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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.
IGKV3-15 is not prognostic in Colon Adenocarcinoma (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
128.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1663.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1277.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1037.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
850.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
816.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
807.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
803.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
778.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
733.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
713.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
712.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
651.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
631.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
511.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
480.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
480.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
412.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
388.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
375.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
365.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
362.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
359.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
349.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
348.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
339.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
335.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
321.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
316.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
310.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
306.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
290.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
288.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
283.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
274.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
261.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
252.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
248.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
242.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
241.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
241.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
229.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
224.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
219.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
214.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
211.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
209.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
202.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
202.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
199.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
197.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
195.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
190.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
189.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
183.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
181.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
181.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
171.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
167.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
165.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
165.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
165.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
163.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
163.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
161.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
158.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
155.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
153.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
145.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
144.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
138.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
137.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
137.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
136.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
133.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
131.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
126.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
124.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
122.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
122.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
119.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
118.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
114.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
109.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
107.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
103.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
102.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
101.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
99.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
97.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
96.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
93.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
91.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
91.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
90.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
90.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
86.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
85.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
84.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
84.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
83.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
82.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
81.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
78.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
77.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
74.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
71.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
69.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
65.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
64.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
63.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
62.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
62.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
60.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
60.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
56.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
54.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
53.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
52.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
51.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
51.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
51.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
50.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
48.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
48.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
47.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
47.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
47.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
47.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
45.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
45.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
44.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
43.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
43.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
42.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
41.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
41.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
40.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
40.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
39.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
39.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
38.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
37.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
36.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
36.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
35.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
35.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
35.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
34.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
34.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
33.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
33.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
33.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
32.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
30.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
29.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
27.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
27.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
26.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
26.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
23.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
23.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
23.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
22.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
22.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
22.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
22.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
21.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
19.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
17.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
15.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
14.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
13.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
13.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
12.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
11.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
10.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
9.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
9.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
9.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
9.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
8.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
8.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
7.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
7.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
7.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
7.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
7.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
7.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
6.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
6.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
6.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
5.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
5.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
5.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
4.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
4.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
3.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
3.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
3.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
3.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
2.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 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.
IGKV3-15 is not prognostic in Colon Adenocarcinoma (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
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
225.6
Number of samples
486
Samples
Sample
Description
TPM
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1963.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1668.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
1523.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
1017.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
981.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
967.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
927.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
874.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
860.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
853.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
851.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
843.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
831.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
808.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
805.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
804.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
790.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
776.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
733.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
732.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
719.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
703.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
681.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
662.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
660.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
643.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
641.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
637.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
633.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
631.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
627.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
625.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
616.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
611.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
607.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
595.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
581.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
578.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
563.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
563.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
559.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
558.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
558.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
555.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
544.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
523.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
522.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
492.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
484.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
482.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
481.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
477.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
475.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
469.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
469.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
467.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
459.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
458.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
457.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
455.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
454.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
445.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
444.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
443.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
441.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
439.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
431.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
424.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
424.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
423.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
420.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
417.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
417.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
413.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
404.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
402.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
400.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
398.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
397.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
394.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
393.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
391.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
389.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
388.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
388.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
381.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
375.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
369.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
364.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
362.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
362.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
362.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
361.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
358.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
355.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
352.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
351.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
349.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
349.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
343.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
343.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
342.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
341.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
339.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
333.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
331.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
324.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
320.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
320.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
312.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
311.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
309.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
309.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
307.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
307.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
307.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
307.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
304.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
303.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
301.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
299.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
299.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
298.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
295.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
294.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
294.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
294.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
294.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
293.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
289.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
289.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
286.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
285.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
285.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
284.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
283.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
283.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
281.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
278.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
278.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
278.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
275.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
275.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
274.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
271.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
269.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
269.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
264.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
264.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
263.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
262.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
261.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
258.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
255.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
254.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
250.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
248.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
248.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
247.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
244.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
243.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
243.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
242.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
241.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
239.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
238.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
236.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
233.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
232.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
232.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
231.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
230.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
229.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
228.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
225.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
224.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
223.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
223.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
223.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
222.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
222.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
221.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
220.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
218.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
216.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
213.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
210.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
207.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
206.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
206.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
205.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
204.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
203.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
203.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
201.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
200.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
200.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
198.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
198.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
197.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
197.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
196.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
194.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
193.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
193.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
191.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
191.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
191.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
188.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
187.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
186.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
186.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
185.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
185.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
183.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
183.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
183.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
183.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
182.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
180.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
180.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
179.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
178.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
177.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
177.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
176.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
176.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
175.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
174.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
174.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
173.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
172.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
171.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
170.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
168.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
168.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
167.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
165.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
165.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
162.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
162.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
161.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
158.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
158.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
157.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
157.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
156.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
156.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
155.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
154.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
154.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
153.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
153.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
152.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
149.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
149.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
148.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
148.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
147.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
147.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
145.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
145.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
143.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
143.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
142.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
140.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
138.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
138.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
138.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
137.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
136.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
