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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SIGMAR1 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
94.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
290.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
274.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
197.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
188.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
185.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
185.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
168.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
166.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
164.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
159.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
159.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
153.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
149.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
145.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
145.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
143.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
143.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
141.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
141.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
140.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
140.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
139.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
139.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
139.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
138.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
138.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
135.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
133.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
132.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
131.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
131.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
131.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
130.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
129.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
129.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
129.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
127.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
127.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
127.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
127.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
125.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
125.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
123.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
123.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
123.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
122.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
122.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
122.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
122.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
122.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
121.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
120.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
120.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
118.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
117.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
117.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
117.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
116.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
116.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
115.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
113.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
113.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
113.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
112.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
112.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
112.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
111.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
111.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
110.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
110.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
110.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
109.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
109.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
109.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
107.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
106.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
106.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
105.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
105.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
105.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
105.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
105.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
104.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
104.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
104.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
104.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
103.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
103.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
103.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
103.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
102.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
101.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
100.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
100.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
100.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
100.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
99.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
98.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
98.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
97.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
97.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
97.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
97.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
97.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
96.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
96.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
96.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
96.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
95.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
94.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
94.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
94.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
93.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
93.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
93.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
93.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
92.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
92.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
92.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
92.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
91.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
91.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
91.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
91.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
90.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
90.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
89.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
89.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
89.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
89.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
88.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
87.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
87.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
87.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
87.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
87.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
86.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
86.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
86.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
86.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
85.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
85.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
85.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
84.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
84.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
83.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
83.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
83.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
83.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
83.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
82.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
82.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
81.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
80.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
80.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
80.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
80.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
80.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
80.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
80.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
80.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
79.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
79.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
79.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
79.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
79.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
79.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
78.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
78.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
77.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
77.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
77.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
77.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
76.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
76.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
76.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
76.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
75.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
75.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
75.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
74.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
74.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
74.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
73.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
73.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
73.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
73.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
72.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
72.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
72.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
72.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
71.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
71.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
70.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
69.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
68.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
68.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
67.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
67.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
66.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
66.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
66.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
66.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
65.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
65.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
65.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
65.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
65.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
65.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
65.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
64.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
64.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
64.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
64.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
63.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
62.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
61.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
61.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
60.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
59.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
59.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
58.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
58.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
57.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
56.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
56.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
56.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
56.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
56.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
55.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
55.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
54.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
54.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
54.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
53.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
50.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
50.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
50.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
49.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
48.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
47.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
46.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
46.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
45.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
45.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
42.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
40.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
39.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
39.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
38.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
34.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
28.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 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.
SIGMAR1 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
77.2
Number of samples
486
Samples
Sample
Description
TPM
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
188.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
172.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
159.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
158.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
154.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
152.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
146.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
144.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
142.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
140.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
140.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
137.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
137.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
130.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
129.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
129.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
129.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
128.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
127.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
126.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
126.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
126.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
124.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
124.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
124.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
123.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
122.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
122.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
122.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
122.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
121.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
121.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
119.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
118.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
118.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
118.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
118.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
117.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
117.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
115.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
114.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
114.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
114.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
114.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
114.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
113.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
113.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
113.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
112.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
111.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
111.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
111.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
110.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
110.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
110.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
109.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
109.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
109.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
109.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
109.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
108.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
107.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
107.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
107.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
107.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
106.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
106.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
105.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
105.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
105.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
104.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
104.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
104.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
103.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
103.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
103.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
102.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
102.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
102.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
102.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
101.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
101.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
101.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
101.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
100.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
100.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
99.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
99.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
99.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
99.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
99.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
99.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
98.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
98.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
97.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
97.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
97.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
97.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
97.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
96.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
96.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
96.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
95.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
95.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
95.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
95.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
95.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
95.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
94.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
94.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
94.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
94.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
94.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
94.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
94.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
94.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
93.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
93.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
93.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
93.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
93.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
92.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
92.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
92.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
92.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
91.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
91.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
91.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
91.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
91.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
91.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
90.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
90.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
90.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
90.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
90.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
90.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
90.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
89.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
89.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
89.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
89.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
88.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
88.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
88.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
88.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
88.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
88.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
88.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
88.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
87.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
87.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
87.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
87.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
86.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
86.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
86.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
85.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
85.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
85.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
85.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
84.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
84.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
84.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
84.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
84.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
84.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
83.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
83.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
83.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
83.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
83.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
83.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
83.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
83.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
82.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
82.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
82.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
82.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
81.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
81.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
81.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
81.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
80.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
80.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
80.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
80.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
80.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
80.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
80.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
80.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
80.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
80.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
80.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
80.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
79.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
79.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
79.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
79.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
79.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
79.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
79.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
79.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
79.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
79.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
79.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
79.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
78.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
78.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
78.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
78.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
78.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
78.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
77.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
77.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
77.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
77.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
77.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
77.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
77.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
77.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
77.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
77.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
77.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
77.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
76.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
76.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
76.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
76.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
76.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
76.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
