We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
ILF3 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
88.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
195.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
153.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
152.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
150.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
149.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
148.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
147.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
145.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
139.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
138.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
138.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
136.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
133.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
133.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
130.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
130.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
128.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
127.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
127.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
126.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
126.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
125.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
125.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
123.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
123.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
121.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
119.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
118.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
117.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
117.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
117.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
116.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
116.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
116.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
116.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
114.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
114.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
113.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
113.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
113.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
112.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
112.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
112.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
112.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
111.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
111.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
110.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
110.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
109.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
109.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
107.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
107.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
107.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
107.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
107.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
107.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
107.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
106.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
106.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
106.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
106.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
105.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
105.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
105.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
103.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
103.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
103.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
103.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
102.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
102.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
101.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
101.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
100.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
99.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
99.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
99.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
98.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
98.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
98.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
98.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
97.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
97.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
96.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
96.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
96.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
96.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
95.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
95.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
95.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
94.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
94.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
93.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
93.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
93.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
93.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
93.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
92.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
92.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
92.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
92.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
92.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
92.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
92.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
91.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
91.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
90.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
90.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
89.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
89.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
89.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
89.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
89.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
88.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
88.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
88.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
87.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
87.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
87.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
86.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
86.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
86.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
86.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
86.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
86.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
85.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
85.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
85.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
85.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
85.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
85.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
85.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
84.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
84.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
84.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
84.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
83.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
83.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
83.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
83.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
82.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
82.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
82.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
82.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
82.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
81.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
81.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
81.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
81.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
81.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
81.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
80.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
80.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
80.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
80.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
79.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
79.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
79.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
78.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
78.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
78.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
78.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
78.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
78.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
78.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
77.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
77.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
76.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
75.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
75.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
75.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
75.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
75.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
74.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
74.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
74.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
73.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
73.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
73.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
73.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
72.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
72.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
72.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
72.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
72.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
71.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
71.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
71.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
70.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
70.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
70.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
70.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
70.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
70.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
69.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
69.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
69.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
69.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
68.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
68.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
67.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
67.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
67.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
67.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
66.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
66.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
65.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
65.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
65.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
65.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
64.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
64.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
63.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
63.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
63.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
63.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
62.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
62.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
61.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
60.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
60.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
60.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
60.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
59.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
59.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
59.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
59.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
58.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
58.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
57.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
57.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
57.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
57.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
56.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
56.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
56.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
55.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
54.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
54.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
53.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
53.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
53.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
53.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
52.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
49.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
48.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
48.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
47.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
47.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
46.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
44.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
40.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
35.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
35.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
ILF3 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
171.3
Number of samples
486
Samples
Sample
Description
TPM
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
379.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
338.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
305.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
297.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
285.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
284.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
281.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
280.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
278.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
277.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
276.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
274.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
271.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
268.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
266.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
265.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
265.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
256.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
251.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
245.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
245.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
243.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
241.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
241.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
240.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
239.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
236.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
235.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
235.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
235.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
234.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
232.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
231.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
231.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
230.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
229.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
229.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
228.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
228.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
227.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
227.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
226.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
225.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
225.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
225.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
224.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
224.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
223.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
222.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
222.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
222.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
221.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
219.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
219.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
219.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
218.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
218.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
218.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
218.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
218.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
217.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
217.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
216.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
216.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
215.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
214.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
214.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
213.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
213.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
212.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
212.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
212.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
211.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
211.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
211.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
210.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
210.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
210.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
210.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
209.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
209.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
209.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
209.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
208.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
207.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
207.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
207.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
207.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
207.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
206.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
206.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
206.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
206.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
205.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
205.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
205.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
205.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
204.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
204.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
203.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
203.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
202.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
202.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
202.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
202.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
202.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
201.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
201.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
200.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
200.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
200.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
199.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
199.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
199.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
198.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
198.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
198.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
197.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
197.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
196.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
196.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
196.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
196.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
196.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
195.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
193.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
193.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
193.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
193.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
193.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
193.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
193.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
192.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
192.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
192.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
192.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
192.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
191.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
191.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
190.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
190.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
190.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
190.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
190.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
189.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
189.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
189.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
189.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
189.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
188.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
188.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
188.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
187.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
187.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
187.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
187.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
187.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
186.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
186.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
186.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
186.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
185.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
185.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
185.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
184.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
184.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
183.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
183.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
183.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
182.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
182.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
182.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
182.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
182.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
181.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
181.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
181.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
181.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
180.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
180.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
180.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
179.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
178.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
178.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
178.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
177.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
177.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
176.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
176.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
176.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
175.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
175.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
175.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
175.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
175.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
175.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
174.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
174.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
174.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
174.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
174.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
174.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
174.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
174.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
173.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
173.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
173.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
173.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
172.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
172.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
172.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
172.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
172.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
172.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
171.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
171.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
171.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
170.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
170.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
170.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
170.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
169.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
169.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
169.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
169.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
169.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
169.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
169.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
169.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
169.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
169.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
168.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
168.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
168.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
168.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
168.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
167.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
167.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
166.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
166.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
166.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
166.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
166.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
166.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
166.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
165.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
165.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
165.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
165.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
165.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
164.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
164.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
164.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
164.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
164.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
163.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
163.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
163.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
163.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
163.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
163.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
163.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
162.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
