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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.
IGLC3 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
1024.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
14523.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
12069.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10489.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8196.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
7060.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
7013.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
6270.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
6267.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
4794.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
4654.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
4576.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
4397.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
4281.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
4279.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
4055.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
3926.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
3393.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
3254.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
3238.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
3195.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2956.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2869.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
2853.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2826.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2744.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
2676.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
2616.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
2483.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2472.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
2454.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
2439.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
2386.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
2383.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
2382.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
2375.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1919.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1880.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1875.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1841.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1828.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1738.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1720.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1705.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1689.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1682.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1653.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1620.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1543.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1499.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1487.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1470.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1460.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1425.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1405.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1396.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1393.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1372.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1348.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1302.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1296.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1285.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1273.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1267.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1201.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1190.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1180.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1140.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1099.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1090.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1079.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1071.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
945.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
888.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
887.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
871.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
845.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
823.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
821.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
804.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
764.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
762.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
758.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
753.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
728.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
709.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
701.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
700.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
696.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
692.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
689.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
676.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
671.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
662.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
661.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
659.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
654.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
653.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
646.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
635.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
625.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
615.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
602.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
601.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
598.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
575.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
568.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
561.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
519.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
501.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
490.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
487.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
485.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
480.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
475.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
471.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
467.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
455.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
454.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
446.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
441.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
439.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
433.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
421.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
415.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
410.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
403.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
377.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
376.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
373.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
361.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
355.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
354.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
352.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
345.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
338.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
336.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
327.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
322.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
311.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
311.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
308.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
294.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
290.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
289.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
279.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
256.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
241.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
239.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
227.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
226.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
218.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
212.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
210.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
199.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
195.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
187.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
185.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
185.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
184.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
179.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
160.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
158.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
155.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
154.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
151.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
138.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
138.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
131.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
124.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
122.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
118.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
112.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
112.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
111.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
108.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
102.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
101.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
100.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
97.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
93.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
87.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
86.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
85.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
82.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
81.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
79.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
76.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
71.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
71.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
70.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
70.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
67.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
65.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
63.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
62.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
62.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
61.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
60.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
54.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
54.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
53.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
53.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
50.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
48.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
46.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
44.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
44.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
44.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
44.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
42.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
41.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
39.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
39.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
39.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
39.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
37.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
37.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
34.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
34.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
31.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
31.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
31.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
23.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
22.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
20.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
19.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
18.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
18.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
17.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
15.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
15.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
13.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
12.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
12.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
10.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
9.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
9.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
7.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
6.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
6.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
5.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
5.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
2.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 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.
IGLC3 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
1027.1
Number of samples
486
Samples
Sample
Description
TPM
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
9744.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
8400.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
7184.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
6371.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
6152.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
5086.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
5060.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
4929.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
4834.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
4502.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
4435.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
4433.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
4405.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
4341.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
4319.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
4140.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
3813.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
3443.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
3412.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
3393.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
3340.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
3323.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
3288.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
3277.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
3264.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
3212.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
3124.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
3008.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
2952.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
2935.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
2909.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
2888.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
2850.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
2821.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
2800.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
2783.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
2767.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
2726.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
2710.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
2699.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
2699.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
2642.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
2632.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
2626.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
2614.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
2588.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
2537.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
2520.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
2492.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
2487.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
2486.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
2467.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
2450.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
2408.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
2407.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
2365.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
2341.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
2312.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
2275.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
2221.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
2219.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
2174.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
2150.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
2097.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
2077.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
2056.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
2029.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
2024.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
2023.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
2015.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1984.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1971.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1962.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
1955.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1947.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1942.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1911.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1910.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1903.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
1888.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1882.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1877.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1873.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1869.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1832.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1824.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
1813.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
1789.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1766.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1739.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1737.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1720.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1686.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1682.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1681.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1660.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1655.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1638.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1634.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1616.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
1614.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1602.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1588.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
1579.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1572.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1572.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1568.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1556.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1555.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1553.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
1532.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
1514.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1514.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1477.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
1454.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1434.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
1433.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
1431.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1429.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1420.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1420.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1415.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1395.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1394.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1388.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1381.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
1378.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1340.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1329.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
1315.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1305.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1300.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1294.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1288.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1285.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1265.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
1244.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1237.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1226.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1215.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1209.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1208.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1204.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1181.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1173.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1172.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1163.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1155.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1135.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1133.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
1129.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
1128.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1124.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1124.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1119.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1115.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1101.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1100.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1097.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1079.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
1074.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
1072.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
1056.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1050.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1046.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1042.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
1018.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
1018.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1017.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1013.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1008.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
987.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
975.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
975.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
971.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
960.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
957.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
938.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
936.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
934.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
927.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
924.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
922.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
920.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
919.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
919.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
918.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
910.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
896.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
892.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
878.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
877.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
872.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
871.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
869.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
869.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
862.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
858.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
853.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
852.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
831.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
830.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
823.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
823.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
812.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
802.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
796.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
795.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
793.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
793.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
775.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
773.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
767.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
767.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
755.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
745.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
735.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
733.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
731.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
725.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
701.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
695.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
694.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
689.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
689.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
687.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
682.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
680.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
680.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
679.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
677.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
677.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
666.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
661.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
645.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
643.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
638.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
637.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
634.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
628.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
628.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
627.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
624.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
610.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
608.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
607.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
603.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
601.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
595.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
595.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
592.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
592.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
584.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
572.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
571.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
565.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
563.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
555.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
555.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
553.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
552.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
