We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
IGHV3-23 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
154.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
2099.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1587.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1332.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1277.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
977.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
886.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
839.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
825.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
781.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
752.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
699.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
699.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
649.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
555.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
553.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
548.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
540.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
537.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
531.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
531.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
518.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
504.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
504.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
480.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
439.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
429.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
427.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
422.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
402.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
389.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
384.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
374.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
368.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
360.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
353.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
337.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
301.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
293.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
292.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
290.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
260.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
255.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
242.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
227.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
227.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
226.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
225.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
223.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
222.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
218.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
217.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
216.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
214.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
212.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
210.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
209.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
205.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
205.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
205.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
201.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
197.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
193.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
192.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
190.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
184.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
181.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
181.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
179.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
173.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
165.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
165.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
164.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
161.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
161.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
160.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
157.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
154.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
152.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
150.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
149.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
149.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
142.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
139.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
136.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
135.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
134.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
133.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
132.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
124.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
121.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
119.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
116.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
111.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
111.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
109.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
109.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
105.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
103.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
102.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
91.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
89.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
89.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
87.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
86.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
85.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
83.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
82.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
80.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
79.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
78.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
76.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
76.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
74.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
73.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
73.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
71.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
69.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
68.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
68.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
64.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
64.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
64.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
63.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
63.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
62.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
62.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
61.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
60.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
59.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
59.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
57.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
56.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
49.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
49.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
49.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
46.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
45.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
45.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
42.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
40.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
39.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
38.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
35.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
33.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
32.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
31.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
31.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
30.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
30.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
30.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
29.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
29.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
28.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
28.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
28.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
27.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
26.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
24.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
24.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
24.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
21.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
20.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
19.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
18.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
16.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
15.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
15.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
14.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
14.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
14.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
13.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
13.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
13.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
12.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
12.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
11.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
11.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
11.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
10.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
8.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
8.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
8.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
6.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
6.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
5.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
5.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
5.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
5.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
5.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
5.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
5.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
4.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
4.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
4.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
4.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
4.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
4.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
3.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
3.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
3.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
2.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
2.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.2
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.
IGHV3-23 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
390.4
Number of samples
486
Samples
Sample
Description
TPM
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
3448.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
2991.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
2585.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
2415.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
2178.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
1971.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1815.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1813.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
1810.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1754.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1660.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1658.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
1559.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1527.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1467.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1453.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1352.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
1305.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1273.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
1215.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1190.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
1186.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
1186.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1170.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1163.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1153.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
1145.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
1120.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
1116.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
1102.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1082.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
1063.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
1062.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1057.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1046.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1046.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1038.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1033.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
984.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
974.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
959.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
959.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
949.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
948.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
942.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
927.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
921.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
921.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
916.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
915.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
888.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
884.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
878.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
873.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
872.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
858.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
826.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
810.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
790.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
752.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
752.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
748.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
747.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
736.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
732.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
732.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
728.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
727.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
725.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
720.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
715.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
713.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
708.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
669.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
658.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
651.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
651.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
650.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
649.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
649.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
627.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
624.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
615.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
612.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
607.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
607.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
601.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
595.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
595.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
593.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
590.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
590.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
588.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
583.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
583.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
578.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
571.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
570.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
570.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
570.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
570.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
564.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
564.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
562.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
555.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
547.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
545.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
544.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
544.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
543.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
535.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
532.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
530.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
526.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
524.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
523.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
520.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
507.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
506.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
499.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
498.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
498.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
492.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
489.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
489.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
484.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
481.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
480.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
478.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
474.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
468.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
466.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
462.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
462.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
459.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
455.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
450.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
449.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
445.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
444.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
443.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
439.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
439.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
439.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
438.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
436.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
436.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
433.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
433.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
419.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
419.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
414.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
411.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
410.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
408.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
408.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
407.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
405.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
404.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
403.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
403.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
393.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
391.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
391.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
389.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
387.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
387.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
387.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
386.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
383.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
382.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
380.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
380.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
380.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
380.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
375.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
372.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
371.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
367.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
366.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
366.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
366.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
362.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
362.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
361.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
360.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
359.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
356.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
356.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
354.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
353.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
352.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
351.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
350.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
350.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
349.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
348.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
346.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
345.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
344.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
342.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
338.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
336.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
334.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
330.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
329.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
328.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
327.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
324.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
319.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
317.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
316.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
316.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
314.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
313.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
312.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
311.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
310.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
308.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
304.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
303.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
303.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
303.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
302.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
301.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
301.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
300.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
298.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
297.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
296.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
294.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
294.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
288.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
288.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
285.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
285.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
284.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
281.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
280.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
278.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
277.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
277.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
275.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
273.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
271.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
270.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
265.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
264.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
263.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
262.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
259.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
259.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
257.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
255.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
252.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
252.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
252.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
246.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
241.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
241.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
237.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
237.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
236.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
235.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
235.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
234.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
233.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
233.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
232.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
232.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
232.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
231.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
231.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
230.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
230.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
228.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
227.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
227.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
