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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.
UBXN1 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
103.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
189.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
185.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
184.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
180.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
159.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
155.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
153.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
153.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
153.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
152.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
151.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
150.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
149.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
148.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
148.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
148.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
145.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
145.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
144.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
144.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
144.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
143.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
143.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
143.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
139.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
139.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
138.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
137.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
137.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
137.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
136.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
136.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
135.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
134.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
134.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
133.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
133.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
131.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
131.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
129.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
129.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
128.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
128.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
126.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
126.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
126.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
125.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
124.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
124.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
123.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
123.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
123.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
122.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
122.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
122.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
121.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
121.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
121.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
120.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
120.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
119.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
119.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
119.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
118.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
117.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
116.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
116.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
116.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
116.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
115.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
115.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
114.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
114.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
114.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
114.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
113.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
113.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
113.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
113.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
113.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
113.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
113.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
113.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
112.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
112.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
112.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
111.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
111.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
111.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
111.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
111.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
110.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
110.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
109.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
109.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
108.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
108.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
108.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
107.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
107.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
107.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
107.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
106.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
106.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
106.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
106.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
105.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
105.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
105.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
105.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
105.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
104.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
104.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
104.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
104.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
103.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
103.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
103.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
103.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
103.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
103.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
103.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
103.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
103.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
103.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
102.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
102.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
102.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
102.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
101.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
101.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
101.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
101.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
101.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
101.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
101.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
100.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
100.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
100.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
100.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
100.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
99.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
99.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
99.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
98.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
98.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
98.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
98.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
97.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
97.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
96.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
96.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
96.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
96.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
96.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
96.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
95.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
95.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
95.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
95.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
94.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
94.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
94.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
93.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
93.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
93.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
93.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
92.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
92.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
92.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
92.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
92.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
91.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
91.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
90.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
90.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
89.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
89.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
89.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
89.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
88.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
88.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
88.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
87.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
87.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
87.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
87.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
87.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
87.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
86.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
86.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
86.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
86.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
86.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
85.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
85.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
85.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
84.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
84.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
84.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
84.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
82.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
81.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
81.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
81.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
81.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
81.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
81.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
81.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
80.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
80.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
80.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
80.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
80.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
80.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
79.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
79.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
79.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
78.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
78.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
78.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
77.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
77.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
77.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
77.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
76.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
74.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
74.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
73.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
73.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
72.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
71.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
70.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
69.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
67.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
67.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
66.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
65.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
64.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
62.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
61.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
61.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
61.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
61.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
60.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
57.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
47.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
46.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
38.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
23.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
UBXN1 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
45.2
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
94.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
79.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
79.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
73.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
70.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
70.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
69.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
68.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
67.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
67.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
67.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
67.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
65.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
65.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
64.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
64.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
64.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
64.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
63.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
63.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
62.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
62.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
62.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
62.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
62.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
61.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
61.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
61.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
61.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
61.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
61.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
61.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
61.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
61.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
60.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
60.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
60.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
59.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
59.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
59.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
59.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
59.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
58.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
58.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
58.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
58.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
58.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
57.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
57.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
57.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
57.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
57.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
57.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
57.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
57.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
57.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
57.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
57.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
57.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
57.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
57.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
56.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
56.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
56.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
56.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
56.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
56.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
56.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
56.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
56.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
56.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
56.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
55.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
55.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
55.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
55.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
55.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
55.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
54.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
54.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
54.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
54.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
54.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
54.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
54.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
54.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
54.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
54.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
54.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
54.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
54.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
53.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
53.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
53.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
53.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
53.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
53.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
53.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
53.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
53.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
53.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
53.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
53.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
53.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
53.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
52.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
52.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
52.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
52.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
52.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
52.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
52.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
52.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
51.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
51.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
51.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
51.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
51.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
51.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
51.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
51.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
50.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
50.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
50.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
50.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
50.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
50.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
50.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
50.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
50.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
50.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
50.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
50.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
49.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
49.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
49.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
49.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
49.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
49.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
49.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
49.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
49.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
49.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
49.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
49.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
49.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
49.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
48.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
48.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
48.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
48.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
48.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
48.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
48.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
48.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
48.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
48.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
48.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
48.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
47.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
47.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
47.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
47.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
47.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
47.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
47.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
47.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
47.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
47.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
47.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
47.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
46.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
46.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
46.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
46.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
46.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
46.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
46.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
46.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
46.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
46.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
46.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
46.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
46.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
46.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
46.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
46.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
