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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.
RNASET2 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
110.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
385.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
376.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
316.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
280.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
273.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
256.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
247.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
239.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
238.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
231.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
228.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
224.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
223.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
214.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
210.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
207.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
202.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
201.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
196.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
195.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
193.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
193.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
183.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
179.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
178.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
171.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
170.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
170.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
167.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
166.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
165.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
164.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
161.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
161.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
156.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
156.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
154.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
154.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
152.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
147.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
147.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
145.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
145.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
145.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
144.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
144.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
142.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
141.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
140.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
140.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
139.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
138.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
137.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
136.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
135.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
134.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
131.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
131.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
130.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
130.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
129.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
129.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
127.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
127.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
127.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
126.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
125.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
125.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
124.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
124.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
123.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
122.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
121.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
119.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
119.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
119.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
118.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
117.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
117.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
116.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
116.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
116.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
116.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
116.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
115.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
115.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
115.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
114.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
114.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
112.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
112.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
111.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
110.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
109.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
109.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
108.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
108.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
108.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
108.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
108.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
108.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
108.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
107.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
107.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
107.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
107.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
106.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
106.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
106.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
105.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
105.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
105.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
104.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
104.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
104.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
103.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
103.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
103.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
103.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
102.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
102.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
102.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
101.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
100.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
100.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
100.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
99.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
99.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
97.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
97.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
97.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
96.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
96.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
96.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
96.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
95.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
95.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
95.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
94.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
94.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
92.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
92.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
92.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
92.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
91.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
91.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
91.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
90.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
89.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
89.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
88.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
88.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
88.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
88.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
87.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
87.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
87.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
87.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
87.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
86.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
85.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
85.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
85.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
85.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
85.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
85.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
85.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
84.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
84.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
84.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
84.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
84.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
83.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
83.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
83.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
82.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
81.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
81.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
81.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
81.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
81.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
80.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
80.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
80.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
79.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
78.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
78.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
78.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
77.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
77.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
77.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
77.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
76.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
76.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
76.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
75.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
75.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
73.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
73.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
72.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
71.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
70.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
70.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
70.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
70.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
70.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
69.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
69.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
68.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
68.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
67.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
67.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
66.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
66.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
66.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
64.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
63.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
62.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
62.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
62.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
61.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
61.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
61.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
60.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
59.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
59.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
59.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
59.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
59.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
58.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
58.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
57.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
57.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
57.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
56.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
56.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
55.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
55.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
55.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
54.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
54.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
51.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
50.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
49.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
48.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
43.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
42.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
42.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
41.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
40.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
39.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
38.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 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.
RNASET2 is potential prognostic, high expression is favorable 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
79.7
Number of samples
486
Samples
Sample
Description
TPM
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
264.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
211.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
190.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
185.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
178.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
176.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
176.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
173.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
166.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
165.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
165.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
164.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
164.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
163.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
162.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
160.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
155.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
151.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
150.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
150.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
149.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
148.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
146.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
143.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
143.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
143.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
142.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
142.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
142.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
141.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
139.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
135.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
135.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
133.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
133.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
133.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
133.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
133.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
131.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
128.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
127.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
127.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
126.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
126.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
126.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
126.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
126.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
125.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
125.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
123.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
122.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
122.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
120.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
120.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
120.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
119.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
119.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
119.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
118.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
118.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
118.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
115.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
114.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
114.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
114.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
114.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
113.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
112.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
112.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
111.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
110.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
109.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
108.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
107.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
107.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
106.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
106.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
106.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
105.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
105.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
105.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
105.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
104.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
104.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
102.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
102.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
102.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
101.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
101.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
101.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
101.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
101.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
100.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
100.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
100.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
100.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
100.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
100.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
99.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
99.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
99.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
98.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
98.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
98.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
98.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
98.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
98.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
97.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
97.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
97.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
96.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
96.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
95.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
95.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
95.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
95.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
94.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
94.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
94.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
94.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
94.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
94.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
93.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
93.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
93.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
93.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
92.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
92.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
92.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
92.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
92.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
92.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
91.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
91.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
91.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
91.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
91.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
91.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
91.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
90.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
90.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
90.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
90.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
90.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
90.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
90.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
90.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
89.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
89.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
89.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
89.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
88.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
88.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
88.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
88.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
88.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
88.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
88.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
88.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
87.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
87.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
87.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
87.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
87.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
86.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
86.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
86.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
86.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
86.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
86.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
86.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
85.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
85.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
85.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
85.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
85.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
85.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
84.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
84.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
84.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
84.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
84.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
84.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
84.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
84.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
83.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
83.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
83.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
83.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
82.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
82.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
82.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
81.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
81.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
81.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
81.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
81.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
81.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
81.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
80.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
80.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
80.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
80.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
79.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
79.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
79.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
79.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
79.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
78.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
78.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
78.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
78.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
77.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
77.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
77.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
77.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
77.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
77.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
77.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
76.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
76.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
76.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
76.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
76.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
75.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
75.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
75.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
75.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
74.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
74.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
74.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
74.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
74.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
74.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
74.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
74.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
74.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
