We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
PSMA3 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
122.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
238.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
236.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
227.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
226.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
226.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
217.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
207.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
206.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
205.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
204.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
199.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
197.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
196.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
196.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
195.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
193.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
192.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
191.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
191.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
188.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
186.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
186.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
179.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
178.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
177.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
174.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
174.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
172.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
170.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
169.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
169.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
168.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
168.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
166.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
165.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
165.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
164.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
163.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
158.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
158.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
156.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
155.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
154.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
153.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
152.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
151.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
151.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
151.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
150.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
150.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
150.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
149.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
149.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
148.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
147.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
147.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
147.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
146.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
146.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
145.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
145.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
145.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
144.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
144.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
143.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
143.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
143.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
143.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
143.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
143.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
142.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
142.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
141.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
141.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
141.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
141.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
141.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
140.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
140.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
140.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
139.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
138.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
136.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
136.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
136.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
135.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
135.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
135.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
132.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
132.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
131.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
131.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
130.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
130.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
130.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
129.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
129.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
128.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
127.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
126.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
126.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
125.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
125.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
125.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
125.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
124.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
124.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
123.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
123.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
123.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
123.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
123.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
123.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
123.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
123.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
122.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
122.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
122.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
121.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
121.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
121.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
120.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
120.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
119.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
119.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
118.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
118.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
118.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
118.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
118.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
118.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
118.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
117.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
117.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
117.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
116.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
116.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
116.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
116.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
115.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
115.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
115.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
115.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
113.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
113.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
113.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
113.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
111.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
110.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
109.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
109.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
109.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
108.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
108.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
108.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
108.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
107.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
107.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
107.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
106.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
106.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
106.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
105.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
105.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
103.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
103.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
103.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
102.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
102.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
102.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
102.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
101.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
101.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
100.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
100.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
99.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
99.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
99.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
99.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
98.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
98.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
97.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
96.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
96.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
96.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
96.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
95.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
94.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
94.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
93.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
92.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
92.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
92.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
92.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
92.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
91.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
91.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
91.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
90.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
90.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
90.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
89.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
89.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
88.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
87.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
87.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
85.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
85.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
85.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
84.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
84.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
84.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
84.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
84.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
83.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
83.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
82.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
82.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
81.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
81.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
81.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
80.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
80.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
79.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
79.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
78.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
78.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
78.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
77.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
77.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
77.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
77.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
75.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
75.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
74.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
74.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
74.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
73.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
73.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
73.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
72.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
70.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
70.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
67.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
65.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
63.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
63.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
61.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
58.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
56.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
53.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
47.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
46.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 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.
PSMA3 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
65.5
Number of samples
486
Samples
Sample
Description
TPM
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
236.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
162.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
159.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
148.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
138.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
134.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
132.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
128.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
121.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
120.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
118.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
118.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
117.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
115.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
113.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
112.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
111.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
111.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
110.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
109.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
109.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
108.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
107.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
107.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
105.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
105.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
105.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
102.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
101.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
101.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
100.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
100.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
98.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
98.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
98.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
97.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
97.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
97.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
96.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
96.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
96.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
95.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
94.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
94.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
94.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
93.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
93.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
92.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
91.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
91.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
91.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
91.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
90.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
90.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
90.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
89.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
89.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
89.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
89.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
89.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
88.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
88.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
88.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
88.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
88.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
88.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
87.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
87.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
87.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
86.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
86.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
86.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
86.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
86.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
86.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
86.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
86.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
86.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
85.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
85.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
85.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
85.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
85.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
85.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
84.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
84.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
84.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
84.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
84.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
84.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
83.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
83.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
83.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
83.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
83.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
83.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
83.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
83.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
83.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
82.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
81.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
81.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
81.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
81.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
81.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
81.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
81.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
81.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
80.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
80.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
80.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
80.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
79.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
79.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
79.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
79.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
79.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
79.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
78.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
78.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
78.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
78.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
78.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
78.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
78.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
78.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
78.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
77.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
76.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
76.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
76.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
76.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
76.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
75.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
75.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
75.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
75.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
74.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
74.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
74.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
74.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
74.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
74.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
73.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
73.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
73.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
73.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
73.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
73.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
73.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
73.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
73.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
72.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
72.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
72.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
72.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
71.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
71.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
71.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
71.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
71.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
71.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
71.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
70.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
70.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
70.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
70.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
70.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
70.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
70.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
70.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
70.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
69.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
69.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
69.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
69.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
69.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
69.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
69.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
69.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
69.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
68.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
68.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
68.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
68.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
68.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
67.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
67.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
67.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
67.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
67.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
67.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
67.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
67.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
67.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
66.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
66.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
66.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
66.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
66.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
66.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
65.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
65.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
65.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
65.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
65.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
64.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
64.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
64.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
64.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
64.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
64.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
64.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
