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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.
ZFP36L1 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
111.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
457.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
296.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
292.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
288.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
277.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
262.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
261.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
252.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
247.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
244.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
241.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
240.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
239.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
230.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
217.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
216.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
210.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
208.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
202.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
202.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
200.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
199.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
198.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
197.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
196.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
196.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
194.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
194.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
190.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
189.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
186.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
184.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
183.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
179.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
179.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
178.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
173.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
171.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
171.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
168.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
166.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
163.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
161.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
161.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
160.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
160.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
159.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
158.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
157.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
156.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
156.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
155.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
152.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
150.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
150.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
148.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
147.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
145.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
144.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
144.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
144.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
144.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
142.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
139.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
139.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
139.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
137.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
137.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
137.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
135.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
134.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
133.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
132.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
132.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
132.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
131.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
131.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
131.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
130.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
130.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
129.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
127.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
126.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
125.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
123.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
122.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
121.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
121.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
121.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
121.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
120.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
120.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
120.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
120.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
119.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
119.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
118.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
116.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
116.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
115.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
115.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
113.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
111.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
111.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
111.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
110.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
110.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
109.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
109.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
108.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
108.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
106.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
106.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
104.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
104.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
103.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
103.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
102.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
101.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
100.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
100.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
100.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
99.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
99.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
97.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
97.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
97.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
96.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
96.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
96.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
95.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
94.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
94.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
93.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
93.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
92.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
92.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
91.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
90.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
89.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
89.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
89.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
89.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
88.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
88.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
87.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
86.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
85.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
85.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
84.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
84.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
84.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
84.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
83.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
83.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
82.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
82.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
82.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
81.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
81.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
81.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
80.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
78.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
78.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
77.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
77.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
77.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
77.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
76.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
76.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
76.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
75.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
75.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
75.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
75.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
75.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
73.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
71.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
71.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
69.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
69.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
68.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
68.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
67.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
67.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
67.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
67.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
67.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
67.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
67.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
66.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
65.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
64.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
64.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
64.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
64.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
64.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
63.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
63.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
63.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
62.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
62.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
62.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
61.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
61.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
60.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
60.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
59.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
59.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
58.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
57.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
57.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
56.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
55.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
54.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
53.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
53.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
53.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
52.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
52.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
52.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
50.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
50.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
49.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
49.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
47.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
46.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
45.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
45.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
45.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
44.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
44.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
44.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
43.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
43.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
43.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
42.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
42.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
41.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
41.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
39.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
39.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
36.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
36.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
34.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
34.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
33.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
33.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
30.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
29.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
28.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
ZFP36L1 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
216.8
Number of samples
486
Samples
Sample
Description
TPM
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
748.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
660.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
623.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
569.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
551.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
493.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
490.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
482.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
476.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
460.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
438.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
432.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
432.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
431.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
430.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
421.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
405.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
404.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
403.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
402.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
399.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
398.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
392.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
388.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
385.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
384.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
378.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
377.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
377.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
374.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
373.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
372.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
371.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
369.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
366.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
363.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
362.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
360.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
358.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
353.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
351.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
349.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
347.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
345.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
343.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
338.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
338.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
337.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
331.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
331.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
329.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
326.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
324.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
322.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
320.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
318.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
318.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
316.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
313.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
312.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
311.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
311.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
310.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
310.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
307.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
304.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
302.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
302.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
299.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
299.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
299.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
298.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
298.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
297.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
296.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
294.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
292.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
292.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
291.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
290.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
290.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
289.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
288.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
288.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
287.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
286.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
286.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
284.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
283.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
283.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
282.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
281.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
281.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
280.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
280.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
277.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
276.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
276.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
275.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
273.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
273.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
271.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
271.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
271.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
270.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
269.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
269.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
268.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
268.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
268.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
268.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
267.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
265.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
264.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
263.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
263.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
263.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
262.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
262.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
261.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
261.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
260.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
260.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
260.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
259.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
259.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
258.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
258.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
257.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
257.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
257.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
257.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
256.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
256.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
255.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
255.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
254.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
254.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
253.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
253.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
252.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
252.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
251.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
251.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
251.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
251.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
249.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
248.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
248.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
248.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
247.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
247.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
246.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
246.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
244.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
243.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
242.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
241.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
239.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
238.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
238.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
237.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
236.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
234.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
233.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
233.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
233.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
232.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
232.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
232.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
231.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
231.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
231.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
231.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
231.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
230.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
230.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
229.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
228.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
227.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
227.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
226.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
226.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
225.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
225.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
223.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
223.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
223.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
222.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
221.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
221.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
221.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
221.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
220.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
220.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
220.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
219.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
219.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
218.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
218.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
218.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
217.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
216.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
216.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
216.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
216.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
215.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
215.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
215.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
215.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
214.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
214.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
213.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
212.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
212.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
212.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
212.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
211.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
211.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
210.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
210.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
210.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
209.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
209.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
209.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
209.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
208.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
207.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
206.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
205.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
205.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
204.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
204.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
203.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
202.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
202.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
202.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
202.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
202.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
201.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
201.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
200.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
200.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
199.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
199.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
199.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
199.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
198.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
197.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
196.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
196.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
196.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
196.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
195.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
194.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
194.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
193.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
192.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
192.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
192.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
191.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
191.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
190.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
189.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
189.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
189.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
189.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
189.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
189.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
