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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.
PSMB10 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
139.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
459.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
431.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
400.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
399.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
330.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
313.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
307.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
287.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
282.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
281.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
278.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
277.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
276.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
269.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
266.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
260.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
256.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
252.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
252.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
248.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
246.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
243.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
241.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
235.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
233.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
231.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
231.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
221.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
217.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
215.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
214.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
213.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
213.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
213.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
212.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
211.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
208.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
205.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
204.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
202.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
202.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
201.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
201.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
198.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
197.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
195.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
192.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
191.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
187.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
187.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
187.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
185.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
184.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
183.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
182.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
182.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
175.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
175.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
175.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
173.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
172.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
171.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
171.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
170.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
169.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
167.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
167.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
166.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
165.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
164.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
162.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
162.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
162.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
160.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
159.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
157.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
157.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
155.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
153.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
153.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
153.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
152.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
151.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
150.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
150.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
150.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
150.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
149.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
146.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
145.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
144.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
143.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
142.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
142.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
141.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
141.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
140.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
140.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
140.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
139.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
139.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
138.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
138.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
137.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
137.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
136.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
136.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
135.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
135.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
134.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
132.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
131.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
131.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
130.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
129.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
128.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
128.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
128.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
127.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
127.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
126.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
125.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
125.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
124.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
124.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
123.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
122.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
122.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
121.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
121.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
120.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
119.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
119.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
118.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
118.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
118.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
117.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
116.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
115.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
115.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
115.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
115.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
114.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
114.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
114.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
114.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
113.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
113.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
113.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
112.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
112.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
112.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
111.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
110.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
110.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
109.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
109.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
107.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
107.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
106.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
106.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
105.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
105.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
105.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
103.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
103.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
102.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
102.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
101.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
101.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
101.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
101.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
99.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
99.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
99.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
99.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
98.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
97.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
97.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
96.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
96.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
96.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
95.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
94.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
94.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
94.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
93.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
93.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
92.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
92.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
91.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
91.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
90.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
89.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
89.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
89.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
89.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
89.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
88.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
88.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
88.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
88.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
87.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
86.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
86.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
86.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
86.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
85.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
85.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
84.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
83.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
82.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
81.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
81.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
81.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
81.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
80.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
79.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
79.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
76.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
76.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
76.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
75.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
75.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
74.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
73.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
72.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
72.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
70.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
69.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
68.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
67.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
66.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
66.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
66.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
65.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
65.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
61.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
58.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
58.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
58.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
55.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
53.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
52.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
51.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
50.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
50.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
48.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
48.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
46.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
45.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
43.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
PSMB10 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
56.7
Number of samples
486
Samples
Sample
Description
TPM
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
179.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
174.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
173.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
173.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
169.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
153.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
151.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
141.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
140.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
138.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
130.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
128.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
128.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
127.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
126.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
125.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
120.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
119.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
118.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
118.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
115.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
114.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
111.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
111.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
110.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
109.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
109.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
108.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
107.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
106.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
105.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
104.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
104.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
103.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
102.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
102.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
100.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
100.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
99.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
99.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
97.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
97.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
95.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
95.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
95.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
94.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
94.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
94.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
92.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
92.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
92.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
91.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
91.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
91.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
90.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
89.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
89.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
88.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
88.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
86.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
85.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
85.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
84.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
84.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
84.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
83.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
83.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
83.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
82.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
80.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
79.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
79.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
79.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
79.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
79.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
79.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
79.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
78.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
78.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
78.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
78.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
78.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
78.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
78.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
78.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
77.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
77.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
77.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
76.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
76.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
76.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
76.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
76.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
75.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
74.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
74.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
73.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
72.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
72.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
72.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
71.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
71.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
71.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
71.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
70.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
70.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
70.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
70.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
70.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
70.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
70.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
70.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
69.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
68.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
68.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
68.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
68.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
67.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
67.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
66.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
66.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
66.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
66.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
65.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
65.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
65.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
65.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
65.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
64.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
64.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
64.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
64.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
64.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
64.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
64.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
63.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
63.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
63.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
63.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
62.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
62.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
62.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
62.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
62.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
62.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
62.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
61.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
61.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
61.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
61.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
61.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
61.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
61.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
60.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
60.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
60.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
60.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
59.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
59.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
59.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
59.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
59.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
59.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
59.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
59.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
58.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
58.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
58.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
58.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
58.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
58.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
57.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
57.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
57.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
57.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
57.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
57.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
56.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
56.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
56.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
56.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
56.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
56.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
56.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
56.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
55.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
55.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
55.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
55.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
55.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
55.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
