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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.
SNRNP70 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
83.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
173.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
142.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
135.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
134.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
133.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
130.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
130.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
130.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
130.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
129.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
126.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
125.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
125.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
124.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
124.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
122.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
120.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
119.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
119.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
118.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
117.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
116.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
115.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
114.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
114.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
114.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
113.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
112.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
110.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
109.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
108.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
107.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
107.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
107.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
107.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
107.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
106.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
106.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
106.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
104.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
104.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
104.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
103.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
103.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
102.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
102.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
102.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
101.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
101.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
101.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
101.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
100.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
100.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
100.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
99.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
98.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
97.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
97.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
97.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
96.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
96.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
96.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
95.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
95.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
95.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
95.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
94.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
94.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
93.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
93.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
93.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
93.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
93.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
93.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
93.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
92.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
92.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
92.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
92.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
92.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
92.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
92.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
91.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
91.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
91.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
91.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
91.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
90.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
90.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
90.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
90.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
90.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
90.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
89.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
89.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
89.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
88.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
88.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
88.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
88.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
88.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
88.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
87.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
87.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
87.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
86.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
86.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
86.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
86.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
86.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
85.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
85.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
85.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
85.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
84.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
84.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
84.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
84.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
84.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
84.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
84.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
83.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
83.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
83.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
83.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
83.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
83.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
82.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
82.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
82.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
81.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
81.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
81.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
80.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
80.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
80.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
80.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
80.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
79.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
79.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
79.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
79.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
78.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
78.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
78.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
77.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
77.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
77.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
77.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
77.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
76.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
76.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
76.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
76.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
75.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
75.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
75.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
75.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
75.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
75.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
74.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
74.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
74.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
74.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
73.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
73.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
73.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
73.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
72.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
72.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
72.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
72.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
72.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
71.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
71.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
71.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
70.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
70.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
70.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
70.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
70.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
70.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
70.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
69.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
69.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
69.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
69.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
69.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
69.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
69.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
69.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
68.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
68.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
68.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
68.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
67.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
66.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
66.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
66.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
66.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
66.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
65.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
65.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
64.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
64.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
63.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
62.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
62.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
62.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
61.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
61.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
60.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
60.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
60.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
60.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
59.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
59.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
58.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
58.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
58.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
58.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
57.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
57.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
56.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
56.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
56.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
55.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
55.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
54.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
54.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
54.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
54.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
54.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
54.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
52.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
52.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
52.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
51.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
51.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
51.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
51.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
48.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
47.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
45.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
45.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
45.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
45.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
38.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
38.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
36.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
SNRNP70 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
39.6
Number of samples
486
Samples
Sample
Description
TPM
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
73.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
71.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
66.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
64.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
63.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
63.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
62.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
61.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
61.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
60.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
60.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
60.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
60.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
59.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
59.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
58.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
58.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
58.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
58.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
57.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
56.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
56.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
56.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
55.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
55.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
55.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
54.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
54.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
54.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
53.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
53.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
53.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
52.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
52.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
52.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
52.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
52.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
51.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
51.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
51.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
51.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
51.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
51.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
51.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
50.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
50.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
50.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
50.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
50.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
50.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
50.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
50.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
50.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
50.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
49.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
49.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
49.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
49.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
49.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
49.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
49.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
49.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
49.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
48.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
48.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
48.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
48.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
48.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
48.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
48.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
48.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
48.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
48.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
47.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
47.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
47.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
47.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
47.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
47.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
46.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
46.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
46.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
46.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
46.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
46.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
46.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
46.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
46.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
46.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
46.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
46.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
46.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
46.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
46.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
45.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
45.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
45.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
45.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
45.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
45.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
45.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
45.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
45.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
45.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
45.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
45.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
45.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
45.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
44.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
44.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
44.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
44.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
44.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
44.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
44.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
44.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
44.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
44.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
43.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
43.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
43.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
43.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
43.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
43.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
43.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
43.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
43.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
42.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
42.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
42.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
42.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
42.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
42.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
42.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
42.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
42.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
42.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
42.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
42.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
42.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
42.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
42.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
42.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
41.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
41.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
41.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
41.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
41.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
41.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
41.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
41.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
41.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
41.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
41.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
41.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
41.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
41.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
41.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
41.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
40.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
40.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
40.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
40.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
40.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
40.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
40.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
40.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
40.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
40.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
40.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
40.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
40.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
40.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
40.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
40.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
40.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
40.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
40.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
40.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
40.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