162.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
162.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
162.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
162.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
162.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
162.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
161.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
161.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
161.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
161.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
161.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
160.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
160.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
160.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
160.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
160.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
160.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
160.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
160.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
160.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
160.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
159.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
158.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
158.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
158.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
158.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
158.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
158.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
158.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
158.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
157.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
157.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
157.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
157.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
157.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
157.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
156.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
156.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
156.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
156.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
156.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
156.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
156.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
156.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
156.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
155.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
155.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
155.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
155.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
154.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
154.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
154.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
153.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
153.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
153.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
153.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
152.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
152.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
152.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
151.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
151.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
151.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
151.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
151.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
151.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
151.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
151.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
151.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
150.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
150.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
150.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
150.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
150.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
150.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
150.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
149.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
149.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
149.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
149.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
148.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
148.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
148.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
148.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
148.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
147.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
147.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
147.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
147.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
147.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
147.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
147.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
147.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
147.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
146.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
146.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
145.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
145.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
145.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
145.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
144.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
143.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
143.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
143.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
142.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
142.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
142.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
141.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
141.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
141.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
141.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
140.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
140.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
139.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
138.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
138.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
138.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
138.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
138.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
138.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
137.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
137.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
137.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
137.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
136.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
136.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
136.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
136.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
135.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
135.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
135.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
135.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
135.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
134.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
134.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
134.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
134.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
134.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
133.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
133.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
133.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
133.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
133.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
132.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
132.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
132.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
132.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
132.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
131.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
131.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
131.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
131.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
131.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
131.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
130.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
129.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
129.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
129.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
129.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
128.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
128.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
128.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
127.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
127.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
127.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
127.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
127.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
126.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
126.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
126.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
125.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
125.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
125.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
125.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
124.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
124.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
124.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
124.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
123.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
123.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
123.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
123.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
122.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
122.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
121.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
121.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
121.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
120.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
120.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
119.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
119.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
119.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
116.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
115.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
115.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
115.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
114.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
114.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
114.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
113.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
113.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
112.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
112.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
112.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
111.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
110.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
107.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
106.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
105.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
105.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
105.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
105.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
105.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
104.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
104.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
103.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
100.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
100.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
100.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
91.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
86.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
72.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
8.0
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.
ILF3 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
85.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
159.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
147.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
145.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
138.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
136.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
134.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
133.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
133.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
133.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
133.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
125.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
122.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
121.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
120.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
114.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
114.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
113.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
112.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
112.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
111.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
109.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
105.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
105.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
102.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
100.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
99.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
96.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
96.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
94.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
93.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
93.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
92.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
90.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
88.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
87.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
87.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
87.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
85.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
84.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
83.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
82.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
81.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
80.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
80.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
80.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
79.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
79.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
79.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
79.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
79.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
78.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
78.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
78.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
77.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
77.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
75.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
74.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
74.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
73.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
71.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
70.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
70.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
69.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
67.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
67.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
67.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
66.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
64.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
59.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
59.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
58.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
58.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
57.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
54.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
54.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
53.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
53.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
52.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
52.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
50.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
50.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
48.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
48.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
45.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
44.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
43.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
24.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
ILF3 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
165.3
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
336.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
298.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
273.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
270.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
266.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
259.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
255.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
254.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
252.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
251.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
249.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
247.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
244.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
237.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
236.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
234.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
232.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
232.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
226.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
226.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
225.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
220.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
217.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
216.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
216.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
215.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
209.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
209.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
208.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
206.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
205.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
204.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
203.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
203.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
203.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
202.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
202.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
201.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
201.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
201.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
201.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
199.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
198.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
196.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
195.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
194.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
194.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
194.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
193.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
192.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
192.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
191.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
191.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
190.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
190.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
189.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
188.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
187.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
186.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
186.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
185.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
184.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
182.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
181.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
180.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
180.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
180.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
179.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
179.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
178.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
176.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
176.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
174.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
174.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
173.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
171.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
171.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
170.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
168.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
168.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
167.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
167.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
167.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
166.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
165.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
165.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
165.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
165.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
164.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
164.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
163.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
163.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
162.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
162.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
161.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
161.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
161.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
161.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
159.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
159.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
159.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
158.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
158.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
158.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
157.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
156.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
156.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
155.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
153.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
153.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
152.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
152.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
152.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
152.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
151.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
151.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
151.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
150.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
149.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
149.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
149.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
149.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
148.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
148.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
147.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
146.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
146.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
145.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
145.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
145.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
144.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
144.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
144.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
144.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
144.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
143.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
143.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
143.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
143.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
142.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
142.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
142.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
141.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
140.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
140.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
140.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
140.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
140.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
140.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
139.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
139.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
139.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
138.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
138.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
138.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
138.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
137.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
136.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
135.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
135.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
135.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
134.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
134.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
134.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
132.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
132.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
132.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
132.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
132.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
132.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
131.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
130.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
130.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
129.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
129.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
129.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
128.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
126.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
125.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
124.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
124.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
121.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
120.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
119.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
119.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
119.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
118.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
118.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
117.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
117.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
117.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
116.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
113.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
113.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
109.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
108.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
107.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
107.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
107.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
105.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
105.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
104.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
104.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
97.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
85.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
83.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.