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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.
SUMF2 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
100.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
239.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
237.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
219.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
215.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
214.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
199.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
195.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
179.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
177.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
175.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
172.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
164.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
161.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
160.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
159.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
156.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
155.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
154.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
153.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
151.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
151.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
150.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
148.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
146.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
146.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
146.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
144.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
143.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
142.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
141.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
140.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
139.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
139.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
138.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
137.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
137.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
135.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
134.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
134.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
131.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
131.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
131.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
131.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
130.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
130.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
129.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
129.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
128.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
126.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
126.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
125.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
124.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
124.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
123.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
122.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
122.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
121.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
121.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
121.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
120.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
120.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
119.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
119.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
119.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
118.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
118.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
118.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
117.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
116.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
116.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
116.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
116.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
115.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
114.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
113.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
112.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
111.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
111.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
110.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
109.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
109.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
109.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
109.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
108.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
108.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
107.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
107.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
107.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
107.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
106.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
106.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
106.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
106.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
106.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
105.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
105.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
105.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
104.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
104.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
104.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
103.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
103.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
103.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
102.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
102.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
102.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
102.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
102.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
102.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
101.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
100.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
100.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
100.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
100.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
99.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
99.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
98.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
98.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
98.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
98.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
97.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
97.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
97.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
97.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
96.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
96.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
96.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
95.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
95.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
95.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
95.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
94.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
94.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
94.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
93.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
93.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
93.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
92.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
92.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
92.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
91.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
91.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
91.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
91.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
90.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
90.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
90.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
89.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
89.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
89.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
88.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
88.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
87.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
87.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
86.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
86.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
85.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
84.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
84.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
84.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
84.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
83.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
83.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
83.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
82.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
82.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
82.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
82.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
82.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
81.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
81.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
81.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
81.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
81.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
80.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
80.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
80.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
80.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
79.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
79.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
78.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
78.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
78.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
78.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
77.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
77.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
77.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
77.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
77.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
76.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
76.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
76.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
76.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
76.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
75.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
75.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
75.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
75.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
74.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
74.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
74.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
73.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
73.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
73.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
72.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
71.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
71.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
70.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
69.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
69.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
68.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
68.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
68.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
68.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
67.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
65.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
63.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
63.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
63.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
62.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
62.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
62.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
61.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
61.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
61.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
61.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
59.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
59.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
58.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
58.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
57.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
57.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
57.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
56.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
56.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
56.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
52.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
50.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
49.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
47.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
47.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
46.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
45.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
44.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
44.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
44.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
42.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
38.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
32.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
29.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 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.
SUMF2 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
70.2
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
293.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
191.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
183.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
168.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
153.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
153.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
149.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
147.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
145.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
144.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
143.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
139.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
131.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
131.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
130.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
128.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
126.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
126.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
125.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
122.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
122.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
122.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
120.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
118.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
118.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
117.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
115.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
114.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
114.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
114.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
113.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
113.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
113.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
112.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
111.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
111.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
110.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
110.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
109.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
109.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
109.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
108.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
107.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
105.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
105.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
105.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
105.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
104.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
102.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
102.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
102.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
101.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
101.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
100.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
98.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
97.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
97.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
97.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
97.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
96.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
95.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
95.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
95.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
94.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
94.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
93.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
93.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
92.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
92.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
92.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
92.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
92.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
91.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
91.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
91.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
90.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
90.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
90.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
90.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
90.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
90.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
90.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
89.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
89.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
89.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
88.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
88.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
87.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
87.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
87.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
86.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
86.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
86.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
86.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
86.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
85.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
85.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
85.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
85.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
85.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
84.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
84.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
84.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
84.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
83.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
83.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
83.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
83.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
82.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
82.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
82.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
82.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
82.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
82.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
82.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
82.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
82.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
81.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
81.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
81.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
81.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
81.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
81.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
81.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
81.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
81.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
80.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
80.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
80.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
80.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
80.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
80.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
79.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
79.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
79.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
79.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
79.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
78.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
78.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
78.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
78.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
78.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
78.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
78.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
78.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
78.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
77.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
77.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
77.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
77.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
77.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
77.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
77.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
77.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
76.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
76.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
76.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
75.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
75.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
75.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
75.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
75.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
75.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
75.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
74.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
74.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
74.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
74.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
74.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
74.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
74.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
74.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
74.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
73.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
73.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
73.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
73.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
73.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
73.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
72.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
72.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
72.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
72.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
72.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
72.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
72.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
72.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
71.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
71.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
71.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
71.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
70.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
70.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
70.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
70.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
70.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
70.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
70.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
70.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
69.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
69.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
69.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
69.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
69.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
69.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
69.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
69.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
69.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
69.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
68.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
68.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
68.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
68.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
68.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
68.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
68.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
68.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
