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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.
IGHA1 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
517.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
6702.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5689.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5050.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
3594.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
3571.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
3323.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2890.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
2705.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
2655.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2494.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
2451.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2249.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2249.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
2144.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
2036.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
2027.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2021.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1941.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1856.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1722.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1630.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1564.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1561.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1521.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1514.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1495.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1452.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1439.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1373.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1333.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1273.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1253.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1248.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1226.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1182.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1151.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1132.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
1060.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1060.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1019.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1015.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1011.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
976.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
939.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
921.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
846.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
809.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
788.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
764.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
758.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
702.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
698.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
653.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
628.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
626.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
617.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
592.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
591.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
590.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
579.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
576.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
565.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
548.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
517.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
516.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
515.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
514.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
511.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
511.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
504.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
504.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
492.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
485.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
484.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
479.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
475.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
474.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
459.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
458.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
457.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
456.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
443.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
439.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
437.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
430.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
419.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
417.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
385.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
378.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
377.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
368.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
360.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
357.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
352.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
325.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
324.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
321.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
320.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
315.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
311.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
306.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
305.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
295.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
294.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
291.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
289.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
274.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
271.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
257.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
253.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
249.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
248.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
244.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
236.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
235.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
234.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
227.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
219.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
218.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
210.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
209.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
183.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
179.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
176.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
174.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
171.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
166.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
165.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
154.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
151.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
145.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
143.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
142.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
142.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
141.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
139.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
138.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
136.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
134.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
131.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
123.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
119.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
112.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
107.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
106.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
105.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
104.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
101.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
99.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
97.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
97.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
96.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
95.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
91.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
88.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
87.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
87.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
85.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
82.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
82.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
81.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
79.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
76.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
75.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
74.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
73.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
72.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
71.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
71.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
69.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
68.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
67.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
62.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
60.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
60.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
56.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
51.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
50.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
48.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
48.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
46.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
45.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
44.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
43.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
43.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
41.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
41.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
40.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
40.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
37.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
36.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
36.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
35.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
32.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
31.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
31.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
31.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
31.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
29.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
28.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
27.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
27.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
26.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
26.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
24.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
23.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
20.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
19.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
18.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
17.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
17.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
17.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
15.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
15.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
15.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
15.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
14.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
13.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
13.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
10.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
10.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
8.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
8.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
5.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
5.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
5.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
5.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
4.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
4.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
4.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
3.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
3.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
3.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
3.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
3.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
0.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGHA1 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
1377.3
Number of samples
486
Samples
Sample
Description
TPM
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
12657.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
10126.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
9801.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
8954.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
7636.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
7628.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
7521.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
7519.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
7447.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
7314.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
7278.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
6093.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
6011.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
5951.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
5288.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
5270.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
5212.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
5162.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
5154.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
4867.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
4590.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
4589.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
4430.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
4406.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
4362.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
4318.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
4233.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
4139.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
4002.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
3884.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
3841.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
3809.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
3786.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
3786.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
3721.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
3715.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
3669.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
3486.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
3394.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
3391.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
3327.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
3310.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
3305.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
3247.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
3231.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
3183.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
3172.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
3170.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
3161.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
3113.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
2994.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
2937.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
2931.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
2903.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
2880.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
2878.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
2871.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
2868.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
2858.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
2796.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
2790.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
2782.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
2733.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
2726.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
2721.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
2627.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
2599.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
2591.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
2559.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
2530.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
2514.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
2494.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
2463.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
2438.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
2424.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
2409.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
2404.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
2403.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
2400.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
2379.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
2298.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
2288.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
2280.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
2270.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
2237.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
2226.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
2211.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
2211.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
2166.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
2145.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
2114.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
2105.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
2085.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
2063.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
2057.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
2053.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
2051.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
2036.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
2019.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
2014.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
2000.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1995.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1934.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1900.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1900.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1882.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1881.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1856.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
1852.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
1824.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1818.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
1812.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
1743.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
1734.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1729.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1719.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1718.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1709.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1706.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1701.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
1697.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1685.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1683.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1682.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
1675.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1672.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
1662.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1660.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1653.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1625.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1619.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1617.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1614.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1611.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1611.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1605.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1598.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1597.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
1572.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1572.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1555.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
1538.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
1530.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1528.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1519.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1513.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1512.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
1505.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1504.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1494.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1488.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1474.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1472.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1465.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1454.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1447.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1444.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1443.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1435.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1433.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1427.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1422.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
1418.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
1414.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1410.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
1371.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1368.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
1365.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1365.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1364.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1356.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1339.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1332.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1322.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1316.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1315.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
1313.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1308.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1306.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1303.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
1299.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1289.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
1279.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
1277.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1261.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1253.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
1253.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1246.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1242.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
1240.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
1237.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
1236.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
1231.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1231.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1218.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1213.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1211.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
1205.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1194.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
1164.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
1137.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1134.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1131.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1130.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1123.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
1122.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1121.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1121.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1120.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
1102.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1099.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1088.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1088.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1080.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
1078.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
1078.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
1073.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
1064.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1063.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1056.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
1047.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1044.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1039.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1033.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1020.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
1019.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1013.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1010.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1004.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1002.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
997.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
992.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
985.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
983.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
961.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
960.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
922.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
916.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
915.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
913.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
913.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
912.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
908.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
905.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
901.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
900.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
887.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
885.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
885.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
884.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
880.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
879.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
877.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
866.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
866.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
861.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
854.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
835.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
832.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
832.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
823.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
815.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
814.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
811.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
807.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
804.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
804.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
803.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
801.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
777.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
775.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
771.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
771.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
762.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
754.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
753.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
750.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
750.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
733.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
722.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
715.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
712.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
711.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
707.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
