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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLV2-14 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
280.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2288.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
2286.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
2256.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2011.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1903.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1787.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1704.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1593.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1518.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1335.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1303.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1233.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1173.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1166.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1140.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1130.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1100.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1075.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1048.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1016.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
978.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
937.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
918.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
893.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
885.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
861.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
860.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
802.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
796.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
782.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
767.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
678.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
667.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
666.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
652.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
643.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
606.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
583.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
565.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
537.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
492.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
482.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
472.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
471.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
471.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
469.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
467.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
459.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
453.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
450.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
428.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
424.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
424.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
423.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
420.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
420.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
416.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
399.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
393.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
387.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
380.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
346.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
345.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
334.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
334.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
327.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
319.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
313.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
306.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
304.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
302.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
292.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
290.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
288.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
287.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
283.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
278.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
275.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
261.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
254.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
244.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
237.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
232.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
230.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
223.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
223.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
219.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
214.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
213.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
212.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
207.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
202.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
199.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
199.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
196.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
194.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
193.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
191.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
183.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
180.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
180.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
174.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
158.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
155.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
154.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
152.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
148.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
145.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
142.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
139.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
133.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
130.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
127.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
122.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
119.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
118.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
110.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
109.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
106.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
106.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
105.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
101.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
100.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
97.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
97.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
96.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
94.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
94.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
93.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
89.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
88.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
87.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
86.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
83.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
83.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
82.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
82.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
82.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
80.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
80.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
79.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
74.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
72.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
71.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
68.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
67.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
65.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
65.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
65.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
62.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
57.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
57.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
53.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
52.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
51.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
51.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
47.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
43.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
39.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
39.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
39.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
39.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
38.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
37.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
37.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
37.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
35.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
35.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
34.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
31.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
30.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
30.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
29.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
28.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
28.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
28.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
27.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
27.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
25.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
22.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
22.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
22.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
22.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
21.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
21.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
19.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
18.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
17.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
15.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
14.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
13.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
13.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
12.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
12.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
12.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
11.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
11.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
11.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
11.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
10.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
8.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
8.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
7.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
7.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
7.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
7.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
6.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
5.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
5.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
5.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
4.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
4.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
4.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
3.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
2.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLV2-14 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
731.0
Number of samples
486
Samples
Sample
Description
TPM
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
8398.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
7183.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
5371.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
3451.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
3003.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
2962.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
2888.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
2730.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
2681.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
2557.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
2484.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
2451.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
2446.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
2353.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
2292.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
2250.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
2183.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
2176.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
2119.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
2091.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
2056.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
2027.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
2019.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1981.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1975.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1962.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
1950.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
1949.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
1933.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1914.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
1893.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1859.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1855.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1805.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1793.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1722.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
1713.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1676.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1669.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1657.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1645.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1632.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
1608.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
1605.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1600.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1594.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1592.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1588.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1585.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
1569.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1564.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
1555.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1554.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1550.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1539.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1523.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1510.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1489.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1483.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1468.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1457.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1450.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1434.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1431.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1420.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1399.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1374.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1373.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1370.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1337.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
1322.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1321.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1311.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1308.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1305.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1289.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
1288.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
1287.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1282.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1275.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1264.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
1263.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1259.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1252.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
1234.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
1212.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1207.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1198.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1196.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1183.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1171.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1164.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
1148.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1148.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1131.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1125.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1121.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
1111.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1106.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1104.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
1099.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1093.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1085.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
1069.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
1064.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1061.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1053.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1033.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1021.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1021.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
1010.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
1007.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
999.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
981.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
974.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
972.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
972.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
972.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
971.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
971.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
969.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
968.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
968.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
956.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
950.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
943.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
939.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
932.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
925.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
920.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
914.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
912.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
911.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
910.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
903.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
902.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
901.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
888.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
888.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
884.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
883.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
876.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
868.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
867.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
866.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
862.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
850.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
848.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
846.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
846.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
845.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
844.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
844.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
843.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
839.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
838.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
832.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
829.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
828.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
824.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
821.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
809.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
806.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
805.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
801.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
797.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
796.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
794.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
792.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
790.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
786.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
784.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
781.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
781.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
775.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
760.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
750.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
742.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
742.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
741.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
736.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
734.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
734.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
733.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
723.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
715.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
714.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
711.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
711.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
711.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
706.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
702.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
698.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
691.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
687.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
684.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
678.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
674.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
672.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
670.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
668.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
667.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
665.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
664.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
664.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
663.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
654.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
644.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
639.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
632.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
630.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
628.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
626.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
626.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
624.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
622.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
619.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
617.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
617.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
610.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
604.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
603.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
601.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
596.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
596.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
595.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
594.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
594.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
586.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
586.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
584.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
578.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
568.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
567.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
564.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
561.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
560.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
557.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
557.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
554.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
549.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
543.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
540.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
536.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
536.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
529.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
526.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
525.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
525.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
525.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
521.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
519.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
518.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
518.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
514.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
514.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
513.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
512.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
511.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
508.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
504.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
495.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
495.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
494.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
494.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
493.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
482.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
481.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
481.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
