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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.
PSMB6 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
131.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
340.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
264.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
261.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
254.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
253.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
251.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
247.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
240.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
238.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
229.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
228.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
218.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
213.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
212.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
210.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
206.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
204.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
201.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
200.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
199.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
197.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
196.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
191.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
189.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
188.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
187.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
184.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
183.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
182.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
181.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
180.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
176.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
175.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
173.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
173.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
173.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
172.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
171.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
171.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
170.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
169.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
167.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
166.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
166.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
165.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
165.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
163.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
163.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
162.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
162.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
162.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
160.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
159.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
159.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
158.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
158.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
158.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
157.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
155.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
154.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
153.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
153.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
152.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
150.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
149.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
149.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
149.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
149.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
147.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
146.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
146.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
146.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
146.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
145.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
145.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
145.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
145.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
144.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
144.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
142.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
141.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
140.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
140.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
140.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
140.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
140.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
138.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
138.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
138.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
137.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
137.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
137.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
137.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
137.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
136.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
136.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
136.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
135.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
135.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
134.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
134.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
134.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
134.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
134.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
133.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
133.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
133.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
133.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
133.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
132.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
132.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
132.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
131.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
131.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
131.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
131.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
129.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
128.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
128.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
128.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
127.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
127.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
125.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
125.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
125.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
124.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
124.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
124.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
123.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
123.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
123.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
123.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
121.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
121.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
120.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
120.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
120.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
120.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
120.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
118.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
118.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
118.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
118.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
118.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
117.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
116.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
116.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
116.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
115.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
115.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
114.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
114.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
114.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
114.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
113.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
113.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
112.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
112.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
112.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
112.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
111.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
110.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
110.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
110.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
110.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
110.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
109.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
108.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
108.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
108.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
108.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
108.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
108.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
107.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
107.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
106.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
106.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
106.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
105.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
105.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
105.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
104.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
103.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
103.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
103.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
102.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
102.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
102.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
101.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
101.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
101.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
100.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
100.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
100.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
99.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
99.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
99.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
99.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
99.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
99.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
99.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
98.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
97.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
97.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
96.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
96.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
96.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
96.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
95.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
94.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
94.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
93.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
93.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
93.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
92.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
91.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
90.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
90.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
90.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
89.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
89.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
89.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
88.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
88.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
87.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
86.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
86.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
86.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
85.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
84.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
84.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
84.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
83.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
83.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
83.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
83.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
83.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
82.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
80.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
78.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
78.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
76.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
75.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
73.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
72.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
72.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
69.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
68.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
67.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
66.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
66.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
65.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
64.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 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.
PSMB6 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
62.7
Number of samples
486
Samples
Sample
Description
TPM
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
139.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
127.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
120.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
118.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
115.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
115.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
114.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
114.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
113.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
111.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
109.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
109.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
108.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
107.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
106.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
105.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
105.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
105.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
104.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
104.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
102.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
101.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
100.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
100.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
99.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
99.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
98.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
97.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
97.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
96.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
96.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
96.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
96.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
96.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
95.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
95.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
95.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
95.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
95.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
93.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
93.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
93.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
91.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
91.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
91.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
91.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
91.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
90.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
90.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
90.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
90.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
90.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
89.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
89.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
89.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
89.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
89.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
88.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
88.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
88.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
88.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
87.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
87.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
87.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
87.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
87.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
86.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
86.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
86.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
85.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
85.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
83.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
83.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
83.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
83.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
83.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
83.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
82.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
82.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
82.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
82.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
82.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
82.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
81.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
81.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
81.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
80.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
80.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
79.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
79.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
79.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
79.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
79.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
78.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
78.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
78.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
78.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
77.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
77.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
77.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
77.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
77.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
77.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
76.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
76.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
76.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
76.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
76.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
76.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
76.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
76.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
76.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
75.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
75.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
75.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
75.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
75.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
75.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
74.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
74.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
74.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
74.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
74.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
73.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
73.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
73.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
73.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
73.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
73.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
73.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
73.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
73.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
73.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
72.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
72.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
72.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
72.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
72.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
72.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
72.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
72.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
72.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
72.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
71.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
71.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
71.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
71.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
71.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
71.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
71.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
71.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
71.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
71.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
70.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
70.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
70.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
70.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
70.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
70.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
70.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
69.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
69.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
69.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
69.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
69.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
69.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
69.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
69.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
69.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
69.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
68.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
68.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
68.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
68.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
68.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
67.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
67.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
67.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
67.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
67.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
67.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
67.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
67.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
66.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
66.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
66.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
65.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
65.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
65.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
65.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
65.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
