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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.
GARS1 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
90.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
236.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
205.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
203.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
194.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
177.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
175.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
172.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
172.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
167.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
163.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
159.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
158.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
153.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
148.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
148.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
147.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
144.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
140.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
140.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
140.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
139.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
139.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
136.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
136.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
133.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
133.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
128.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
127.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
127.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
126.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
126.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
126.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
125.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
125.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
124.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
124.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
124.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
124.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
122.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
121.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
121.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
118.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
118.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
117.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
117.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
116.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
115.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
115.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
115.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
114.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
113.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
113.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
113.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
111.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
111.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
111.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
111.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
110.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
109.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
109.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
108.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
108.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
107.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
107.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
106.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
106.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
105.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
105.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
103.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
103.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
103.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
103.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
103.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
103.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
102.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
102.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
102.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
102.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
99.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
99.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
99.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
98.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
98.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
97.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
97.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
97.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
96.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
95.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
95.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
94.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
94.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
93.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
93.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
93.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
93.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
93.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
93.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
92.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
92.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
91.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
91.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
91.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
91.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
91.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
90.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
90.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
90.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
90.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
90.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
90.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
89.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
89.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
89.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
89.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
89.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
89.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
88.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
88.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
86.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
86.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
85.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
85.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
85.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
84.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
84.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
84.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
84.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
83.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
83.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
82.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
81.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
81.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
79.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
79.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
79.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
79.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
78.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
78.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
78.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
78.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
78.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
77.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
77.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
77.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
77.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
77.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
76.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
76.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
76.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
75.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
75.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
75.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
75.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
75.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
74.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
73.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
73.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
73.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
73.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
73.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
73.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
72.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
72.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
72.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
71.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
71.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
71.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
71.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
71.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
70.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
70.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
70.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
69.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
69.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
69.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
69.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
69.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
68.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
68.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
68.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
67.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
67.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
67.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
67.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
67.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
67.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
67.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
67.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
67.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
66.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
66.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
66.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
66.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
65.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
65.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
65.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
65.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
64.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
64.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
64.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
63.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
63.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
63.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
63.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
63.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
63.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
62.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
62.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
62.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
62.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
62.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
62.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
61.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
61.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
61.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
61.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
60.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
60.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
60.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
60.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
59.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
59.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
58.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
58.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
57.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
57.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
57.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
56.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
55.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
55.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
55.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
54.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
53.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
51.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
50.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
49.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
49.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
49.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
49.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
47.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
47.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
46.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
46.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
46.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
46.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
44.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
44.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
42.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
41.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
GARS1 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
86.9
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
291.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
202.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
201.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
191.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
189.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
188.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
188.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
183.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
180.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
180.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
177.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
172.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
170.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
167.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
166.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
165.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
165.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
165.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
164.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
158.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
157.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
156.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
154.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
147.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
147.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
146.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
146.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
145.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
145.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
141.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
140.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
140.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
138.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
137.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
137.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
136.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
136.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
133.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
127.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
127.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
127.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
126.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
126.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
125.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
125.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
124.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
124.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
123.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
123.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
123.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
122.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
122.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
122.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
121.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
121.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
121.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
121.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
121.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
120.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
119.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
119.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
119.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
119.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
119.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
119.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
118.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
118.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
118.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
117.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
117.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
117.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
117.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
116.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
116.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
116.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
115.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
114.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
114.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
114.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
114.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
114.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
114.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
114.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
114.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
113.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
113.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
113.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
112.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
112.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
112.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
111.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
111.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
111.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
111.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
111.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
111.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
111.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
111.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
111.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
110.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
110.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
110.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
110.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
109.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
108.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
108.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
108.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
107.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
107.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
107.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
107.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
107.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
107.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
106.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
106.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
106.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
105.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
105.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
105.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
105.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
105.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
105.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
104.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
104.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
104.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
103.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
103.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
103.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
103.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
103.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
102.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
102.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
102.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
102.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
101.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
101.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
101.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
101.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
100.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
100.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
100.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
100.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
100.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
99.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
99.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
99.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
99.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
99.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
98.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
98.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
98.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
98.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
98.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
97.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
97.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
97.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
96.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
96.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
96.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
95.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
95.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
95.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
95.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
95.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
95.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
95.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
94.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
94.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
94.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
94.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
93.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
93.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
93.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
93.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
93.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
93.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
93.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
93.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
93.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
93.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
92.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
91.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
91.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
91.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
91.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
91.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
91.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
91.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
90.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
90.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
90.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
90.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
90.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
90.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
90.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
90.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
90.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
90.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
89.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
89.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
89.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
89.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
89.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
89.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
89.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
89.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
88.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
88.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
88.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
88.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
88.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
87.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
87.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
87.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
87.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
87.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
87.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
87.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
87.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
87.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
86.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
85.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
85.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
85.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
85.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
85.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
85.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
85.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
84.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
84.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
84.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
84.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
84.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
84.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
83.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
83.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
83.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
83.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
83.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
83.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
83.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
82.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
82.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
82.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
82.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
82.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
82.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
