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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.
DHCR24 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
75.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
252.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
203.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
199.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
195.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
188.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
182.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
169.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
165.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
164.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
156.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
155.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
154.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
153.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
149.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
148.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
147.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
143.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
141.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
137.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
136.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
135.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
135.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
133.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
132.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
126.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
126.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
126.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
124.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
123.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
122.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
120.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
119.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
118.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
118.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
117.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
116.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
116.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
115.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
115.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
114.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
111.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
110.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
110.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
109.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
109.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
108.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
107.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
106.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
106.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
105.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
105.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
104.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
104.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
102.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
102.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
101.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
99.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
98.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
98.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
98.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
98.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
97.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
96.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
95.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
95.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
94.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
94.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
94.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
93.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
93.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
93.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
92.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
92.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
91.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
91.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
91.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
90.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
90.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
89.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
88.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
87.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
87.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
87.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
87.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
86.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
86.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
86.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
86.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
86.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
86.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
83.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
83.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
80.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
80.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
80.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
80.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
80.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
80.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
79.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
79.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
79.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
78.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
78.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
77.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
77.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
76.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
74.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
73.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
73.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
73.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
73.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
73.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
72.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
72.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
72.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
72.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
71.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
71.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
71.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
70.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
70.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
70.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
70.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
70.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
68.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
67.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
67.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
65.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
65.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
65.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
65.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
64.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
64.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
64.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
64.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
64.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
64.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
64.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
63.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
62.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
62.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
62.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
62.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
61.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
61.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
61.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
60.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
60.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
60.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
59.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
59.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
59.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
58.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
58.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
58.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
58.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
57.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
57.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
57.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
57.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
56.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
56.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
56.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
55.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
55.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
54.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
54.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
53.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
52.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
52.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
52.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
52.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
50.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
50.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
50.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
50.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
50.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
50.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
49.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
49.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
49.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
49.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
49.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
49.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
48.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
48.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
48.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
47.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
46.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
46.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
46.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
46.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
45.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
44.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
43.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
43.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
43.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
42.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
42.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
41.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
41.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
41.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
41.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
40.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
40.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
39.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
39.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
38.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
38.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
38.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
37.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
37.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
37.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
37.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
36.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
36.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
36.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
35.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
35.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
35.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
35.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
35.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
34.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
34.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
34.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
33.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
33.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
31.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
31.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
29.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
28.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
28.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
27.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
27.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
27.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
26.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
26.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
26.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
24.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
23.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
23.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
22.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
18.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
17.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
17.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
15.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 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.
DHCR24 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
75.9
Number of samples
486
Samples
Sample
Description
TPM
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
227.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
223.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
205.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
198.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
181.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
174.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
169.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
167.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
160.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
158.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
155.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
152.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
149.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
148.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
148.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
147.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
143.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
141.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
140.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
140.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
138.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
137.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
137.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
136.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
136.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
135.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
133.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
132.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
132.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
130.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
128.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
128.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
128.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
127.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
127.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
125.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
124.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
123.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
122.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
122.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
120.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
119.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
119.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
119.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
119.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
118.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
118.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
118.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
118.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
117.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
117.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
116.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
116.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
115.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
115.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
115.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
114.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
114.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
114.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
113.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
113.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
113.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
113.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
113.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
112.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
111.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
111.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
110.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
110.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
110.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
110.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
109.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
109.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
109.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
109.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
108.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
108.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
107.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
107.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
106.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
105.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
104.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
104.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
104.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
104.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
103.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
103.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
103.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
103.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
103.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
103.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
102.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
102.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
102.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
101.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
101.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
101.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
101.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
101.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
101.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
100.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
100.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
99.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
99.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
99.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
99.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
98.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
98.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
98.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
97.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
97.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
97.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
97.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
97.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
96.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
96.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
96.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
95.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
95.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
95.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
95.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
95.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
95.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
95.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
94.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
94.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
94.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
94.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
94.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
94.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
94.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
94.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
93.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
93.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
93.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
93.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
93.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
93.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
93.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
92.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
92.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
91.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
91.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
91.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
91.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
91.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
91.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
90.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
90.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
90.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
90.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
90.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
90.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
89.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
89.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
89.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
89.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
89.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
89.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
89.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
89.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
88.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
88.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
88.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
88.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
88.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
87.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
86.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
85.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
85.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
85.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
85.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
84.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
84.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
84.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
84.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
83.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
83.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
83.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
83.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
83.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
83.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
82.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
82.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
82.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
82.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
82.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
81.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
81.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
80.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
80.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
80.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
79.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
79.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
78.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
78.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
78.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
78.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
77.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
77.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
77.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
77.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
77.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
77.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
77.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
77.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
76.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
76.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
76.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
76.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
76.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
75.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
75.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
75.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
75.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
75.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
75.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
75.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
74.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
74.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
74.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
74.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
73.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
73.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
73.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
