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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.
COL4A1 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
100.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1113.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
739.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
374.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
348.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
347.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
321.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
278.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
277.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
250.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
230.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
229.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
225.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
223.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
218.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
212.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
211.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
206.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
205.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
200.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
197.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
193.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
193.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
190.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
183.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
176.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
169.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
167.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
166.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
164.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
161.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
161.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
160.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
154.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
154.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
151.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
149.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
149.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
148.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
147.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
146.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
145.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
143.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
141.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
141.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
141.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
140.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
139.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
139.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
138.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
138.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
135.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
134.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
134.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
134.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
133.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
132.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
130.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
128.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
128.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
126.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
124.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
124.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
122.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
120.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
120.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
120.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
119.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
117.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
115.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
115.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
115.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
115.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
115.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
114.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
114.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
113.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
112.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
112.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
112.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
108.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
108.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
107.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
106.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
106.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
106.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
106.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
105.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
105.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
104.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
104.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
104.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
103.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
103.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
102.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
101.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
100.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
100.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
100.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
100.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
98.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
98.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
98.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
98.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
98.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
98.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
95.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
95.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
95.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
94.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
94.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
93.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
93.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
92.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
92.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
91.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
90.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
90.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
88.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
86.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
85.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
85.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
85.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
85.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
85.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
85.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
85.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
85.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
84.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
83.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
83.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
83.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
83.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
82.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
79.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
79.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
79.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
79.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
78.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
77.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
77.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
77.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
77.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
77.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
76.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
76.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
75.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
75.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
73.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
73.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
72.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
72.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
71.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
70.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
69.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
69.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
68.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
68.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
67.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
67.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
65.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
65.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
64.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
64.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
64.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
64.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
64.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
64.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
64.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
64.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
63.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
63.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
62.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
62.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
60.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
60.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
60.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
60.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
59.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
58.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
58.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
58.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
58.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
58.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
57.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
57.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
56.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
56.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
56.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
55.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
54.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
53.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
53.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
53.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
51.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
51.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
50.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
49.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
48.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
48.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
48.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
47.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
47.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
45.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
44.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
42.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
42.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
41.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
41.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
40.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
39.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
37.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
37.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
36.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
36.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
35.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
34.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
34.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
33.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
32.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
32.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
30.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
30.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
30.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
28.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
27.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
25.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
24.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
24.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
23.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
23.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
23.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
22.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
22.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
21.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
20.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
20.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
19.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
19.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
18.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
16.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
16.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
15.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
14.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
14.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
14.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
11.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
8.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 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.
COL4A1 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
147.5
Number of samples
486
Samples
Sample
Description
TPM
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
669.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
644.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
642.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
486.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
470.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
431.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
430.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
395.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
390.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
373.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
362.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
343.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
338.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
335.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
313.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
311.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
311.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
298.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
295.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
290.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
289.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
287.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
278.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
278.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
277.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
268.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
266.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
265.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
264.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
262.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
258.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
256.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
253.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
253.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
250.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
249.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
248.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
246.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
245.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
242.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
241.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
241.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
239.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
238.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
238.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
232.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
232.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
229.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
228.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
228.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
228.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
227.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
227.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
225.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
223.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
219.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
217.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
217.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
215.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
214.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
214.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
214.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
212.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
210.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
210.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
209.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
208.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
208.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
207.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
206.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
205.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
204.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
203.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
203.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
202.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
202.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
202.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
201.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
200.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
198.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
198.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
197.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
196.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
196.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
196.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
195.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
195.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
193.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
193.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
193.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
193.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
193.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
193.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
191.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
190.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
188.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
188.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
187.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
185.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
185.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
185.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
183.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
183.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
182.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
182.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
182.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
182.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
181.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
181.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
181.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
181.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
181.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
180.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
180.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
179.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
178.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
177.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
177.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
177.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
177.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
176.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
175.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
174.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
173.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
173.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
173.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
173.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
173.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
172.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
172.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
171.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
170.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
170.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
170.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
170.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
169.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
168.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
168.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
168.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
168.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
168.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
167.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
166.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
165.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
165.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
164.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
164.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
164.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
163.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
163.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
162.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
161.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
160.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
160.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
159.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
159.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
159.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
158.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
158.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
158.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
158.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
158.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
157.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
157.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
156.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
156.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
155.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
155.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
155.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
155.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
154.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
154.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
154.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
153.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
153.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
153.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
153.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
153.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
152.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
152.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
152.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
151.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
151.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
151.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
151.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
151.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
151.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
151.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
150.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
150.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
150.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
150.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
149.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
149.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
149.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
149.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
149.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
148.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
148.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
148.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
147.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
147.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
146.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
146.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
146.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
145.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
145.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
145.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
145.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
145.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
144.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
144.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
144.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
143.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
143.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
143.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
142.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
142.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
142.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
142.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
141.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
141.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
141.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
140.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
140.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
140.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
140.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
139.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
138.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
138.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
138.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
138.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
137.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
137.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
137.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
137.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
137.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
136.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
136.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
136.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
135.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
135.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
135.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
135.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
135.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
135.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
134.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
134.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
134.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
134.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
134.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
134.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
133.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
133.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
133.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
132.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
132.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
132.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
132.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
132.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
131.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
131.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
131.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
130.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
130.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
