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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.
SEC61A1 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
125.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
251.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
250.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
233.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
216.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
215.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
208.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
200.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
199.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
199.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
198.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
192.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
187.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
187.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
185.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
185.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
183.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
181.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
180.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
178.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
177.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
174.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
173.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
173.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
172.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
171.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
171.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
170.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
170.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
170.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
170.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
170.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
168.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
167.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
167.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
166.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
165.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
164.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
164.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
164.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
164.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
162.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
162.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
162.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
162.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
160.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
160.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
160.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
158.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
157.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
157.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
156.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
156.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
156.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
156.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
154.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
154.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
154.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
153.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
153.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
153.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
151.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
151.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
150.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
150.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
150.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
149.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
147.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
147.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
147.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
146.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
145.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
145.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
145.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
144.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
143.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
143.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
143.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
143.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
142.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
142.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
141.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
139.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
139.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
138.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
138.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
138.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
137.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
137.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
136.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
136.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
136.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
136.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
135.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
135.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
135.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
135.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
135.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
135.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
135.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
134.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
134.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
133.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
133.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
132.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
132.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
131.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
131.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
131.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
131.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
131.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
131.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
130.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
130.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
130.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
130.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
129.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
129.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
128.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
128.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
128.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
128.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
128.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
127.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
125.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
125.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
124.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
124.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
124.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
123.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
123.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
123.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
123.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
122.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
122.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
122.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
122.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
121.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
121.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
120.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
120.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
120.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
118.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
118.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
118.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
117.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
117.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
117.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
116.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
116.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
116.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
115.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
115.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
115.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
112.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
112.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
112.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
111.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
111.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
111.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
111.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
111.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
111.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
110.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
110.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
110.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
109.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
109.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
108.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
108.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
108.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
108.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
108.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
107.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
107.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
106.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
106.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
106.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
105.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
104.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
103.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
103.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
103.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
103.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
103.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
103.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
103.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
102.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
102.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
101.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
101.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
100.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
100.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
99.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
98.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
98.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
98.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
98.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
97.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
97.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
97.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
97.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
97.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
96.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
95.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
95.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
94.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
93.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
93.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
89.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
89.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
88.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
88.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
87.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
87.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
86.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
86.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
86.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
86.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
85.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
85.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
85.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
84.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
84.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
83.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
83.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
82.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
82.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
81.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
79.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
79.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
76.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
75.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
74.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
74.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
74.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
73.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
72.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
72.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
71.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
70.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
68.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
67.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
66.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
64.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
63.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
63.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
62.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
60.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
54.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
52.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
52.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
51.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
48.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
SEC61A1 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
185.6
Number of samples
486
Samples
Sample
Description
TPM
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
413.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
407.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
401.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
374.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
353.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
353.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
349.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
346.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
341.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
340.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
339.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
317.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
314.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
312.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
310.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
297.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
297.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
297.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
291.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
287.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
287.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
286.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
285.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
282.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
278.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
277.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
276.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
274.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
273.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
273.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
272.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
271.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
269.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
269.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
268.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
267.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
267.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
267.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
265.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
263.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
261.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
261.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
259.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
258.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
254.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
252.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
251.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
250.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
249.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
245.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
244.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
243.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
243.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
242.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
241.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
241.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
240.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
240.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
240.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
238.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
237.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
236.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
235.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
235.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
235.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
233.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
232.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
232.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
232.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
232.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
231.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
230.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
230.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
230.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
229.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
229.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
229.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
228.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
228.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
227.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
227.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
226.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
226.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
226.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
225.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
225.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
223.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
223.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
222.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
222.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
221.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
221.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
221.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
221.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
221.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
220.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
219.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
219.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
219.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
219.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
218.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
218.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
217.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
217.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
217.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
217.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
217.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
217.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
216.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
216.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
216.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
216.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
215.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
215.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
215.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
215.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
214.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
214.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
214.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
214.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
214.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
213.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
212.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
212.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
211.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
211.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
210.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
210.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
210.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
210.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
210.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
209.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
209.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
209.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
209.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
209.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
208.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
208.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
208.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
208.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
207.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
207.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
207.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
206.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
206.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
206.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
206.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
206.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
205.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
205.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
205.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
205.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
205.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
204.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
204.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
203.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
203.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
203.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
203.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
202.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
202.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
202.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
200.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
200.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
199.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
199.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
199.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
199.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
199.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
198.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
197.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
197.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
197.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
196.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
196.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
196.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
196.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
195.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
195.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
195.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
194.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
194.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
194.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
194.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
194.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
194.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
193.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
193.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
192.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
192.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
192.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
192.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
192.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
192.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
192.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
192.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
191.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
190.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
189.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
189.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
189.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
189.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
188.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
188.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
188.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
187.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
187.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
187.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
186.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
186.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
185.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
184.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
184.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
184.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
184.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
183.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
183.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
183.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
183.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
183.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
183.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
183.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
182.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
182.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
182.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
182.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
182.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
181.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
181.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
181.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
181.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
181.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
180.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
180.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
180.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
180.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
180.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
179.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
179.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
179.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
179.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
178.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
178.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
178.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
178.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
177.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
177.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
177.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
177.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
176.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
176.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
176.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
176.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
176.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
175.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
175.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
175.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
174.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
174.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
173.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
173.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
173.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
173.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