46.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
46.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
46.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
46.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
46.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
45.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
45.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
45.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
45.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
45.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
45.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
45.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
45.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
45.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
45.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
45.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
45.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
44.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
44.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
44.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
44.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
44.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
44.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
44.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
44.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
44.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
44.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
44.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
44.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
44.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
44.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
44.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
44.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
44.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
44.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
44.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
43.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
43.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
43.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
43.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
43.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
43.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
43.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
43.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
43.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
43.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
43.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
43.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
43.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
42.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
42.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
42.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
42.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
42.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
42.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
42.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
42.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
42.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
42.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
41.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
41.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
41.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
41.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
41.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
41.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
41.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
41.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
41.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
41.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
41.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
41.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
41.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
41.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
41.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
41.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
41.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
41.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
41.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
41.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
41.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
41.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
41.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
40.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
40.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
40.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
40.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
40.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
40.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
40.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
40.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
40.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
40.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
40.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
40.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
40.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
39.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
39.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
39.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
39.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
39.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
39.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
39.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
39.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
39.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
39.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
39.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
39.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
38.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
38.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
38.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
38.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
38.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
38.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
38.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
37.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
37.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
37.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
37.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
37.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
37.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
37.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
36.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
36.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
36.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
36.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
36.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
36.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
35.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
35.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
35.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
35.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
35.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
35.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
35.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
34.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
34.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
34.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
34.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
34.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
34.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
34.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
34.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
33.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
33.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
33.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
33.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
33.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
33.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
33.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
33.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
33.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
33.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
33.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
32.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
32.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
32.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
32.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
32.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
32.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
31.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
31.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
31.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
31.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
30.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
30.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
29.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
29.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
29.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
29.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
29.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
29.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
29.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
28.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
28.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
27.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
27.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
27.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
26.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
26.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
24.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
24.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
23.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
20.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
19.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
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.
UBXN1 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
105.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
183.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
182.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
174.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
168.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
157.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
157.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
152.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
151.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
149.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
148.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
146.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
145.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
145.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
140.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
136.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
135.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
132.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
128.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
127.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
127.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
126.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
126.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
123.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
120.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
118.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
118.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
118.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
118.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
117.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
116.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
116.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
115.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
115.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
113.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
112.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
112.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
110.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
110.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
110.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
107.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
107.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
106.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
105.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
103.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
101.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
100.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
100.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
99.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
99.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
99.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
99.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
99.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
98.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
96.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
95.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
95.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
95.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
94.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
93.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
92.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
91.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
89.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
86.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
84.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
83.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
82.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
82.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
80.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
78.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
77.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
75.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
75.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
74.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
70.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
70.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
67.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
66.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
65.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
65.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
64.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
61.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
59.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
56.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
53.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
52.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
52.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
39.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
UBXN1 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
42.0
Number of samples
207
Samples
Sample
Description
TPM
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
81.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
72.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
72.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
67.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
66.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
65.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
64.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
62.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
62.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
61.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
61.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
59.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
57.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
56.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
56.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
55.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
55.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
55.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
55.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
55.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
54.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
54.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
54.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
53.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
53.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
53.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
53.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
53.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
52.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
52.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
52.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
52.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
51.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
51.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
51.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
51.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
51.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
51.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
50.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
50.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
50.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
49.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
49.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
49.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
49.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
49.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
49.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
48.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
48.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
47.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
47.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
47.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
46.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
46.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
46.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
46.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
46.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
46.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
45.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
45.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
45.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
45.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
45.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
45.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
44.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
44.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
44.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
44.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
44.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
44.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
44.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
43.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
43.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
42.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
42.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
42.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
42.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
42.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
42.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
42.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
41.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
41.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
41.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
41.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
41.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
40.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
40.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
40.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
40.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
40.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
40.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
40.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
39.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
39.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
39.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
39.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
38.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
38.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
38.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
38.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
37.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
37.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
37.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
37.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
37.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
37.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
36.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
36.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
36.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
36.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
35.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
35.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
35.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
35.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
34.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
34.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
34.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
34.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
34.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
34.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
34.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
33.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
32.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
32.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
31.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
31.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
31.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
31.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
31.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
31.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
30.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
30.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
29.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
29.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
29.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
29.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
28.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
28.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
27.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
27.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
26.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
26.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
26.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
26.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
25.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
25.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
24.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
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Normal
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
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Normal
0.3
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Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
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Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
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Normal
0.3
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Tumor
0.2
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Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
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Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
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Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.2
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Tumor
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
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Tumor
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
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