64.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
63.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
63.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
63.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
63.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
63.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
63.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
63.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
63.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
63.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
63.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
62.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
62.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
62.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
62.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
62.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
62.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
62.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
62.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
62.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
61.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
61.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
61.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
61.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
61.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
61.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
61.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
61.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
60.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
60.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
60.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
60.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
60.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
60.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
60.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
60.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
60.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
60.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
60.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
60.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
60.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
60.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
59.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
59.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
59.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
59.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
59.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
59.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
59.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
59.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
59.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
59.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
59.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
59.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
59.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
59.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
59.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
58.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
58.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
58.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
58.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
58.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
58.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
58.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
58.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
58.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
57.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
57.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
57.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
57.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
57.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
57.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
57.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
57.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
57.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
56.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
56.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
56.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
56.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
56.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
56.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
56.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
56.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
56.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
56.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
55.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
55.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
55.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
54.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
54.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
54.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
54.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
54.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
54.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
54.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
54.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
54.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
54.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
54.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
54.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
54.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
53.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
53.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
53.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
53.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
53.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
53.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
53.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
53.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
53.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
53.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
53.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
53.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
53.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
52.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
52.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
52.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
52.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
52.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
52.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
52.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
51.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
51.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
51.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
51.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
50.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
50.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
50.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
50.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
50.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
50.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
50.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
50.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
50.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
49.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
49.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
49.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
49.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
49.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
49.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
49.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
49.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
49.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
48.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
48.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
48.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
48.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
48.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
48.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
48.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
48.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
47.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
47.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
47.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
47.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
47.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
47.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
47.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
47.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
47.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
46.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
46.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
46.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
46.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
46.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
46.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
46.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
45.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
45.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
45.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
45.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
45.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
45.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
45.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
45.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
45.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
44.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
43.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
43.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
43.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
43.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
42.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
42.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
42.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
42.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
41.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
41.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
41.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
40.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
40.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
40.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
39.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
39.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
39.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
39.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
39.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
39.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
38.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
38.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
37.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
37.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
37.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
36.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
36.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
35.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
35.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
35.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
35.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
34.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
34.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
34.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
33.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
33.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
32.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
30.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
28.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
28.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
27.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
25.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
24.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
15.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PSMA3 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
124.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
266.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
227.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
202.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
187.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
182.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
182.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
177.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
174.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
172.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
171.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
168.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
166.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
164.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
164.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
158.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
158.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
153.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
152.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
148.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
146.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
146.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
145.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
145.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
143.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
142.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
142.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
141.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
138.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
136.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
135.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
134.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
134.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
133.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
131.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
130.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
128.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
128.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
124.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
122.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
121.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
120.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
119.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
119.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
116.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
116.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
116.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
114.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
113.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
113.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
112.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
112.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
111.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
111.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
109.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
109.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
109.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
107.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
107.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
106.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
106.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
105.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
105.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
104.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
103.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
102.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
102.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
98.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
97.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
97.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
95.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
93.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
92.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
91.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
90.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
89.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
86.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
85.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
84.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
84.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
82.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
81.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
78.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
77.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
73.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
72.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
67.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
62.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 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.
PSMA3 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
57.1
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
136.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
120.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
118.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
112.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
110.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
102.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
101.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
95.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
93.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
89.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
89.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
88.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
88.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
87.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
86.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
86.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
86.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
85.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
85.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
84.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
83.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
83.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
83.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
81.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
80.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
78.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
78.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
76.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
76.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
76.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
75.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
73.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
73.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
73.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
73.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
72.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
72.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
72.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
71.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
71.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
71.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
71.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
71.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
71.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
70.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
70.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
70.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
70.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
70.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
69.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
69.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
69.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
68.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
68.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
68.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
68.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
67.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
67.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
65.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
65.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
65.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
65.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
64.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
64.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
64.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
64.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
63.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
63.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
63.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
63.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
62.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
62.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
62.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
61.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
61.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
60.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
60.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
59.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
59.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
58.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
58.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
58.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
57.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
57.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
56.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
56.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
56.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
56.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
56.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
56.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
55.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
55.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
54.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
54.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
54.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
54.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
54.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
54.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
54.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
54.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
53.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
53.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
52.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
52.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
52.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
52.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
51.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
51.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
51.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
51.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
50.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
49.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
49.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
48.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
48.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
48.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
47.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
47.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
47.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
47.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
47.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
46.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
46.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
46.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
45.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
44.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
44.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
44.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
44.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
44.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
44.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
44.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
43.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
43.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
43.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
43.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
42.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
41.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
41.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
41.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
41.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
40.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
40.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
40.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
39.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
39.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
39.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
39.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
38.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
38.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
37.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
37.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
37.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
37.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
37.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
34.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
32.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
32.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
31.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
29.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
25.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1.8
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.8
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.