477.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
469.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
466.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
465.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
464.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
462.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
462.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
462.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
457.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
444.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
436.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
433.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
431.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
428.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
426.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
426.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
425.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
419.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
417.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
415.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
412.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
411.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
410.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
410.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
409.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
404.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
403.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
403.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
399.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
399.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
399.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
398.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
393.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
389.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
386.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
383.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
379.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
379.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
377.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
376.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
371.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
371.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
368.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
366.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
361.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
355.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
355.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
355.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
351.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
350.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
346.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
345.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
340.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
340.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
339.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
337.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
325.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
325.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
325.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
322.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
321.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
320.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
318.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
313.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
312.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
310.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
305.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
300.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
300.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
300.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
298.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
296.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
292.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
291.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
285.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
282.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
280.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
280.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
280.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
273.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
272.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
270.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
269.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
259.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
253.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
252.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
247.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
239.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
239.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
236.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
234.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
234.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
232.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
232.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
231.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
227.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
215.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
211.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
211.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
206.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
206.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
206.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
205.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
202.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
200.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
198.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
196.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
195.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
193.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
193.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
191.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
191.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
189.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
186.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
186.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
184.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
183.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
180.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
180.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
177.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
174.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
174.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
173.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
171.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
169.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
168.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
163.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
161.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
159.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
159.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
157.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
157.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
154.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
152.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
152.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
151.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
149.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
147.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
146.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
146.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
145.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
143.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
140.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
139.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
138.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
137.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
135.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
130.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
128.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
127.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
125.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
120.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
116.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
115.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
113.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
108.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
106.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
100.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
99.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
98.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
95.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
94.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
94.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
89.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
89.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
89.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
86.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
84.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
82.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
80.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
77.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
75.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
75.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
75.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
73.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
72.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
71.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
70.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
69.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
69.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
66.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
64.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
60.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
55.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
55.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
50.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
50.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
49.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
47.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
47.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
43.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
41.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
40.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
38.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
37.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
36.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
36.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
35.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
32.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
23.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
20.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
18.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
13.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
11.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
10.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
10.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
7.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
4.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
3.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLV2-14 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
215.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1348.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1330.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1263.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1193.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1116.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1012.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
922.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
647.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
600.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
580.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
497.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
467.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
467.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
438.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
411.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
373.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
365.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
308.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
288.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
278.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
277.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
244.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
242.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
234.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
231.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
217.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
216.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
202.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
169.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
167.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
150.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
140.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
131.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
122.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
120.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
118.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
111.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
101.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
100.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
99.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
95.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
93.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
88.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
88.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
81.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
78.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
77.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
76.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
74.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
73.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
67.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
62.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
59.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
55.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
48.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
47.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
40.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
39.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
39.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
28.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
28.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
26.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
25.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
25.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
23.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
22.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
14.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
13.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
12.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
12.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
9.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
9.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
7.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
5.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
5.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
4.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
3.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.6
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.
IGLV2-14 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
901.9
Number of samples
207
Samples
Sample
Description
TPM
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
8475.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
5852.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
5367.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
4898.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
4696.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
4526.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
3866.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
3415.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
3230.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
3101.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
2573.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
2558.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
2491.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
2403.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
2387.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
2311.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
2297.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
2197.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
2156.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
2149.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
2134.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
2090.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
2062.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
2060.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1989.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1980.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
1954.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
1865.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
1845.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
1829.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1789.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
1659.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1642.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1621.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
1540.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
1523.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1516.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1457.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
1424.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
1415.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1350.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1317.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
1286.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
1278.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
1266.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
1264.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
1203.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
1201.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
1173.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1152.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1148.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1147.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
1143.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1126.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1106.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
1064.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
1061.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1049.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1034.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1008.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
996.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
993.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
947.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
925.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
919.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
916.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
895.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
888.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
845.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
832.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
827.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
820.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
816.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
810.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
800.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
796.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
794.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
789.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
781.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
772.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
760.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
747.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
743.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
739.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
723.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
715.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
699.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
674.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
645.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
643.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
621.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
610.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
610.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
601.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
588.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
583.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
575.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
571.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
565.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
565.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
552.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
537.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
527.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
504.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
503.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
503.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
502.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
502.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
497.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
489.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
484.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
482.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
481.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
480.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
461.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
457.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
452.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
443.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
435.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
434.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
425.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
408.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
395.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
392.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
384.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
381.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
380.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
370.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
368.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
367.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
362.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
352.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
351.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
343.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
343.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
341.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
339.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
338.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
330.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
329.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
324.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
323.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
322.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
318.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
304.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
304.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
300.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
300.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
276.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
276.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
274.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
271.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
269.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
261.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
256.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
249.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
244.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
235.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
228.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
222.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
214.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
207.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
198.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
192.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
184.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
182.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
181.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
170.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
163.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
159.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
156.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
150.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
148.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
142.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
139.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
119.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
110.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
101.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
99.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
95.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
93.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
93.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
88.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
84.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
80.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
56.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
52.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
49.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
45.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
41.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
35.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
32.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
21.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
19.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
18.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
16.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
13.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
9.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
9.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
3.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
