We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
SPG21 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
69.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
130.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
114.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
112.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
112.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
108.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
106.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
103.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
102.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
97.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
97.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
96.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
96.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
96.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
96.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
95.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
94.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
94.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
93.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
92.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
92.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
92.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
91.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
91.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
90.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
90.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
90.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
90.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
89.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
88.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
87.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
87.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
87.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
87.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
87.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
87.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
86.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
85.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
85.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
85.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
85.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
84.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
84.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
84.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
84.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
83.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
83.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
83.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
83.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
83.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
83.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
83.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
82.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
82.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
82.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
82.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
82.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
81.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
81.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
81.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
81.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
80.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
80.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
80.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
79.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
79.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
79.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
79.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
79.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
79.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
78.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
78.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
78.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
78.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
78.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
77.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
77.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
77.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
77.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
77.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
77.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
77.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
76.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
76.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
76.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
76.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
76.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
76.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
75.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
75.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
75.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
75.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
75.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
75.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
75.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
75.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
75.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
74.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
74.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
74.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
74.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
74.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
74.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
73.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
73.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
73.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
73.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
72.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
72.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
72.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
71.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
71.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
71.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
71.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
70.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
70.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
70.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
70.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
69.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
69.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
69.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
69.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
69.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
69.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
69.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
69.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
68.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
68.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
68.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
68.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
68.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
68.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
68.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
68.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
68.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
67.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
67.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
67.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
67.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
67.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
67.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
67.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
67.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
67.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
67.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
67.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
66.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
66.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
66.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
66.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
66.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
65.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
65.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
65.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
65.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
65.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
65.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
65.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
65.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
64.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
64.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
64.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
64.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
64.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
64.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
64.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
64.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
63.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
63.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
63.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
63.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
63.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
63.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
63.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
63.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
63.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
63.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
62.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
62.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
62.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
61.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
61.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
61.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
61.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
60.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
60.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
59.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
59.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
59.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
59.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
58.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
58.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
58.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
58.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
57.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
57.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
57.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
57.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
57.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
57.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
56.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
56.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
56.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
56.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
56.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
55.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
54.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
53.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
53.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
53.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
53.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
52.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
52.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
52.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
52.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
51.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
51.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
51.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
50.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
50.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
49.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
49.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
49.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
49.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
49.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
48.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
48.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
48.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
48.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
47.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
47.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
47.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
47.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
45.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
45.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
45.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
44.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
44.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
44.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
44.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
43.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
42.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
42.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
40.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
40.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
37.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
37.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
35.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
SPG21 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
58.9
Number of samples
486
Samples
Sample
Description
TPM
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
122.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
121.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
102.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
98.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
98.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
98.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
97.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
96.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
96.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
94.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
92.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
91.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
87.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
87.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
86.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
86.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
85.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
85.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
85.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
83.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
82.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
81.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
81.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
81.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
80.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
80.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
80.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
80.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
79.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
79.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
79.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
78.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
78.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
78.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
78.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
78.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
78.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
77.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
77.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
76.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
76.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
76.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
76.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
76.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
75.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
75.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
75.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
75.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
75.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
75.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
74.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
74.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
74.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
74.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
74.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
74.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
74.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
73.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
73.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
73.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
73.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
73.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
72.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
72.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
72.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
72.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
72.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
72.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
72.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
72.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
71.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
71.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
71.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
71.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
71.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
71.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
71.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
70.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
70.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
70.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
70.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
70.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
70.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
70.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
70.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
70.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
70.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
70.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
70.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
70.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
69.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
69.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
69.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
69.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
69.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
69.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
69.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
69.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
69.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
69.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
69.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
69.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
69.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
69.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
68.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
68.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
68.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
68.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
68.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
68.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
68.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
68.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
68.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
67.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
67.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
67.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
67.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
67.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
67.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
67.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
67.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
67.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
67.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
67.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
67.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
66.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
66.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
66.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
66.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
66.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
66.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
66.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
66.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
65.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
65.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
65.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
65.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
65.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
65.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
65.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
65.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
65.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
64.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
64.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
64.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
64.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
64.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
64.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
64.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
64.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
64.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
64.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
64.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
63.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
63.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
63.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
63.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
63.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
63.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
63.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
63.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
63.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
63.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
63.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
63.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
63.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
63.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
63.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
63.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
63.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
63.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
62.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
62.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
62.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
62.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
62.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
62.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
62.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
62.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
62.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
62.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
62.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
61.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
61.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
61.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
61.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
61.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
61.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
61.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
61.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
61.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
61.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
61.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
61.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
61.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
60.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
60.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
60.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
60.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
60.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
60.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
60.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
60.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
59.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
59.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
59.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
