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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.
ITLN1 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
72.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1887.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1304.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1028.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
975.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
808.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
786.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
523.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
504.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
494.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
378.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
368.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
356.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
322.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
316.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
284.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
276.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
272.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
268.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
261.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
238.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
228.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
217.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
211.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
207.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
188.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
187.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
175.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
173.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
171.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
163.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
161.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
150.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
147.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
144.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
139.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
136.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
135.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
135.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
131.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
124.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
119.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
119.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
118.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
114.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
106.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
104.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
103.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
96.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
94.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
93.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
89.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
85.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
84.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
80.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
75.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
71.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
70.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
66.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
61.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
61.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
56.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
56.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
50.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
49.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
48.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
42.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
42.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
40.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
37.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
37.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
34.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
32.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
31.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
31.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
31.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
30.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
29.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
29.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
29.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
27.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
27.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
26.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
26.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
26.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
25.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
25.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
25.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
23.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
22.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
22.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
20.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
20.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
20.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
19.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
18.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
18.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
17.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
17.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
16.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
16.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
15.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
15.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
15.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
15.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
15.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
14.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
11.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
11.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
10.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
9.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
8.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
8.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
7.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
7.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
7.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
7.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
6.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
6.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
5.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
5.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
5.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
4.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
4.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
4.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
3.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
3.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
3.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
3.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
2.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
2.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
1.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
0.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
0.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
0.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
0.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
0.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
0.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
0.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
0.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
0.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
0.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
0.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
0.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
0.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
0.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
0.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
0.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
0.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
0.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
0.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
0.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
0.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
0.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
0.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
0.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
0.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
0.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
0.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
0.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
0.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
0.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
0.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
0.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
0.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
0.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
0.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
0.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
0.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
0.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
0.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
0.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
0.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
0.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
0.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
0.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
0.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
0.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
0.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
0.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
0.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
0.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
0.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
0.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
0.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
0.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
0.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
0.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
0.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
0.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
0.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
0.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
ITLN1 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
127.3
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
7296.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
2304.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
2069.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1798.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
1694.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1185.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1024.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
923.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
694.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
619.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
597.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
591.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
578.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
553.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
541.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
514.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
510.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
503.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
479.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
430.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
417.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
415.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
406.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
386.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
378.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
365.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
358.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
358.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
347.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
335.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
332.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
320.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
313.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
309.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
308.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
292.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
288.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
283.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
281.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
279.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
278.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
276.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
274.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
273.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
270.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
269.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
267.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
267.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
259.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
256.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
250.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
238.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
233.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
233.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
229.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
228.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
224.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
221.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
220.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
220.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
216.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
211.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
211.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
210.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
206.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
206.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
205.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
203.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
203.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
202.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
201.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
201.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
200.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
200.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
199.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
195.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
192.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
191.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
190.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
189.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
189.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
188.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
184.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
184.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
184.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
182.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
182.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
181.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
180.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
177.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
173.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
172.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
171.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
171.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
169.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
169.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
169.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
168.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
167.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
167.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
166.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
166.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
164.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
158.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
158.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
157.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
156.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
155.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
155.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
153.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
149.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
149.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
149.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
146.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
144.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
144.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
143.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
141.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
141.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
139.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
138.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
137.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
135.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
135.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
132.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
130.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
127.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
126.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
125.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
125.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
124.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
124.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
124.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
123.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
121.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
121.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
120.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
120.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
118.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
117.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
116.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
115.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
115.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
115.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
115.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
114.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
112.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
112.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
111.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
111.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
109.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
109.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
108.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
107.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
107.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
106.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
106.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
105.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
104.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
102.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
101.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
100.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
98.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
97.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
97.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
97.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
96.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
95.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
94.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
94.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
94.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
94.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
89.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
87.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
87.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
86.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
86.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
85.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
85.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
85.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
84.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
84.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
83.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
83.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
83.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
83.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
82.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
80.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
77.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
77.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
75.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
75.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
75.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
75.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
74.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
73.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
73.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
73.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
73.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
72.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
72.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
72.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
72.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
71.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
71.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
70.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
70.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
70.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
69.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
69.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
67.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
67.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
67.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
67.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
66.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
66.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
65.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
64.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
63.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
63.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
62.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
62.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
61.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
58.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
58.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
58.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
57.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
54.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
54.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
52.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
52.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
51.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
51.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
51.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
50.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
50.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
49.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
49.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
49.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
48.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
48.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
48.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
48.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
46.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
45.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
45.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
44.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
44.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
43.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
41.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
41.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
41.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
41.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
40.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
40.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
39.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
38.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
38.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
38.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
37.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
37.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
37.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
37.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
36.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
36.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
36.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
36.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
34.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
34.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
33.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
32.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
32.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
32.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
31.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
30.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
30.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
28.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
27.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
27.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
27.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
27.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
27.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
27.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
25.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
25.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
25.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
25.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
24.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
24.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
24.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
23.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
23.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
23.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
23.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
23.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
22.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
22.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
21.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
21.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
21.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
20.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
20.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
20.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
20.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
20.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
19.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
19.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
19.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
19.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
19.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
19.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
18.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
18.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
17.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
17.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
16.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
15.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
15.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
14.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
14.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
14.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
14.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
14.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
13.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
13.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
13.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
13.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
13.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
12.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
11.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
11.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
10.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
10.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
10.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
10.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
9.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
9.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
9.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
9.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
8.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
8.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
7.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
7.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
7.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
7.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
7.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
7.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
7.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
7.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
7.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
6.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
6.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
6.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
5.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
5.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
5.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
5.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
4.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
4.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
4.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
3.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
3.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
3.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
3.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
3.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
3.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
3.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
3.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
3.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
3.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
3.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
3.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
2.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
2.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
2.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
2.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
2.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
2.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
2.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
2.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
2.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
2.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
2.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
2.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
2.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
1.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
1.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
0.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
0.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
0.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
0.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
0.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
0.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
0.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
0.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
0.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
0.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
0.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
0.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
0.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
0.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
0.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
0.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
0.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
0.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
0.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
0.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
0.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
0.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
0.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
0.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
0.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
0.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
0.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
0.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
0.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
0.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
0.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
0.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
0.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
0.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
0.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
0.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
0.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
0.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
0.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
0.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
0.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
0.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
0.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
0.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
0.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
0.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
0.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
0.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
0.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
0.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
0.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
0.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
0.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 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.
