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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.
ZFP36L2 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
114.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
293.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
287.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
286.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
278.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
244.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
230.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
226.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
220.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
219.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
215.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
210.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
207.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
204.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
203.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
198.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
196.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
194.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
194.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
189.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
189.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
185.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
177.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
176.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
176.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
171.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
171.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
171.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
170.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
170.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
169.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
168.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
168.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
168.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
167.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
166.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
164.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
163.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
163.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
162.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
162.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
160.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
156.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
156.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
155.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
154.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
154.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
154.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
154.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
152.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
152.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
151.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
151.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
150.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
149.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
143.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
142.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
142.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
141.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
141.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
138.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
136.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
136.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
136.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
135.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
135.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
135.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
134.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
133.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
133.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
133.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
132.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
130.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
130.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
129.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
128.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
127.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
127.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
126.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
126.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
126.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
124.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
124.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
124.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
124.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
124.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
123.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
123.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
123.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
123.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
122.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
121.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
121.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
121.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
121.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
121.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
121.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
120.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
120.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
119.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
117.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
116.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
116.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
116.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
116.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
116.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
115.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
113.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
113.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
113.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
113.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
113.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
112.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
112.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
112.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
111.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
111.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
111.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
110.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
109.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
109.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
109.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
108.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
108.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
108.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
108.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
108.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
108.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
107.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
107.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
107.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
106.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
106.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
106.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
106.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
106.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
105.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
105.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
105.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
104.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
104.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
103.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
102.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
102.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
101.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
100.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
100.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
100.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
99.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
98.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
98.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
97.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
96.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
96.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
95.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
95.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
94.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
94.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
94.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
94.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
93.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
93.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
92.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
92.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
90.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
90.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
89.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
89.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
88.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
88.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
87.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
87.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
87.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
86.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
86.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
85.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
84.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
84.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
84.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
84.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
83.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
83.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
83.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
83.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
82.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
82.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
82.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
82.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
82.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
81.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
81.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
81.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
81.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
80.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
80.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
79.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
79.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
79.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
79.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
79.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
79.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
77.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
77.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
77.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
77.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
76.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
75.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
74.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
74.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
74.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
74.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
74.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
73.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
73.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
73.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
72.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
72.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
72.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
72.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
71.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
70.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
70.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
69.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
68.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
68.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
68.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
67.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
67.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
65.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
63.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
62.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
61.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
61.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
60.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
60.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
60.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
59.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
59.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
56.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
56.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
55.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
55.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
55.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
55.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
55.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
52.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
52.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
43.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
41.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
41.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
39.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
32.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
31.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
ZFP36L2 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
186.3
Number of samples
486
Samples
Sample
Description
TPM
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
491.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
488.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
431.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
402.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
380.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
358.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
344.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
343.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
338.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
332.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
330.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
321.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
319.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
315.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
314.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
314.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
305.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
301.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
300.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
295.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
295.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
294.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
292.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
292.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
289.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
289.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
288.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
285.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
283.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
282.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
281.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
281.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
280.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
277.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
277.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
275.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
274.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
273.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
272.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
270.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
269.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
269.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
268.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
267.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
266.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
263.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
263.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
262.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
262.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
261.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
261.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
260.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
259.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
259.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
259.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
258.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
258.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
258.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
255.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
253.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
253.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
252.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
252.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
251.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
250.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
249.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
248.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
248.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
247.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
247.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
247.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
246.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
245.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
245.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
245.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
245.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
244.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
244.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
242.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
241.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
241.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
241.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
240.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
240.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
238.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
236.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
235.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
234.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
234.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
233.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
233.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
233.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
232.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
232.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
230.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
230.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
230.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
229.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
228.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
226.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
226.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
226.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
226.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
225.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
225.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
224.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
224.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
224.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
222.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
222.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
221.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
219.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
219.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
219.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
218.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
217.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
217.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
216.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
216.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
216.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
216.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
216.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
215.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
215.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
214.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
213.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
213.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
213.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
212.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
212.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
212.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
211.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
211.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
210.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
210.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
210.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
210.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
209.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
209.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
209.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
208.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
208.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
207.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
206.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
206.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
206.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
206.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
206.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
205.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
205.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
205.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
205.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
205.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
204.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
204.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
204.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
204.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
203.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
203.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
203.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
203.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
202.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
202.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
202.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
202.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
202.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
202.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
202.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
202.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
201.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
201.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
201.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
200.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
200.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
199.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
199.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
198.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
198.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
198.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
198.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
198.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
197.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
197.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
196.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
196.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
195.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
195.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
195.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
195.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
195.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
195.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
195.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
195.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
195.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
195.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
194.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
193.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
193.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
193.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
193.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
193.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
192.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
192.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
192.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
191.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
191.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
191.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
191.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
190.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
189.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
189.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
189.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
189.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
189.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
188.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
188.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
188.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
188.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
188.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
187.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
186.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
186.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
186.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
186.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
186.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
185.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
185.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
185.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
185.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
184.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
184.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
184.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
184.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
183.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
182.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
182.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
182.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
182.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
182.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
181.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
181.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
180.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
180.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
180.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
180.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
180.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
179.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
179.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
178.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
178.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
178.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
178.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
178.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
177.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
177.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
177.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
176.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
176.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
176.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
175.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
175.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
174.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
174.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
