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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.
SULF2 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
81.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
345.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
254.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
253.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
245.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
239.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
232.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
225.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
205.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
188.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
185.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
181.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
176.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
176.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
173.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
171.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
170.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
167.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
166.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
164.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
162.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
159.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
159.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
156.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
156.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
155.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
148.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
144.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
144.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
143.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
142.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
141.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
141.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
139.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
139.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
138.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
137.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
136.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
131.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
131.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
129.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
127.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
127.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
126.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
125.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
124.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
123.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
121.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
120.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
120.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
119.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
117.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
115.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
115.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
115.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
114.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
114.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
113.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
110.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
109.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
109.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
108.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
106.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
106.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
106.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
105.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
104.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
104.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
103.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
103.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
102.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
101.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
100.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
100.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
100.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
98.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
97.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
96.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
96.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
95.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
94.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
94.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
94.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
93.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
93.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
93.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
91.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
91.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
91.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
91.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
90.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
90.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
90.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
90.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
89.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
88.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
87.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
87.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
87.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
87.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
86.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
86.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
86.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
86.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
85.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
85.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
85.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
84.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
84.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
84.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
83.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
83.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
83.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
78.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
78.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
78.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
77.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
76.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
76.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
76.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
75.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
75.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
75.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
75.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
74.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
74.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
74.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
74.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
73.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
72.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
72.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
71.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
71.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
71.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
70.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
70.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
69.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
68.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
68.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
67.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
66.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
66.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
65.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
65.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
64.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
64.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
63.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
63.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
63.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
63.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
62.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
61.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
61.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
60.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
59.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
58.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
58.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
58.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
57.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
56.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
56.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
55.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
55.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
55.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
53.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
53.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
53.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
52.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
52.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
52.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
52.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
51.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
51.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
51.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
50.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
50.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
49.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
48.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
48.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
48.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
48.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
48.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
47.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
46.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
46.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
45.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
45.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
43.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
43.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
43.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
43.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
42.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
42.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
42.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
40.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
40.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
40.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
40.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
40.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
39.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
39.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
39.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
39.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
39.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
38.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
38.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
37.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
36.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
36.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
36.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
36.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
34.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
34.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
31.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
31.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
31.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
31.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
30.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
29.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
29.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
28.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
28.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
27.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
27.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
26.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
22.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
20.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
20.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
17.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
16.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
15.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
15.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
15.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
14.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
13.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
13.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
12.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
12.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
10.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
9.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
7.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
6.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
4.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 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.
SULF2 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
109.6
Number of samples
486
Samples
Sample
Description
TPM
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
302.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
302.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
282.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
264.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
263.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
256.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
256.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
253.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
250.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
242.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
242.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
237.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
235.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
228.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
226.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
221.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
218.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
216.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
216.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
215.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
214.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
213.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
212.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
212.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
210.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
206.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
206.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
206.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
206.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
204.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
202.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
200.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
198.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
198.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
198.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
195.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
195.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
194.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
194.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
191.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
190.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
189.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
188.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
186.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
186.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
185.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
184.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
184.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
182.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
182.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
181.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
181.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
179.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
178.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
177.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
176.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
176.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
176.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
174.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
172.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
172.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
170.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
170.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
170.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
169.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
168.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
168.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
168.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
167.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
167.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
166.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
163.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
159.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
159.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
159.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
158.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
156.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
156.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
155.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
155.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
155.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
155.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
154.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
154.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
154.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
154.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
153.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
153.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
152.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
152.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
151.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
151.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
150.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
150.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
150.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
149.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
149.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
149.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
149.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
148.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
148.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
148.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
146.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
146.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
146.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
145.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
145.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
144.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
143.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
143.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
143.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
142.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
142.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
141.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
141.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
140.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
140.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
140.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
139.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
139.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
138.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
138.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
138.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
137.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
137.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
137.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
136.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
135.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
134.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
134.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
134.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
133.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
132.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
132.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
131.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
131.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
131.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
130.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
130.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
130.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
130.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
130.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
129.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
129.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
128.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
128.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
128.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
126.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
126.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
126.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
126.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
126.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
125.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
124.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
124.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
123.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
123.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
123.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
123.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
123.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
123.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
122.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
122.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
121.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
120.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
120.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
120.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
120.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
120.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
119.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
119.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
119.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
119.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
119.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
117.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
117.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
116.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
116.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
116.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
115.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
115.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
115.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
115.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
115.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
115.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
114.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
114.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
114.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
114.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
113.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
113.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
113.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
113.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
113.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
113.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
112.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
112.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
112.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
112.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
112.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
111.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
111.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
111.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
111.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
111.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
111.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
110.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
110.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
110.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
109.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
109.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
109.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
109.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
109.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
108.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
108.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
108.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
108.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
108.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
108.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
107.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
107.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
107.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
107.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
107.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
107.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
107.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
107.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
106.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
106.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
106.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
105.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
105.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
105.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
105.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
104.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
104.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
104.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
104.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
104.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
103.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
103.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
103.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
103.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
102.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
102.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
102.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
101.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
101.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
101.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
101.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
100.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
99.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
