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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.
ARHGDIB 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
89.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
314.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
300.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
276.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
257.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
253.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
250.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
247.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
243.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
237.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
229.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
217.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
210.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
209.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
203.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
200.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
187.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
186.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
184.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
183.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
180.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
179.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
174.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
170.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
167.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
165.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
162.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
159.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
158.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
157.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
155.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
153.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
149.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
145.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
144.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
144.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
144.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
140.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
137.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
137.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
136.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
135.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
133.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
132.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
132.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
131.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
130.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
130.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
130.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
128.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
127.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
123.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
122.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
122.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
122.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
121.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
120.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
120.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
119.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
118.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
118.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
117.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
113.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
113.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
112.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
112.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
111.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
111.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
110.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
109.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
108.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
108.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
107.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
107.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
107.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
106.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
106.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
106.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
105.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
105.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
102.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
102.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
102.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
102.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
99.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
95.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
95.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
94.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
93.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
93.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
93.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
93.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
92.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
92.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
90.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
90.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
90.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
90.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
89.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
89.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
89.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
88.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
88.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
88.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
88.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
87.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
87.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
87.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
87.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
86.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
85.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
85.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
84.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
84.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
84.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
83.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
83.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
83.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
83.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
83.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
82.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
82.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
81.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
81.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
80.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
79.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
79.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
79.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
78.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
78.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
78.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
77.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
76.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
75.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
75.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
74.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
74.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
74.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
73.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
72.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
71.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
71.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
71.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
71.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
70.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
70.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
69.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
69.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
69.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
68.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
67.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
66.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
66.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
66.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
65.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
65.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
65.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
64.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
64.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
64.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
64.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
64.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
63.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
63.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
63.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
62.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
60.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
60.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
60.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
59.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
59.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
58.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
58.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
58.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
58.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
58.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
57.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
57.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
57.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
56.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
56.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
54.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
53.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
53.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
53.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
53.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
52.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
51.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
50.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
49.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
49.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
49.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
48.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
48.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
47.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
47.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
47.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
47.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
47.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
46.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
45.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
44.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
43.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
43.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
43.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
43.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
43.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
42.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
42.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
41.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
41.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
40.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
39.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
39.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
39.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
37.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
37.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
36.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
35.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
34.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
34.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
32.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
32.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
32.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
30.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
29.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
29.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
29.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
29.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
26.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
26.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
25.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
25.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
25.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
23.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
20.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
19.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
19.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
19.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
18.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
17.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
17.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
17.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
16.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
14.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
14.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
12.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
12.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 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.
ARHGDIB 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
135.8
Number of samples
486
Samples
Sample
Description
TPM
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
508.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
374.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
346.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
342.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
330.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
326.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
304.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
293.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
284.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
284.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
284.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
281.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
268.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
258.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
252.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
251.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
250.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
249.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
249.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
246.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
245.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
243.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
241.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
233.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
225.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
223.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
223.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
223.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
222.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
221.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
221.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
220.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
219.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
216.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
215.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
213.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
212.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
211.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
209.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
208.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
208.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
208.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
207.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
207.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
205.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
204.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
204.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
203.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
203.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
203.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
202.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
201.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
201.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
199.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
199.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
199.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
198.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
198.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
197.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
197.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
197.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
196.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
196.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
193.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
193.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
192.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
192.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
191.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
191.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
191.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
190.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
189.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
189.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
189.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
188.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
187.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
184.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
182.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
181.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
180.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
180.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
178.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
178.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
177.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
176.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
176.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
175.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
175.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
175.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
174.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
174.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
173.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
173.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
173.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
173.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
173.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
172.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
171.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
170.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
170.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
170.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
169.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
168.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
168.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
168.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
168.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
167.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
167.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
166.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
165.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
165.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
164.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
163.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
163.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
163.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
163.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
162.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
162.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
162.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
162.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
161.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
161.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
161.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
161.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
160.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
160.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
159.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
159.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
159.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
159.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
159.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
158.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
158.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
158.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
158.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
158.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
157.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
157.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
157.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
157.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
157.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
157.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
157.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
156.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
156.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
156.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
156.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
156.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
156.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
155.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
155.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
155.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
155.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
155.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
155.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
154.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
154.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
153.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
153.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
152.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
152.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
151.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
151.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
151.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
151.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
150.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
150.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
150.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
150.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
150.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
149.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
149.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
149.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
148.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
148.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
148.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
148.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
148.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
147.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
147.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
146.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
145.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
145.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
145.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
145.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
145.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
144.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
144.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
144.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
144.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
144.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
143.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
143.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
142.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
142.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
142.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
142.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
141.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
140.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
140.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
140.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
139.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
139.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
139.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
139.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
139.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
139.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
138.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
138.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
138.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
138.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
138.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
137.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
137.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
136.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
136.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
136.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
136.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
136.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
135.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
135.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
135.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
134.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
134.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
134.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
132.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
132.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
131.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
131.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
131.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
130.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
130.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
130.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
129.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
129.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
129.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
129.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
129.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
129.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
129.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
128.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
128.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
127.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
127.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
127.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
127.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
126.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
126.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
126.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
126.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
126.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
125.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
125.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
125.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
124.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
124.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
124.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
124.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
124.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
124.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
124.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
124.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
123.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
123.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
122.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
122.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
122.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
121.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
