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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.
IGKJ4 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
636.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
9002.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
8867.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
8205.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
5064.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
4668.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
4590.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
4299.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
3476.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
3242.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
3174.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2772.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
2723.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
2638.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2551.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
2356.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2300.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
2062.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
1877.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1748.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1731.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1626.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1549.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1495.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1478.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1464.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1413.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1355.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1343.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1303.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
1260.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1249.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1216.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1201.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1198.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1193.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1169.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1152.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
1128.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1118.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1118.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1089.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1078.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1072.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1049.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1043.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1022.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1018.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
978.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
949.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
947.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
930.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
929.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
897.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
895.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
881.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
854.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
816.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
798.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
784.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
780.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
742.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
741.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
713.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
690.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
690.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
682.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
670.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
659.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
637.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
630.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
624.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
617.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
613.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
611.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
608.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
594.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
592.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
568.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
558.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
554.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
548.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
530.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
517.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
515.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
510.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
509.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
509.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
496.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
482.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
477.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
463.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
462.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
443.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
431.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
430.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
411.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
404.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
397.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
395.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
393.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
391.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
389.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
383.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
381.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
368.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
365.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
362.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
355.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
340.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
333.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
333.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
317.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
313.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
307.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
296.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
294.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
292.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
288.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
287.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
286.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
285.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
278.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
278.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
273.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
267.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
262.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
256.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
250.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
249.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
246.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
246.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
244.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
237.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
233.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
230.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
228.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
228.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
227.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
210.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
198.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
194.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
193.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
184.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
175.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
164.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
161.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
160.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
159.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
153.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
151.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
138.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
137.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
135.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
123.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
118.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
115.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
111.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
107.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
106.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
93.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
91.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
88.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
88.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
88.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
86.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
81.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
80.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
79.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
75.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
74.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
73.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
67.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
66.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
65.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
58.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
56.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
51.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
50.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
50.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
49.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
49.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
49.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
48.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
47.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
46.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
46.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
45.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
45.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
43.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
43.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
41.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
40.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
37.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
33.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
32.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
31.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
29.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
28.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
26.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
25.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
25.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
25.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
24.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
22.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
21.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
20.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
20.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
20.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
20.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
19.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
17.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
17.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
16.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
16.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
16.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
15.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
14.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
13.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
13.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
12.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
12.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
12.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
11.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
11.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
11.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
11.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
11.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
10.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
9.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
8.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
8.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
8.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
7.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
7.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
7.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
6.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
4.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
4.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
3.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 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.
IGKJ4 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
713.4
Number of samples
486
Samples
Sample
Description
TPM
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
4150.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
3776.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
3610.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
3415.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
3325.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
3220.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
3195.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
3153.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
3097.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
3017.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
2996.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
2979.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
2928.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
2908.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
2873.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
2440.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
2402.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
2336.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
2296.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
2179.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
2177.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
2175.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
2165.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
2158.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
2141.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
2133.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
2094.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
2090.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
2075.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
2015.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1972.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1955.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
1948.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1907.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1851.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
1851.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
1843.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1838.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
1813.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
1797.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1758.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
1695.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1692.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
1687.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
1685.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1681.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1666.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1652.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1648.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
1632.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1629.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
1622.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
1609.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
1599.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1550.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
1543.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
1541.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1541.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
1535.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1513.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1506.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
1468.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
1457.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
1444.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1441.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
1431.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1409.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1392.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1378.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
1368.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1363.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
1356.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1331.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1328.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1322.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1321.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
1305.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1300.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1285.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1281.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1272.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1271.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1270.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
1264.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1264.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1252.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1244.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1212.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
1210.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1204.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
1197.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1173.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1170.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
1155.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1154.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1133.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1133.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
1128.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1123.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1119.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1101.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1092.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1086.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
1078.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1076.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
1071.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1059.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1058.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1052.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1011.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1005.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1000.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
995.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
983.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
983.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
981.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
979.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
979.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
973.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
973.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
971.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
963.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
958.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
953.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
945.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
944.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
943.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
942.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
929.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
927.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
919.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
915.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
905.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
897.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
889.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
884.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
879.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
878.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
875.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
873.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
873.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
871.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
871.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
864.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
860.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
859.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
856.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
848.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
842.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
841.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
839.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
832.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
823.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
820.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
818.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
815.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
814.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
804.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
800.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
798.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
798.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
798.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
795.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
787.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
776.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
771.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
766.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
765.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
765.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
763.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
761.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
759.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
754.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
752.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
746.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
745.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
741.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
737.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
736.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
734.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
729.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
728.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
727.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
725.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
719.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
712.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
708.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
706.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
687.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
683.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
680.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
679.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
673.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
671.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
667.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
667.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
666.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
665.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
663.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
662.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
656.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
652.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
648.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
646.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
635.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
633.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
628.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
622.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
614.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
611.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
607.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
607.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
595.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
594.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
586.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
582.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
580.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
579.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
570.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
565.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
562.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
560.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
558.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
552.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
550.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
549.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
548.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
541.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
541.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
537.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
535.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
525.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
523.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
521.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
519.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
510.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
506.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
501.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
499.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
497.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
494.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
494.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
489.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
485.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
480.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
479.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
479.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
477.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
475.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
475.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
465.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
464.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
460.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
460.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
457.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
453.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
452.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
449.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
446.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
445.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
441.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
439.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
434.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