82.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
82.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
82.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
81.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
81.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
81.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
81.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
81.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
81.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
81.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
81.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
80.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
80.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
80.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
80.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
80.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
80.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
80.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
79.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
79.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
79.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
79.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
79.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
78.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
78.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
78.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
78.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
78.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
78.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
78.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
78.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
78.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
78.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
77.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
77.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
77.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
77.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
77.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
77.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
77.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
76.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
76.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
76.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
76.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
76.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
76.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
75.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
75.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
75.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
75.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
75.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
75.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
75.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
74.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
74.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
74.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
73.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
73.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
73.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
73.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
73.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
73.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
72.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
72.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
72.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
72.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
72.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
72.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
72.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
72.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
71.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
71.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
71.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
71.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
71.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
71.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
71.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
71.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
70.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
70.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
70.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
70.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
70.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
70.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
70.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
70.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
69.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
69.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
69.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
69.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
68.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
68.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
68.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
67.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
67.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
66.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
66.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
66.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
66.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
66.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
65.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
65.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
65.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
65.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
65.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
65.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
65.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
65.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
65.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
65.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
65.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
64.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
64.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
64.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
64.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
64.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
63.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
63.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
63.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
63.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
63.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
63.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
63.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
63.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
63.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
62.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
62.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
62.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
62.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
62.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
61.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
61.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
60.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
60.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
60.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
60.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
59.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
59.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
59.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
59.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
58.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
58.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
58.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
58.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
58.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
58.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
58.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
58.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
57.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
57.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
57.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
57.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
57.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
57.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
57.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
57.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
56.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
56.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
56.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
56.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
56.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
56.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
55.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
55.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
54.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
54.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
54.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
54.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
54.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
54.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
54.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
53.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
53.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
53.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
53.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
53.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
53.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
53.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
52.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
52.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
52.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
52.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
51.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
50.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
50.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
50.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
49.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
49.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
48.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
48.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
48.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
47.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
47.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
47.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
46.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
45.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
44.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
44.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
44.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
43.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
42.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
41.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
39.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
38.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
33.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
32.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
29.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
29.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
21.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.3
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
GARS1 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
90.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
199.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
185.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
174.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
169.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
168.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
162.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
152.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
136.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
133.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
133.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
130.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
128.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
125.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
115.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
115.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
114.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
109.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
108.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
107.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
107.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
107.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
106.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
106.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
105.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
103.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
103.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
103.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
101.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
101.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
99.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
99.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
98.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
94.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
93.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
92.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
92.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
91.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
90.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
89.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
89.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
89.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
88.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
88.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
88.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
88.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
88.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
84.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
83.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
83.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
82.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
82.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
81.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
80.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
80.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
80.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
78.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
78.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
78.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
78.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
78.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
77.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
76.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
75.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
75.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
73.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
72.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
70.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
70.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
67.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
61.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
61.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
60.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
59.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
58.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
56.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
50.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
50.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
49.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
47.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
44.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
44.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
41.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
41.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
36.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
29.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
25.5
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.
GARS1 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
76.5
Number of samples
207
Samples
Sample
Description
TPM
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
187.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
159.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
159.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
155.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
146.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
138.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
136.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
136.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
131.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
129.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
129.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
129.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
127.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
125.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
123.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
123.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
122.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
118.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
118.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
116.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
115.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
114.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
113.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
112.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
112.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
111.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
110.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
109.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
109.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
108.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
106.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
106.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
106.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
105.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
104.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
104.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
102.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
102.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
102.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
101.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
100.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
99.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
99.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
99.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
98.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
98.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
97.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
96.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
96.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
96.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
95.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
94.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
94.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
94.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
94.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
93.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
93.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
93.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
92.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
92.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
92.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
91.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
90.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
90.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
88.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
88.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
87.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
87.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
87.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
86.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
83.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
83.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
83.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
83.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
82.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
82.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
81.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
80.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
78.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
78.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
77.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
75.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
75.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
75.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
74.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
74.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
74.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
74.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
74.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
74.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
74.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
73.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
73.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
73.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
73.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
73.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
73.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
72.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
71.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
70.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
70.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
70.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
70.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
69.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
69.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
69.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
69.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
68.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
68.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
68.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
67.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
67.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
67.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
67.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
67.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
66.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
66.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
66.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
66.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
66.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
66.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
66.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
66.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
66.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
66.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
65.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
65.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
64.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
63.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
63.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
63.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
62.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
62.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
61.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
61.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
61.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
61.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
61.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
61.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
60.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
60.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
60.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
60.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
60.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
60.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
60.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
60.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
59.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
59.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
59.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
59.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
59.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
57.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
57.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
56.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
56.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
55.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
55.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
54.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
54.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
54.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
53.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
52.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
51.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
51.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
51.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
50.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
50.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
49.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
49.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
48.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
48.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
47.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
46.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
45.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
45.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
43.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
43.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
43.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
43.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
43.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
39.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
38.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
38.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
37.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
37.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
36.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
32.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
26.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
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
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_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
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_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
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_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
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_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
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
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
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
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
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_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
