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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.
RARRES2 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
85.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
482.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
382.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
345.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
334.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
325.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
302.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
302.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
298.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
274.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
270.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
264.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
257.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
254.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
244.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
234.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
221.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
221.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
217.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
214.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
210.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
209.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
208.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
207.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
200.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
198.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
195.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
192.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
187.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
185.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
181.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
178.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
162.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
158.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
157.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
154.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
151.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
149.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
148.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
147.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
146.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
138.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
136.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
136.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
136.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
135.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
135.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
134.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
134.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
133.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
131.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
128.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
127.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
125.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
120.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
120.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
119.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
118.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
117.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
113.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
112.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
112.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
112.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
110.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
109.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
108.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
108.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
107.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
103.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
102.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
99.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
98.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
97.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
95.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
95.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
94.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
94.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
92.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
92.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
91.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
89.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
89.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
87.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
87.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
87.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
87.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
86.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
85.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
85.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
85.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
84.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
84.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
84.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
82.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
80.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
79.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
79.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
78.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
78.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
77.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
77.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
76.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
76.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
75.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
75.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
75.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
75.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
74.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
74.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
73.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
73.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
73.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
71.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
71.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
70.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
70.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
70.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
70.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
68.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
68.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
66.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
66.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
66.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
65.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
64.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
64.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
63.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
63.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
62.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
62.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
62.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
61.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
61.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
60.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
59.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
58.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
58.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
57.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
56.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
56.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
56.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
55.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
54.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
54.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
54.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
53.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
52.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
52.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
52.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
51.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
51.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
51.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
50.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
49.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
49.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
49.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
48.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
48.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
47.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
46.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
45.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
45.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
45.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
45.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
44.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
44.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
43.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
43.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
43.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
42.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
41.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
41.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
41.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
41.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
41.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
40.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
40.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
39.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
39.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
39.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
37.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
37.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
36.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
36.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
35.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
35.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
35.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
35.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
34.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
34.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
33.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
33.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
33.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
33.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
33.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
32.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
32.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
31.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
31.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
31.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
31.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
30.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
29.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
29.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
29.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
28.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
28.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
27.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
26.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
25.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
25.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
24.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
24.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
24.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
23.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
23.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
22.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
22.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
22.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
21.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
20.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
20.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
19.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
17.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
17.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
17.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
16.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
16.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
16.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
15.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
13.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
13.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
13.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
13.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
12.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
11.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
11.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
11.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
8.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
7.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
7.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
7.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
RARRES2 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
59.5
Number of samples
486
Samples
Sample
Description
TPM
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
344.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
218.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
203.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
193.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
181.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
168.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
161.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
160.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
154.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
149.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
146.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
146.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
145.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
145.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
137.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
135.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
134.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
134.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
131.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
125.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
124.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
117.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
117.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
116.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
116.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
116.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
115.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
113.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
113.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
112.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
111.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
110.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
108.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
108.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
108.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
108.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
108.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
107.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
106.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
105.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
105.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
105.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
105.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
105.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
102.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
102.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
102.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
102.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
102.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
98.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
98.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
97.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
97.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
96.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
96.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
95.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
94.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
93.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
93.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
93.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
92.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
92.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
91.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
91.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
90.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
90.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
90.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
90.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
90.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
90.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
89.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
89.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
88.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
88.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
87.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
86.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
86.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
86.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
86.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
86.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
85.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
85.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
85.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
85.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
84.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
84.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
83.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
83.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
83.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
83.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
83.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
82.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
82.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
82.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
82.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
82.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
81.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
81.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
80.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
80.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
80.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
80.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
80.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
80.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
79.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
78.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
78.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
78.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
78.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
78.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
78.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
78.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
78.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
77.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
77.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
77.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
77.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
77.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
76.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
76.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
76.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
76.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
75.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
75.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
75.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
74.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
74.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
74.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
74.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
73.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
73.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
73.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
72.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
72.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
72.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
72.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
72.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
71.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
71.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
71.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
71.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
71.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
70.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
70.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
69.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
69.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
69.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
69.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
69.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
69.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
69.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
68.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
68.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
68.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
68.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
68.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
68.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
67.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
67.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
67.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
67.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
67.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
66.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
66.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
66.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
66.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
65.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
65.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
64.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
64.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
64.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
63.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
63.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
63.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
63.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
63.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
63.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
63.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
62.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
62.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
62.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
62.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
62.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
62.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
62.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
62.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
61.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
61.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
61.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
60.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
60.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
60.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
60.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
60.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
60.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
59.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
59.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
59.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
59.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
59.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
59.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
59.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
59.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
59.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
58.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
58.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
58.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
58.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
58.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
58.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
58.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
58.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
58.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
58.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
57.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
57.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
57.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
57.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
57.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
57.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
57.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
57.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
57.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
56.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
