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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.
OXA1L 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
60.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
121.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
116.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
108.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
105.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
105.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
103.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
101.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
101.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
101.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
100.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
100.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
97.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
96.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
95.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
95.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
95.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
95.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
94.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
93.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
92.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
92.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
92.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
92.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
91.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
91.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
90.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
90.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
88.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
88.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
87.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
87.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
87.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
85.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
85.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
85.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
85.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
85.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
84.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
84.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
84.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
84.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
83.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
82.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
81.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
81.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
81.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
80.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
80.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
79.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
78.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
77.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
77.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
77.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
76.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
76.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
75.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
75.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
75.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
74.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
73.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
73.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
73.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
73.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
73.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
73.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
73.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
73.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
72.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
72.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
71.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
71.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
70.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
70.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
70.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
70.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
70.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
69.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
69.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
69.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
69.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
69.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
69.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
69.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
68.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
68.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
68.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
67.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
67.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
66.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
66.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
66.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
66.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
66.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
66.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
65.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
65.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
65.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
64.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
63.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
63.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
63.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
63.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
63.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
62.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
62.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
62.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
61.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
61.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
61.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
61.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
61.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
60.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
59.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
59.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
59.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
59.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
58.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
58.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
58.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
58.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
58.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
58.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
58.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
58.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
58.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
58.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
57.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
57.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
57.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
57.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
57.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
56.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
56.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
56.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
56.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
55.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
54.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
54.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
54.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
54.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
54.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
54.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
53.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
53.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
53.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
53.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
53.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
52.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
52.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
52.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
52.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
52.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
52.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
52.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
52.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
52.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
51.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
51.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
51.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
50.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
50.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
50.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
50.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
50.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
49.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
49.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
49.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
49.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
49.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
48.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
47.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
47.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
47.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
47.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
47.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
47.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
46.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
46.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
46.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
46.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
45.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
45.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
45.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
44.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
44.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
44.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
43.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
43.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
43.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
43.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
43.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
43.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
43.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
43.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
42.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
42.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
42.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
42.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
41.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
41.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
41.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
41.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
41.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
41.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
41.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
40.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
40.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
40.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
40.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
40.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
40.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
40.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
40.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
39.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
39.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
39.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
39.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
39.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
38.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
38.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
38.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
37.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
37.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
37.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
37.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
37.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
36.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
36.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
35.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
35.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
35.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
34.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
33.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
33.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
33.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
33.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
33.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
32.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
31.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
30.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
30.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
29.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
29.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
28.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
23.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
22.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
21.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 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.
OXA1L 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
58.1
Number of samples
486
Samples
Sample
Description
TPM
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
114.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
113.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
105.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
102.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
101.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
100.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
100.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
97.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
97.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
94.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
94.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
94.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
94.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
93.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
93.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
92.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
91.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
90.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
89.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
89.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
89.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
89.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
88.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
88.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
88.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
88.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
87.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
87.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
87.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
86.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
86.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
85.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
85.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
85.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
85.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
85.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
84.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
84.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
83.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
83.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
83.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
82.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
82.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
82.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
81.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
81.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
81.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
81.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
81.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
81.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
80.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
79.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
79.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
79.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
79.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
79.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
79.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
78.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
78.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
78.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
78.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
78.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
78.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
77.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
77.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
77.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
77.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
77.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
76.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
76.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
76.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
76.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
76.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
75.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
75.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
75.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
75.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
75.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
75.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
75.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
74.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
74.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
74.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
74.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
74.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
73.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
73.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
72.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
72.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
72.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
72.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
72.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
72.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
72.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
71.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
71.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
71.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
71.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
71.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
71.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
71.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
70.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
70.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
70.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
70.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
70.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
70.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
70.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
70.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
70.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
69.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
69.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
69.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
69.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
69.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
69.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
68.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
68.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
68.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
68.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
68.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
67.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
67.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
67.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
67.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
67.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
67.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
67.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
67.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
67.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
66.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
66.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
66.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
66.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
66.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
66.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
66.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
66.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
66.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
65.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
65.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
65.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
65.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
65.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
65.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
65.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
64.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
64.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
64.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
64.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
64.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
64.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
64.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
63.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
63.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
63.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
63.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
63.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
63.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
63.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
63.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
63.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
63.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
63.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
63.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
62.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
62.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
62.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
62.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
62.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
62.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
62.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
62.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
62.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
62.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
62.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
62.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
62.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
61.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
61.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
61.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
61.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
61.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
61.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
60.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
60.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
60.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
60.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
60.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
60.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
60.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
60.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
60.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
60.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
60.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
60.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
60.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
60.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
60.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
60.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
59.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
59.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
59.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
59.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
59.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
59.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
59.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
59.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
59.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
59.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
59.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
