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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.
HSPA9 is potential prognostic, high expression is favorable 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
75.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
175.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
170.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
165.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
162.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
160.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
153.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
152.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
141.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
137.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
137.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
136.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
136.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
135.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
130.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
127.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
126.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
124.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
123.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
122.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
121.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
120.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
120.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
119.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
118.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
117.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
114.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
113.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
113.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
113.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
113.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
112.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
112.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
111.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
110.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
110.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
109.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
106.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
106.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
104.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
103.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
103.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
102.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
102.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
101.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
101.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
100.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
100.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
99.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
99.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
98.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
98.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
98.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
98.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
97.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
97.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
96.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
96.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
94.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
94.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
94.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
93.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
93.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
92.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
92.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
91.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
90.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
90.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
89.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
89.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
89.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
89.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
88.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
88.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
87.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
87.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
87.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
87.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
87.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
87.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
86.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
86.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
86.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
86.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
86.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
85.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
85.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
84.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
84.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
84.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
83.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
83.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
83.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
83.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
82.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
82.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
82.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
82.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
82.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
82.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
81.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
81.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
80.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
79.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
79.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
79.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
79.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
79.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
78.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
78.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
78.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
77.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
77.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
76.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
76.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
75.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
75.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
74.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
74.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
74.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
73.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
73.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
73.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
73.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
73.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
73.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
72.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
72.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
71.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
71.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
70.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
70.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
70.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
69.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
69.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
69.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
69.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
69.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
69.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
69.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
68.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
68.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
68.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
68.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
68.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
67.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
67.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
66.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
65.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
65.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
64.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
64.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
64.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
64.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
64.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
64.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
64.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
63.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
63.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
63.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
62.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
61.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
61.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
61.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
61.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
60.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
60.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
60.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
59.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
59.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
58.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
58.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
58.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
58.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
57.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
57.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
57.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
57.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
57.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
56.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
56.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
55.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
55.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
55.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
55.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
55.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
55.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
55.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
54.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
54.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
54.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
54.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
54.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
54.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
54.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
53.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
53.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
53.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
52.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
52.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
52.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
51.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
51.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
51.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
51.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
50.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
50.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
50.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
49.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
48.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
47.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
47.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
47.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
47.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
46.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
46.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
46.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
45.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
45.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
44.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
43.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
43.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
40.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
40.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
40.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
39.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
39.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
38.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
38.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
38.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
38.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
36.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
36.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
35.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
34.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
34.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
33.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
33.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
32.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
31.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
30.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
28.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
26.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
26.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
26.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
25.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
25.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
22.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
22.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
HSPA9 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
88.9
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
307.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
276.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
179.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
177.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
175.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
169.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
164.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
162.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
159.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
158.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
158.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
156.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
156.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
152.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
151.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
150.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
145.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
142.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
142.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
138.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
136.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
135.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
135.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
134.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
134.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
133.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
133.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
132.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
132.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
132.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
130.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
129.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
128.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
127.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
127.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
126.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
126.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
126.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
126.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
126.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
126.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
126.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
125.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
125.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
125.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
123.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
123.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
122.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
121.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
121.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
121.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
121.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
121.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
121.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
121.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
120.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
120.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
120.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
120.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
120.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
120.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
120.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
119.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
119.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
119.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
118.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
118.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
118.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
118.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
117.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
117.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
116.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
116.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
115.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
115.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
114.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
114.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
113.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
113.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
113.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
112.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
112.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
112.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
112.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
112.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
112.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
112.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
111.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
111.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
111.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
111.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
111.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
111.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
111.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
110.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
110.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
110.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
110.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
109.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
109.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
109.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
109.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
108.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
108.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
108.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
108.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
108.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
108.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
107.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
107.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
107.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
107.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
107.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
107.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
107.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
107.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
107.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
107.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
107.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
106.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
106.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
106.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
105.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
105.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
105.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
104.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
104.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
104.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
103.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
103.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
103.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
103.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
103.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
103.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
102.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
102.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
102.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
102.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
102.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
102.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
101.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
101.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
101.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
101.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
101.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
101.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
101.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
101.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
100.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
100.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
100.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
100.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
100.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
100.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
100.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
100.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
100.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
99.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
99.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
99.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
99.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
99.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
99.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
99.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
99.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
99.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
98.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
98.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
98.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
98.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
98.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
98.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
98.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
98.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
98.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
98.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
98.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
97.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
97.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
97.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
97.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
97.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
97.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
97.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
96.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
96.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
96.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
95.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
94.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
94.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
94.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
94.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
94.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
94.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
94.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
93.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
93.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
93.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
93.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
93.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
93.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
93.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
93.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
92.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
91.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
91.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
91.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
91.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
91.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
91.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
91.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
91.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
91.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
91.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
90.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
90.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
90.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
90.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
90.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
90.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
89.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
89.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
89.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
89.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
89.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
89.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
89.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
89.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
89.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
89.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
89.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
88.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
88.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
88.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
88.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
88.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
87.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
87.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
87.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
86.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
86.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
86.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
86.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
86.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
86.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