135.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
134.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
133.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
133.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
133.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
132.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
132.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
131.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
128.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
127.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
127.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
125.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
125.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
124.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
124.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
123.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
123.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
123.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
122.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
122.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
121.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
119.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
119.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
117.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
116.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
116.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
115.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
114.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
114.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
114.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
113.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
112.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
112.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
112.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
112.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
110.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
110.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
109.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
108.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
108.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
107.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
106.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
105.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
105.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
105.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
103.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
103.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
102.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
101.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
101.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
100.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
100.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
99.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
99.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
99.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
99.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
98.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
97.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
97.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
96.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
94.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
93.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
93.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
92.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
92.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
92.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
92.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
91.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
90.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
88.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
88.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
87.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
85.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
85.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
83.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
81.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
80.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
80.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
78.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
77.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
77.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
76.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
74.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
74.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
73.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
70.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
70.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
70.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
68.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
68.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
66.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
65.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
65.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
64.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
64.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
63.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
62.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
62.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
62.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
62.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
61.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
61.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
61.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
60.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
60.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
59.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
59.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
58.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
58.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
58.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
57.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
56.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
56.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
55.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
55.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
55.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
55.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
54.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
53.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
53.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
53.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
53.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
53.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
52.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
50.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
49.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
48.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
48.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
48.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
48.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
47.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
47.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
47.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
47.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
46.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
46.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
45.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
44.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
41.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
41.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
41.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
40.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
39.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
37.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
36.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
36.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
34.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
34.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
32.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
31.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
30.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
29.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
29.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
29.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
29.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
29.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
28.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
28.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
28.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
28.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
28.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
27.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
27.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
25.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
24.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
23.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
22.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
21.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
21.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
20.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
20.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
19.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
19.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
19.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
19.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
18.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
18.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
18.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
15.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
15.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
14.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
14.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
14.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
14.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
12.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
11.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
11.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
10.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
9.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
6.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
6.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
6.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
6.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
5.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
5.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
5.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
5.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
4.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
4.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
4.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
3.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
3.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
3.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
2.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
2.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 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.
IGKV3-15 is not prognostic in Rectum Adenocarcinoma (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
129.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1788.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1236.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
804.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
638.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
574.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
447.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
435.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
334.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
295.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
293.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
283.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
281.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
255.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
234.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
227.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
210.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
161.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
138.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
127.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
123.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
119.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
117.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
117.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
116.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
96.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
93.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
90.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
90.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
83.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
81.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
78.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
75.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
72.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
71.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
65.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
63.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
60.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
60.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
57.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
53.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
48.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
46.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
45.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
44.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
37.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
37.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
36.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
35.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
35.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
32.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
31.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
30.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
29.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
29.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
29.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
27.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
24.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
24.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
23.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
22.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
21.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
19.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
16.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
13.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
11.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
11.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
11.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
9.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
5.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
4.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
4.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
3.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
2.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
IGKV3-15 is not prognostic in Rectum Adenocarcinoma (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
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
240.5
Number of samples
207
Samples
Sample
Description
TPM
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1286.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
1271.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
1243.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1104.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1030.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
1024.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
867.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
827.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
771.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
759.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
743.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
736.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
685.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
619.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
609.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
606.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
601.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
552.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
550.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
550.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
536.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
522.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
511.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
508.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
503.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
471.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
470.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
467.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
465.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
444.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
442.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
442.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
437.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
432.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
430.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
424.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
416.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
403.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
402.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
388.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
382.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
381.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
374.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
363.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
357.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
348.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
340.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
338.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
331.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
321.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
317.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
311.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
301.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
300.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
297.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
296.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
295.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
287.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
285.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
281.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
279.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
277.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
276.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
275.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
275.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
275.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
270.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
268.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
263.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
263.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
258.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
256.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
253.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
252.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
251.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
246.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
244.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
244.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
240.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
232.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
229.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
227.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
222.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
221.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
221.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
216.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
214.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
212.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
211.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
207.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
195.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
194.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
193.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
193.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
188.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
188.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
183.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
180.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
180.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
177.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
176.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
175.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
173.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
172.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
170.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
169.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
168.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
167.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
161.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
157.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
156.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
155.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
154.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
153.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
153.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
149.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
147.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
146.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
146.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
141.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
141.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
137.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
136.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
133.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
133.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
132.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
132.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
125.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
121.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
120.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
118.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
118.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
117.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
114.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
109.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
108.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
108.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
105.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
105.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
103.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
101.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
98.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
94.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
90.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
89.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
85.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
82.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
81.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
80.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
76.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
72.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
68.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
66.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
66.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
65.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
64.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
62.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
62.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
60.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
58.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
58.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
57.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
55.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
52.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
51.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
47.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
41.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
40.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
40.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
37.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
36.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
32.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
30.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
26.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
25.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
24.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
24.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
23.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
23.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
20.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
19.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
19.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
18.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
17.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
16.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
12.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
11.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
9.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
8.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
7.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
7.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
7.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
6.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
4.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
3.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
2.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL 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.
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.
The Human Protein Atlas project is funded