59.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
59.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
59.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
58.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
58.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
58.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
58.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
58.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
58.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
58.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
58.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
58.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
57.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
57.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
57.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
57.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
57.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
57.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
57.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
57.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
57.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
57.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
56.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
56.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
56.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
56.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
56.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
56.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
56.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
56.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
56.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
55.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
55.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
55.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
55.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
55.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
55.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
55.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
55.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
55.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
55.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
54.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
54.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
54.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
54.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
54.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
54.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
54.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
54.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
54.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
54.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
54.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
53.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
53.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
53.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
53.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
53.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
53.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
53.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
53.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
53.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
53.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
53.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
53.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
52.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
52.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
52.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
52.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
52.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
52.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
52.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
52.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
52.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
52.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
51.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
51.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
51.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
51.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
51.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
51.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
51.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
51.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
50.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
50.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
50.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
50.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
50.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
50.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
50.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
50.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
49.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
49.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
49.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
49.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
49.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
49.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
49.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
49.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
49.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
49.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
49.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
49.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
48.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
48.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
48.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
48.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
48.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
48.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
48.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
47.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
47.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
47.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
47.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
47.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
47.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
47.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
47.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
46.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
46.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
46.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
46.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
46.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
46.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
46.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
46.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
46.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
46.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
45.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
45.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
45.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
45.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
45.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
45.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
45.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
45.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
45.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
44.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
44.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
44.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
43.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
43.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
43.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
43.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
43.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
43.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
43.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
43.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
43.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
43.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
42.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
42.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
41.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
41.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
41.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
41.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
41.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
40.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
40.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
40.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
39.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
39.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
39.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
39.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
39.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
39.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
38.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
38.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
38.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
38.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
38.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
37.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
37.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
37.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
37.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
36.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
36.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
36.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
36.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
35.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
35.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
35.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
35.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
35.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
34.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
34.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
34.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
34.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
34.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
33.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
33.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
33.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
32.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
32.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
32.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
31.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
30.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
29.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
28.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
28.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
28.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
28.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
27.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
27.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
25.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
24.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
19.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.7
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.
OXA1L 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
54.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
106.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
94.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
94.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
89.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
89.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
85.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
85.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
83.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
81.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
79.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
79.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
74.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
73.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
72.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
72.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
71.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
71.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
69.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
68.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
68.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
67.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
66.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
65.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
65.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
65.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
64.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
63.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
63.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
63.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
63.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
63.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
61.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
59.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
58.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
58.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
58.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
57.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
57.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
56.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
55.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
54.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
54.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
53.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
52.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
52.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
51.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
51.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
51.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
50.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
50.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
49.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
49.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
48.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
48.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
47.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
46.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
46.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
46.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
45.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
45.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
44.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
43.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
42.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
41.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
40.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
40.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
39.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
38.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
37.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
37.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
37.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
36.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
33.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
33.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
32.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
32.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
31.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
31.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
29.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
27.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
24.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
24.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
16.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
14.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
OXA1L 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
48.8
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
106.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
93.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
93.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
91.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
90.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
85.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
84.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
80.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
78.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
76.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
75.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
75.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
75.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
73.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
72.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
72.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
70.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
70.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
70.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
69.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
69.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
68.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
67.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
67.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
66.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
66.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
64.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
64.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
64.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
64.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
62.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
62.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
62.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
62.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
61.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
61.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
61.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
60.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
60.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
60.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
60.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
59.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
59.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
59.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
59.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
58.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
58.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
58.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
58.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
58.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
57.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
57.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
57.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
57.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
57.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
57.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
56.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
56.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
56.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
55.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
55.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
55.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
54.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
54.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
54.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
54.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
54.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
54.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
53.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
53.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
53.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
53.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
53.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
53.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
53.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
52.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
52.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
52.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
52.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
51.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
51.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
51.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
51.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
51.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
50.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
50.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
50.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
50.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
50.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
50.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
50.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
50.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
49.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
48.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
48.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
48.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
48.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
47.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
47.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
47.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
47.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
47.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
47.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
46.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
46.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
46.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
46.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
46.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
46.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
45.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
45.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
45.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
45.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
44.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
44.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
44.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
43.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
43.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
43.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
43.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
43.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
42.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
42.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
42.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
42.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
42.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
41.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
41.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
41.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
41.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
41.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
41.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
40.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
40.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
40.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
39.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
38.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
37.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
37.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
37.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
34.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
34.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
33.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
33.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
32.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
32.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
32.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
31.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
31.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
31.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
30.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
30.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
29.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
29.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
28.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
27.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
26.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
25.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
25.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
25.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
25.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
24.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
23.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
23.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
23.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
22.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
21.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
20.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
18.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
17.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-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