73.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
73.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
73.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
73.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
73.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
73.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
72.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
72.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
72.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
72.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
72.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
72.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
72.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
72.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
72.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
72.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
72.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
71.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
71.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
71.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
71.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
71.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
71.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
70.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
70.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
69.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
69.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
68.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
68.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
68.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
68.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
68.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
68.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
68.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
67.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
67.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
67.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
67.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
66.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
66.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
66.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
66.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
66.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
66.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
65.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
65.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
65.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
65.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
65.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
64.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
64.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
64.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
63.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
63.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
63.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
63.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
63.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
63.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
63.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
63.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
62.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
62.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
62.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
62.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
62.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
62.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
62.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
62.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
61.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
61.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
61.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
61.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
61.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
61.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
61.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
61.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
61.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
61.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
60.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
60.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
60.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
60.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
60.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
60.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
60.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
59.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
59.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
59.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
58.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
58.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
58.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
57.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
57.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
57.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
57.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
57.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
57.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
56.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
56.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
55.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
55.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
55.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
55.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
55.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
54.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
54.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
54.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
53.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
53.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
53.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
53.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
53.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
53.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
53.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
53.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
53.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
53.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
52.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
52.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
52.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
52.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
52.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
52.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
52.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
52.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
52.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
52.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
51.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
51.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
51.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
51.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
50.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
50.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
50.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
49.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
49.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
49.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
49.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
48.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
48.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
48.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
48.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
48.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
48.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
47.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
47.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
47.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
47.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
47.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
47.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
46.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
46.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
46.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
46.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
45.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
45.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
45.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
45.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
45.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
44.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
44.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
44.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
43.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
43.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
43.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
42.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
42.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
41.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
41.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
41.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
41.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
40.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
40.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
40.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
40.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
40.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
39.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
39.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
39.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
39.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
39.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
38.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
38.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
37.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
37.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
37.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
36.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
36.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
36.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
35.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
35.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
34.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
34.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
33.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
31.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
30.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
30.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
30.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
29.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
29.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
28.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
27.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
27.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
26.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
26.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
25.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
23.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
23.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
23.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
23.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
21.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
19.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
19.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
14.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.0
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.
DHCR24 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
69.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
173.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
147.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
147.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
143.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
138.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
132.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
127.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
117.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
111.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
110.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
110.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
109.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
108.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
100.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
99.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
98.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
96.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
95.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
94.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
94.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
92.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
91.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
91.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
90.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
89.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
86.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
85.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
83.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
82.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
80.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
79.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
78.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
78.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
77.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
75.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
73.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
73.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
72.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
71.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
70.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
70.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
69.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
69.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
69.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
66.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
64.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
63.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
62.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
62.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
58.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
58.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
58.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
56.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
56.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
55.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
53.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
52.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
51.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
50.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
49.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
48.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
48.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
47.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
47.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
43.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
42.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
42.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
42.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
41.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
39.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
38.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
36.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
36.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
35.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
35.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
34.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
33.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
32.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
31.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
31.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
28.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
26.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
22.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
17.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 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.
DHCR24 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
61.2
Number of samples
207
Samples
Sample
Description
TPM
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
147.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
146.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
141.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
131.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
129.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
128.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
128.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
123.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
123.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
120.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
118.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
116.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
114.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
113.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
113.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
113.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
111.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
108.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
107.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
106.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
104.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
103.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
103.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
102.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
101.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
99.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
97.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
97.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
95.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
95.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
95.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
95.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
95.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
94.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
93.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
93.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
93.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
90.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
86.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
84.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
84.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
81.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
81.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
80.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
80.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
79.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
79.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
78.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
78.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
77.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
77.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
77.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
76.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
76.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
74.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
74.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
73.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
71.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
71.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
70.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
70.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
70.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
70.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
70.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
70.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
70.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
69.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
69.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
68.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
68.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
68.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
67.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
67.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
66.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
66.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
66.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
65.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
65.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
65.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
64.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
64.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
63.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
63.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
63.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
62.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
62.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
62.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
62.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
61.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
61.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
60.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
60.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
60.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
59.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
59.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
59.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
58.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
58.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
58.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
57.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
56.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
56.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
56.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
55.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
54.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
54.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
54.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
54.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
54.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
54.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
54.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
53.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
53.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
52.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
52.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
51.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
51.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
51.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
51.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
50.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
50.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
50.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
49.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
49.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
48.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
47.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
47.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
46.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
45.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
45.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
45.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
44.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
43.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
42.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
41.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
41.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
40.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
40.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
37.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
35.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
34.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
34.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
34.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
34.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
33.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
31.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
30.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
30.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
30.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
29.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
27.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
27.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
25.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
24.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
23.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
22.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
22.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
22.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
22.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
21.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
21.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
20.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
20.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
20.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
20.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
20.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
17.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
14.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
12.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
10.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
1.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.7
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.8
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.9
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-1.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.8
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