434.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
431.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
431.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
431.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
430.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
429.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
425.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
423.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
421.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
417.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
415.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
413.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
408.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
407.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
395.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
393.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
392.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
391.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
391.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
390.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
387.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
387.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
385.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
382.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
378.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
378.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
378.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
377.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
377.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
376.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
375.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
374.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
374.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
372.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
368.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
364.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
361.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
356.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
353.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
352.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
350.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
349.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
345.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
345.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
345.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
344.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
341.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
341.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
335.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
335.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
322.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
322.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
320.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
319.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
317.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
312.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
310.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
309.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
306.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
305.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
302.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
299.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
298.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
296.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
290.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
288.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
287.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
282.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
278.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
276.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
271.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
271.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
264.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
257.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
256.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
250.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
247.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
244.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
243.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
240.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
237.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
232.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
231.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
230.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
229.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
229.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
226.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
224.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
217.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
216.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
215.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
215.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
213.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
212.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
209.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
207.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
206.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
205.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
199.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
199.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
198.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
197.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
197.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
196.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
196.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
195.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
195.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
192.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
191.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
190.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
186.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
184.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
180.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
179.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
178.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
174.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
171.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
169.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
168.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
166.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
166.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
165.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
164.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
163.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
163.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
163.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
162.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
162.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
158.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
155.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
154.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
151.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
144.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
143.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
142.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
140.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
139.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
138.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
136.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
132.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
130.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
129.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
128.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
126.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
125.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
124.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
121.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
114.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
113.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
113.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
112.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
112.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
111.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
108.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
105.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
104.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
103.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
102.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
102.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
102.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
102.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
97.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
96.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
96.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
94.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
92.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
88.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
86.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
85.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
82.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
81.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
76.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
74.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
72.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
68.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
68.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
67.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
65.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
64.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
64.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
63.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
63.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
61.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
57.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
55.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
54.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
52.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
51.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
46.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
43.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
39.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
39.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
35.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
34.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
34.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
33.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
32.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
30.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
28.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
25.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
25.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
24.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
23.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
20.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
20.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
17.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
15.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
15.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
14.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
10.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
10.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
10.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
9.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
8.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
6.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
4.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
4.5
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.
IGKJ4 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
614.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
6409.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
4184.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
3963.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
3580.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
2749.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2638.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1790.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1728.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1594.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1487.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1285.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1275.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1125.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1109.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
950.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
935.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
933.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
931.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
899.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
870.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
774.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
750.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
600.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
569.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
510.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
494.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
443.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
436.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
430.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
414.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
402.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
398.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
375.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
365.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
308.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
305.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
304.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
292.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
287.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
267.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
262.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
262.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
247.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
245.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
233.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
223.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
219.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
213.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
189.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
172.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
172.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
160.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
156.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
151.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
142.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
127.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
123.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
116.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
116.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
108.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
106.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
105.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
104.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
93.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
91.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
83.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
73.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
55.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
53.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
53.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
47.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
41.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
40.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
36.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
36.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
34.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
31.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
30.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
24.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
22.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
18.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
13.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
9.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
8.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
5.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
3.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGKJ4 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
710.2
Number of samples
207
Samples
Sample
Description
TPM
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
4397.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
3397.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
3323.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
2974.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
2888.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
2470.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
2420.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
2412.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
2307.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
2228.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
2221.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
2118.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
2114.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
2089.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
2057.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
2004.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1980.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
1926.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
1802.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
1761.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
1732.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1697.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1598.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
1586.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
1513.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
1504.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1393.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
1351.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1336.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
1331.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1327.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
1317.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
1291.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1291.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
1227.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1224.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
1202.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1193.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
1179.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
1112.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
1098.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
1086.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1037.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
1024.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
990.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
990.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
990.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
968.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
966.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
957.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
934.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
929.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
922.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
918.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
915.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
884.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
874.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
866.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
840.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
827.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
814.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
803.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
785.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
772.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
771.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
770.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
761.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
736.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
735.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
730.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
726.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
714.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
713.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
708.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
698.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
697.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
687.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
685.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
672.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
672.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
666.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
660.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
651.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
641.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
631.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
621.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
607.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
596.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
588.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
587.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
585.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
570.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
559.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
537.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
537.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
536.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
533.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
528.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
525.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
519.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
514.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
514.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
489.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
479.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
474.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
472.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
471.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
466.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
463.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
462.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
454.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
452.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
450.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
446.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
440.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
438.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
433.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
430.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
422.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
418.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
411.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
400.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
398.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
383.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
381.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
363.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
356.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
350.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
349.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
341.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
339.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
338.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
336.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
335.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
331.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
329.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
320.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
315.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
310.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
302.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
295.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
288.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
287.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
286.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
276.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
275.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
265.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
264.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
258.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
239.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
234.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
230.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
229.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
224.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
223.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
223.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
215.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
213.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
212.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
210.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
208.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
199.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
198.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
197.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
194.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
189.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
188.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
186.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
177.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
166.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
165.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
148.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
147.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
135.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
131.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
109.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
109.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
108.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
105.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
98.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
90.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
89.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
87.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
86.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
72.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
59.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
56.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
47.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
46.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
45.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
44.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
39.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
18.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
15.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
14.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
14.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
13.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
10.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
8.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
5.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
4.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
0.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