55.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
55.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
54.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
54.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
54.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
54.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
53.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
53.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
53.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
53.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
53.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
52.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
52.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
52.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
52.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
52.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
52.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
51.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
51.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
51.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
51.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
51.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
51.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
51.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
51.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
51.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
50.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
50.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
50.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
50.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
49.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
49.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
49.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
49.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
49.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
49.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
49.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
49.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
49.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
48.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
48.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
48.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
48.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
48.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
47.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
47.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
47.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
47.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
47.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
47.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
47.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
47.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
47.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
47.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
46.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
46.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
46.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
46.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
46.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
45.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
45.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
45.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
45.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
45.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
45.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
44.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
44.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
44.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
44.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
44.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
44.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
44.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
44.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
44.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
44.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
44.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
44.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
44.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
43.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
43.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
43.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
43.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
43.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
43.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
43.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
43.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
43.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
43.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
43.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
43.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
43.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
43.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
42.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
42.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
42.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
42.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
42.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
42.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
42.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
42.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
42.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
41.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
41.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
41.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
40.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
40.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
40.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
40.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
40.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
39.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
39.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
39.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
39.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
39.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
38.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
38.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
37.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
37.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
37.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
37.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
37.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
37.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
37.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
37.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
37.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
36.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
36.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
36.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
36.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
36.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
36.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
36.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
36.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
35.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
35.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
35.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
35.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
35.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
35.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
35.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
35.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
35.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
35.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
34.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
34.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
33.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
33.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
33.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
33.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
33.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
33.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
33.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
32.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
32.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
32.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
32.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
32.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
32.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
32.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
31.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
31.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
31.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
31.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
31.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
30.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
30.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
30.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
29.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
29.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
28.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
28.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
28.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
28.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
28.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
28.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
28.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
27.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
27.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
27.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
27.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
26.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
26.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
26.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
25.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
24.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
24.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
24.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
23.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
23.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
23.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
21.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
20.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
20.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
20.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
19.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
18.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
18.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
18.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
16.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
14.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
3.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.0
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.
PSMB10 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
111.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
258.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
253.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
212.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
209.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
205.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
198.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
184.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
171.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
169.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
163.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
162.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
159.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
153.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
152.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
152.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
152.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
150.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
147.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
145.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
143.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
140.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
136.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
130.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
130.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
128.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
127.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
127.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
126.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
125.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
124.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
123.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
120.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
120.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
120.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
119.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
119.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
117.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
117.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
115.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
115.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
114.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
113.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
111.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
107.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
106.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
104.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
104.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
104.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
103.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
102.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
101.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
96.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
92.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
91.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
88.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
87.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
87.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
87.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
86.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
86.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
85.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
85.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
84.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
80.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
80.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
79.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
78.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
77.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
75.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
75.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
75.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
73.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
72.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
71.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
63.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
61.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
61.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
58.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
55.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
54.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
54.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
52.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
49.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
43.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
38.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
38.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 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.
PSMB10 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
43.9
Number of samples
207
Samples
Sample
Description
TPM
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
127.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
123.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
108.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
105.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
101.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
95.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
93.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
87.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
83.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
82.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
76.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
75.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
73.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
71.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
71.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
69.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
69.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
68.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
68.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
66.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
65.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
65.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
65.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
64.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
63.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
63.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
61.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
61.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
61.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
61.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
61.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
58.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
58.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
57.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
56.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
55.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
55.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
55.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
54.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
54.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
54.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
54.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
54.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
53.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
52.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
52.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
52.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
51.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
51.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
51.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
50.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
50.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
50.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
50.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
50.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
49.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
49.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
49.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
48.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
48.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
48.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
48.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
48.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
47.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
46.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
46.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
46.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
46.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
45.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
45.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
45.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
45.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
45.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
43.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
43.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
43.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
43.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
43.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
42.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
42.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
41.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
41.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
41.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
40.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
40.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
40.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
40.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
40.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
39.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
39.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
39.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
38.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
38.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
38.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
37.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
37.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
37.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
37.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
36.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
36.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
36.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
36.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
36.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
35.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
35.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
35.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
34.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
34.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
33.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
33.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
32.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
31.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
31.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
31.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
30.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
30.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
30.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
29.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
29.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
29.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
29.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
28.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
28.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
28.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
28.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
28.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
27.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
27.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
26.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
26.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
26.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
25.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
25.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
24.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
24.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
24.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
24.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
23.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
23.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
23.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
23.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
23.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
23.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
22.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
22.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
21.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
21.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
20.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
20.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
20.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
20.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
19.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
19.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
18.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
18.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
15.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
15.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.9
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.2
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.