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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.
IGKV1-5 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
103.8
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
1961.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1800.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
994.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
710.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
562.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
534.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
530.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
507.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
469.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
457.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
449.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
439.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
413.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
406.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
384.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
380.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
338.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
326.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
319.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
310.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
306.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
301.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
276.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
276.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
275.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
269.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
259.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
256.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
252.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
251.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
249.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
242.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
234.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
210.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
209.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
203.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
202.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
198.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
197.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
194.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
188.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
187.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
180.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
170.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
169.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
169.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
153.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
152.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
150.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
150.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
142.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
139.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
137.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
135.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
135.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
134.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
132.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
128.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
128.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
128.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
126.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
122.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
119.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
116.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
116.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
111.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
108.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
107.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
107.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
107.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
91.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
90.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
90.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
89.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
88.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
88.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
86.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
82.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
80.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
79.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
79.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
79.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
78.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
76.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
74.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
73.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
72.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
72.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
72.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
72.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
71.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
67.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
64.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
63.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
62.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
61.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
61.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
60.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
59.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
59.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
57.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
57.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
56.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
55.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
54.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
54.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
54.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
54.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
52.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
52.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
52.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
50.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
50.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
49.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
49.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
47.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
47.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
46.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
45.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
45.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
45.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
42.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
41.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
41.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
40.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
38.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
37.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
36.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
36.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
36.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
36.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
36.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
34.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
34.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
34.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
34.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
33.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
33.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
32.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
32.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
31.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
31.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
29.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
27.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
26.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
24.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
23.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
23.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
22.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
22.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
21.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
20.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
20.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
20.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
19.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
19.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
18.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
17.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
16.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
15.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
15.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
14.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
14.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
12.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
12.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
12.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
12.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
12.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
11.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
11.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
11.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
11.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
11.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
10.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
10.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
10.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
10.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
10.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
9.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
9.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
7.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
6.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
6.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
6.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
5.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
5.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
5.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
5.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
5.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
4.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
4.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
4.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
3.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
3.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
2.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
0.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 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.
IGKV1-5 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
252.3
Number of samples
486
Samples
Sample
Description
TPM
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
3291.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
2079.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
1671.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1636.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
1414.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1302.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1271.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1205.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
1116.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1041.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
980.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
974.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
940.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
918.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
915.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
861.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
829.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
809.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
801.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
798.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
779.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
777.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
752.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
752.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
750.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
729.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
724.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
706.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
705.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
698.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
632.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
630.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
630.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
623.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
614.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
613.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
612.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
610.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
597.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
590.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
575.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
569.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
567.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
562.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
561.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
557.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
556.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
542.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
541.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
538.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
537.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
532.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
530.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
519.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
503.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
502.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
499.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
498.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
496.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
494.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
493.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
493.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
473.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
467.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
464.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
461.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
455.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
455.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
453.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
452.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
450.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
448.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
440.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
435.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
434.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
427.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
424.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
422.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
421.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
416.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
412.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
411.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
403.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
400.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
399.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
397.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
394.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
394.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
390.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
389.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
388.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
387.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
386.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
380.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
377.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
376.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
373.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
372.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
370.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
369.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
368.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
368.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
367.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
365.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
362.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
361.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
361.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
360.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
360.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
358.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
357.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
350.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
349.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
349.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
347.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
341.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
337.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
336.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
330.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
328.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
327.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
323.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
322.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
321.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
321.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
321.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
320.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
319.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
310.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
309.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
309.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
307.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
307.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
305.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
303.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
302.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
299.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
298.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
297.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
296.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
295.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
294.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
290.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
290.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
289.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
288.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
285.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
285.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
284.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
283.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
281.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
279.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
279.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
279.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
278.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
278.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
278.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
277.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
276.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
270.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
270.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
265.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
265.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
264.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
262.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
261.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
261.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
260.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
259.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
259.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
258.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
254.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
253.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
250.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
249.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
248.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
248.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
245.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
244.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
244.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
244.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
243.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
242.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
240.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
239.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
239.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
238.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
237.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
236.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
233.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
233.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
231.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
231.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
227.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
226.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
226.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
224.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
223.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
223.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
222.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
222.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
221.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
217.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
217.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
216.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
216.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
215.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
212.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
210.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
210.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
209.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
209.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
208.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
206.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
205.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
205.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
201.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
200.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
200.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
199.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
195.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
195.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
194.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
193.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
193.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
193.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
191.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
189.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
189.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
188.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
188.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
188.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
186.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
184.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
182.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
182.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
181.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
180.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
179.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
179.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
179.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
178.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
178.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
177.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
177.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
177.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
176.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
176.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
176.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
176.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
174.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
173.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
172.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
172.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
169.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
168.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
166.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
166.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
165.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
164.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
164.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
163.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
162.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
162.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
160.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
159.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
159.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
158.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
158.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
