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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.
PSMC1 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
64.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
143.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
121.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
119.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
113.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
109.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
109.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
105.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
102.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
102.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
97.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
96.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
96.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
94.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
94.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
93.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
91.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
91.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
91.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
91.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
91.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
90.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
88.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
88.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
87.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
86.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
85.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
84.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
84.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
82.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
82.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
82.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
82.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
81.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
81.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
81.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
80.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
80.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
80.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
80.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
80.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
80.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
80.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
79.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
79.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
79.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
78.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
78.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
78.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
77.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
77.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
77.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
76.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
76.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
76.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
76.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
76.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
76.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
76.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
75.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
75.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
75.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
74.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
74.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
74.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
74.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
74.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
74.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
73.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
73.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
72.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
72.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
72.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
72.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
72.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
71.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
71.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
71.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
70.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
70.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
70.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
70.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
69.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
69.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
69.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
69.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
69.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
69.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
68.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
68.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
68.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
68.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
68.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
68.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
67.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
67.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
67.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
67.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
67.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
67.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
66.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
66.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
66.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
66.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
66.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
66.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
65.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
65.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
65.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
65.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
65.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
65.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
65.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
65.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
64.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
64.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
64.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
64.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
64.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
64.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
64.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
64.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
63.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
63.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
63.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
62.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
62.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
62.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
62.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
62.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
61.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
61.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
61.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
61.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
60.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
60.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
60.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
60.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
60.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
60.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
60.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
60.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
60.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
59.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
59.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
59.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
59.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
59.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
59.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
59.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
58.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
58.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
58.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
58.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
58.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
57.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
57.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
57.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
57.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
57.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
57.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
56.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
56.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
56.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
56.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
56.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
56.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
56.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
56.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
56.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
55.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
55.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
55.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
54.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
54.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
54.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
54.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
54.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
54.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
54.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
53.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
53.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
53.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
52.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
52.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
52.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
52.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
52.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
52.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
51.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
51.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
51.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
51.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
51.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
51.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
50.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
50.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
50.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
49.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
49.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
49.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
49.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
49.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
49.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
48.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
48.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
48.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
48.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
47.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
47.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
47.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
46.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
46.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
45.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
45.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
45.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
45.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
45.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
45.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
45.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
45.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
44.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
44.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
44.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
43.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
43.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
43.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
43.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
42.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
41.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
41.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
41.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
40.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
40.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
40.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
40.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
40.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
40.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
39.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
39.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
39.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
38.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
38.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
35.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
29.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 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.
PSMC1 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
42.3
Number of samples
486
Samples
Sample
Description
TPM
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
92.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
77.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
76.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
75.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
74.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
71.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
70.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
70.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
69.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
69.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
68.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
68.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
67.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
65.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
64.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
64.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
63.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
63.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
63.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
63.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
62.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
62.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
62.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
62.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
60.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
60.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
59.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
59.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
59.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
59.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
59.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
59.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
58.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
58.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
58.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
58.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
58.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
58.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
57.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
57.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
56.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
56.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
56.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
56.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
56.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
56.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
56.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
55.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
55.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
55.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
55.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
54.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
54.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
54.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
54.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
54.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
54.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
54.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
54.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
54.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
54.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
53.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
53.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
53.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
53.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
53.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
53.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
53.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
53.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
53.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
52.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
52.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
52.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
52.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
51.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
51.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
51.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
51.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
51.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
51.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
51.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
50.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
50.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
50.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
50.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
50.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
50.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
50.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
50.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
50.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
50.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
50.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
50.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
49.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
49.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
49.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
49.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
49.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
49.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
49.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
49.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
49.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
49.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
48.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
48.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
48.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
48.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
48.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
48.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
48.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
48.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
48.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
48.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
48.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
48.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
48.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
48.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
48.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
48.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
47.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
47.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
47.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
47.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
47.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
47.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
47.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
47.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
47.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
47.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
46.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
46.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
46.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
46.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
46.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
46.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
46.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
46.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
46.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
45.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
45.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
45.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
45.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
45.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
45.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
45.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
45.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
45.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
45.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
45.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
45.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
44.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
44.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
44.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
44.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
44.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
44.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
44.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
44.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
43.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
43.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
43.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
43.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
43.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
43.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
43.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
43.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
43.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
43.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
43.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
43.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
42.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
42.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
42.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
42.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
42.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
42.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
42.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
42.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
42.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
42.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
41.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
41.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
41.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
41.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
41.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
41.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
41.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
41.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
41.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
41.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
41.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
41.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
41.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
41.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