226.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
221.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
220.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
218.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
216.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
216.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
216.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
216.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
214.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
214.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
214.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
212.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
210.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
208.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
208.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
207.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
207.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
206.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
205.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
205.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
204.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
203.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
203.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
200.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
199.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
199.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
197.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
197.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
197.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
196.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
195.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
194.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
193.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
193.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
192.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
192.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
191.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
188.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
184.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
182.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
182.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
174.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
173.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
171.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
170.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
169.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
168.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
166.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
166.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
164.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
162.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
158.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
157.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
157.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
156.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
156.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
156.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
154.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
152.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
146.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
146.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
145.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
145.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
144.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
141.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
139.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
137.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
136.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
135.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
133.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
133.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
133.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
129.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
129.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
128.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
127.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
126.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
123.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
123.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
122.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
121.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
121.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
120.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
120.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
118.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
118.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
117.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
116.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
111.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
111.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
110.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
109.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
108.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
108.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
107.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
106.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
106.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
105.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
102.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
102.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
100.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
99.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
98.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
97.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
97.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
96.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
94.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
94.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
93.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
92.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
92.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
91.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
87.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
87.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
87.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
87.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
82.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
82.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
81.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
80.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
80.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
79.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
79.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
79.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
79.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
78.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
78.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
78.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
76.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
76.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
73.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
73.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
71.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
70.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
70.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
69.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
69.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
68.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
68.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
68.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
65.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
61.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
60.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
60.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
59.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
57.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
57.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
56.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
55.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
54.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
54.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
53.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
52.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
50.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
50.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
48.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
44.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
41.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
41.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
40.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
39.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
39.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
37.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
36.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
35.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
34.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
32.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
32.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
32.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
31.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
30.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
29.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
29.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
28.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
25.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
25.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
24.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
23.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
23.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
22.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
22.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
22.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
21.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
21.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
20.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
18.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
16.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
12.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
12.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
11.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
11.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
11.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
10.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
9.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
9.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
9.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
9.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
9.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
8.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
7.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
4.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
3.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
2.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGHV3-23 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
150.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1192.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1084.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
986.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
875.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
782.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
663.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
643.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
482.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
439.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
435.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
373.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
343.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
327.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
299.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
244.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
226.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
221.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
214.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
193.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
184.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
181.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
171.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
155.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
149.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
115.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
106.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
102.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
100.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
87.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
85.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
83.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
78.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
75.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
72.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
71.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
66.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
62.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
58.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
56.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
56.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
55.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
54.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
53.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
52.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
51.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
49.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
48.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
47.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
45.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
43.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
39.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
38.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
38.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
34.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
29.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
28.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
25.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
24.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
22.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
22.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
19.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
18.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
18.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
15.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
15.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
15.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
13.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
11.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
10.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
9.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
9.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
8.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
8.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
7.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
6.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
6.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
5.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
3.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
IGHV3-23 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
438.0
Number of samples
207
Samples
Sample
Description
TPM
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
3567.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
3268.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
2602.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1727.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
1676.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
1634.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
1612.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
1390.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1339.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1330.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
1291.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
1280.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
1250.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1233.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
1161.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1057.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
1007.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
991.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
987.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
973.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
968.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
932.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
847.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
841.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
827.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
811.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
807.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
795.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
786.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
770.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
767.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
763.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
761.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
754.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
749.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
740.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
732.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
715.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
676.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
672.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
663.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
656.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
652.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
627.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
626.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
619.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
603.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
602.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
577.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
577.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
570.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
569.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
567.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
567.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
563.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
563.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
561.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
558.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
556.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
555.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
551.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
550.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
541.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
531.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
529.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
524.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
499.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
491.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
479.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
479.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
472.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
470.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
459.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
458.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
442.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
428.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
425.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
418.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
414.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
408.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
405.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
403.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
402.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
401.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
395.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
383.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
362.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
359.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
358.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
355.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
354.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
349.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
339.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
332.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
331.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
328.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
328.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
322.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
318.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
314.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
313.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
311.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
310.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
310.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
306.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
306.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
303.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
300.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
299.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
294.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
294.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
292.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
287.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
282.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
276.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
272.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
272.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
271.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
270.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
267.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
255.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
255.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
252.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
241.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
235.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
228.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
226.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
212.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
200.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
198.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
195.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
193.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
192.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
192.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
189.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
186.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
185.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
171.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
170.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
166.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
164.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
159.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
156.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
152.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
151.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
146.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
139.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
135.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
134.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
134.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
133.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
132.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
130.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
122.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
117.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
117.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
116.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
110.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
109.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
108.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
105.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
105.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
101.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
93.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
89.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
88.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
87.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
86.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
82.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
77.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
72.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
65.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
64.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
64.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
64.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
63.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
60.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
60.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
58.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
57.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
55.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
55.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
53.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
51.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
50.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
49.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
43.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
41.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
37.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
24.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
21.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
20.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
19.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
18.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
18.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
14.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
13.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
8.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
6.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
2.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1.7
Show allShow less
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.
The Human Protein Atlas project is funded
