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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.
PI3 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
263.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
6813.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
5725.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3227.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2519.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2068.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1830.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1807.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1804.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1730.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1650.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1270.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
973.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
967.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
958.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
935.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
926.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
882.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
854.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
822.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
764.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
735.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
675.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
669.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
668.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
662.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
647.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
540.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
519.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
496.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
485.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
479.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
478.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
467.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
427.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
416.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
408.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
402.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
372.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
365.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
331.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
328.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
323.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
317.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
314.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
309.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
304.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
301.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
284.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
280.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
278.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
268.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
267.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
264.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
264.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
263.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
260.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
256.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
248.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
246.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
244.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
244.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
234.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
221.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
216.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
215.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
212.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
203.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
201.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
190.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
184.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
182.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
182.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
177.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
175.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
175.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
173.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
167.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
165.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
163.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
161.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
156.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
155.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
153.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
152.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
151.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
151.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
151.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
148.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
145.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
138.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
138.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
137.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
133.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
131.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
130.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
125.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
125.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
124.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
123.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
119.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
119.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
117.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
116.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
115.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
113.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
113.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
109.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
109.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
108.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
105.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
104.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
100.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
98.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
96.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
93.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
91.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
90.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
87.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
82.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
82.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
81.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
81.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
81.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
78.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
77.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
76.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
76.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
75.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
73.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
73.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
72.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
68.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
68.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
68.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
66.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
64.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
64.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
63.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
61.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
60.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
59.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
58.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
58.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
55.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
53.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
53.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
53.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
52.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
49.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
49.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
47.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
47.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
46.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
44.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
44.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
43.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
43.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
42.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
41.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
41.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
40.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
39.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
38.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
37.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
36.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
34.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
34.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
32.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
31.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
31.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
30.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
30.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
30.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
28.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
28.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
27.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
27.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
26.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
26.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
26.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
25.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
25.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
25.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
24.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
23.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
23.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
22.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
22.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
21.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
21.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
20.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
20.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
19.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
18.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
18.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
18.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
17.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
17.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
16.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
16.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
15.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
15.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
15.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
14.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
13.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
13.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
13.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
13.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
10.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
9.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
8.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
8.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
8.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
8.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
8.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
8.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
8.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
8.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
8.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
7.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
6.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
6.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
6.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
5.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
4.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
4.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
4.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
4.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
4.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
3.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
3.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
3.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
2.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
1.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
PI3 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
267.2
Number of samples
486
Samples
Sample
Description
TPM
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
3034.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
2795.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
2286.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
2165.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
2046.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1929.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1877.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1868.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1523.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1474.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1401.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1360.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1331.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1228.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1133.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1127.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
1127.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1095.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1051.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1027.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
993.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
982.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
964.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
922.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
917.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
896.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
870.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
851.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
851.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
835.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
813.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
787.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
761.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
759.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
738.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
716.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
700.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
680.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
669.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
660.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
630.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
595.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
592.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
591.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
588.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
579.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
572.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
566.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
564.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
561.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
555.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
545.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
533.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
527.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
526.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
523.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
509.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
507.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
507.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
506.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
501.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
494.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
488.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
478.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
475.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
469.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
467.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
466.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
464.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
461.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
461.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
454.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
453.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
453.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
451.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
449.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
443.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
442.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
441.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
441.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
441.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
440.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
433.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
432.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
428.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
418.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
418.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
418.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
413.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
411.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
409.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
407.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
398.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
390.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
382.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
376.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
376.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
375.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
371.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
370.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
365.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
362.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
361.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
359.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
353.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
353.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
350.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
345.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
345.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
338.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
337.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
337.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
334.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
334.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
330.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
328.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
328.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
323.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
320.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
319.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
316.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
311.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
309.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
307.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
307.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
305.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
305.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
305.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
304.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
302.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
302.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
300.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
296.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
293.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
285.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
283.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
281.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
281.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
280.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
279.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
277.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
277.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
275.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
272.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
271.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
270.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
269.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
269.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
269.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
267.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
266.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
266.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
264.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
264.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
263.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
261.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
261.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
260.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
259.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
258.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
258.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
255.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
254.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
253.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
252.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
248.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
245.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
245.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
244.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
244.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
244.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
241.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
241.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
238.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
237.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
232.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
232.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
231.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
228.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
227.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
225.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
224.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
222.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
222.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
221.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
218.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
218.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
217.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
216.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
216.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
215.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
213.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
209.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
205.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
204.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
203.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
202.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
202.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
201.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
199.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
197.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
196.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
195.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
193.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
193.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
190.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
190.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
189.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
189.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
187.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
186.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
184.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
182.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
182.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
180.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
180.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
179.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
176.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
174.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
174.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
174.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
174.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
173.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
173.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
172.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
172.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
172.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
171.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
171.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
170.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
169.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
169.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
169.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
168.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
168.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
166.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
164.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
163.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
163.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
162.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
161.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
160.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
160.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
158.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
156.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
156.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
156.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
152.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
151.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
148.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
148.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
147.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
147.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
146.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
146.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