86.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
86.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
86.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
86.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
86.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
85.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
85.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
85.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
85.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
85.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
85.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
84.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
84.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
83.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
83.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
83.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
83.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
83.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
83.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
83.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
83.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
82.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
82.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
82.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
82.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
82.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
82.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
81.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
81.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
81.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
80.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
80.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
80.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
80.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
80.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
80.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
80.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
80.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
80.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
80.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
79.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
79.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
79.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
79.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
79.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
79.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
79.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
79.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
79.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
79.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
79.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
79.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
79.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
79.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
79.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
78.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
78.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
78.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
78.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
78.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
78.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
77.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
77.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
77.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
77.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
77.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
77.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
77.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
77.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
77.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
76.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
76.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
76.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
76.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
75.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
74.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
74.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
74.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
74.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
74.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
74.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
74.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
73.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
73.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
73.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
73.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
73.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
72.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
72.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
72.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
72.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
71.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
71.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
71.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
71.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
71.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
71.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
71.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
71.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
71.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
70.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
70.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
70.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
70.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
69.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
69.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
69.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
69.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
69.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
68.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
68.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
68.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
68.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
68.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
67.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
67.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
67.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
67.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
67.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
67.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
67.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
67.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
66.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
66.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
66.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
65.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
65.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
65.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
65.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
65.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
65.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
65.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
65.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
64.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
64.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
64.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
63.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
63.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
63.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
63.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
63.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
63.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
63.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
62.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
62.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
62.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
62.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
62.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
62.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
62.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
62.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
62.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
62.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
61.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
61.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
61.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
60.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
60.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
59.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
59.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
59.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
59.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
59.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
59.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
59.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
59.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
58.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
58.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
58.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
58.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
58.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
58.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
57.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
57.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
57.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
56.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
56.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
56.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
56.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
56.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
56.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
55.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
55.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
55.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
55.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
55.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
54.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
54.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
54.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
54.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
54.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
53.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
53.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
53.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
53.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
53.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
53.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
53.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
52.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
52.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
51.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
51.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
51.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
50.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
50.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
50.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
50.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
49.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
49.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
48.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
48.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
47.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
47.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
47.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
47.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
46.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
46.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
45.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
44.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
43.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.5
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.
HSPA9 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
75.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
156.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
156.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
153.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
143.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
139.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
137.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
135.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
135.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
133.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
126.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
120.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
120.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
113.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
112.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
108.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
108.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
107.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
103.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
102.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
102.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
99.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
96.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
96.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
93.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
92.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
92.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
92.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
91.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
90.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
86.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
85.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
85.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
84.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
83.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
81.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
78.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
77.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
77.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
76.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
76.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
76.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
76.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
74.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
74.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
71.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
71.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
71.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
71.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
71.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
70.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
68.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
67.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
66.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
63.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
62.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
59.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
59.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
56.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
55.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
55.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
55.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
55.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
55.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
54.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
54.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
53.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
52.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
51.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
50.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
49.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
49.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
46.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
43.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
39.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
37.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
36.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
34.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
33.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
26.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
19.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
17.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
4.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
3.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
HSPA9 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
76.0
Number of samples
207
Samples
Sample
Description
TPM
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
164.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
157.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
157.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
141.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
137.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
134.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
130.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
126.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
125.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
123.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
122.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
119.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
118.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
115.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
113.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
112.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
111.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
110.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
110.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
109.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
109.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
105.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
105.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
105.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
105.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
104.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
103.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
103.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
103.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
103.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
102.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
102.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
102.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
101.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
100.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
99.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
99.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
98.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
98.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
98.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
97.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
97.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
96.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
95.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
95.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
93.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
93.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
92.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
92.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
91.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
90.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
90.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
90.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
90.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
89.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
89.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
89.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
89.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
88.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
88.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
87.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
87.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
85.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
85.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
85.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
85.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
84.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
84.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
84.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
84.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
83.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
83.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
83.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
83.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
83.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
82.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
82.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
82.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
82.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
82.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
81.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
80.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
80.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
80.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
79.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
79.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
78.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
77.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
76.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
75.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
74.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
74.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
74.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
74.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
74.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
73.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
73.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
72.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
72.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
72.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
72.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
72.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
71.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
71.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
71.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
71.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
70.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
69.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
69.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
69.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
69.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
69.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
69.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
68.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
68.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
68.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
68.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
68.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
67.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
67.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
67.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
67.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
67.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
66.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
66.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
66.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
66.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
65.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
65.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
65.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
65.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
64.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
64.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
63.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
63.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
63.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
62.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
62.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
62.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
61.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
61.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
61.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
61.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
61.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
60.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
60.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
59.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
59.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
59.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
58.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
58.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
58.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
57.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
57.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
57.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
56.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
56.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
56.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
56.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
55.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
55.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
55.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
54.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
54.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
53.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
53.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
53.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
52.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
51.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
51.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
51.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
50.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
50.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
49.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
49.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
48.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
48.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
47.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
44.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
44.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
44.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
43.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
43.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
42.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
42.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
39.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
34.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
30.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
1.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
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Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
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Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
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
