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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
YIF1A 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
92.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
172.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
167.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
163.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
162.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
161.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
157.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
153.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
152.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
146.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
143.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
141.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
140.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
140.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
139.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
139.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
138.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
135.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
134.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
133.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
133.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
132.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
130.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
129.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
129.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
128.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
126.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
125.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
123.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
122.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
122.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
122.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
121.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
120.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
120.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
119.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
119.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
119.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
118.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
118.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
117.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
117.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
117.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
117.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
117.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
117.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
117.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
117.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
117.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
116.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
116.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
115.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
113.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
113.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
112.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
112.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
112.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
111.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
111.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
111.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
110.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
110.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
110.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
109.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
109.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
109.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
109.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
109.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
108.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
108.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
107.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
107.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
107.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
106.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
106.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
106.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
106.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
106.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
106.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
105.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
105.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
104.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
104.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
104.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
103.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
103.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
103.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
102.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
102.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
102.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
102.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
102.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
102.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
102.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
101.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
101.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
101.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
101.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
101.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
100.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
100.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
100.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
100.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
100.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
100.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
99.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
99.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
99.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
98.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
98.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
98.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
97.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
97.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
96.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
95.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
95.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
95.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
95.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
94.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
94.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
94.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
93.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
93.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
93.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
92.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
92.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
92.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
92.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
92.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
92.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
91.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
91.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
91.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
91.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
90.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
90.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
89.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
89.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
88.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
88.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
88.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
88.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
88.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
87.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
87.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
87.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
86.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
86.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
86.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
85.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
85.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
85.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
85.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
85.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
84.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
84.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
84.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
83.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
83.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
82.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
82.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
80.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
80.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
80.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
80.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
80.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
80.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
80.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
79.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
78.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
78.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
77.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
77.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
77.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
76.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
76.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
76.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
76.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
76.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
76.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
74.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
74.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
73.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
73.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
73.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
73.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
73.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
71.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
71.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
70.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
70.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
70.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
70.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
69.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
69.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
69.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
69.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
69.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
69.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
68.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
68.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
68.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
68.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
68.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
68.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
68.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
68.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
66.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
66.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
65.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
65.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
65.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
64.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
64.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
64.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
64.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
64.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
63.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
63.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
63.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
62.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
62.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
60.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
60.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
60.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
59.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
58.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
58.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
58.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
57.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
57.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
57.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
57.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
57.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
57.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
56.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
55.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
55.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
55.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
55.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
55.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
50.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
50.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
48.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
48.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
47.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
45.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
45.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
44.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
43.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
32.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
31.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 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.
YIF1A 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
51.3
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
108.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
96.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
96.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
96.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
94.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
92.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
88.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
87.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
84.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
83.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
82.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
81.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
81.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
81.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
81.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
80.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
80.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
80.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
78.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
77.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
77.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
77.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
77.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
76.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
76.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
76.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
76.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
76.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
76.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
76.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
75.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
75.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
75.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
74.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
74.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
74.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
73.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
73.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
73.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
73.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
72.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
72.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
72.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
72.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
71.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
71.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
71.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
71.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
70.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
69.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
69.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
68.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
68.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
67.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
67.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
67.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
66.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
66.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
66.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
66.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
66.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
66.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
66.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
65.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
65.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
65.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
65.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
65.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
65.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
65.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
65.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
64.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
64.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
64.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
64.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
64.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
64.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
64.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
64.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
63.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
63.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
63.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
63.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
63.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
63.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
63.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
63.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
63.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
63.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
63.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
63.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
63.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
63.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
63.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
62.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
62.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
62.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
62.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
62.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
61.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
61.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
61.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
61.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
61.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
61.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
61.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
61.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
61.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
61.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
61.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
60.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
60.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
60.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
60.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
60.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
60.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
60.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
59.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
59.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
59.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
59.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
59.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
59.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
59.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
59.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
59.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
59.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
59.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
59.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
59.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
59.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
58.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
58.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
58.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
58.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
58.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
58.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
57.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
57.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
57.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
57.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
57.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
57.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
57.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
57.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
57.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
56.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
56.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
56.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
56.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
56.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
56.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
56.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
56.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
56.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
56.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
56.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
56.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
56.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
56.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
56.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
55.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
55.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
55.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
55.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
55.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
55.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
55.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
55.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
55.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
55.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
54.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
54.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
54.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