65.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
65.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
65.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
65.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
65.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
64.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
64.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
64.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
64.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
64.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
64.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
64.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
64.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
64.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
64.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
63.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
63.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
63.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
63.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
63.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
63.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
63.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
62.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
62.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
62.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
62.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
62.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
62.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
61.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
61.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
61.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
61.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
61.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
60.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
60.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
60.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
60.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
60.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
60.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
60.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
59.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
59.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
59.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
59.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
59.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
59.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
59.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
59.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
59.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
59.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
59.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
59.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
59.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
58.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
58.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
58.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
58.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
58.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
58.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
58.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
58.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
58.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
57.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
57.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
57.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
57.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
57.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
57.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
57.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
56.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
56.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
56.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
56.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
56.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
56.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
56.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
56.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
56.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
56.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
56.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
56.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
56.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
56.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
56.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
56.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
56.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
56.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
56.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
55.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
55.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
55.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
55.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
55.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
55.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
55.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
54.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
54.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
54.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
54.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
54.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
54.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
54.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
54.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
54.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
54.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
54.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
54.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
54.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
53.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
53.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
53.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
53.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
52.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
52.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
52.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
51.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
51.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
51.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
51.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
51.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
51.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
51.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
51.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
50.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
50.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
50.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
50.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
49.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
49.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
49.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
49.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
49.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
49.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
49.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
49.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
49.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
48.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
48.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
48.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
48.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
48.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
48.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
48.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
48.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
48.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
48.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
48.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
48.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
47.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
47.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
47.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
47.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
47.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
47.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
46.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
46.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
46.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
46.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
46.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
46.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
46.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
45.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
45.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
45.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
44.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
44.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
44.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
44.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
43.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
43.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
43.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
43.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
43.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
43.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
43.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
42.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
42.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
42.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
42.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
42.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
42.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
42.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
42.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
41.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
41.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
41.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
40.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
40.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
40.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
40.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
40.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
40.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
39.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
39.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
39.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
38.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
38.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
38.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
37.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
37.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
37.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
36.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
36.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
36.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
36.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
35.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
35.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
34.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
31.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
31.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
30.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
28.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
27.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
25.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
25.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
25.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
25.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
24.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
PSMB6 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
115.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
266.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
202.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
186.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
173.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
169.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
168.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
167.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
166.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
165.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
157.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
155.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
153.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
150.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
148.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
148.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
144.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
142.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
142.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
142.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
141.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
138.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
138.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
134.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
134.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
134.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
130.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
124.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
123.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
123.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
122.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
121.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
121.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
119.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
119.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
118.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
118.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
117.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
116.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
115.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
115.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
115.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
113.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
111.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
111.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
110.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
109.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
107.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
106.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
106.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
106.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
105.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
104.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
102.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
102.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
101.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
101.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
101.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
98.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
98.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
98.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
97.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
97.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
95.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
94.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
94.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
93.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
92.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
91.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
90.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
88.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
87.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
85.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
84.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
83.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
82.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
81.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
76.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
76.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
73.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
73.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
71.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
70.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
67.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
66.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
65.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
57.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
55.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 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.
PSMB6 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
49.4
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
124.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
108.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
101.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
94.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
85.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
84.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
82.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
82.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
81.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
80.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
80.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
77.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
77.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
77.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
76.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
72.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
72.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
71.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
71.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
70.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
69.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
68.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
67.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
67.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
67.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
66.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
65.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
65.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
65.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
65.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
64.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
64.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
63.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
62.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
61.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
61.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
61.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
61.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
61.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
59.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
59.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
58.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
57.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
57.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
57.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
57.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
56.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
56.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
56.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
56.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
56.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
56.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
55.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
55.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
55.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
55.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
55.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
54.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
54.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
54.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
53.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
53.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
53.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
53.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
53.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
52.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
52.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
52.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
52.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
51.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
51.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
51.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
51.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
51.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
50.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
50.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
50.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
49.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
49.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
49.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
48.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
48.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
48.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
48.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
48.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
48.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
47.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
47.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
47.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
47.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
46.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
46.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
46.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
46.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
46.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
45.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
45.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
45.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
45.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
45.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
44.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
44.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
44.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
44.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
44.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
43.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
43.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
43.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
43.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
43.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
43.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
42.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
42.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
42.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
42.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
42.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
42.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
42.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
42.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
40.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
40.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
40.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
40.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
39.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
39.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
38.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
37.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
37.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
36.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
35.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
35.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
35.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
34.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
34.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
34.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
33.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
33.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
32.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
32.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
31.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
30.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
28.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
19.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
18.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.6
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.