ITLN1 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
96.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
2266.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1402.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
885.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
450.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
439.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
300.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
287.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
271.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
223.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
162.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
142.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
135.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
132.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
119.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
114.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
113.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
92.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
86.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
81.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
63.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
62.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
59.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
57.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
55.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
54.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
52.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
51.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
47.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
44.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
39.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
35.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
27.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
20.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
18.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
18.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
14.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
13.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
10.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
8.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
5.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
5.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
4.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
4.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
3.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
0.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
0.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
0.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
0.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
0.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
0.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
0.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
0.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
0.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
0.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
0.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
0.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
0.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
0.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
0.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
0.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
0.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
0.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
0.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
0.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
0.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
0.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
0.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
0.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
0.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 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.
ITLN1 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
115.2
Number of samples
207
Samples
Sample
Description
TPM
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
875.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
771.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
653.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
529.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
527.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
523.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
510.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
492.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
447.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
426.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
409.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
398.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
394.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
377.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
355.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
341.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
340.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
337.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
331.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
315.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
291.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
286.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
283.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
278.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
278.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
271.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
253.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
251.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
249.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
246.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
243.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
224.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
216.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
208.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
204.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
199.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
196.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
196.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
194.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
193.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
191.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
183.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
182.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
180.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
179.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
174.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
166.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
164.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
164.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
156.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
154.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
151.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
150.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
148.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
147.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
146.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
144.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
144.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
141.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
141.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
139.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
137.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
132.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
129.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
128.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
126.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
122.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
122.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
121.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
121.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
120.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
113.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
111.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
109.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
107.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
105.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
105.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
102.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
102.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
102.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
100.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
97.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
96.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
96.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
92.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
92.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
88.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
86.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
85.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
85.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
83.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
83.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
82.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
78.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
77.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
73.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
73.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
72.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
70.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
70.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
70.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
69.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
68.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
68.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
68.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
68.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
67.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
62.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
61.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
60.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
59.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
59.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
59.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
58.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
56.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
55.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
55.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
54.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
54.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
54.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
53.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
52.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
51.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
48.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
47.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
42.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
40.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
31.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
29.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
27.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
27.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
26.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
26.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
26.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
25.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
24.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
24.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
21.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
21.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
19.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
18.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
17.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
16.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
14.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
12.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
12.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
11.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
11.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
10.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
10.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
10.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
8.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
8.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
8.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
6.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
6.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
6.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
6.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
5.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
4.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
4.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
4.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
3.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
3.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
2.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
2.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
2.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
1.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
1.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
1.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
0.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
0.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
0.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
0.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
0.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
0.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
0.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
0.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
0.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
0.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
0.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
0.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
0.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
0.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
0.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
0.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
0.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
0.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
0.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
0.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
0.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
0.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
0.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
0.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
0.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
0.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
0.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
82157a70-12f1-4913-b548-d98881_D2
Normal
2.9
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
1.9
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
1.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
1.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
1.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
1.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.9
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.9
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.9
963fc8db-f412-4427-a198-23f660_D2
Normal
0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.9
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.8
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.8
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.8
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.8
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.8
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.6
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.8
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.8
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.9
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-1.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-1.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-1.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-1.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-1.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-1.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-1.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-1.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-1.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.9
2b810478-7956-4a8b-870d-184859_D2
Tumor
-1.9
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-1.9
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.9
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.9
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-1.9
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-2.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-2.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-2.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-2.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-2.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-2.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-2.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-2.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-2.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-2.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-2.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-2.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-2.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-2.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-2.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-2.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-2.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-2.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-2.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-2.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-2.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-2.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-2.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-2.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
