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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.
ILF2 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
118.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
243.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
226.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
214.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
211.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
206.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
198.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
196.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
196.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
192.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
188.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
186.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
183.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
180.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
177.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
176.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
172.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
172.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
171.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
170.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
169.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
169.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
168.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
168.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
168.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
167.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
166.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
164.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
163.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
160.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
160.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
160.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
158.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
158.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
158.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
158.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
157.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
153.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
153.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
152.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
151.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
150.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
149.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
149.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
148.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
147.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
146.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
145.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
145.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
145.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
144.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
144.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
143.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
143.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
142.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
142.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
142.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
142.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
141.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
139.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
138.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
138.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
138.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
138.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
137.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
137.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
137.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
137.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
137.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
136.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
136.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
134.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
134.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
134.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
134.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
134.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
133.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
133.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
133.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
132.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
132.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
132.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
131.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
131.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
131.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
130.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
130.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
130.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
130.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
130.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
129.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
128.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
128.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
127.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
127.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
126.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
126.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
125.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
125.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
124.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
124.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
123.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
123.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
123.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
123.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
123.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
123.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
123.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
122.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
122.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
122.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
122.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
120.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
119.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
119.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
119.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
118.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
118.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
118.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
117.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
117.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
117.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
116.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
116.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
115.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
115.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
115.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
114.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
114.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
114.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
114.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
114.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
113.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
112.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
111.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
111.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
111.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
111.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
111.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
110.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
110.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
110.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
109.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
109.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
109.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
109.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
109.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
109.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
108.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
108.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
107.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
107.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
106.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
106.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
106.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
106.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
105.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
105.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
105.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
104.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
104.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
102.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
102.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
102.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
102.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
102.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
102.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
101.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
101.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
100.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
100.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
100.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
100.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
100.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
99.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
98.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
98.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
98.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
97.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
97.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
97.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
97.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
96.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
95.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
95.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
95.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
94.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
94.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
94.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
93.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
93.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
93.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
93.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
93.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
93.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
92.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
92.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
92.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
90.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
90.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
90.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
90.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
89.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
89.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
89.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
89.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
89.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
87.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
87.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
87.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
86.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
86.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
86.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
85.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
84.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
82.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
81.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
81.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
81.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
81.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
81.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
80.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
80.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
79.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
79.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
79.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
79.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
77.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
77.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
77.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
76.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
75.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
74.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
74.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
74.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
72.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
71.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
71.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
70.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
69.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
67.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
67.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
67.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
65.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
65.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
65.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
64.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
63.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
63.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
61.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
55.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
54.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
ILF2 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
131.6
Number of samples
486
Samples
Sample
Description
TPM
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
361.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
286.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
252.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
229.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
226.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
225.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
219.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
217.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
216.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
214.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
213.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
212.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
208.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
207.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
206.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
203.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
201.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
201.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
200.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
197.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
194.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
193.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
193.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
193.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
192.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
192.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
190.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
189.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
187.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
187.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
186.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
185.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
185.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
183.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
183.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
182.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
182.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
180.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
180.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
180.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
179.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
179.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
179.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
178.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
177.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
177.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
176.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
176.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
175.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
175.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
175.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
175.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
174.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
174.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
174.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
173.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
173.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
173.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
173.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
172.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
172.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
172.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
169.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
169.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
169.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
168.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
168.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
167.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
167.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
167.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
167.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
166.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
166.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
166.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
165.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
165.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
165.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
165.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
165.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
164.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
164.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
164.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
164.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
164.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
163.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
163.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
163.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
163.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
162.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
162.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
162.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
161.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
161.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
161.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
159.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
159.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
158.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
158.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
158.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
158.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
158.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
157.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
157.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
157.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
157.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
156.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
156.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
155.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
155.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
155.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
155.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
155.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
155.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
155.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
154.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
154.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
154.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
154.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
153.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
153.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
153.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
153.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
152.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
152.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
152.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
152.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
151.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
151.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
151.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
151.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
151.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
150.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
150.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
150.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
149.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
148.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
148.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
148.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
148.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
147.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
147.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
147.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
146.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
146.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
146.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
146.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
146.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
146.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
145.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
145.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
145.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
145.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
144.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
144.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
144.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
144.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
144.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
144.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
143.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
143.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
143.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
143.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
143.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
143.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
143.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
142.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
142.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
142.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
142.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
142.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
141.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
141.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
141.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
141.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
140.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
140.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
140.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
140.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
140.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
140.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
140.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
139.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
139.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
138.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
138.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
138.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
138.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
138.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
138.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
137.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
137.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
137.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
137.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
137.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
137.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
137.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
136.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
136.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
136.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
136.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
136.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
135.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
135.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
135.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
135.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
135.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
135.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
134.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
134.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
134.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
134.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
134.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
133.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
133.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
133.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
133.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
132.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
132.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
132.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
132.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
132.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
131.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
131.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
131.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
131.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
131.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
131.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
131.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
131.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
131.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
131.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
130.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
130.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
130.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
130.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
130.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
129.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
129.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
129.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
129.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
129.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
128.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
128.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
128.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
128.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
128.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
128.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
128.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
127.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
127.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
127.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
126.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
126.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
126.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
125.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
125.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
125.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
125.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
125.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
125.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
125.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
