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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.
IGKV1D-39 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
468.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
7625.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
5013.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
3701.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
3474.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
3067.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
2739.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
2437.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
2324.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
2317.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
2213.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
2184.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
2150.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
2140.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2075.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1916.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1900.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1693.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1673.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1548.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1498.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1418.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1284.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1252.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1184.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
1183.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1181.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1174.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1163.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1118.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1053.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1051.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1048.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1026.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1002.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
999.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
981.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
970.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
917.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
877.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
843.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
841.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
833.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
820.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
817.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
783.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
783.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
782.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
770.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
738.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
734.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
714.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
702.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
691.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
690.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
685.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
671.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
656.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
652.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
639.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
622.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
616.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
567.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
558.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
550.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
487.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
484.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
469.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
459.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
457.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
436.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
431.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
429.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
421.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
419.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
414.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
414.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
413.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
409.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
403.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
396.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
391.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
390.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
388.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
382.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
377.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
366.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
362.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
359.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
340.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
339.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
333.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
330.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
327.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
327.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
324.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
321.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
316.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
316.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
299.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
289.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
286.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
283.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
279.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
279.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
272.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
267.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
267.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
263.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
254.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
250.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
238.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
231.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
228.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
228.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
227.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
223.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
222.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
215.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
211.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
209.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
198.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
192.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
184.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
182.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
181.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
177.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
173.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
170.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
166.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
165.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
162.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
160.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
156.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
156.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
153.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
146.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
142.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
141.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
141.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
138.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
135.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
134.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
132.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
131.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
131.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
129.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
124.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
122.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
121.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
115.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
112.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
111.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
110.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
109.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
104.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
96.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
92.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
88.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
85.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
84.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
82.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
80.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
78.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
73.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
72.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
71.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
68.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
63.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
61.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
57.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
57.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
50.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
49.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
47.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
44.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
44.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
43.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
43.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
37.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
37.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
36.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
35.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
34.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
33.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
32.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
32.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
30.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
30.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
29.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
28.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
28.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
24.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
24.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
23.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
23.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
21.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
21.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
20.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
20.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
20.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
19.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
19.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
19.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
19.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
19.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
18.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
18.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
17.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
16.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
15.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
15.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
15.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
14.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
14.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
14.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
13.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
12.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
12.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
12.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
11.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
11.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
11.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
10.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
9.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
7.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
7.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
6.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
5.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
4.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
3.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGKV1D-39 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
923.4
Number of samples
486
Samples
Sample
Description
TPM
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
7449.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
5501.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
4921.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
4897.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
4834.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
4294.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
3970.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
3959.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
3925.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
3394.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
3325.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
3188.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
3169.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
3158.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
3047.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
3040.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
3028.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
3026.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
3026.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
2823.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
2765.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
2728.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
2655.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
2607.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
2599.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
2595.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
2539.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
2511.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
2507.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
2487.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
2469.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
2451.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
2445.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
2432.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
2372.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
2369.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
2359.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
2319.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
2314.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
2280.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
2277.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
2254.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
2211.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
2181.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
2181.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
2151.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
2147.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
2139.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
2122.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
2058.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
2045.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
2011.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
2009.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1988.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1985.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1976.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
1968.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1936.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
1916.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1887.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
1872.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
1869.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1856.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1853.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1851.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1851.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1849.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1837.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1825.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
1795.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1792.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1789.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1767.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
1765.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
1689.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
1687.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1684.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1658.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1658.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1652.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1593.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1576.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
1574.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1573.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1560.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1543.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1543.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1536.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
1522.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1520.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1513.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1483.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1482.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1474.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1468.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1459.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
1458.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1452.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
1450.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1445.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1441.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
1425.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
1422.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1412.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1401.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1391.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1381.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1364.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
1364.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
1358.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1348.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
1343.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
1334.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
1316.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1312.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1298.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1295.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1293.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1286.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
1269.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1263.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1262.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1261.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1261.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1254.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
1249.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
1246.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1215.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
1207.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1202.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1197.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1166.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1160.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1149.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1144.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1139.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1137.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1125.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1124.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1122.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1115.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1111.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1097.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1077.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1062.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1060.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1037.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1032.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1026.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
1022.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1018.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1007.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1006.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1003.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
992.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
991.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
989.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
985.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
973.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
964.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
963.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
963.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
958.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
957.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
955.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
952.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
950.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
949.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
944.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
944.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
937.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
933.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
933.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
932.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
931.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
929.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
925.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
915.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
914.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
913.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
911.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
909.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
907.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
905.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
901.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
892.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
891.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
890.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
889.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
881.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
879.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
875.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
872.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
869.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
865.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
865.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
863.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
855.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
850.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
839.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
830.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
827.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
827.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
826.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
825.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
825.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
822.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
821.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
820.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
817.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
812.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
808.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
807.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
792.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
789.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
786.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
786.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
779.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
776.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
758.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
754.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
752.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
743.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
738.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
734.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
733.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
732.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
730.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
721.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
716.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
714.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
714.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
709.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
704.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
704.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
698.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
698.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
694.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
691.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
689.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
688.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
686.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
678.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
676.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
676.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
676.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
671.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
670.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
666.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
665.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
662.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
652.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
638.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
628.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
623.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
622.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
621.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
620.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
609.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
605.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
597.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
587.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
585.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
583.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
582.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
581.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
579.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
574.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