56.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
56.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
56.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
55.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
55.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
54.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
54.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
54.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
52.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
52.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
52.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
52.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
52.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
52.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
51.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
51.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
51.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
51.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
50.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
50.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
50.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
50.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
50.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
50.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
50.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
50.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
49.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
49.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
49.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
49.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
49.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
49.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
48.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
48.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
48.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
47.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
47.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
47.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
47.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
47.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
47.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
47.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
46.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
46.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
46.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
46.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
46.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
46.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
46.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
46.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
45.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
45.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
44.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
44.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
44.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
44.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
44.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
44.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
43.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
43.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
43.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
43.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
43.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
43.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
42.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
42.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
42.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
41.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
41.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
41.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
41.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
41.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
40.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
40.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
40.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
40.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
40.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
40.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
39.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
39.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
39.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
39.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
39.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
39.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
39.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
38.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
38.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
38.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
38.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
38.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
37.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
36.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
36.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
35.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
35.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
35.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
35.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
35.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
35.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
34.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
34.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
34.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
34.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
33.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
33.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
33.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
33.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
33.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
33.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
32.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
32.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
32.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
32.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
32.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
32.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
32.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
31.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
31.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
31.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
31.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
31.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
31.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
31.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
30.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
30.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
30.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
29.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
29.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
29.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
29.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
29.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
28.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
28.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
28.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
28.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
28.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
28.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
28.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
28.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
27.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
27.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
27.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
27.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
27.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
27.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
27.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
26.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
26.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
26.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
25.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
25.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
25.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
25.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
25.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
25.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
25.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
25.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
24.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
24.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
23.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
23.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
23.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
23.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
23.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
23.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
23.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
23.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
23.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
22.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
22.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
22.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
22.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
21.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
21.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
21.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
21.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
20.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
19.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
19.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
19.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
19.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
18.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
18.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
18.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
17.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
17.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
17.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
17.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
16.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
16.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
16.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
15.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
15.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
14.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
14.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
14.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
13.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
13.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
11.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
11.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
5.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
4.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
3.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RARRES2 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
85.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
434.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
382.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
233.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
225.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
214.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
197.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
169.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
165.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
153.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
152.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
143.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
140.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
140.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
136.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
131.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
130.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
127.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
122.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
118.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
115.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
113.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
112.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
107.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
105.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
102.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
102.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
102.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
101.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
101.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
100.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
92.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
88.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
86.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
85.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
84.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
83.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
83.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
81.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
79.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
79.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
69.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
67.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
67.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
65.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
64.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
64.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
60.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
59.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
59.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
58.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
57.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
53.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
53.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
50.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
50.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
49.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
48.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
48.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
46.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
46.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
45.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
45.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
42.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
41.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
39.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
36.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
36.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
36.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
36.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
34.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
34.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
32.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
31.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
31.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
30.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
29.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
29.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
27.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
26.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
25.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
25.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
21.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
20.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
20.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
17.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
RARRES2 is potential prognostic, high expression is favorable 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
59.0
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
343.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
227.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
182.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
167.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
165.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
161.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
159.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
152.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
149.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
148.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
140.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
139.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
138.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
135.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
133.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
132.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
128.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
127.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
127.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
126.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
117.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
114.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
111.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
107.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
106.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
102.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
101.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
99.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
97.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
97.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
96.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
95.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
90.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
90.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
87.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
85.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
84.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
84.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
83.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
83.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
83.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
80.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
79.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
78.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
78.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
77.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
75.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
73.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
72.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
72.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
71.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
70.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
70.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
69.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
67.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
66.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
66.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
66.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
64.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
64.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
63.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
63.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
63.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
62.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
62.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
61.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
61.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
61.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
60.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
59.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
59.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
59.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
58.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
57.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
57.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
57.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
56.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
56.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
55.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
55.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
55.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
55.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
55.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
54.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
54.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
54.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
53.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
53.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
52.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
52.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
52.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
51.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
50.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
50.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
50.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
49.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
48.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
48.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
47.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
47.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
46.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
45.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
44.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
44.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
43.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
42.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
42.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
41.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
40.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
40.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
39.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
39.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
39.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
38.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
38.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
38.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
37.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
36.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
35.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
35.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
35.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
35.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
34.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
34.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
34.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
33.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
33.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
33.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
32.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
32.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
31.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
30.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
30.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
30.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
29.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
29.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
29.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
28.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
28.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
27.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
27.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
26.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
26.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
25.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
25.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
25.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
24.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
24.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
23.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
23.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
22.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
22.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
21.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
20.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
19.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
19.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
19.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
19.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
18.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
17.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
16.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
16.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
15.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
15.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
14.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
14.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
14.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
13.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
13.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
12.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
12.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
7.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
4.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
4.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
1.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.9
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.7
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-1.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.1
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.
The Human Protein Atlas project is funded