125.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
125.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
124.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
124.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
124.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
124.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
123.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
123.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
123.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
123.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
123.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
123.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
123.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
123.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
123.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
122.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
122.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
122.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
122.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
121.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
121.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
121.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
120.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
120.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
120.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
120.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
120.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
120.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
120.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
119.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
119.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
119.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
119.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
118.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
118.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
118.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
118.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
118.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
118.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
118.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
118.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
118.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
118.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
117.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
117.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
117.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
117.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
117.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
117.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
117.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
116.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
116.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
116.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
116.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
116.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
115.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
115.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
115.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
115.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
115.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
115.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
114.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
114.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
114.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
113.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
113.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
113.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
113.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
113.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
113.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
113.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
113.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
113.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
113.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
112.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
112.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
111.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
111.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
111.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
111.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
111.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
111.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
110.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
110.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
110.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
110.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
110.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
110.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
110.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
109.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
109.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
109.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
109.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
109.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
109.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
108.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
108.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
108.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
107.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
107.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
107.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
107.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
107.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
107.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
107.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
107.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
107.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
107.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
107.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
107.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
106.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
105.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
104.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
104.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
104.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
104.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
104.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
104.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
103.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
103.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
103.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
103.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
103.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
103.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
102.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
101.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
101.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
101.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
100.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
100.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
100.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
100.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
100.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
100.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
99.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
99.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
99.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
99.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
98.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
98.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
98.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
98.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
98.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
98.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
98.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
98.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
98.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
98.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
97.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
97.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
97.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
97.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
97.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
96.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
96.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
96.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
96.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
95.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
95.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
95.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
95.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
95.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
95.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
94.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
94.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
94.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
93.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
92.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
91.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
91.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
91.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
91.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
91.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
90.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
90.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
90.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
90.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
90.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
89.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
89.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
88.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
88.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
88.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
88.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
87.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
87.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
87.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
87.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
87.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
86.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
86.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
86.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
86.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
85.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
85.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
84.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
83.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
83.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
82.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
82.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
81.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
80.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
80.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
80.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
79.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
78.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
78.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
78.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
77.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
76.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
75.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
74.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
72.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
72.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
72.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
71.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
68.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
68.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
67.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
65.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
60.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
58.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ILF2 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
121.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
242.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
216.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
205.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
202.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
202.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
182.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
180.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
178.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
172.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
166.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
163.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
163.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
162.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
161.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
161.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
159.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
157.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
156.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
154.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
153.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
153.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
152.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
152.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
149.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
146.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
146.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
145.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
143.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
141.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
139.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
137.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
136.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
134.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
134.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
133.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
132.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
131.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
130.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
128.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
128.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
126.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
126.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
124.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
121.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
119.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
119.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
118.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
117.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
114.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
113.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
111.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
111.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
110.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
109.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
108.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
108.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
107.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
103.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
103.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
102.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
101.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
101.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
99.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
98.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
97.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
94.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
93.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
91.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
90.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
89.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
88.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
87.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
84.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
83.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
79.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
78.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
74.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
74.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
73.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
70.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
66.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
63.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
54.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
48.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
35.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
30.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
29.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ILF2 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
117.1
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
231.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
218.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
204.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
191.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
181.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
180.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
178.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
177.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
177.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
175.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
174.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
173.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
173.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
171.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
170.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
168.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
168.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
166.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
163.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
162.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
161.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
161.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
156.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
154.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
150.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
149.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
149.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
148.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
148.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
148.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
146.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
145.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
144.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
143.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
143.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
143.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
142.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
142.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
141.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
141.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
140.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
140.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
140.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
140.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
140.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
138.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
137.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
137.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
137.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
136.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
136.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
134.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
134.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
133.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
133.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
132.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
132.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
132.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
131.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
131.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
131.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
131.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
131.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
131.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
130.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
130.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
129.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
128.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
128.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
128.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
127.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
126.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
126.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
126.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
126.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
125.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
124.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
124.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
123.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
122.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
122.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
121.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
120.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
120.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
120.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
119.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
118.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
118.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
118.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
117.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
117.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
116.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
116.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
116.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
116.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
115.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
115.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
114.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
114.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
114.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
113.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
113.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
113.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
112.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
112.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
112.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
111.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
111.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
111.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
111.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
111.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
110.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
110.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
110.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
110.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
110.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
109.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
109.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
109.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
109.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
107.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
106.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
106.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
106.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
106.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
105.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
105.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
104.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
104.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
104.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
104.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
104.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
103.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
102.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
102.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
101.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
101.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
100.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
100.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
100.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
100.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
100.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
100.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
99.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
99.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
98.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
98.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
97.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
97.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
96.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
96.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
96.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
95.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
95.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
95.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
94.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
94.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
94.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
94.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
92.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
92.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
91.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
91.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
91.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
91.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
91.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
90.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
90.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
90.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
90.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
89.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
89.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
88.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
88.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
88.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
87.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
87.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
87.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
86.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
86.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
85.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
85.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
84.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
83.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
83.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
83.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
83.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
83.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
83.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
83.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
82.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
82.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
82.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
81.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
80.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
79.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
78.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
77.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
70.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
66.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
66.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
65.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
63.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
63.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
62.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
61.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
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