76.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
75.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
75.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
75.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
75.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
74.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
74.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
74.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
74.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
74.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
74.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
74.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
74.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
74.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
73.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
73.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
73.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
73.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
73.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
73.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
72.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
72.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
72.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
72.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
72.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
72.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
71.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
71.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
71.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
71.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
71.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
71.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
70.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
70.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
70.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
70.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
70.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
69.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
69.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
69.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
69.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
69.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
69.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
69.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
69.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
69.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
69.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
69.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
69.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
69.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
68.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
68.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
68.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
68.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
68.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
67.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
67.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
67.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
67.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
67.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
67.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
67.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
67.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
67.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
67.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
67.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
67.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
67.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
66.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
66.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
66.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
66.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
66.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
66.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
66.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
66.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
66.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
66.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
66.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
65.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
65.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
65.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
65.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
65.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
65.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
65.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
65.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
65.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
65.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
65.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
64.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
64.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
64.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
64.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
64.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
64.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
63.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
62.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
62.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
62.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
62.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
62.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
62.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
61.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
61.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
61.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
61.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
61.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
61.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
60.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
60.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
60.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
60.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
60.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
60.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
59.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
59.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
59.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
59.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
59.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
59.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
59.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
59.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
59.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
59.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
59.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
58.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
58.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
58.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
58.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
58.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
58.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
57.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
57.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
57.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
57.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
57.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
57.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
57.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
57.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
57.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
56.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
56.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
56.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
56.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
56.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
55.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
55.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
55.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
55.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
55.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
55.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
55.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
55.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
55.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
55.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
55.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
55.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
54.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
54.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
54.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
53.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
52.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
52.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
52.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
51.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
51.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
51.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
51.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
50.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
50.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
50.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
50.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
50.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
50.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
49.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
49.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
49.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
48.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
48.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
47.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
47.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
47.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
47.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
47.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
47.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
46.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
46.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
46.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
46.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
46.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
45.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
45.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
45.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
45.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
44.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
43.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
42.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
42.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
42.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
42.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
41.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
41.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
41.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
40.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
40.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
38.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
37.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
36.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
35.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
33.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
33.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
32.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
32.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
32.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
27.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
25.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
14.8
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.
SIGMAR1 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
93.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
275.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
188.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
168.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
153.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
152.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
147.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
147.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
147.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
146.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
139.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
138.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
134.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
133.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
128.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
127.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
126.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
119.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
117.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
115.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
113.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
113.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
110.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
108.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
107.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
105.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
105.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
104.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
103.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
103.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
103.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
100.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
100.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
99.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
97.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
96.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
95.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
95.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
94.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
93.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
90.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
90.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
90.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
90.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
88.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
87.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
85.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
85.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
84.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
83.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
82.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
82.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
82.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
81.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
79.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
79.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
79.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
77.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
76.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
76.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
75.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
75.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
74.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
73.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
70.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
68.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
68.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
66.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
65.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
65.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
64.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
62.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
61.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
60.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
60.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
59.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
55.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
54.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
54.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
53.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
52.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
52.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
52.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
50.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
46.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
43.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
35.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
35.2
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.
SIGMAR1 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
65.7
Number of samples
207
Samples
Sample
Description
TPM
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
138.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
127.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
117.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
114.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
112.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
108.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
108.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
108.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
106.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
105.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
102.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
102.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
102.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
101.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
99.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
99.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
98.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
97.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
97.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
96.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
95.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
95.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
94.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
93.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
93.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
93.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
92.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
92.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
92.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
92.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
91.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
90.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
89.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
89.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
88.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
88.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
87.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
86.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
86.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
86.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
86.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
86.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
85.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
85.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
85.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
84.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
84.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
83.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
83.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
82.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
82.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
82.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
81.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
81.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
77.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
77.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
77.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
76.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
76.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
75.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
75.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
75.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
75.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
74.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
74.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
73.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
72.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
72.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
72.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
72.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
71.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
71.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
71.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
71.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
70.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
70.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
70.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
69.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
69.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
69.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
68.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
68.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
68.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
68.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
68.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
68.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
66.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
66.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
66.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
66.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
65.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
65.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
63.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
63.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
63.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
63.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
63.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
63.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
63.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
63.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
62.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
62.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
62.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
62.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
62.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
62.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
62.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
62.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
61.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
61.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
60.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
60.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
60.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
59.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
59.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
59.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
59.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
59.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
59.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
58.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
58.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
58.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
58.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
57.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
56.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
56.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
56.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
56.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
56.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
55.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
55.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
55.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
55.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
55.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
55.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
55.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
54.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
53.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
53.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
52.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
52.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
51.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
51.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
50.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
50.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
50.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
48.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
48.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
47.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
47.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
47.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
46.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
45.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
44.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
44.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
43.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
43.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
42.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
42.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
41.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
40.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
40.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
40.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
39.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
39.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
38.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
37.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
36.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
36.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
36.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
35.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
34.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
34.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
34.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
33.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
32.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
31.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
1.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.9
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.8
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-1.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-1.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.8
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
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