130.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
130.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
130.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
130.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
129.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
128.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
128.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
128.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
128.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
127.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
127.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
126.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
126.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
126.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
126.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
125.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
125.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
124.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
124.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
124.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
123.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
123.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
122.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
122.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
122.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
122.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
122.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
121.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
121.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
121.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
120.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
119.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
119.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
119.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
119.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
118.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
118.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
118.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
117.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
117.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
117.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
117.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
117.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
117.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
116.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
116.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
116.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
116.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
115.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
115.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
115.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
115.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
115.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
115.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
115.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
115.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
115.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
114.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
114.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
114.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
112.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
112.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
112.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
111.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
111.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
111.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
110.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
110.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
110.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
110.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
110.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
109.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
109.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
109.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
108.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
107.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
107.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
106.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
106.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
106.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
106.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
106.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
106.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
106.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
105.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
104.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
104.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
104.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
103.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
103.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
103.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
102.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
102.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
102.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
102.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
101.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
101.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
101.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
100.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
100.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
100.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
100.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
99.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
99.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
98.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
98.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
98.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
98.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
97.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
97.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
95.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
95.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
95.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
95.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
95.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
95.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
95.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
94.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
94.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
93.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
93.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
93.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
93.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
93.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
92.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
92.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
91.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
90.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
90.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
90.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
89.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
89.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
89.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
89.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
89.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
89.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
89.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
88.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
88.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
87.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
87.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
86.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
86.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
86.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
86.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
84.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
84.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
84.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
84.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
84.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
82.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
82.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
81.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
81.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
81.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
80.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
80.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
80.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
79.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
79.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
79.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
79.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
79.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
79.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
78.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
78.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
77.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
77.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
76.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
76.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
76.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
75.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
75.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
74.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
74.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
74.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
71.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
71.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
68.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
68.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
66.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
64.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
64.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
64.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
64.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
62.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
62.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
62.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
61.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
61.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
61.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
59.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
59.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
58.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
56.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
56.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
55.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
51.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
50.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
47.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
45.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
45.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
44.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
43.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
42.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
42.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
41.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
39.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
35.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
29.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
28.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
27.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
25.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
23.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
20.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
8.3
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.
COL4A1 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
114.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
705.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
381.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
314.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
275.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
262.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
234.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
226.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
209.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
198.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
193.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
183.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
175.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
171.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
169.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
159.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
158.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
154.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
153.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
149.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
149.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
148.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
147.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
146.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
142.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
141.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
141.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
141.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
141.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
137.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
134.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
133.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
133.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
128.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
120.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
118.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
117.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
115.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
115.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
113.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
112.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
111.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
110.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
101.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
100.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
99.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
98.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
95.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
92.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
90.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
89.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
85.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
79.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
78.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
73.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
73.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
72.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
72.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
72.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
70.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
70.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
69.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
65.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
64.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
61.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
60.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
60.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
60.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
57.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
52.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
49.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
46.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
43.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
42.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
36.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
34.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
34.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
33.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
32.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
32.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
28.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
24.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
23.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
19.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
11.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.4
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.
COL4A1 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
149.9
Number of samples
207
Samples
Sample
Description
TPM
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
573.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
530.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
483.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
470.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
377.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
360.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
348.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
321.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
316.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
301.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
281.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
277.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
274.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
266.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
256.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
256.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
256.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
249.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
243.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
241.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
241.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
239.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
238.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
237.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
236.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
236.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
230.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
226.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
225.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
216.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
212.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
211.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
207.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
207.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
206.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
204.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
202.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
199.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
198.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
196.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
196.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
195.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
195.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
195.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
193.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
192.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
191.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
191.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
187.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
186.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
186.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
185.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
183.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
183.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
182.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
182.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
182.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
181.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
179.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
177.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
177.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
175.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
174.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
172.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
172.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
172.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
172.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
170.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
169.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
168.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
166.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
165.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
163.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
163.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
163.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
163.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
162.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
160.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
159.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
159.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
159.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
158.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
157.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
155.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
154.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
154.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
152.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
150.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
149.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
148.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
148.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
147.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
143.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
143.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
142.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
141.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
140.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
140.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
140.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
138.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
138.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
137.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
136.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
136.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
135.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
135.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
135.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
134.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
132.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
132.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
131.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
131.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
130.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
129.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
128.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
127.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
126.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
126.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
126.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
125.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
125.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
124.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
124.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
124.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
123.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
122.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
121.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
121.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
121.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
121.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
119.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
119.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
117.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
116.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
116.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
116.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
114.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
114.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
113.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
112.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
112.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
108.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
108.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
106.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
106.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
105.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
105.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
101.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
101.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
101.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
101.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
98.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
94.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
94.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
94.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
93.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
93.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
92.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
92.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
91.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
90.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
89.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
89.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
88.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
86.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
85.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
85.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
85.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
84.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
81.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
79.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
78.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
78.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
77.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
77.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
76.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
75.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
74.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
73.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
70.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
69.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
68.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
60.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
60.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
59.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
58.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
55.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
53.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
52.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
52.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
50.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
48.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
47.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
44.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
38.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
32.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
31.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
23.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
15.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
1.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
1.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
1.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
1.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.8
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.8
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.8
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.8
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.6
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.8
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.9
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.9
b2400046-1d25-429d-a821-6040a6
Tumor
-1.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-1.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-1.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-2.2
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