174.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
174.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
173.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
173.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
173.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
173.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
172.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
171.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
171.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
171.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
171.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
171.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
169.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
169.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
169.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
169.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
168.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
168.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
168.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
168.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
168.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
167.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
167.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
167.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
166.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
166.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
165.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
165.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
165.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
165.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
165.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
165.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
165.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
163.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
163.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
163.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
163.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
163.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
162.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
162.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
162.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
162.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
162.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
162.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
161.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
161.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
160.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
160.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
160.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
159.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
159.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
159.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
159.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
159.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
158.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
158.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
157.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
157.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
157.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
157.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
157.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
157.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
157.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
156.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
156.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
156.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
156.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
156.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
156.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
155.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
155.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
154.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
154.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
154.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
154.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
154.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
153.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
153.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
153.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
152.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
152.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
152.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
152.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
152.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
152.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
152.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
151.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
151.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
151.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
150.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
150.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
150.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
149.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
149.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
148.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
148.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
148.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
148.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
148.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
147.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
147.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
147.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
147.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
146.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
146.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
146.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
145.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
145.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
145.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
145.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
144.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
143.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
143.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
143.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
142.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
142.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
142.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
142.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
141.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
140.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
139.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
139.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
139.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
138.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
138.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
138.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
138.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
137.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
137.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
136.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
136.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
136.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
135.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
135.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
135.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
135.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
134.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
134.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
133.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
133.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
133.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
133.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
132.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
131.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
131.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
131.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
130.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
130.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
130.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
129.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
129.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
129.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
129.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
129.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
129.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
128.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
128.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
128.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
127.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
127.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
127.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
126.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
126.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
124.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
124.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
123.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
123.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
122.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
122.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
122.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
121.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
121.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
119.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
118.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
118.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
117.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
117.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
116.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
115.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
115.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
114.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
114.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
113.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
113.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
112.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
112.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
112.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
111.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
110.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
110.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
109.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
109.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
108.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
108.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
106.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
106.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
103.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
103.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
102.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
102.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
100.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
100.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
98.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
98.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
98.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
96.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
93.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
92.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
92.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
90.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
86.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
86.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
84.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
84.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
82.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
81.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
79.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
70.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
68.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
67.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
40.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.6
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.
ZFP36L2 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
125.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
342.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
299.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
255.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
236.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
233.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
231.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
221.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
215.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
204.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
203.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
199.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
182.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
173.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
167.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
166.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
161.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
159.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
158.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
155.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
154.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
147.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
145.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
144.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
143.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
142.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
141.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
140.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
139.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
139.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
139.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
135.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
132.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
132.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
131.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
127.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
127.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
126.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
122.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
118.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
117.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
115.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
111.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
111.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
111.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
110.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
108.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
106.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
105.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
105.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
105.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
103.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
103.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
101.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
100.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
99.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
98.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
97.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
96.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
96.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
95.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
94.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
93.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
91.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
91.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
90.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
89.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
89.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
88.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
84.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
83.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
83.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
82.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
82.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
79.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
78.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
76.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
76.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
74.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
73.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
72.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
71.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
64.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
64.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
55.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
54.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
53.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
47.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ZFP36L2 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
189.2
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
495.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
442.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
412.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
358.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
339.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
337.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
336.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
333.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
332.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
329.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
324.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
320.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
316.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
315.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
308.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
306.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
301.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
291.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
290.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
286.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
281.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
274.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
272.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
271.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
266.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
265.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
256.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
254.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
249.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
249.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
247.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
247.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
243.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
242.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
241.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
238.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
238.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
238.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
236.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
236.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
236.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
235.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
235.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
234.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
233.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
230.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
229.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
226.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
225.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
221.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
220.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
220.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
220.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
217.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
216.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
216.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
214.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
213.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
213.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
213.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
212.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
212.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
212.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
211.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
209.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
208.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
206.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
205.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
205.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
205.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
203.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
203.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
202.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
202.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
201.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
200.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
200.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
197.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
196.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
196.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
195.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
195.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
195.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
195.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
194.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
192.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
192.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
192.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
191.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
189.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
188.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
187.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
186.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
186.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
185.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
185.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
185.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
184.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
182.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
182.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
182.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
181.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
180.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
177.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
177.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
176.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
176.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
176.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
176.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
175.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
174.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
174.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
172.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
171.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
171.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
170.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
169.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
168.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
168.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
168.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
168.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
167.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
167.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
167.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
165.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
165.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
165.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
164.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
164.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
163.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
163.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
163.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
162.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
161.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
161.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
160.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
158.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
156.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
155.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
154.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
153.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
151.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
151.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
151.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
149.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
148.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
147.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
147.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
147.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
147.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
146.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
146.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
145.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
145.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
143.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
143.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
142.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
142.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
142.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
142.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
140.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
140.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
140.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
140.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
139.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
138.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
138.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
137.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
136.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
135.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
135.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
132.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
129.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
128.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
127.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
124.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
123.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
123.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
121.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
121.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
119.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
118.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
116.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
115.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
114.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
114.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
112.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
111.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
111.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
109.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
108.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
108.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
107.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
105.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
105.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
105.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
104.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
98.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
92.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
92.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
92.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
89.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
82.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
77.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
76.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
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Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.9
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.5
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
