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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TRAPPC1 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
112.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
223.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
215.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
188.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
182.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
177.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
174.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
172.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
170.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
167.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
166.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
166.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
165.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
164.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
163.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
162.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
160.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
160.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
159.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
159.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
159.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
158.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
157.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
156.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
155.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
153.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
152.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
152.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
152.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
151.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
150.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
149.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
149.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
149.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
148.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
146.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
146.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
146.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
145.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
145.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
145.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
144.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
141.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
141.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
140.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
139.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
139.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
139.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
138.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
138.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
138.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
137.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
136.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
136.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
136.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
136.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
135.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
135.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
135.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
135.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
135.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
134.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
133.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
133.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
133.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
133.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
132.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
132.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
131.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
131.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
131.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
131.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
131.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
131.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
130.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
129.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
129.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
129.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
129.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
129.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
129.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
128.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
128.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
128.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
127.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
126.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
126.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
126.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
124.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
124.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
123.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
123.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
123.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
123.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
122.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
122.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
122.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
122.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
122.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
121.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
121.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
121.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
121.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
121.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
121.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
120.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
120.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
118.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
118.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
118.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
118.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
117.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
117.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
117.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
117.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
116.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
116.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
116.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
115.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
114.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
114.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
113.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
113.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
113.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
112.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
111.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
111.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
110.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
109.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
109.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
109.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
109.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
108.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
108.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
107.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
107.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
107.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
107.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
106.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
106.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
105.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
105.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
105.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
105.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
105.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
105.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
105.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
104.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
104.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
104.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
103.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
103.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
103.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
103.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
102.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
102.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
102.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
102.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
101.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
101.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
100.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
99.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
99.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
98.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
98.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
98.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
98.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
98.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
97.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
97.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
97.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
96.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
96.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
96.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
95.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
95.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
95.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
95.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
95.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
94.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
93.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
93.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
93.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
93.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
92.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
92.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
92.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
92.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
91.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
91.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
91.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
91.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
90.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
90.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
90.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
89.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
89.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
88.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
88.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
87.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
87.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
87.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
86.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
86.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
85.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
85.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
83.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
83.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
82.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
82.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
82.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
82.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
81.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
81.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
81.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
81.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
81.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
80.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
80.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
79.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
79.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
79.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
76.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
75.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
75.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
75.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
75.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
74.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
74.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
73.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
72.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
70.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
70.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
69.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
69.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
69.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
67.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
67.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
67.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
67.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
65.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
65.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
65.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
62.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
62.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
61.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
57.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
51.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
49.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
47.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
37.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
33.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
20.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TRAPPC1 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
67.5
Number of samples
486
Samples
Sample
Description
TPM
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
147.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
122.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
116.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
116.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
114.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
112.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
101.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
100.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
99.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
98.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
97.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
97.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
97.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
96.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
96.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
96.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
95.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
95.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
94.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
93.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
93.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
93.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
92.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
92.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
92.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
92.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
92.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
92.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
92.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
91.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
91.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
91.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
91.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
91.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
90.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
90.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
90.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
90.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
90.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
90.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
89.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
89.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
88.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
88.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
88.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
87.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
87.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
87.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
87.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
87.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
87.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
87.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
87.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
87.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
87.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
86.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
86.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
86.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
86.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
86.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
86.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
86.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
86.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
86.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
85.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
85.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
85.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
85.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
85.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
85.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
85.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
84.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
84.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
84.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
84.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
84.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
84.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
84.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
83.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
83.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
82.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
82.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
82.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
82.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
82.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
82.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
82.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
82.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
82.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
81.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
81.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
81.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
81.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
81.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
81.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
81.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
81.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
81.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
81.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
80.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
80.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
80.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
80.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
80.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
80.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
80.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
80.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
79.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
79.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
79.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
79.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
79.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
79.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
79.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
79.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
78.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
78.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
78.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
78.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
78.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
78.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
78.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
77.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
77.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
77.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
77.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
77.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
77.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
77.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
76.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
76.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
76.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
76.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
76.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
76.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
76.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
76.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
76.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
76.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
76.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
76.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
76.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
76.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
76.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
76.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
76.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
75.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
75.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
75.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
75.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
75.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
75.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
75.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
75.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
75.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
75.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
74.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
74.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
74.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
74.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
74.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
74.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
74.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
74.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
73.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
73.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
73.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
73.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
73.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
73.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
73.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
73.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
73.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
73.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
73.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
73.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
73.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
73.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
72.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
72.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
72.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
72.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
72.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
72.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
72.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
72.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
72.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
71.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
71.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
71.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
71.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
71.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
71.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
71.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
71.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
71.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
70.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
70.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
70.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
70.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
70.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
70.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
70.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
70.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
70.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
70.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
70.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
70.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
70.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
69.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
69.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
69.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
69.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
69.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
69.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
69.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
69.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
69.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
69.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
69.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
