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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.
IGLC2 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
2032.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
20308.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
19608.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
15866.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
15031.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
13956.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13840.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
13632.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
13018.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
11548.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
8107.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8062.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
8035.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
7983.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7754.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
7115.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6922.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
6890.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
6226.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
6175.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
5858.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5812.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
5447.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
5341.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
5323.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5176.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
5082.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
5075.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
4955.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
4939.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
4928.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
4917.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4797.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
4491.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4403.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
4400.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
4299.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
4276.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4250.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
4181.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
4176.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
4159.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
4079.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
3931.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
3826.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
3779.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
3740.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
3623.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
3564.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
3504.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
3453.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
3452.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
3214.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
3037.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
2943.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
2805.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2774.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2769.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2763.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
2760.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
2687.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
2618.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2609.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
2598.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2541.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2535.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2503.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2385.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
2383.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2378.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
2373.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
2309.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2265.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
2264.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
2238.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
2234.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2130.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2104.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2073.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
2031.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2018.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
2015.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1935.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1869.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1772.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1751.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1613.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1596.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1526.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1479.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1462.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1424.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1421.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1416.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1377.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1350.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1333.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1310.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1276.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1270.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1262.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1216.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1187.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1179.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1177.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1169.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1167.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1146.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1057.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1050.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1022.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
1006.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
982.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
980.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
959.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
954.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
940.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
934.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
911.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
907.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
898.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
878.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
874.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
861.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
850.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
843.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
820.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
817.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
814.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
813.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
786.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
758.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
742.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
729.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
725.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
717.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
709.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
689.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
678.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
674.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
668.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
661.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
657.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
618.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
608.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
606.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
582.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
541.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
539.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
515.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
501.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
499.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
499.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
489.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
489.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
487.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
483.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
474.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
446.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
438.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
429.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
406.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
399.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
393.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
390.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
388.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
382.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
369.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
349.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
333.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
313.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
310.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
306.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
306.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
298.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
286.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
283.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
279.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
271.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
261.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
254.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
230.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
225.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
217.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
216.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
216.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
209.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
208.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
189.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
189.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
181.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
177.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
177.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
157.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
155.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
145.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
144.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
143.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
142.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
139.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
138.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
134.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
134.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
124.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
122.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
121.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
120.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
115.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
115.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
111.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
106.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
104.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
98.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
90.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
90.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
86.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
82.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
77.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
75.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
73.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
73.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
65.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
63.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
61.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
60.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
59.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
54.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
53.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
49.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
48.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
43.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
38.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
32.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
25.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
25.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
24.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
19.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
18.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
18.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
18.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
14.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
11.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
11.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
10.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
10.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
9.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
7.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
4.1
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.
IGLC2 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
2640.5
Number of samples
486
Samples
Sample
Description
TPM
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
17887.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
16691.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
16037.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
14964.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
13714.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
11469.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
11178.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
10715.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
9735.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
9430.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
8939.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
8749.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
8697.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
8556.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
8502.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
8285.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
8229.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
8108.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
8042.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
8009.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
7913.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
7770.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
7737.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
7666.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
7546.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
7504.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
7479.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
7451.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
7382.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
7364.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
7281.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
7209.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
6920.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
6799.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
6739.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
6709.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
6657.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
6639.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
6639.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
6476.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
6438.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
6286.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
6224.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
6158.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
6006.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
5935.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
5912.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
5871.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
5776.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
5683.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
5641.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
5594.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
5441.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
5420.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
5405.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
5379.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
5331.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
5260.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
5046.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
4993.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
4937.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
4927.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
4900.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
4893.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
4851.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
4817.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
4755.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
4753.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
4749.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
4741.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
4722.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
4716.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
4654.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
4620.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
4527.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
4500.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
4490.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
4465.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
4464.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
4414.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
4396.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
4376.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
4351.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
4331.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
4316.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
4308.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
4296.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
4249.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
4241.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
4240.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
4229.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
4207.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
4201.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
4196.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
4188.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
4188.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
4160.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
4140.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
4137.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
4071.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
4046.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
4046.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
4044.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
4028.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
3984.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
3928.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
3879.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
3870.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
3844.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
3842.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
3829.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
3824.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
3821.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
3771.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