706.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
695.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
691.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
690.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
687.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
685.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
671.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
659.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
653.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
648.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
645.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
642.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
640.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
632.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
632.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
629.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
629.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
627.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
625.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
618.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
608.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
600.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
600.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
595.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
594.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
594.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
587.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
578.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
577.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
572.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
571.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
571.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
568.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
556.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
546.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
540.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
538.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
535.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
533.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
532.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
532.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
528.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
527.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
519.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
512.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
511.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
509.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
497.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
494.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
493.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
492.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
471.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
469.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
464.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
461.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
461.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
461.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
445.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
445.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
435.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
434.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
433.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
432.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
431.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
430.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
429.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
419.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
415.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
413.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
395.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
389.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
388.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
381.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
380.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
380.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
378.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
374.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
373.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
372.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
369.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
363.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
362.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
359.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
358.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
347.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
345.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
342.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
341.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
341.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
334.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
331.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
328.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
327.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
326.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
319.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
312.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
299.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
299.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
298.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
295.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
294.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
293.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
292.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
288.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
285.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
278.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
278.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
268.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
266.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
260.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
260.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
260.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
260.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
258.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
257.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
255.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
246.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
244.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
243.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
240.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
239.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
237.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
237.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
219.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
219.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
218.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
216.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
214.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
212.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
205.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
203.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
199.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
196.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
195.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
189.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
188.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
183.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
181.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
179.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
179.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
179.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
171.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
167.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
163.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
163.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
158.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
154.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
153.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
153.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
152.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
150.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
142.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
135.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
132.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
129.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
127.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
126.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
121.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
117.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
111.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
107.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
107.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
98.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
96.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
95.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
91.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
80.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
71.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
70.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
70.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
66.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
61.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
60.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
56.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
55.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
55.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
50.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
49.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
48.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
45.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
44.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
35.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
29.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
26.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
19.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
18.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
17.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
15.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
14.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
13.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
11.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
11.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
10.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
8.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
7.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
4.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 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.
IGHA1 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
575.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
6501.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6314.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
4600.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
2060.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1932.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1798.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1633.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1555.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1350.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1196.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1187.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1120.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1062.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1026.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1016.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
977.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
939.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
892.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
878.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
867.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
633.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
600.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
581.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
553.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
542.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
471.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
470.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
424.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
399.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
396.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
372.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
353.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
317.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
299.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
296.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
295.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
261.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
242.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
226.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
221.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
205.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
199.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
193.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
189.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
179.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
175.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
169.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
147.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
139.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
136.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
134.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
134.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
133.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
121.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
120.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
113.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
104.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
104.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
95.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
86.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
81.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
77.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
70.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
67.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
66.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
64.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
56.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
56.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
51.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
49.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
49.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
44.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
30.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
22.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
17.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
16.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
15.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
13.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
11.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
8.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
7.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
6.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
4.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
4.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
3.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
3.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 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.
IGHA1 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
1711.3
Number of samples
207
Samples
Sample
Description
TPM
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
12331.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
7104.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
7046.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
6968.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
6554.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
6091.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
5989.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
5951.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
5732.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
5447.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
5199.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
5152.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
4978.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
4566.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
4499.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
4476.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
4290.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
4051.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
4016.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
3922.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
3650.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
3649.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
3595.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
3594.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
3576.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
3508.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
3385.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
3277.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
3222.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
3211.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
3137.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
3109.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
3070.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
3069.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
3051.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
2848.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
2784.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
2778.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
2776.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
2776.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
2744.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
2736.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
2715.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
2624.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
2623.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
2582.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
2527.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
2480.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
2458.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
2404.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
2351.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
2308.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
2277.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
2252.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
2224.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
2222.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
2198.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
2157.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
2153.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
2132.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
2109.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
2105.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
2061.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
2013.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1996.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
1976.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
1964.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
1951.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
1947.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
1937.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
1897.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
1880.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
1844.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1803.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
1770.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1751.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
1744.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
1725.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
1722.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
1719.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
1676.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
1662.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
1658.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1629.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1626.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1575.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
1529.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1514.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
1492.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
1443.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1384.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1381.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
1372.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
1360.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1348.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
1326.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
1317.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
1314.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
1312.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1310.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
1278.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1277.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1273.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
1271.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1251.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1212.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
1190.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1187.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
1184.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1176.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1173.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1161.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
1129.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1127.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1126.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1116.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1116.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
1082.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1069.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1063.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1007.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
986.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
982.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
977.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
966.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
943.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
938.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
928.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
926.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
895.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
890.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
874.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
733.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
713.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
676.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
669.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
659.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
650.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
644.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
642.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
632.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
630.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
617.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
616.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
611.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
609.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
607.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
597.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
586.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
581.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
579.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
523.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
500.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
493.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
482.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
476.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
460.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
460.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
459.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
436.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
410.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
408.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
403.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
368.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
338.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
336.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
333.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
330.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
315.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
313.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
288.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
287.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
284.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
264.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
263.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
260.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
235.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
226.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
222.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
222.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
216.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
210.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
208.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
208.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
201.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
187.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
186.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
162.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
157.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
151.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
139.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
139.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
132.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
128.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
127.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
112.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
102.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
101.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
68.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
66.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
58.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
46.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
20.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
7.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
5.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
2.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
2.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.9
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
1.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
1.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
1.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.9
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.9
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.9
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.7
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.9
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.9
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.9
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.9
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-1.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-1.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-1.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-1.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-1.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-1.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-1.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-1.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-1.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-1.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-1.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.7
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-1.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-1.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-1.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.9
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-1.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-2.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-2.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-2.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
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