69.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
69.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
69.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
69.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
68.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
68.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
68.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
68.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
68.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
68.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
68.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
68.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
68.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
68.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
68.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
68.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
68.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
68.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
68.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
68.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
68.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
67.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
67.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
67.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
67.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
67.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
67.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
67.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
66.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
66.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
66.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
66.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
66.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
65.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
65.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
65.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
65.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
65.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
65.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
65.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
65.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
65.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
64.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
64.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
64.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
64.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
64.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
64.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
64.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
64.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
64.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
64.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
64.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
64.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
63.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
63.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
63.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
63.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
63.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
63.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
63.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
63.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
63.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
63.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
63.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
63.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
63.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
63.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
62.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
62.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
62.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
62.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
62.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
62.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
62.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
62.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
62.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
62.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
62.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
62.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
62.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
62.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
62.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
61.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
61.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
61.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
61.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
61.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
61.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
61.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
61.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
60.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
60.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
60.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
60.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
60.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
60.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
60.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
60.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
59.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
59.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
59.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
59.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
59.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
59.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
59.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
59.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
59.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
58.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
58.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
58.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
58.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
58.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
58.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
58.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
58.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
58.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
58.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
58.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
57.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
57.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
57.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
57.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
57.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
57.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
56.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
56.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
56.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
56.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
56.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
56.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
56.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
56.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
56.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
56.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
55.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
55.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
55.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
55.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
55.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
54.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
54.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
53.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
53.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
53.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
53.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
53.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
52.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
52.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
52.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
52.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
52.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
52.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
52.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
52.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
52.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
52.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
51.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
51.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
51.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
51.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
51.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
51.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
50.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
50.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
50.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
50.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
50.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
50.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
49.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
49.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
49.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
49.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
49.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
49.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
49.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
49.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
49.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
48.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
48.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
47.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
47.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
47.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
47.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
46.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
46.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
46.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
46.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
46.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
46.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
45.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
45.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
45.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
45.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
45.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
44.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
44.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
44.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
44.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
44.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
44.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
44.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
44.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
43.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
42.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
41.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
41.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
40.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
40.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
40.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
39.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
39.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
37.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
31.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
31.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
30.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TRAPPC1 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
107.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
212.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
204.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
175.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
172.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
170.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
170.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
163.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
162.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
155.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
153.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
151.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
150.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
148.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
147.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
145.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
144.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
139.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
137.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
136.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
131.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
127.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
126.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
126.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
125.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
125.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
125.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
124.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
124.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
124.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
116.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
116.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
116.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
115.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
114.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
112.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
109.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
109.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
108.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
106.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
106.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
104.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
103.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
103.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
101.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
100.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
99.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
98.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
98.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
96.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
95.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
95.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
94.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
94.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
92.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
91.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
90.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
89.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
89.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
89.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
88.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
88.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
87.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
86.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
86.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
85.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
85.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
83.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
82.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
81.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
80.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
78.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
77.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
77.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
76.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
75.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
75.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
73.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
73.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
71.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
69.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
68.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
67.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
63.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
51.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
51.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
47.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
47.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TRAPPC1 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
58.9
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
162.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
126.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
106.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
104.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
100.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
94.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
92.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
91.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
91.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
86.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
86.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
85.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
84.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
83.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
82.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
82.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
82.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
81.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
81.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
80.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
80.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
79.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
78.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
78.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
77.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
77.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
77.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
75.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
75.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
75.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
75.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
75.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
74.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
74.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
74.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
74.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
73.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
73.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
73.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
72.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
72.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
72.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
72.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
71.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
70.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
70.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
70.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
70.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
68.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
68.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
68.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
67.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
67.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
67.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
66.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
66.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
65.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
65.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
65.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
65.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
65.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
65.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
64.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
64.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
64.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
63.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
63.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
63.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
63.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
63.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
63.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
62.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
62.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
62.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
62.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
62.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
62.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
62.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
61.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
61.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
61.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
61.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
60.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
60.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
60.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
60.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
60.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
59.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
59.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
59.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
58.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
58.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
58.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
58.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
57.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
57.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
57.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
57.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
57.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
57.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
56.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
56.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
56.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
56.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
56.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
55.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
55.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
55.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
55.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
55.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
55.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
55.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
54.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
54.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
54.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
54.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
54.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
54.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
54.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
54.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
53.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
53.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
53.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
53.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
52.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
52.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
52.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
51.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
51.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
51.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
51.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
51.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
50.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
49.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
49.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
48.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
48.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
48.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
48.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
47.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
47.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
47.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
47.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
46.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
46.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
46.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
46.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
46.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
46.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
45.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
45.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
44.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
44.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
44.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
44.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
43.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
43.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
42.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
40.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
39.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
39.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
39.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
39.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
39.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
38.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
38.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
37.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
35.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
34.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
33.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
32.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
32.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
28.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.9
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