59.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
59.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
59.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
59.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
59.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
59.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
59.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
59.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
59.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
59.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
59.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
59.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
59.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
59.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
59.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
58.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
58.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
58.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
58.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
58.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
58.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
58.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
58.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
58.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
57.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
57.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
57.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
57.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
57.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
57.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
57.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
57.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
57.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
57.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
57.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
57.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
57.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
57.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
57.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
56.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
56.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
56.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
56.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
56.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
56.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
56.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
56.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
56.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
56.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
56.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
56.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
56.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
56.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
55.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
55.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
55.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
55.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
55.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
55.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
55.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
55.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
55.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
55.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
55.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
55.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
55.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
54.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
54.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
54.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
54.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
54.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
54.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
54.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
54.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
54.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
54.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
54.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
54.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
54.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
54.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
54.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
54.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
54.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
54.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
54.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
54.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
54.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
53.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
53.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
53.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
53.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
53.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
53.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
53.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
53.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
53.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
53.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
53.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
53.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
53.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
53.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
52.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
52.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
52.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
52.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
52.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
52.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
52.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
52.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
52.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
52.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
52.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
51.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
51.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
51.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
51.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
51.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
51.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
51.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
51.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
51.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
51.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
51.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
50.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
50.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
50.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
50.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
50.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
50.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
50.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
50.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
50.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
50.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
50.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
50.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
49.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
49.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
49.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
49.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
49.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
49.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
49.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
49.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
49.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
49.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
49.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
49.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
49.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
49.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
49.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
48.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
48.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
48.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
48.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
48.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
48.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
48.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
48.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
48.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
47.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
47.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
47.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
47.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
47.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
47.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
46.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
46.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
46.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
46.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
46.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
45.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
45.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
45.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
45.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
45.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
45.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
45.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
45.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
44.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
43.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
43.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
43.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
43.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
43.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
43.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
42.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
42.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
42.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
41.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
41.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
41.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
41.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
41.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
41.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
41.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
40.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
40.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
39.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
39.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
39.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
39.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
38.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
38.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
37.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
37.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
37.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
36.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
35.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
35.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
33.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
33.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
31.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
27.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
24.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
23.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.0
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SPG21 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
69.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
109.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
107.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
105.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
104.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
101.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
100.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
98.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
96.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
94.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
93.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
93.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
91.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
91.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
90.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
88.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
87.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
87.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
87.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
87.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
87.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
85.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
83.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
81.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
80.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
80.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
80.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
79.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
78.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
77.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
77.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
77.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
76.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
76.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
75.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
75.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
75.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
74.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
73.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
73.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
72.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
72.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
71.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
70.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
70.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
68.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
67.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
67.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
66.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
66.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
66.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
65.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
64.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
64.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
63.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
62.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
61.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
61.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
60.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
60.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
60.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
58.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
58.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
58.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
57.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
56.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
56.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
56.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
55.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
53.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
53.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
53.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
53.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
52.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
51.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
49.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
49.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
49.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
45.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
45.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
44.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
41.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
39.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
38.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
34.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
34.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
23.7
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.
SPG21 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
51.6
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
125.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
85.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
84.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
82.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
82.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
81.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
79.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
78.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
75.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
74.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
73.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
71.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
69.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
67.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
67.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
67.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
66.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
66.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
66.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
65.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
65.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
65.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
64.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
64.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
63.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
63.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
63.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
63.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
62.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
61.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
61.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
60.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
60.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
59.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
59.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
59.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
59.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
59.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
59.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
58.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
58.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
58.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
58.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
58.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
57.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
57.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
57.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
57.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
56.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
56.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
56.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
56.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
56.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
56.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
56.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
56.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
56.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
56.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
55.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
55.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
55.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
55.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
55.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
55.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
54.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
54.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
54.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
54.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
54.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
54.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
54.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
54.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
53.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
53.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
53.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
53.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
53.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
52.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
52.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
52.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
52.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
52.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
52.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
52.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
52.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
51.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
51.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
51.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
51.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
51.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
51.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
51.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
51.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
51.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
51.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
51.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
51.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
51.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
50.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
50.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
50.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
50.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
50.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
50.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
50.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
50.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
50.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
49.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
49.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
49.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
49.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
48.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
48.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
48.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
48.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
47.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
47.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
46.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
46.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
46.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
45.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
45.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
45.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
45.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
45.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
45.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
45.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
44.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
44.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
43.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
43.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
43.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
43.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
43.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
42.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
42.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
42.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
42.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
42.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
41.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
41.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
41.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
41.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
40.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
39.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
39.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
37.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
35.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
35.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
35.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
34.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
31.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
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