570.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
564.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
559.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
555.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
547.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
539.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
538.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
526.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
526.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
522.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
518.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
515.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
505.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
497.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
496.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
495.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
492.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
489.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
488.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
486.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
485.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
484.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
484.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
479.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
479.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
477.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
476.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
475.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
473.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
472.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
471.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
464.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
459.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
453.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
449.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
449.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
446.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
437.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
434.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
433.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
426.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
424.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
423.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
421.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
416.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
406.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
406.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
398.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
394.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
388.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
387.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
387.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
382.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
381.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
379.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
379.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
374.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
371.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
369.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
367.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
366.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
363.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
362.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
359.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
357.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
354.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
352.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
350.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
348.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
343.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
342.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
341.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
338.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
337.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
336.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
335.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
335.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
332.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
331.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
329.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
325.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
324.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
324.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
320.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
318.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
318.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
316.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
313.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
313.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
311.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
310.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
305.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
304.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
303.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
302.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
302.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
301.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
297.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
292.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
290.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
289.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
284.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
284.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
283.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
283.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
278.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
276.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
276.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
275.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
275.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
273.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
270.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
268.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
264.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
262.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
261.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
261.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
261.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
260.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
256.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
253.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
251.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
242.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
242.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
240.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
239.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
237.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
226.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
224.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
210.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
208.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
202.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
200.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
198.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
196.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
195.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
192.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
191.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
191.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
190.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
190.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
190.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
187.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
181.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
173.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
164.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
158.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
155.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
155.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
150.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
149.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
148.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
145.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
143.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
142.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
139.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
139.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
139.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
137.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
134.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
134.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
133.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
131.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
127.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
125.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
124.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
121.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
119.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
118.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
116.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
103.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
102.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
101.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
101.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
100.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
99.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
99.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
96.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
96.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
95.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
95.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
91.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
87.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
84.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
77.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
76.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
75.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
70.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
68.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
67.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
66.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
64.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
60.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
55.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
51.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
48.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
38.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
38.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
38.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
35.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
32.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
32.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
26.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
25.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
24.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
22.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
21.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
17.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
17.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
17.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
13.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
7.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
7.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
4.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
4.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGKV1D-39 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
456.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
5618.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
4304.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
3316.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
2725.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
2174.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1998.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1737.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
967.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
902.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
852.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
762.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
753.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
694.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
659.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
653.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
649.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
589.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
536.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
506.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
493.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
440.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
436.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
434.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
385.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
375.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
316.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
311.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
287.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
278.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
273.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
272.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
260.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
241.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
229.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
223.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
219.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
215.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
215.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
211.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
187.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
181.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
178.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
178.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
170.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
168.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
162.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
162.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
142.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
137.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
134.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
128.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
124.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
122.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
119.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
116.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
113.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
110.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
103.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
101.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
92.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
82.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
74.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
70.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
56.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
50.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
41.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
41.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
36.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
32.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
31.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
29.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
27.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
20.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
16.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
15.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
14.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
12.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
12.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
11.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
8.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
6.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
4.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
IGKV1D-39 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
973.2
Number of samples
207
Samples
Sample
Description
TPM
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
9531.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
8763.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
5556.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
4780.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
4579.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
4505.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
3641.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
3592.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
3024.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
2980.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
2754.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
2579.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
2574.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
2455.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
2344.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
2307.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
2228.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
2223.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
2154.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
2128.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
2010.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
2008.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
1871.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1640.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1560.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
1535.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
1534.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1517.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
1493.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
1492.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1425.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
1409.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1405.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1404.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
1401.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
1394.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
1385.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
1382.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
1329.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
1321.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1296.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
1284.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
1274.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1269.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1263.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
1263.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1262.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
1252.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1247.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
1243.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
1229.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
1220.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1212.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
1198.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1173.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1172.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1172.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1171.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1166.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1131.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
1127.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1125.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1102.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
1101.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
1101.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
1095.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
1092.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1056.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
1038.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
1030.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
1022.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1007.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
956.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
948.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
941.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
932.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
932.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
908.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
907.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
896.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
876.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
868.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
860.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
851.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
825.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
824.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
819.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
814.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
813.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
792.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
790.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
776.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
774.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
771.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
766.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
752.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
750.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
738.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
732.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
729.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
719.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
718.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
717.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
716.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
714.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
707.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
702.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
699.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
692.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
681.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
681.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
654.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
651.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
649.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
627.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
605.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
589.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
587.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
577.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
576.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
574.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
574.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
574.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
557.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
553.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
538.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
532.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
530.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
517.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
507.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
504.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
500.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
496.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
471.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
466.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
434.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
429.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
428.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
419.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
404.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
401.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
400.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
396.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
385.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
379.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
378.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
374.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
372.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
359.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
356.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
333.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
328.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
321.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
317.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
317.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
311.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
307.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
297.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
285.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
280.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
278.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
270.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
260.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
251.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
209.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
202.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
186.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
185.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
179.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
175.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
172.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
168.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
163.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
161.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
153.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
151.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
150.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
139.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
138.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
126.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
115.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
114.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
98.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
95.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
93.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
89.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
81.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
76.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
75.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
72.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
69.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
67.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
67.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
50.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
45.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
43.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
43.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
31.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
27.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
26.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
18.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
8.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
4.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
