK099
N, NA, stage:NA, dead, 420 days
12.8
AK231
N, NA, stage:NA, dead, 240 days
12.7
AK030
N, NA, stage:NA, dead, 120 days
12.3
AK015
N, NA, stage:NA, alive, 720 days
11.4
AK066
N, NA, stage:NA, alive, 960 days
10.9
AK041
N, NA, stage:NA, alive, 810 days
10.4
AK173
N, NA, stage:NA, dead, 180 days
9.7
AK156
N, NA, stage:NA, dead, 330 days
7.8
AK003
N, NA, stage:NA, dead, 600 days
7.7
AK205
N, NA, stage:NA, dead, 120 days
7.6
AK102
N, NA, stage:NA, alive, 1740 days
7.4
AK103
N, NA, stage:NA, alive, 1320 days
6.9
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GLIOBLASTOMA MULTIFORME - Protein relative expression (CPTAC)
Number of samples
110
Samples
Sample ID
Sample type
nRPX
CPT0204420003
Normal
1.4
CPT0204370003
Normal
1.4
CPT0204340003
Normal
1.3
CPT0204410003
Normal
1.3
CPT0204390003
Normal
1.3
CPT0204400003
Normal
1.3
CPT0204330003
Normal
1.3
CPT0204380003
Normal
1.3
CPT0204360003
Normal
1.2
CPT0204350003
Normal
1.2
CPT0201710003
Tumor
0.5
CPT0221180003
Tumor
0.5
CPT0206330003
Tumor
0.4
CPT0219080004
Tumor
0.3
CPT0224330003
Tumor
0.3
CPT0190240004
Tumor
0.2
CPT0206880003
Tumor
0.2
CPT0199770003
Tumor
0.2
CPT0196850003
Tumor
0.2
CPT0162140003
Tumor
0.2
CPT0206450003
Tumor
0.2
CPT0218670003
Tumor
0.1
CPT0217880003
Tumor
0.1
CPT0217000004
Tumor
0.1
CPT0189250003
Tumor
0.1
CPT0218890004
Tumor
0.1
CPT0104220003
Tumor
0.1
CPT0175060003
Tumor
0.1
CPT0206110003
Tumor
0.1
CPT0168270003
Tumor
0.1
CPT0209440003
Tumor
0.1
CPT0125220003
Tumor
0.0
CPT0189460003
Tumor
0.0
CPT0162100003
Tumor
0.0
CPT0225760003
Tumor
0.0
CPT0182550003
Tumor
0.0
CPT0168380003
Tumor
0.0
CPT0162020003
Tumor
0.0
CPT0104330003
Tumor
0.0
CPT0087950003
Tumor
0.0
CPT0218960004
Tumor
0.0
CPT0093590003
Tumor
0.0
CPT0206230003
Tumor
-0.1
CPT0217100003
Tumor
-0.1
CPT0190360004
Tumor
-0.1
CPT0205890003
Tumor
-0.1
CPT0189650004
Tumor
-0.1
CPT0087570003
Tumor
-0.1
CPT0218690004
Tumor
-0.1
CPT0189750004
Tumor
-0.1
CPT0189850004
Tumor
-0.1
CPT0182580003
Tumor
-0.2
CPT0217190003
Tumor
-0.2
CPT0167640003
Tumor
-0.2
CPT0225730003
Tumor
-0.2
CPT0208980003
Tumor
-0.2
CPT0093360003
Tumor
-0.2
CPT0205570003
Tumor
-0.2
CPT0182500003
Tumor
-0.2
CPT0087730003
Tumor
-0.2
CPT0092440003
Tumor
-0.2
CPT0207030003
Tumor
-0.2
CPT0125510003
Tumor
-0.2
CPT0127420003
Tumor
-0.2
CPT0079790003
Tumor
-0.3
CPT0205450004
Tumor
-0.3
CPT0168590003
Tumor
-0.3
CPT0168720003
Tumor
-0.3
CPT0002410011
Tumor
-0.3
CPT0186100003
Tumor
-0.3
CPT0205780003
Tumor
-0.3
CPT0127480003
Tumor
-0.3
CPT0071100003
Tumor
-0.3
CPT0064650003
Tumor
-0.3
CPT0217060003
Tumor
-0.3
CPT0087680003
Tumor
-0.3
CPT0218770003
Tumor
-0.3
CPT0167970003
Tumor
-0.4
CPT0167750004
Tumor
-0.4
CPT0064890003
Tumor
-0.4
CPT0167530003
Tumor
-0.4
CPT0168480003
Tumor
-0.4
CPT0078580003
Tumor
-0.4
CPT0206000004
Tumor
-0.4
CPT0205670004
Tumor
-0.4
CPT0206780003
Tumor
-0.4
CPT0224600003
Tumor
-0.4
CPT0168830003
Tumor
-0.4
CPT0123530003
Tumor
-0.4
CPT0216920008
Tumor
-0.4
CPT0089150003
Tumor
-0.4
CPT0167860004
Tumor
-0.4
CPT0228220003
Tumor
-0.5
CPT0125570003
Tumor
-0.5
CPT0171580008
Tumor
-0.5
CPT0093510003
Tumor
-0.5
CPT0161730003
Tumor
-0.5
CPT0218330004
Tumor
-0.5
CPT0093450003
Tumor
-0.5
CPT0217710008
Tumor
-0.6
CPT0093550003
Tumor
-0.6
CPT0218830004
Tumor
-0.6
CPT0224540004
Tumor
-0.6
CPT0189570004
Tumor
-0.6
CPT0224390004
Tumor
-0.6
CPT0206670004
Tumor
-0.7
CPT0217430008
Tumor
-0.8
CPT0206560003
Tumor
-0.8
CPT0168080003
Tumor
-0.8
CPT0207090003
Tumor
-0.9
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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.