74.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
73.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
73.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
73.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
73.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
73.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
73.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
72.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
72.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
72.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
72.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
72.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
72.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
72.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
72.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
72.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
72.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
71.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
71.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
71.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
71.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
71.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
71.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
71.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
71.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
71.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
70.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
70.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
70.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
70.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
70.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
70.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
70.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
69.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
69.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
69.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
69.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
69.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
69.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
68.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
68.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
68.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
68.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
68.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
68.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
67.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
67.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
67.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
67.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
67.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
67.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
67.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
67.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
67.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
67.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
66.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
66.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
66.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
66.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
66.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
66.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
66.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
66.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
66.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
66.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
66.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
65.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
65.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
65.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
65.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
65.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
65.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
65.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
65.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
65.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
65.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
64.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
64.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
64.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
64.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
63.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
63.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
63.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
63.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
63.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
63.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
63.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
62.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
62.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
62.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
62.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
62.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
62.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
62.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
62.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
62.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
62.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
62.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
62.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
61.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
61.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
61.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
61.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
60.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
60.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
60.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
60.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
59.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
59.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
59.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
59.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
58.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
58.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
58.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
58.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
58.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
58.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
58.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
57.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
57.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
57.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
57.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
57.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
57.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
57.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
57.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
57.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
57.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
57.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
57.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
56.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
56.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
56.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
56.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
56.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
55.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
55.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
55.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
55.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
55.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
54.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
54.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
54.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
54.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
54.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
54.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
54.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
54.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
53.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
53.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
53.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
53.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
52.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
52.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
52.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
52.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
52.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
52.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
52.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
52.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
51.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
51.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
51.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
51.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
51.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
50.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
50.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
50.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
50.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
50.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
49.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
49.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
49.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
49.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
47.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
47.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
46.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
46.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
46.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
45.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
45.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
45.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
45.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
44.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
44.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
42.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
42.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
42.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
42.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
42.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
42.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
41.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
41.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
41.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
40.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
40.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
38.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
38.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
37.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
37.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
37.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
35.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
35.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
35.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
33.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
31.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
30.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
30.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
28.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
25.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
23.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.9
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.
RNASET2 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
125.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
574.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
427.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
307.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
266.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
258.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
224.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
199.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
188.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
182.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
181.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
177.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
174.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
173.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
167.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
162.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
156.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
155.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
154.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
152.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
147.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
147.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
146.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
142.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
139.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
138.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
135.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
133.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
133.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
132.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
132.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
130.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
128.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
127.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
126.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
126.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
126.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
123.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
121.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
118.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
116.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
111.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
111.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
110.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
107.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
106.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
105.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
104.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
104.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
103.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
102.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
101.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
100.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
100.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
99.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
94.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
94.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
94.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
93.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
93.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
92.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
92.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
89.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
87.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
86.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
85.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
84.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
84.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
83.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
80.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
80.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
78.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
77.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
73.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
73.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
73.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
68.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
65.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
64.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
64.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
63.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
60.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
58.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
56.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
55.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
50.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
50.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
50.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 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.
RNASET2 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
78.3
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
294.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
264.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
182.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
182.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
176.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
162.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
156.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
153.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
152.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
152.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
147.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
146.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
145.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
142.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
137.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
134.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
133.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
132.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
132.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
130.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
128.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
126.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
124.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
124.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
123.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
122.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
120.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
119.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
117.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
115.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
114.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
112.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
112.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
110.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
108.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
106.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
106.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
104.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
103.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
103.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
102.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
97.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
96.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
96.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
95.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
95.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
95.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
93.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
93.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
93.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
92.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
90.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
90.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
89.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
89.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
89.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
89.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
85.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
84.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
84.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
83.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
83.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
82.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
82.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
82.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
82.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
81.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
81.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
81.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
80.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
80.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
80.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
79.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
79.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
79.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
78.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
78.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
77.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
76.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
76.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
76.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
76.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
76.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
75.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
75.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
75.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
75.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
75.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
75.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
74.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
74.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
74.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
74.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
73.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
73.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
73.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
73.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
73.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
72.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
72.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
72.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
72.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
72.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
72.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
71.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
71.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
70.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
69.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
69.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
69.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
69.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
68.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
68.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
67.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
67.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
66.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
66.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
66.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
65.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
65.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
64.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
64.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
64.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
64.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
63.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
63.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
63.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
62.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
62.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
62.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
61.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
61.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
61.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
60.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
60.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
59.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
59.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
58.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
58.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
58.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
58.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
58.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
58.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
57.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
57.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
57.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
57.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
57.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
56.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
56.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
56.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
55.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
55.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
55.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
55.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
55.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
55.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
55.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
54.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
53.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
53.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
52.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
51.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
50.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
50.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
50.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
50.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
49.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
46.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
45.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
44.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
44.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
43.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
42.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
42.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
41.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
38.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
37.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
36.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
33.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
29.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
23.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
19.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
2.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
1.9
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
1.2
8cc7e656-0152-4359-8566-0581c3
Tumor
1.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
1.1
b2400046-1d25-429d-a821-6040a6
Tumor
1.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
1.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.9
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.8
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.8
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.8
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.9
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-2.0
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