189.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
189.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
188.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
188.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
188.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
187.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
187.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
187.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
186.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
186.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
185.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
185.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
185.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
185.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
184.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
184.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
183.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
183.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
183.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
183.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
182.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
182.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
181.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
181.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
181.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
180.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
180.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
180.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
180.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
179.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
179.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
178.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
177.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
176.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
175.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
175.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
175.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
175.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
175.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
174.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
173.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
173.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
172.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
172.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
172.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
172.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
171.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
171.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
171.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
170.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
170.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
170.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
170.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
169.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
169.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
168.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
167.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
167.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
166.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
166.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
165.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
165.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
165.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
164.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
163.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
163.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
163.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
163.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
163.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
162.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
162.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
161.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
161.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
160.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
160.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
160.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
159.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
159.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
159.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
159.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
159.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
159.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
158.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
158.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
158.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
158.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
158.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
157.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
157.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
157.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
157.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
157.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
156.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
156.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
155.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
154.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
153.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
153.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
153.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
152.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
152.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
152.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
152.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
151.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
151.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
150.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
150.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
149.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
149.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
149.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
149.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
147.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
147.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
146.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
146.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
146.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
145.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
145.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
143.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
143.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
143.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
142.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
142.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
142.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
142.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
140.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
140.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
139.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
139.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
138.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
138.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
138.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
138.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
137.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
137.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
137.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
136.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
136.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
135.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
135.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
135.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
135.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
135.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
134.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
134.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
134.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
134.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
132.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
132.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
131.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
130.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
129.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
129.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
129.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
129.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
128.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
127.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
127.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
126.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
126.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
125.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
125.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
124.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
123.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
123.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
123.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
123.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
123.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
122.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
122.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
120.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
119.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
119.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
119.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
117.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
116.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
116.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
114.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
114.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
113.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
113.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
112.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
111.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
111.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
111.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
110.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
109.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
108.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
108.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
105.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
104.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
103.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
102.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
102.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
101.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
101.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
101.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
100.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
99.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
97.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
97.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
96.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
96.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
93.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
92.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
89.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
88.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
84.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
81.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
78.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
77.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
75.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
74.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
71.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
65.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ZFP36L1 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
116.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
371.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
314.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
244.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
236.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
229.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
227.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
218.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
211.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
206.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
203.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
201.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
200.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
189.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
186.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
183.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
171.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
170.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
170.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
167.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
157.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
150.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
150.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
149.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
148.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
142.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
139.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
138.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
138.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
137.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
134.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
131.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
131.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
130.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
125.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
122.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
118.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
118.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
117.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
112.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
110.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
109.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
109.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
108.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
106.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
104.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
104.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
101.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
95.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
94.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
91.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
90.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
90.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
89.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
85.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
85.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
83.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
82.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
82.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
82.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
78.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
72.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
72.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
71.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
71.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
69.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
67.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
65.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
64.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
64.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
62.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
61.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
61.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
60.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
59.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
59.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
58.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
58.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
57.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
52.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
52.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
47.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
38.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
36.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
32.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
31.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
28.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
15.8
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.
ZFP36L1 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
228.4
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
786.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
541.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
510.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
477.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
448.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
443.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
442.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
424.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
392.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
391.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
384.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
362.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
356.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
356.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
349.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
347.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
340.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
339.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
333.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
331.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
330.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
327.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
327.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
325.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
325.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
324.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
324.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
321.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
318.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
315.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
314.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
312.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
303.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
303.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
302.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
302.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
297.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
296.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
294.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
294.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
292.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
290.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
288.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
288.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
287.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
285.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
285.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
284.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
279.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
279.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
277.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
277.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
276.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
270.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
268.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
267.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
265.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
263.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
262.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
261.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
259.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
256.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
256.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
253.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
253.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
252.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
251.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
251.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
250.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
250.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
249.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
247.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
246.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
245.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
244.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
241.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
241.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
241.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
239.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
239.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
238.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
236.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
236.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
235.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
235.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
234.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
234.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
233.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
232.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
231.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
231.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
230.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
230.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
229.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
229.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
228.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
228.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
227.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
226.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
225.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
224.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
224.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
223.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
220.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
220.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
218.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
217.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
216.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
215.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
214.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
211.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
211.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
210.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
209.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
209.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
206.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
206.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
206.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
205.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
205.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
203.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
202.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
201.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
199.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
193.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
192.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
192.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
189.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
189.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
187.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
187.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
187.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
186.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
186.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
185.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
185.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
184.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
181.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
181.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
181.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
178.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
178.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
177.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
177.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
176.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
174.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
174.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
172.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
171.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
171.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
171.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
170.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
170.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
167.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
167.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
166.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
163.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
163.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
161.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
160.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
160.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
160.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
160.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
158.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
157.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
156.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
152.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
151.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
150.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
149.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
149.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
149.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
146.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
144.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
143.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
142.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
142.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
142.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
142.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
140.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
138.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
137.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
136.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
135.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
133.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
132.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
129.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
129.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
128.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
128.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
126.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
125.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
124.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
120.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
119.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
119.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
116.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
111.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
108.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
107.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
102.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
96.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
91.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
78.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
76.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.6
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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
1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
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Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
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Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
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Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
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Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
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Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.7
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-1.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.4
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.