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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.
DNAJB1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
113.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
511.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
492.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
442.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
334.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
332.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
311.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
308.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
294.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
285.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
274.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
271.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
251.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
234.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
224.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
214.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
205.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
202.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
200.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
195.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
195.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
195.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
192.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
190.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
190.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
189.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
181.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
170.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
170.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
169.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
168.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
167.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
163.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
156.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
155.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
154.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
152.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
150.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
149.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
149.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
148.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
147.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
147.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
146.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
145.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
144.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
144.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
139.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
139.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
139.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
138.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
138.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
138.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
135.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
134.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
133.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
127.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
126.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
126.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
125.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
125.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
125.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
123.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
123.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
122.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
122.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
121.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
120.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
120.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
119.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
116.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
116.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
116.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
116.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
115.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
115.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
114.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
114.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
112.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
112.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
111.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
111.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
111.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
110.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
110.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
110.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
109.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
109.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
109.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
109.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
109.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
109.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
109.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
108.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
108.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
107.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
106.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
106.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
106.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
106.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
105.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
105.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
105.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
105.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
104.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
104.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
104.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
103.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
103.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
103.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
102.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
102.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
102.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
102.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
101.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
101.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
101.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
101.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
101.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
99.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
99.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
99.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
97.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
97.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
96.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
96.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
96.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
95.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
95.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
95.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
94.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
94.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
94.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
94.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
93.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
93.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
93.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
93.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
93.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
93.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
93.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
93.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
93.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
93.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
92.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
92.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
91.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
91.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
91.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
91.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
91.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
90.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
90.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
90.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
90.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
90.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
90.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
89.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
89.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
89.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
89.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
88.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
87.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
87.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
87.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
86.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
86.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
86.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
86.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
85.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
85.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
83.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
83.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
82.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
82.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
81.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
81.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
81.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
81.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
80.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
80.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
79.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
79.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
78.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
77.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
77.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
77.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
77.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
76.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
76.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
76.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
76.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
76.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
75.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
75.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
75.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
75.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
75.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
75.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
74.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
74.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
73.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
73.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
73.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
72.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
72.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
72.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
72.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
72.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
72.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
70.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
70.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
70.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
70.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
70.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
70.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
69.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
68.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
68.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
68.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
68.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
68.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
67.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
67.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
67.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
66.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
66.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
66.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
65.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
63.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
63.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
62.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
62.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
61.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
60.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
59.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
59.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
59.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
58.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
58.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
57.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
57.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
57.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
53.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
52.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
52.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
52.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
52.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
52.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
51.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
51.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
45.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
45.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
40.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 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.
DNAJB1 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
110.2
Number of samples
486
Samples
Sample
Description
TPM
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1205.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
734.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
708.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
575.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
561.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
431.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
410.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
407.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
359.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
321.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
320.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
304.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
285.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
276.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
254.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
247.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
238.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
234.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
232.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
226.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
223.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
222.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
221.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
221.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
216.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
215.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
212.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
210.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
209.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
208.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
204.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
196.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
195.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
195.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
193.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
192.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
192.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
192.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
184.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
184.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
181.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
180.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
179.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
179.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
177.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
175.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
175.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
174.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
174.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
171.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
170.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
170.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
167.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
167.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
163.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
163.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
163.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
161.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
160.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
160.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
160.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
158.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
158.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
157.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
157.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
157.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
157.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
157.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
154.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
153.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
151.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
150.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
149.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
146.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
146.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
146.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
146.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
145.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
145.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
144.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
144.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
144.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
143.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
142.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
141.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
141.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
140.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
140.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
140.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
139.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
139.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
138.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
137.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
137.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
137.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
136.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
135.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
134.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
134.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
134.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
133.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
132.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
131.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
131.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
130.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
130.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
129.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
128.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
127.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
127.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
127.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
127.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
126.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
126.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
126.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
125.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
125.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
124.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
124.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
123.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
123.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
122.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
122.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
121.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
121.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
120.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
120.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
119.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
119.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
118.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
117.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
117.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
117.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
117.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
117.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
116.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
115.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
114.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
114.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
113.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
113.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
112.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
112.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
112.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
112.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
111.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
111.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
111.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
111.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
111.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
110.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
110.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
110.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
109.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
109.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
109.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
108.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
108.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
107.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
107.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
107.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
107.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
106.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
106.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
106.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
105.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
105.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
105.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
105.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
104.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
104.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
104.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
104.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
103.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
102.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
102.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
102.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
101.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
101.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
100.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
100.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
100.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
99.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
99.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
99.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
99.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
99.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
99.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
99.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
99.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
99.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
98.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
98.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
98.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
98.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
97.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
97.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
97.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
97.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
97.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
96.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
96.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
96.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
95.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
95.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
95.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
95.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
95.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
95.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
94.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
94.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
94.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
94.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
94.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
94.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
94.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
94.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
93.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
93.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
93.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
93.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
93.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
93.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
92.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
92.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
92.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
92.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
92.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
91.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
91.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
90.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
90.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
90.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
90.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
90.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
90.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
90.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
89.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
89.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
88.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
88.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
88.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
88.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
88.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
88.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