146.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
145.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
145.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
142.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
141.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
140.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
139.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
139.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
139.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
137.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
135.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
134.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
133.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
133.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
131.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
130.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
130.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
129.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
128.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
128.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
128.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
127.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
126.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
126.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
125.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
124.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
124.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
123.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
123.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
120.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
120.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
120.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
119.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
118.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
118.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
118.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
117.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
116.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
116.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
116.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
113.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
112.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
111.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
111.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
110.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
105.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
105.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
104.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
103.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
103.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
102.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
102.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
101.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
100.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
99.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
98.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
97.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
96.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
96.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
96.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
96.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
95.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
94.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
94.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
93.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
92.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
92.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
92.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
91.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
91.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
90.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
89.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
89.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
89.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
88.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
88.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
88.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
86.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
83.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
83.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
81.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
81.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
81.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
80.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
80.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
80.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
79.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
78.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
77.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
77.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
75.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
75.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
75.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
74.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
74.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
72.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
72.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
72.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
71.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
71.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
70.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
70.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
69.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
68.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
68.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
68.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
67.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
67.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
66.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
66.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
65.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
64.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
64.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
64.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
63.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
62.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
62.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
62.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
61.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
60.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
60.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
59.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
59.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
59.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
58.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
58.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
57.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
57.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
57.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
54.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
53.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
53.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
52.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
51.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
50.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
49.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
49.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
49.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
47.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
47.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
44.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
44.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
43.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
42.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
42.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
40.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
40.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
40.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
39.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
39.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
39.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
38.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
36.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
36.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
35.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
34.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
32.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
32.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
32.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
31.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
31.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
30.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
29.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
28.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
28.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
28.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
28.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
27.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
27.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
26.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
26.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
25.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
24.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
23.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
23.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
22.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
22.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
21.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
21.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
20.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
20.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
20.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
20.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
20.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
20.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
20.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
19.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
18.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
17.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
16.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
16.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
16.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
16.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
16.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
16.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
15.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
15.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
14.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
13.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
12.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
12.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
11.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
11.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
10.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
8.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
8.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
7.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
6.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
6.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
3.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PI3 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
285.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
2891.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1488.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1415.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1228.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1218.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1096.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1049.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
834.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
732.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
668.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
646.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
643.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
608.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
585.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
542.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
524.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
506.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
479.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
479.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
451.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
440.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
411.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
383.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
380.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
318.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
281.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
237.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
233.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
220.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
212.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
211.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
192.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
173.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
159.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
147.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
144.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
142.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
130.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
128.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
126.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
118.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
111.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
110.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
107.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
91.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
89.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
87.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
86.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
83.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
80.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
78.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
77.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
77.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
71.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
69.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
69.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
67.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
62.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
58.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
57.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
55.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
50.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
49.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
47.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
38.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
36.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
35.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
35.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
34.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
32.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
30.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
25.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
22.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
22.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
15.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
12.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
12.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
11.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
10.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
10.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
8.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
7.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PI3 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
344.9
Number of samples
207
Samples
Sample
Description
TPM
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
2436.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
2060.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1967.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
1907.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
1384.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1371.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1291.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
1196.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
1165.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1154.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
1078.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
902.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
889.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
883.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
870.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
850.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
849.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
847.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
841.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
773.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
771.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
746.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
731.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
709.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
705.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
676.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
664.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
649.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
647.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
645.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
637.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
611.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
610.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
609.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
599.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
593.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
584.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
566.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
552.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
538.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
528.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
510.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
509.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
499.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
497.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
495.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
486.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
486.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
480.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
475.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
458.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
454.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
454.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
432.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
430.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
429.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
416.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
412.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
411.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
409.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
404.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
388.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
388.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
386.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
378.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
372.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
365.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
365.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
364.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
353.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
348.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
347.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
346.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
345.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
345.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
334.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
330.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
326.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
317.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
314.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
314.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
308.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
306.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
304.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
302.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
289.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
287.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
279.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
279.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
273.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
266.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
264.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
258.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
256.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
254.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
252.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
248.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
246.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
246.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
245.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
244.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
244.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
236.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
236.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
234.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
231.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
226.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
217.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
215.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
213.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
212.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
212.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
211.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
205.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
201.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
200.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
193.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
192.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
191.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
188.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
187.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
185.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
184.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
180.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
179.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
169.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
167.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
166.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
164.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
163.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
162.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
161.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
155.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
155.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
154.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
152.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
149.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
145.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
144.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
143.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
139.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
139.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
133.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
133.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
132.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
128.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
123.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
114.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
113.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
112.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
111.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
109.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
102.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
102.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
101.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
100.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
91.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
91.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
90.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
89.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
89.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
84.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
82.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
78.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
77.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
74.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
68.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
66.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
66.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
66.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
63.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
62.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
62.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
60.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
59.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
57.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
55.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
54.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
51.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
49.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
47.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
44.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
42.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
41.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
37.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
32.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
28.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
28.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
27.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
26.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
24.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
24.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
22.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
21.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
13.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
13.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
12.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
12.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
8.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
7.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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.