157.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
157.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
156.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
155.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
155.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
154.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
153.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
152.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
152.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
151.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
151.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
151.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
149.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
148.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
147.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
145.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
144.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
144.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
142.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
142.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
140.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
139.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
136.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
135.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
135.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
134.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
134.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
134.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
131.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
128.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
127.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
127.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
125.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
124.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
124.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
123.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
123.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
120.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
119.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
116.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
116.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
115.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
115.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
114.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
113.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
111.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
111.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
110.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
110.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
109.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
108.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
108.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
107.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
106.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
104.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
102.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
102.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
102.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
101.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
101.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
100.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
99.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
98.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
97.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
97.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
96.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
96.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
95.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
94.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
94.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
91.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
91.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
91.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
90.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
89.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
89.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
87.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
85.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
85.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
84.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
84.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
83.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
82.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
82.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
81.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
81.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
79.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
79.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
78.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
78.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
78.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
78.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
77.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
77.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
74.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
73.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
73.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
72.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
71.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
71.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
69.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
67.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
67.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
67.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
66.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
66.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
66.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
66.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
65.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
63.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
63.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
63.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
61.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
61.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
60.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
58.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
58.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
57.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
56.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
54.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
52.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
51.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
50.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
49.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
49.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
49.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
49.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
48.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
48.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
48.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
47.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
47.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
45.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
44.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
43.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
43.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
40.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
39.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
39.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
38.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
37.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
35.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
35.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
33.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
33.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
33.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
32.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
32.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
30.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
29.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
29.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
29.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
28.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
27.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
27.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
26.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
24.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
24.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
23.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
22.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
21.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
21.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
20.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
20.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
20.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
20.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
19.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
19.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
18.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
18.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
15.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
15.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
15.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
14.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
12.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
12.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
12.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
11.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
11.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
10.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
10.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
9.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
9.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
9.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
9.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
8.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
8.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
8.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
7.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
6.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
5.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
5.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
5.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
4.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
3.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
3.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
3.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
1.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 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.
IGKV1-5 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
84.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
593.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
535.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
478.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
419.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
345.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
322.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
309.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
289.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
271.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
270.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
249.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
244.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
227.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
197.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
189.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
180.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
118.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
106.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
104.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
99.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
96.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
94.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
91.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
79.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
76.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
69.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
67.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
67.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
50.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
46.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
44.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
44.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
42.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
42.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
41.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
41.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
40.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
40.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
38.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
36.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
33.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
32.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
32.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
32.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
31.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
31.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
28.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
26.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
26.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
25.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
25.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
25.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
25.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
25.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
22.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
20.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
19.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
17.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
17.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
17.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
16.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
10.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
10.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
10.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
6.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
6.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
6.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
5.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
3.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 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.
IGKV1-5 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
287.6
Number of samples
207
Samples
Sample
Description
TPM
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1402.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
1380.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
1344.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
1153.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1074.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1019.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
982.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
974.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
941.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
906.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
872.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
824.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
794.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
793.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
778.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
729.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
720.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
711.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
711.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
690.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
678.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
673.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
666.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
664.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
656.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
648.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
628.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
627.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
598.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
592.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
571.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
568.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
513.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
490.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
485.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
480.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
474.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
468.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
462.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
460.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
449.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
448.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
447.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
442.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
439.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
437.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
426.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
424.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
422.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
412.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
404.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
389.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
388.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
382.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
379.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
377.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
375.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
363.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
361.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
353.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
352.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
351.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
346.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
343.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
342.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
341.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
340.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
331.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
330.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
330.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
321.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
310.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
310.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
295.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
292.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
284.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
281.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
271.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
266.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
263.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
262.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
258.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
254.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
252.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
250.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
243.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
239.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
233.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
230.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
227.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
226.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
223.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
221.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
220.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
215.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
214.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
211.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
209.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
207.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
207.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
204.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
202.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
202.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
202.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
199.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
196.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
196.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
193.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
192.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
190.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
190.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
188.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
182.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
182.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
181.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
181.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
178.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
177.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
175.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
172.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
172.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
171.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
169.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
166.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
161.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
160.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
159.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
153.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
150.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
150.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
149.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
146.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
145.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
141.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
141.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
136.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
136.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
128.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
125.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
119.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
118.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
114.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
114.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
111.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
110.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
105.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
101.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
100.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
95.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
94.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
91.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
90.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
88.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
87.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
84.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
82.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
81.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
81.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
81.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
79.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
76.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
76.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
69.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
67.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
67.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
67.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
64.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
63.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
62.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
62.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
62.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
56.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
53.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
52.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
40.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
32.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
32.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
31.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
31.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
26.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
25.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
23.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
23.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
23.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
20.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
19.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
19.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
17.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
16.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
14.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
14.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
10.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
9.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
9.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
8.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
7.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
5.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
4.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
2.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
2.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
0.5
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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