121.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
121.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
120.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
120.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
120.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
120.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
120.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
119.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
119.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
119.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
119.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
119.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
118.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
118.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
118.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
118.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
117.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
117.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
117.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
117.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
117.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
117.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
117.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
116.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
116.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
116.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
116.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
116.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
116.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
115.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
115.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
115.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
115.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
115.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
115.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
115.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
115.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
114.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
114.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
114.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
114.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
114.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
112.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
112.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
112.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
112.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
111.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
111.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
111.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
111.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
110.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
110.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
110.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
110.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
110.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
110.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
110.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
109.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
109.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
109.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
109.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
108.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
107.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
107.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
107.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
106.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
106.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
106.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
106.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
105.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
105.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
105.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
105.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
105.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
104.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
104.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
104.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
104.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
103.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
103.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
103.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
102.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
102.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
101.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
101.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
100.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
100.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
100.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
99.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
99.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
99.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
99.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
99.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
99.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
99.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
98.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
98.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
98.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
98.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
97.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
97.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
96.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
96.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
95.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
95.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
95.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
94.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
94.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
93.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
93.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
93.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
93.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
93.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
92.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
92.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
92.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
91.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
90.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
90.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
90.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
89.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
89.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
88.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
88.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
88.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
87.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
87.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
87.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
87.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
86.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
86.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
86.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
86.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
86.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
85.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
85.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
85.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
85.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
84.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
84.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
84.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
84.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
84.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
83.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
83.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
82.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
82.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
82.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
82.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
82.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
82.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
82.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
82.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
81.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
81.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
81.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
81.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
80.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
80.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
79.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
79.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
79.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
78.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
78.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
77.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
76.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
75.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
75.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
75.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
75.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
74.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
74.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
74.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
73.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
72.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
71.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
71.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
69.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
69.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
69.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
68.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
68.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
68.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
66.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
66.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
66.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
65.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
65.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
64.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
64.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
64.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
62.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
62.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
62.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
62.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
61.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
61.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
59.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
58.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
57.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
56.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
55.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
54.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
54.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
52.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
50.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
49.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
47.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
43.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
41.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
34.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
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.
ARHGDIB 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
84.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
258.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
246.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
192.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
191.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
176.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
171.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
167.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
160.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
149.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
146.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
145.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
124.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
123.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
123.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
122.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
121.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
121.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
120.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
118.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
114.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
114.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
110.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
109.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
106.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
106.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
106.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
102.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
96.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
94.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
93.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
92.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
92.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
91.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
88.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
87.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
85.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
84.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
83.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
83.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
81.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
77.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
77.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
76.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
76.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
73.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
73.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
72.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
71.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
68.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
67.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
67.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
64.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
64.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
64.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
62.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
61.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
60.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
60.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
60.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
57.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
56.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
52.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
51.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
50.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
49.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
47.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
46.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
46.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
45.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
42.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
39.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
38.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
37.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
37.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
36.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
35.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
35.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
34.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
33.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
32.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
31.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
29.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
28.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
27.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
24.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
ARHGDIB 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
129.4
Number of samples
207
Samples
Sample
Description
TPM
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
355.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
298.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
275.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
273.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
270.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
264.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
239.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
234.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
234.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
234.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
229.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
219.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
218.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
218.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
217.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
216.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
213.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
211.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
208.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
203.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
202.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
198.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
193.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
188.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
187.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
183.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
183.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
183.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
182.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
181.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
179.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
178.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
177.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
176.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
175.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
173.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
172.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
172.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
171.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
170.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
169.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
169.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
167.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
166.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
162.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
160.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
160.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
159.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
159.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
159.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
158.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
158.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
157.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
156.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
156.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
155.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
155.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
155.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
152.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
151.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
151.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
151.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
150.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
149.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
149.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
147.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
147.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
147.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
146.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
144.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
142.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
142.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
140.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
140.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
139.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
139.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
139.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
137.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
136.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
135.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
133.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
133.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
132.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
132.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
131.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
130.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
130.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
129.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
129.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
129.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
128.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
127.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
127.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
126.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
126.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
125.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
124.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
123.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
123.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
122.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
122.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
121.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
121.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
120.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
120.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
119.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
119.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
118.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
118.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
118.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
117.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
117.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
116.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
116.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
116.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
114.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
114.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
113.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
113.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
113.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
112.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
111.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
111.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
110.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
110.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
110.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
109.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
108.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
108.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
107.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
106.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
105.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
104.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
103.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
102.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
102.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
101.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
101.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
100.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
99.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
99.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
99.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
99.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
97.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
96.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
95.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
95.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
95.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
95.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
95.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
92.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
92.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
91.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
90.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
90.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
90.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
90.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
89.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
89.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
89.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
89.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
88.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
87.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
87.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
87.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
87.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
86.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
86.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
85.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
84.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
83.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
83.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
82.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
82.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
82.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
79.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
78.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
76.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
76.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
75.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
74.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
74.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
73.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
72.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
72.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
72.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
70.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
69.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
69.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
69.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
68.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
67.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
66.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
64.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
64.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
63.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
61.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
61.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
56.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
55.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
55.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
51.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
49.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
41.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
32.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
1.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.1
b2400046-1d25-429d-a821-6040a6
Tumor
1.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
1.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
0.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.9
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.9
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.9
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.8
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.7
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.8
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.8
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.8
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.9
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-1.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-1.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-1.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-2.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