68.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
68.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
68.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
68.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
68.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
68.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
67.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
67.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
67.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
67.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
67.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
67.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
67.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
66.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
66.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
66.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
66.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
66.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
66.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
65.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
65.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
65.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
65.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
65.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
65.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
65.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
65.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
65.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
64.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
64.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
64.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
64.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
64.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
64.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
64.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
64.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
63.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
63.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
63.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
63.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
63.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
63.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
63.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
63.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
62.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
62.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
61.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
61.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
61.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
61.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
61.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
61.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
61.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
61.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
61.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
61.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
60.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
60.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
60.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
60.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
59.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
59.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
59.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
59.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
59.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
59.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
59.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
59.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
59.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
59.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
59.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
59.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
59.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
59.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
59.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
59.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
59.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
59.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
58.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
58.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
58.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
58.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
57.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
57.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
57.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
57.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
57.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
57.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
57.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
57.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
57.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
57.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
57.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
56.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
56.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
56.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
56.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
56.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
56.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
56.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
56.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
56.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
55.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
55.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
55.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
55.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
55.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
55.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
55.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
54.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
54.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
54.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
54.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
54.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
54.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
54.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
54.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
54.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
54.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
54.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
53.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
53.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
53.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
53.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
53.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
53.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
53.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
53.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
53.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
53.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
52.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
52.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
52.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
52.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
52.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
52.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
52.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
51.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
51.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
51.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
50.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
50.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
50.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
50.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
50.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
50.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
50.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
50.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
50.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
49.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
49.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
49.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
49.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
49.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
49.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
49.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
48.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
48.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
48.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
48.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
48.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
48.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
48.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
48.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
48.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
48.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
47.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
47.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
47.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
47.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
47.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
46.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
46.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
46.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
46.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
46.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
45.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
45.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
45.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
45.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
44.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
44.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
44.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
44.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
44.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
44.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
43.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
43.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
42.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
42.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
41.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
41.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
41.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
40.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
40.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
40.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
39.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
39.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
39.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
39.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
38.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
37.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
37.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
36.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
36.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
36.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
36.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
32.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
32.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
32.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
30.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
29.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
28.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
28.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
25.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
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.
SUMF2 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
97.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
200.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
197.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
187.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
180.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
179.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
174.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
169.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
163.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
153.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
142.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
140.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
138.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
134.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
128.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
128.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
126.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
123.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
119.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
118.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
115.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
115.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
113.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
110.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
110.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
110.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
109.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
108.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
108.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
107.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
107.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
105.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
101.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
101.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
99.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
99.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
98.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
98.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
97.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
97.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
97.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
95.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
94.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
93.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
92.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
92.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
92.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
91.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
91.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
88.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
88.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
87.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
87.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
87.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
86.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
85.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
84.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
84.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
81.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
80.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
80.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
79.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
78.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
76.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
75.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
74.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
74.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
73.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
72.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
72.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
71.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
71.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
70.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
70.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
68.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
64.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
63.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
61.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
60.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
59.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
59.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
57.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
56.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
53.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
53.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
53.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SUMF2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
63.3
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
161.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
159.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
145.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
142.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
137.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
134.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
121.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
113.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
110.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
109.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
108.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
103.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
103.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
102.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
94.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
92.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
91.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
91.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
90.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
89.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
89.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
88.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
88.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
88.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
87.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
87.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
85.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
85.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
85.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
84.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
83.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
83.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
83.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
82.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
81.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
81.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
81.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
81.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
80.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
80.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
80.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
80.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
80.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
79.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
79.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
78.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
77.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
77.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
77.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
76.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
76.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
76.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
75.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
74.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
74.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
73.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
73.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
73.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
73.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
72.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
72.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
72.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
72.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
72.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
72.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
72.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
72.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
71.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
71.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
69.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
69.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
69.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
69.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
69.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
68.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
68.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
68.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
68.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
68.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
67.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
67.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
67.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
67.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
66.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
65.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
65.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
65.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
65.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
65.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
64.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
64.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
64.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
63.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
63.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
63.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
62.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
62.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
62.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
62.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
61.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
61.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
61.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
61.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
60.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
60.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
60.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
59.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
59.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
59.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
59.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
59.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
59.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
57.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
56.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
56.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
56.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
55.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
55.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
55.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
55.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
55.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
54.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
54.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
53.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
53.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
52.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
51.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
51.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
50.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
49.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
49.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
49.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
49.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
49.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
48.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
47.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
47.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
47.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
46.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
46.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
46.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
46.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
46.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
46.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
45.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
45.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
45.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
44.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
44.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
43.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
43.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
43.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
43.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
42.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
41.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
41.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
41.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
39.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
39.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
39.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
38.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
37.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
36.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
35.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
34.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
32.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
29.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
27.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
24.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.7
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-2.0
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