88.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
88.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
88.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
88.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
87.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
87.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
87.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
86.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
86.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
86.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
86.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
86.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
85.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
85.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
85.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
85.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
85.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
85.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
85.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
84.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
84.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
84.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
84.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
84.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
84.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
84.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
84.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
83.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
83.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
83.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
83.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
83.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
83.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
83.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
83.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
82.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
82.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
82.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
82.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
82.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
81.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
81.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
81.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
81.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
81.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
80.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
80.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
80.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
80.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
80.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
80.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
79.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
79.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
79.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
79.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
79.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
79.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
79.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
79.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
78.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
78.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
78.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
78.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
78.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
78.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
77.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
77.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
77.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
77.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
77.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
77.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
77.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
77.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
76.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
76.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
76.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
76.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
76.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
75.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
75.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
75.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
75.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
75.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
75.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
75.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
75.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
75.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
74.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
74.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
74.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
74.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
74.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
73.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
73.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
73.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
73.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
73.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
73.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
73.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
72.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
72.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
72.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
71.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
71.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
71.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
71.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
71.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
71.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
71.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
71.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
70.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
70.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
70.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
70.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
70.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
69.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
69.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
69.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
69.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
69.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
69.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
69.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
69.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
69.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
69.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
68.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
68.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
68.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
68.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
68.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
67.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
67.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
67.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
67.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
67.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
67.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
67.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
67.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
67.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
66.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
66.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
66.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
66.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
66.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
66.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
66.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
65.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
65.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
65.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
65.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
65.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
65.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
65.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
65.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
64.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
64.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
64.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
64.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
63.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
63.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
63.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
63.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
63.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
63.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
62.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
62.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
62.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
62.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
61.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
61.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
61.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
61.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
60.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
60.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
60.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
60.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
60.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
59.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
59.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
58.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
58.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
58.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
58.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
58.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
58.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
58.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
58.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
57.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
57.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
57.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
57.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
57.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
56.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
56.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
56.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
56.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
55.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
55.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
55.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
55.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
55.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
54.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
54.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
53.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
53.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
52.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
52.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
51.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
50.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
50.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
48.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
48.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
47.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
47.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
46.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
45.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
39.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.5
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.
DNAJB1 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
122.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1139.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
684.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
331.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
210.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
206.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
188.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
186.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
173.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
157.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
153.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
152.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
142.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
136.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
130.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
127.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
127.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
125.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
124.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
124.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
124.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
123.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
122.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
121.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
121.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
121.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
118.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
118.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
118.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
117.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
116.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
115.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
115.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
115.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
112.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
111.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
111.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
109.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
109.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
109.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
108.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
106.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
106.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
105.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
104.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
104.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
102.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
101.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
100.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
99.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
97.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
96.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
95.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
95.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
91.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
90.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
90.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
89.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
86.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
82.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
81.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
79.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
77.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
76.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
75.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
75.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
73.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
72.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
70.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
70.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
69.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
69.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
69.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
66.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
66.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
64.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
63.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
63.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
63.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
60.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
59.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
57.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
55.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
55.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
55.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
50.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
47.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
44.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
DNAJB1 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
107.7
Number of samples
207
Samples
Sample
Description
TPM
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
567.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
498.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
444.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
438.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
341.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
319.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
270.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
263.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
260.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
252.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
223.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
222.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
211.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
208.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
207.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
202.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
179.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
174.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
171.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
170.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
170.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
152.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
152.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
152.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
149.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
148.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
147.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
146.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
145.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
145.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
143.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
139.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
137.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
137.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
136.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
133.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
131.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
131.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
128.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
126.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
126.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
125.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
125.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
125.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
125.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
125.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
124.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
122.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
122.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
122.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
120.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
120.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
119.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
117.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
115.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
114.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
114.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
114.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
113.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
113.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
113.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
112.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
112.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
111.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
110.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
110.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
109.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
109.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
109.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
107.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
106.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
106.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
106.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
105.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
105.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
105.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
104.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
104.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
103.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
103.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
102.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
102.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
101.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
101.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
100.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
98.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
97.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
96.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
96.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
96.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
95.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
94.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
94.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
93.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
92.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
92.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
92.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
92.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
92.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
92.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
91.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
91.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
89.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
88.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
88.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
88.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
88.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
87.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
86.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
85.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
85.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
84.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
84.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
83.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
83.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
82.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
82.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
81.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
80.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
79.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
79.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
79.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
79.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
79.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
79.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
79.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
78.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
78.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
76.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
76.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
76.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
76.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
75.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
75.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
75.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
75.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
75.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
75.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
75.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
75.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
75.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
74.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
74.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
74.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
73.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
73.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
73.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
72.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
72.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
72.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
72.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
71.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
71.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
71.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
70.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
69.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
69.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
68.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
68.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
68.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
68.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
68.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
68.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
67.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
67.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
67.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
66.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
66.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
65.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
63.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
63.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
62.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
60.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
60.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
59.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
59.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
58.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
57.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
57.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
56.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
55.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
55.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
54.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
54.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
53.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
53.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
52.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
52.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
50.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
50.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
49.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
49.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
48.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
46.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
44.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
42.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
42.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
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