40.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
39.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
39.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
39.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
39.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
39.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
39.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
39.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
39.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
39.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
39.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
39.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
39.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
39.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
39.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
38.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
38.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
38.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
38.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
38.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
38.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
38.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
38.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
38.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
38.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
38.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
38.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
38.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
37.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
37.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
37.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
37.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
37.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
37.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
37.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
37.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
37.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
37.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
37.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
37.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
37.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
37.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
36.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
36.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
36.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
36.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
36.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
36.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
36.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
36.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
36.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
36.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
36.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
36.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
36.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
36.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
36.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
36.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
36.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
35.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
35.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
35.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
35.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
35.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
35.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
35.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
35.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
35.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
35.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
35.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
35.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
35.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
35.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
35.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
35.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
35.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
35.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
35.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
35.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
34.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
34.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
34.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
34.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
34.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
34.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
34.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
34.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
34.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
34.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
34.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
34.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
34.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
34.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
34.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
34.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
34.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
34.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
34.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
34.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
33.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
33.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
33.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
33.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
33.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
33.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
33.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
33.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
33.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
33.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
33.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
33.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
33.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
33.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
33.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
33.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
33.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
32.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
32.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
32.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
32.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
32.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
32.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
32.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
32.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
32.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
32.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
32.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
32.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
32.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
32.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
32.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
32.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
31.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
31.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
31.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
31.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
31.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
31.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
31.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
31.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
31.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
31.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
31.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
31.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
31.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
30.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
30.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
30.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
30.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
30.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
30.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
30.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
30.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
30.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
30.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
30.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
30.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
30.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
29.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
29.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
29.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
29.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
29.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
28.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
28.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
28.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
28.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
27.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
27.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
27.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
27.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
27.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
27.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
27.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
27.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
27.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
26.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
26.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
26.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
26.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
26.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
25.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
25.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
24.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
24.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
24.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
24.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
24.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
24.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
23.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
23.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
22.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
22.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
21.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
20.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
19.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
19.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
17.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.8
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.
SNRNP70 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
75.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
129.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
128.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
127.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
119.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
119.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
119.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
111.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
111.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
108.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
108.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
103.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
103.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
98.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
97.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
94.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
94.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
93.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
92.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
89.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
89.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
87.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
87.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
86.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
85.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
84.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
84.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
83.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
83.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
82.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
81.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
81.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
80.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
80.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
80.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
80.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
79.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
79.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
78.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
77.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
76.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
75.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
74.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
74.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
74.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
73.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
72.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
71.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
71.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
70.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
70.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
70.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
70.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
69.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
69.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
68.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
68.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
67.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
67.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
67.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
65.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
64.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
63.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
63.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
62.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
60.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
60.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
59.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
58.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
57.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
55.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
55.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
55.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
53.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
53.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
51.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
51.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
50.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
49.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
48.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
47.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
46.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
44.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
42.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
41.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
39.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
36.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
31.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 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.
SNRNP70 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
41.7
Number of samples
207
Samples
Sample
Description
TPM
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
82.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
69.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
69.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
64.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
61.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
61.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
61.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
59.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
59.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
58.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
58.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
58.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
58.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
58.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
56.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
56.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
55.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
55.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
55.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
55.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
55.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
54.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
54.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
54.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
52.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
52.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
52.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
51.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
51.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
50.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
50.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
50.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
50.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
50.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
49.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
49.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
48.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
48.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
48.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
48.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
47.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
47.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
47.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
47.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
46.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
46.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
46.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
45.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
45.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
45.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
44.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
44.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
44.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
44.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
44.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
44.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
44.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
43.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
43.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
43.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
43.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
43.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
42.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
42.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
42.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
42.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
42.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
41.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
41.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
41.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
41.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
40.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
40.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
40.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
39.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
39.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
39.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
39.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
39.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
39.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
39.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
39.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
39.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
39.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
38.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
38.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
38.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
37.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
37.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
37.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
37.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
37.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
36.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
36.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
36.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
36.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
36.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
36.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
36.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
36.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
36.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
35.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
35.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
35.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
34.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
34.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
34.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
34.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
34.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
34.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
33.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
33.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
33.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
32.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
32.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
32.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
31.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
31.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
31.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
30.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
30.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
30.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
30.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
30.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
29.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
29.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
29.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
27.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
26.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
26.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
26.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
25.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
21.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
20.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
18.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
17.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
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Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
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Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
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Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
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Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
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Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
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