548.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
543.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
541.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
538.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
531.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
523.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
516.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
511.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
504.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
499.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
498.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
490.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
483.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
475.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
475.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
465.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
465.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
463.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
459.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
459.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
457.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
455.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
450.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
444.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
444.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
443.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
439.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
430.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
430.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
427.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
426.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
425.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
425.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
422.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
417.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
416.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
412.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
411.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
410.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
405.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
404.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
398.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
397.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
393.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
392.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
391.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
386.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
386.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
385.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
385.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
385.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
378.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
376.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
375.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
375.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
373.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
372.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
371.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
370.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
363.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
361.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
360.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
356.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
345.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
342.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
341.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
339.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
338.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
334.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
332.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
331.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
330.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
327.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
325.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
325.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
323.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
315.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
312.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
307.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
302.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
296.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
295.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
294.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
292.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
291.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
291.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
284.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
279.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
278.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
277.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
276.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
273.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
271.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
269.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
266.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
265.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
262.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
257.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
255.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
245.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
244.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
243.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
239.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
239.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
238.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
234.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
231.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
229.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
225.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
223.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
222.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
222.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
217.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
214.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
211.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
209.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
209.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
209.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
208.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
207.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
206.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
205.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
204.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
203.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
201.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
200.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
192.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
188.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
186.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
179.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
178.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
177.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
172.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
172.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
171.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
171.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
169.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
167.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
163.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
161.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
158.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
157.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
152.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
151.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
149.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
149.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
148.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
143.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
142.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
142.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
141.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
139.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
136.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
134.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
133.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
130.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
124.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
124.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
124.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
120.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
120.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
119.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
119.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
115.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
115.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
112.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
111.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
105.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
104.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
104.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
103.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
103.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
100.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
98.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
97.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
93.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
91.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
87.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
85.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
85.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
84.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
81.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
79.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
78.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
77.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
76.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
74.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
73.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
68.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
62.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
60.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
57.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
57.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
55.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
55.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
48.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
47.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
46.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
46.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
41.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
40.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
39.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
33.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
31.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
29.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
29.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
26.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
23.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
22.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
21.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
17.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
17.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
16.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
15.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
15.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
15.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
14.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
13.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
13.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLC3 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
1112.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20503.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
10647.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
7459.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
4224.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
4215.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
3766.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
2584.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
2440.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
2425.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
2402.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
2218.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
2090.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2070.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1611.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1585.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1373.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1326.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1308.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1232.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1222.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1130.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1042.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1000.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
765.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
720.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
713.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
689.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
688.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
670.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
656.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
649.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
562.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
540.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
528.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
507.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
505.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
483.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
466.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
451.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
427.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
418.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
410.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
391.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
376.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
373.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
372.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
358.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
348.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
335.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
333.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
327.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
307.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
301.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
260.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
252.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
243.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
239.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
239.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
221.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
219.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
196.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
195.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
149.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
140.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
102.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
98.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
82.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
75.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
73.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
66.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
54.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
51.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
49.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
49.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
48.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
44.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
40.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
32.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
32.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
20.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
20.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
13.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
11.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
7.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
6.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.1
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.
IGLC3 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
1044.2
Number of samples
207
Samples
Sample
Description
TPM
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
7396.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
5717.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
5459.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
5147.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
4717.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
4123.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
3883.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
3686.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
3279.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
3185.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
3017.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
3005.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
2977.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
2954.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
2822.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
2809.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
2677.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
2588.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
2523.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
2410.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
2345.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
2266.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
2254.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
2201.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
2146.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
2135.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
2130.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
2085.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
2048.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
2044.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1949.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
1867.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1853.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1829.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
1815.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
1808.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
1804.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1794.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1742.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1740.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1719.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1712.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1701.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1651.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1630.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
1576.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
1569.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1561.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1557.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1523.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1505.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
1504.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
1469.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
1464.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
1464.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
1438.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1427.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
1425.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1423.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
1415.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1407.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1405.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
1329.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
1329.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1317.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
1316.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
1311.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
1244.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
1224.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1194.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1161.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
1149.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
1139.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1126.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
1119.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
1108.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
1107.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
1086.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1073.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
1032.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1027.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
976.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
943.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
942.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
941.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
932.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
907.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
881.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
865.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
848.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
835.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
806.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
801.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
794.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
789.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
760.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
756.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
744.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
690.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
687.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
673.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
670.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
657.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
642.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
633.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
602.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
594.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
589.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
582.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
554.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
547.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
543.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
540.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
537.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
513.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
506.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
505.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
497.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
496.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
491.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
460.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
451.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
442.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
440.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
440.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
435.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
433.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
433.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
431.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
428.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
424.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
418.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
408.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
406.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
397.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
381.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
372.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
365.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
356.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
353.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
353.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
351.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
344.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
342.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
337.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
331.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
331.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
330.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
329.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
327.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
310.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
291.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
289.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
288.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
281.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
268.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
247.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
246.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
239.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
237.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
215.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
213.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
208.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
200.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
188.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
175.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
173.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
160.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
155.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
153.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
148.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
147.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
145.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
137.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
133.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
129.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
126.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
111.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
91.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
88.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
88.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
86.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
84.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
80.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
79.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
78.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
73.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
66.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
56.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
52.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
45.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
45.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
45.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
41.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
36.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
35.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
32.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
31.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
29.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
27.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
27.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
10.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
8.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
3.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