3745.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
3698.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
3661.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
3653.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
3627.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
3619.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
3611.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
3604.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
3599.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
3589.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
3571.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
3563.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
3557.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
3520.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
3519.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
3481.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
3444.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
3395.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
3358.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
3333.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
3330.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
3321.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
3312.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
3302.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
3300.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
3282.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
3281.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
3260.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
3254.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
3245.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
3218.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
3205.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
3168.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
3144.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
3128.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
3113.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
3109.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
3081.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
3047.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
3046.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
3037.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
3001.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
2994.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
2975.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
2965.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
2953.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
2951.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
2947.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
2940.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
2924.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
2922.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
2918.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
2909.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
2908.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
2907.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
2905.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
2890.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
2886.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
2884.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
2865.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
2842.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
2831.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
2827.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
2781.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
2758.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
2749.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
2747.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
2740.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
2738.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
2734.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
2732.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
2725.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
2704.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
2677.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
2673.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
2670.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
2647.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
2618.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
2607.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
2583.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
2576.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
2571.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
2570.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
2564.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
2560.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
2555.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
2555.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
2538.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
2512.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
2489.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
2487.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
2484.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
2482.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
2414.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
2374.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
2368.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
2352.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
2317.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
2294.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
2287.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
2276.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
2272.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
2271.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
2271.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
2236.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
2235.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
2230.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
2223.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
2219.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
2198.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
2195.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
2192.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
2185.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
2184.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
2143.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
2139.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
2134.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
2126.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
2120.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
2118.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
2112.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
2103.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
2089.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
2085.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
2043.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
2019.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
2019.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1974.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
1959.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1958.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
1937.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
1931.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1920.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
1916.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1903.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
1902.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1885.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1869.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1834.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1814.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1798.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1793.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1787.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1784.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1775.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1761.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1743.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1734.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1724.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
1720.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1716.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
1713.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1701.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1670.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
1669.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
1637.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
1628.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1628.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1614.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1581.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
1567.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
1560.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1542.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1542.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1536.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1534.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
1532.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1515.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1515.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1511.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1509.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
1508.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
1485.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1471.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1460.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1456.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1452.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1430.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
1427.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1407.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1394.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
1394.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1384.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1382.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1370.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1369.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1366.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
1358.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1355.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1339.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
1334.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1329.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1323.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
1315.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1312.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1310.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1309.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1300.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1291.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
1285.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1279.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1266.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1266.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1260.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1255.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1253.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1250.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1249.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1242.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1237.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1236.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
1224.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1187.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1178.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
1167.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1160.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1145.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1144.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
1137.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
1134.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1128.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1108.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1106.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1083.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1072.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1066.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1051.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1050.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
1007.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1007.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
996.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
994.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
975.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
964.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
959.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
934.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
917.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
915.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
905.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
903.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
896.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
885.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
882.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
882.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
879.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
873.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
866.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
841.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
839.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
838.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
832.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
829.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
825.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
812.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
803.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
799.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
791.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
787.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
761.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
760.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
752.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
744.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
729.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
726.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
724.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
713.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
710.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
702.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
701.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
679.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
678.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
669.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
663.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
660.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
654.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
651.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
638.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
629.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
608.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
608.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
599.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
593.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
593.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
590.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
586.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
586.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
572.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
572.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
566.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
562.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
555.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
546.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
540.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
538.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
534.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
532.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
516.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
503.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
503.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
498.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
497.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
478.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
478.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
477.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
474.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
458.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
456.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
450.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
441.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
437.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
429.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
423.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
422.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
396.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
396.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
393.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
393.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
386.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
369.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
366.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
357.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
350.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
348.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
346.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
345.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
342.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
320.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
317.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
312.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
307.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
305.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
305.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
302.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
292.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
283.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
262.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
255.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
253.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
252.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
246.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
240.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
240.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
236.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
233.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
229.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
186.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
181.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
169.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
162.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
150.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
143.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
141.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
133.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
106.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
105.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
103.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
94.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
91.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
85.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
76.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
72.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
63.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
63.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
59.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
30.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
26.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
24.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
12.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 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.