173.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
173.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
173.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
173.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
173.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
173.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
173.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
173.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
172.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
171.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
171.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
171.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
171.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
171.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
171.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
170.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
170.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
170.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
170.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
170.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
170.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
169.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
169.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
168.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
168.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
167.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
167.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
167.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
167.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
167.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
167.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
167.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
166.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
166.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
166.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
165.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
165.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
165.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
165.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
164.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
164.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
164.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
164.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
164.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
164.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
164.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
164.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
164.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
164.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
164.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
163.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
163.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
163.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
163.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
163.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
162.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
162.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
162.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
162.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
161.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
161.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
161.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
161.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
160.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
160.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
160.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
160.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
160.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
160.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
159.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
159.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
159.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
159.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
159.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
158.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
157.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
157.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
157.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
157.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
157.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
157.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
157.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
156.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
156.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
156.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
156.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
155.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
155.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
155.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
155.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
155.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
155.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
154.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
153.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
153.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
153.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
153.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
153.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
153.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
152.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
152.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
151.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
151.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
151.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
151.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
150.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
149.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
148.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
148.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
148.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
147.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
147.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
147.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
147.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
146.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
146.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
146.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
145.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
145.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
144.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
143.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
143.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
143.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
142.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
142.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
141.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
141.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
141.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
141.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
141.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
141.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
140.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
139.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
139.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
139.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
139.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
139.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
139.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
139.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
138.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
138.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
138.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
137.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
137.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
137.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
137.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
137.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
137.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
137.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
137.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
136.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
136.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
136.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
136.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
136.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
136.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
135.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
135.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
135.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
135.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
135.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
134.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
134.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
134.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
133.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
133.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
132.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
132.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
132.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
132.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
131.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
131.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
131.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
131.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
130.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
130.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
130.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
130.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
128.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
128.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
128.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
128.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
128.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
127.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
127.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
127.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
127.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
125.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
124.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
123.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
123.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
121.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
121.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
120.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
118.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
118.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
117.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
117.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
117.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
115.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
115.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
115.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
112.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
110.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
109.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
109.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
108.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
108.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
105.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
105.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
104.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
101.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
98.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
96.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
96.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
95.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
93.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
89.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
86.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
85.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
64.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.6
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.
SEC61A1 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
120.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
230.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
207.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
183.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
175.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
174.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
170.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
169.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
163.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
161.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
161.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
160.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
156.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
156.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
156.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
155.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
152.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
149.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
148.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
147.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
146.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
146.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
145.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
143.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
143.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
142.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
141.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
140.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
138.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
137.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
137.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
136.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
136.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
135.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
135.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
134.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
133.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
132.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
131.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
130.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
128.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
128.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
127.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
126.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
122.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
122.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
119.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
118.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
117.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
116.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
115.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
114.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
113.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
113.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
112.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
112.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
111.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
110.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
110.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
109.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
108.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
106.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
104.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
104.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
103.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
103.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
103.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
102.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
101.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
98.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
94.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
93.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
92.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
90.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
90.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
86.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
83.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
81.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
80.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
79.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
77.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
73.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
59.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
52.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
42.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
33.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SEC61A1 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
168.9
Number of samples
207
Samples
Sample
Description
TPM
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
308.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
305.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
278.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
272.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
271.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
255.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
251.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
243.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
239.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
238.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
235.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
234.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
230.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
229.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
227.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
227.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
224.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
224.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
222.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
220.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
219.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
217.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
217.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
217.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
215.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
215.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
210.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
209.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
209.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
209.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
209.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
208.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
208.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
207.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
204.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
203.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
203.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
202.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
202.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
200.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
197.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
196.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
196.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
195.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
193.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
193.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
192.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
192.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
191.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
191.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
190.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
190.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
189.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
187.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
187.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
187.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
187.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
187.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
186.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
186.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
186.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
185.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
185.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
185.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
184.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
184.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
182.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
182.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
181.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
180.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
179.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
178.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
178.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
177.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
177.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
177.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
176.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
176.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
175.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
175.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
175.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
175.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
174.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
174.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
173.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
171.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
171.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
171.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
171.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
169.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
168.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
168.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
168.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
168.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
168.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
166.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
166.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
166.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
165.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
165.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
165.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
165.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
164.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
164.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
163.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
163.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
163.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
163.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
162.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
162.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
162.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
162.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
161.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
161.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
161.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
159.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
159.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
159.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
159.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
158.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
158.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
157.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
157.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
157.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
156.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
156.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
155.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
155.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
155.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
155.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
154.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
154.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
153.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
153.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
152.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
152.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
152.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
152.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
152.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
152.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
151.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
151.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
151.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
150.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
150.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
149.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
148.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
148.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
148.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
146.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
146.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
146.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
146.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
145.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
145.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
144.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
144.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
144.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
144.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
144.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
142.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
142.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
142.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
142.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
141.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
140.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
140.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
139.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
138.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
138.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
134.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
133.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
132.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
131.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
131.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
130.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
130.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
130.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
129.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
129.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
126.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
125.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
125.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
124.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
123.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
123.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
123.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
123.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
122.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
122.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
120.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
120.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
119.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
116.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
116.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
114.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
113.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
112.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
110.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
107.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
106.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
102.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
101.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
95.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
95.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
92.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.9
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
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Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
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Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.