99.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
99.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
99.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
99.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
98.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
98.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
98.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
97.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
97.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
97.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
97.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
97.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
97.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
96.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
96.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
96.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
96.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
96.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
95.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
95.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
94.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
94.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
94.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
94.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
93.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
93.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
93.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
93.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
93.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
93.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
92.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
92.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
92.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
92.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
92.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
91.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
91.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
91.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
91.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
90.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
89.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
89.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
89.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
89.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
89.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
89.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
89.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
88.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
88.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
88.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
88.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
88.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
88.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
88.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
87.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
87.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
87.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
87.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
87.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
87.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
87.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
86.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
86.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
86.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
85.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
85.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
84.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
84.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
84.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
83.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
83.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
83.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
83.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
83.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
83.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
83.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
83.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
82.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
82.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
82.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
82.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
82.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
81.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
81.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
81.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
80.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
80.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
80.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
80.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
79.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
79.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
79.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
79.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
78.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
76.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
76.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
76.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
76.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
75.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
75.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
75.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
75.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
75.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
75.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
74.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
74.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
74.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
74.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
74.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
73.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
73.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
73.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
73.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
72.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
72.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
72.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
72.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
71.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
71.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
71.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
70.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
70.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
70.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
69.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
69.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
69.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
69.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
69.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
69.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
69.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
69.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
68.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
68.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
67.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
66.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
66.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
65.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
65.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
65.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
64.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
64.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
64.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
63.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
63.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
62.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
62.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
62.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
62.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
62.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
62.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
61.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
59.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
59.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
59.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
58.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
57.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
57.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
57.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
57.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
57.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
57.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
56.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
56.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
56.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
55.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
55.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
54.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
54.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
54.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
54.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
53.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
52.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
52.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
51.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
50.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
50.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
50.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
50.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
49.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
49.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
49.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
49.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
49.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
48.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
47.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
47.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
45.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
45.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
44.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
40.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
40.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
39.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
38.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
38.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
37.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
36.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
36.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
33.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
30.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
30.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
29.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
28.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
28.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
26.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
24.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
24.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
24.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
24.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
24.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
22.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
20.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
19.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
16.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
13.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SULF2 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
86.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
216.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
208.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
197.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
193.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
190.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
181.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
178.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
165.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
164.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
152.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
146.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
138.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
138.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
137.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
135.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
131.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
127.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
122.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
121.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
114.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
114.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
112.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
111.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
104.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
104.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
103.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
102.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
100.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
100.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
99.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
98.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
98.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
96.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
95.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
91.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
90.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
90.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
89.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
89.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
89.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
87.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
79.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
78.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
75.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
74.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
73.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
73.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
71.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
71.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
69.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
68.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
68.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
66.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
65.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
64.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
63.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
63.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
62.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
61.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
61.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
60.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
59.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
58.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
58.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
56.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
56.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
55.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
52.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
50.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
50.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
50.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
47.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
36.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
32.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
31.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
30.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
29.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
27.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
27.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
26.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
26.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
24.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
22.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
22.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
19.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
17.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
7.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SULF2 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
115.6
Number of samples
207
Samples
Sample
Description
TPM
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
344.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
278.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
254.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
254.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
240.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
231.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
224.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
219.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
212.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
212.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
211.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
209.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
206.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
200.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
195.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
194.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
192.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
192.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
191.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
189.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
189.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
186.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
184.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
183.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
181.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
181.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
180.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
178.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
178.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
178.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
176.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
175.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
173.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
172.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
172.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
172.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
170.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
169.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
168.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
168.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
165.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
159.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
157.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
155.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
153.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
152.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
152.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
150.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
149.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
149.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
149.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
148.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
148.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
146.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
146.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
145.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
145.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
145.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
144.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
141.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
140.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
140.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
140.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
139.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
139.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
138.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
138.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
137.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
134.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
133.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
132.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
132.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
132.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
131.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
130.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
130.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
130.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
129.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
129.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
127.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
126.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
125.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
125.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
123.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
122.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
122.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
122.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
121.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
121.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
121.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
121.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
119.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
119.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
118.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
118.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
118.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
117.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
117.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
116.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
115.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
115.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
114.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
114.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
110.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
107.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
107.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
106.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
106.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
106.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
104.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
103.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
102.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
102.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
101.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
101.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
101.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
100.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
96.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
95.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
94.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
93.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
93.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
93.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
93.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
93.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
92.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
92.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
92.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
91.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
91.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
89.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
89.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
88.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
87.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
87.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
86.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
86.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
86.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
85.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
85.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
84.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
83.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
82.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
81.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
81.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
81.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
80.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
79.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
79.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
77.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
76.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
74.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
73.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
72.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
71.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
69.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
69.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
69.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
68.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
68.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
68.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
66.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
66.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
66.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
66.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
65.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
65.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
64.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
63.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
61.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
61.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
61.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
60.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
59.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
59.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
59.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
57.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
57.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
54.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
53.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
53.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
52.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
52.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
51.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
50.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
50.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
50.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
48.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
46.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
46.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
44.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
38.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
37.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
34.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
32.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
30.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
30.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
23.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
15.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
11.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