IGLC2 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
1867.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
30502.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
12273.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
11561.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
11309.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
7015.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
5597.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
4997.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
4533.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3157.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
3071.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
3068.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2891.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
2668.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2572.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
2554.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
2353.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
2333.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
2158.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2091.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2034.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1958.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1882.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1856.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1791.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1660.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1589.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1552.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1532.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1313.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1271.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1270.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1257.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1202.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1083.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1055.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1028.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1024.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1006.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
910.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
905.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
887.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
886.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
885.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
846.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
842.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
808.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
794.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
773.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
749.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
687.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
645.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
601.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
600.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
591.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
587.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
544.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
501.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
494.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
493.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
480.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
445.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
410.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
408.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
403.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
374.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
345.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
316.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
306.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
294.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
163.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
161.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
122.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
107.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
103.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
96.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
92.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
85.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
82.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
76.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
62.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
55.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
50.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
32.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
32.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
26.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
24.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
10.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLC2 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
2657.0
Number of samples
207
Samples
Sample
Description
TPM
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
16221.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
15801.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
14485.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
12309.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
11525.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
11193.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
9180.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
8188.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
7344.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
7292.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
6776.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
6508.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
6377.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
6165.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
5887.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
5425.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
5421.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
5326.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
5249.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
5180.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
5084.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
5019.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
4944.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
4894.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
4829.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
4749.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
4729.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
4688.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
4647.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
4633.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
4522.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
4518.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
4495.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
4475.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
4381.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
4360.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
4348.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
4341.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
4292.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
4135.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
4134.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
3990.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
3891.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
3867.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
3816.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
3735.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
3695.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
3672.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
3651.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
3607.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
3606.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
3594.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
3574.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
3573.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
3479.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
3472.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
3467.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
3439.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
3433.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
3409.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
3406.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
3355.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
3296.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
3204.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
3099.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
3081.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
3072.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
3018.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
3010.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
3008.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
2990.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
2936.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
2935.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
2928.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
2858.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
2847.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
2839.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
2808.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
2793.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
2762.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
2754.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
2725.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
2649.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
2640.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
2637.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
2601.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
2599.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
2584.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
2580.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
2557.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
2519.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
2502.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
2401.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
2395.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
2385.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
2362.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
2350.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
2332.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
2262.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
2225.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
2219.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
2197.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
2183.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
2146.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
2074.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
2019.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
1999.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
1994.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1936.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
1902.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
1890.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
1884.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1856.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
1813.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1799.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
1764.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
1734.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1705.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1703.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
1688.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1669.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1654.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1622.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1622.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
1566.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1549.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1411.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
1355.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
1337.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
1335.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
1314.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1314.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
1309.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
1304.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
1303.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
1296.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
1256.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1252.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1228.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1213.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
1168.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
1166.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1122.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
1111.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
1105.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
1088.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
1080.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
1052.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1001.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
989.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
984.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
935.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
935.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
923.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
917.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
902.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
898.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
881.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
876.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
850.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
830.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
753.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
751.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
700.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
655.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
598.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
596.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
594.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
577.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
559.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
558.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
541.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
533.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
530.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
471.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
469.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
456.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
394.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
372.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
351.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
344.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
325.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
315.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
306.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
283.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
271.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
260.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
254.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
254.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
239.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
228.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
219.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
213.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
201.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
152.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
145.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
144.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
142.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
125.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
102.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
85.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
81.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
74.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
44.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
39.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
10.8
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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