41.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
41.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
40.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
40.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
40.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
40.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
40.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
40.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
40.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
40.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
40.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
40.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
40.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
40.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
40.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
40.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
40.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
40.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
39.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
39.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
39.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
39.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
39.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
39.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
39.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
39.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
39.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
39.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
38.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
38.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
38.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
38.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
38.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
38.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
38.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
38.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
38.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
38.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
38.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
38.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
38.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
38.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
38.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
38.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
37.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
37.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
37.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
37.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
37.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
37.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
37.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
37.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
37.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
37.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
37.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
37.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
37.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
37.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
37.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
37.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
37.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
37.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
36.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
36.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
36.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
36.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
36.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
36.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
36.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
36.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
36.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
35.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
35.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
35.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
35.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
35.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
35.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
35.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
35.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
35.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
35.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
35.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
35.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
35.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
35.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
35.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
35.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
35.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
34.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
34.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
34.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
34.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
34.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
34.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
34.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
34.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
34.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
34.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
34.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
33.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
33.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
33.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
33.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
33.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
33.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
33.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
33.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
33.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
33.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
33.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
32.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
32.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
32.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
32.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
32.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
32.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
32.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
32.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
32.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
32.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
32.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
32.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
32.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
32.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
32.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
31.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
31.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
31.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
31.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
31.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
31.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
31.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
31.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
31.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
31.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
31.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
31.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
31.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
31.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
30.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
30.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
30.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
30.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
30.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
29.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
29.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
29.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
29.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
29.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
29.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
28.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
28.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
28.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
28.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
28.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
27.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
27.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
27.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
27.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
27.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
27.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
26.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
26.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
26.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
25.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
25.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
25.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
25.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
25.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
24.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
24.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
24.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
23.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
23.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
22.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
20.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
20.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
17.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.3
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.
PSMC1 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
61.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
123.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
109.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
101.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
87.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
86.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
84.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
84.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
82.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
82.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
81.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
80.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
80.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
76.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
75.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
75.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
75.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
75.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
74.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
74.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
74.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
73.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
73.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
73.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
73.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
72.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
72.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
70.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
70.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
68.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
67.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
67.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
67.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
66.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
66.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
66.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
65.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
64.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
64.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
63.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
63.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
62.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
61.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
61.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
61.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
60.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
59.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
59.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
59.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
59.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
59.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
58.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
57.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
56.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
56.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
56.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
56.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
54.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
54.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
53.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
53.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
52.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
52.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
51.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
50.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
50.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
49.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
49.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
49.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
49.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
48.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
46.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
46.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
45.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
45.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
44.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
44.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
43.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
42.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
40.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
39.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
37.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
36.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
34.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
32.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
32.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
30.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PSMC1 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
34.3
Number of samples
207
Samples
Sample
Description
TPM
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
69.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
65.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
62.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
60.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
60.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
56.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
55.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
54.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
54.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
52.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
52.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
51.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
51.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
51.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
50.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
50.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
48.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
47.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
46.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
46.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
46.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
45.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
45.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
45.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
45.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
44.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
44.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
44.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
44.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
43.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
43.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
42.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
42.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
41.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
41.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
41.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
41.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
41.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
41.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
41.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
41.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
40.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
40.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
39.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
39.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
39.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
38.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
38.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
38.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
38.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
38.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
37.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
37.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
37.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
37.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
37.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
36.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
36.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
36.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
36.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
36.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
36.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
36.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
36.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
36.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
36.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
36.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
35.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
35.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
35.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
35.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
34.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
34.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
34.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
34.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
34.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
34.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
34.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
33.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
33.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
33.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
33.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
33.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
33.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
32.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
32.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
32.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
32.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
32.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
31.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
31.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
31.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
31.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
31.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
31.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
31.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
31.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
31.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
31.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
31.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
31.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
31.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
30.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
30.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
30.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
30.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
30.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
30.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
30.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
30.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
30.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
30.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
30.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
30.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
29.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
29.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
29.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
29.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
28.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
28.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
28.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
28.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
28.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
28.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
28.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
28.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
27.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
27.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
27.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
27.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
27.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
27.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
27.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
26.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
26.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
26.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
26.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
25.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
25.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
24.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
24.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
24.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
24.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
24.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
23.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
23.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
22.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
22.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
22.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
22.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
22.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
21.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
21.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
21.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
21.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
21.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
20.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
20.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
20.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
20.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
19.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
19.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
18.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
18.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
17.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
16.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
15.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
15.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
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Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
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Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
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Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
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Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
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