54.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
54.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
54.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
54.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
54.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
54.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
54.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
54.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
53.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
53.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
53.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
53.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
53.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
53.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
53.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
53.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
53.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
53.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
53.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
53.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
53.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
53.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
53.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
53.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
52.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
52.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
52.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
52.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
52.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
52.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
52.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
52.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
52.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
51.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
51.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
51.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
51.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
51.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
51.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
51.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
51.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
51.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
51.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
51.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
51.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
51.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
50.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
50.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
50.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
50.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
50.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
50.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
50.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
50.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
50.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
50.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
49.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
49.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
49.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
49.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
49.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
49.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
49.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
49.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
49.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
49.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
49.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
49.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
49.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
48.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
48.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
48.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
48.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
48.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
48.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
48.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
48.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
47.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
47.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
47.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
47.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
46.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
46.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
46.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
46.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
46.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
46.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
46.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
46.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
46.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
46.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
46.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
46.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
46.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
45.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
45.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
45.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
45.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
45.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
45.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
45.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
45.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
45.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
45.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
45.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
44.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
44.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
44.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
44.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
44.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
44.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
44.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
43.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
43.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
43.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
43.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
43.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
43.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
43.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
42.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
42.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
42.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
42.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
42.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
42.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
42.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
41.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
41.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
41.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
41.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
40.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
40.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
40.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
40.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
40.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
40.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
40.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
40.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
40.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
39.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
39.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
39.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
39.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
39.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
39.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
39.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
39.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
38.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
38.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
38.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
38.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
37.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
37.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
37.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
37.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
37.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
36.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
36.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
36.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
36.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
36.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
36.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
36.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
36.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
36.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
35.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
35.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
35.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
35.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
35.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
35.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
35.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
35.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
35.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
34.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
34.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
34.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
34.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
34.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
33.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
32.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
32.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
32.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
32.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
32.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
32.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
32.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
31.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
30.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
30.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
30.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
30.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
30.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
29.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
29.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
28.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
27.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
27.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
27.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
27.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
26.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
25.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
25.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
25.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
24.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
21.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
20.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
18.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
18.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
17.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
YIF1A 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
83.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
182.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
150.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
145.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
142.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
134.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
125.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
124.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
122.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
121.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
118.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
112.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
111.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
110.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
109.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
109.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
107.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
102.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
102.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
101.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
100.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
99.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
97.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
96.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
96.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
95.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
94.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
93.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
93.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
93.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
91.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
91.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
90.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
88.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
87.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
86.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
85.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
85.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
85.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
84.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
84.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
83.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
83.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
80.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
79.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
79.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
78.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
78.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
78.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
77.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
76.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
75.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
74.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
74.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
73.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
71.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
71.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
70.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
70.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
70.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
69.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
69.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
69.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
67.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
66.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
66.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
66.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
65.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
65.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
64.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
63.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
62.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
62.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
58.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
58.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
57.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
55.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
55.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
54.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
53.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
53.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
53.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
44.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
39.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
38.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
32.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
24.4
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.
YIF1A 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
43.7
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
94.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
88.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
76.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
73.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
72.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
71.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
69.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
69.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
67.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
67.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
66.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
65.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
65.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
64.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
63.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
63.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
62.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
62.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
62.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
62.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
61.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
61.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
61.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
60.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
60.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
60.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
59.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
59.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
58.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
57.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
57.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
57.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
56.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
56.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
56.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
56.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
55.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
54.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
54.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
53.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
52.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
52.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
52.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
52.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
52.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
51.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
51.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
51.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
51.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
51.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
50.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
49.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
49.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
49.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
48.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
48.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
47.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
47.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
46.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
46.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
46.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
46.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
45.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
45.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
44.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
44.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
44.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
44.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
43.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
43.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
43.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
43.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
43.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
43.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
43.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
43.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
43.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
42.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
42.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
42.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
42.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
41.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
41.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
40.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
40.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
40.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
40.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
39.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
39.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
39.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
39.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
38.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
38.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
37.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
36.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
36.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
36.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
35.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
35.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
35.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
34.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
33.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
33.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
33.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
33.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
32.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
32.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
32.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
32.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
32.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
31.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
30.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
29.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
29.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
28.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
28.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
28.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
25.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
25.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
24.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
22.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
22.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
21.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
21.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
20.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
19.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
19.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
19.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
2.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
1.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.9
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.9
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.7
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-1.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
