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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.
SERPING1 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
71.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
468.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
379.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
356.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
348.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
338.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
303.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
278.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
241.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
239.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
231.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
231.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
216.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
213.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
213.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
211.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
207.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
196.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
193.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
185.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
183.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
182.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
179.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
174.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
173.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
171.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
167.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
165.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
163.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
156.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
153.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
152.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
152.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
151.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
150.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
147.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
146.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
143.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
142.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
140.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
137.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
136.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
129.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
128.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
125.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
125.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
122.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
122.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
119.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
118.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
116.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
115.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
109.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
108.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
107.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
106.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
105.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
105.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
104.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
103.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
102.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
101.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
99.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
99.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
97.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
95.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
95.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
94.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
93.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
93.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
91.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
91.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
90.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
88.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
87.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
86.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
85.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
85.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
84.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
82.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
81.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
81.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
81.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
80.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
78.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
78.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
77.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
76.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
75.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
75.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
74.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
74.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
73.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
73.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
72.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
72.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
72.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
72.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
71.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
70.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
70.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
69.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
68.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
68.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
66.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
65.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
65.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
65.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
63.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
62.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
61.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
61.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
61.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
57.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
57.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
56.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
56.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
55.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
54.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
54.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
54.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
52.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
52.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
52.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
51.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
50.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
50.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
47.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
45.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
44.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
44.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
43.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
43.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
43.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
42.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
42.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
42.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
41.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
41.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
40.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
38.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
38.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
38.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
38.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
38.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
36.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
35.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
34.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
34.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
34.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
34.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
33.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
33.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
33.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
31.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
31.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
31.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
31.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
29.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
28.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
28.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
28.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
27.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
27.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
27.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
27.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
26.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
25.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
23.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
23.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
23.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
23.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
23.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
23.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
23.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
22.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
22.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
21.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
21.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
20.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
18.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
18.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
17.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
17.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
17.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
17.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
17.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
17.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
16.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
16.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
16.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
16.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
16.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
15.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
15.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
15.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
14.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
14.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
13.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
13.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
13.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
13.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
13.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
13.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
12.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
12.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
12.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
12.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
11.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
11.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
11.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
10.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
10.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
9.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
9.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
9.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
9.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
9.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
9.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
8.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
8.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
7.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
7.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
7.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
7.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
6.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
6.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
6.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
6.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
5.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
5.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
2.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
SERPING1 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
59.6
Number of samples
486
Samples
Sample
Description
TPM
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
238.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
230.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
214.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
212.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
197.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
195.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
192.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
170.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
168.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
167.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
162.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
160.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
160.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
155.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
155.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
153.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
144.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
144.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
144.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
141.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
141.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
139.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
138.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
138.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
137.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
136.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
136.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
133.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
132.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
132.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
131.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
129.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
129.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
127.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
127.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
123.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
123.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
122.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
121.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
120.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
120.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
120.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
119.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
119.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
116.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
114.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
113.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
113.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
112.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
112.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
111.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
111.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
109.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
109.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
109.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
109.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
108.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
107.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
107.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
107.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
106.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
106.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
106.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
106.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
106.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
103.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
102.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
100.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
99.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
99.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
98.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
97.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
97.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
96.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
96.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
95.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
95.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
95.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
95.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
94.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
94.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
94.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
94.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
94.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
93.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
93.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
93.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
92.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
92.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
90.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
90.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
90.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
89.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
89.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
89.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
89.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
88.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
88.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
88.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
88.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
86.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
86.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
86.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
85.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
85.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
85.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
84.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
84.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
84.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
83.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
83.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
83.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
82.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
82.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
82.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
82.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
80.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
80.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
80.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
80.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
79.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
79.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
79.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
77.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
77.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
77.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
77.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
77.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
76.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
76.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
76.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
76.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
76.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
75.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
75.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
75.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
75.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
75.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
75.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
75.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
74.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
74.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
74.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
74.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
74.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
74.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
73.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
73.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
73.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
72.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
72.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
71.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
71.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
71.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
71.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
71.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
71.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
71.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
70.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
70.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
70.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
70.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
70.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
70.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
69.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
69.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
68.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
67.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
67.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
67.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
67.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
66.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
66.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
66.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
66.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
65.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
65.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
65.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
65.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
65.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
65.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
65.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
64.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
64.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
64.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
64.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
63.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
63.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
63.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
63.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
63.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
63.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
62.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
62.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
62.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
62.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
61.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
61.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
61.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
60.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
60.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
60.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
60.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
59.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
59.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
58.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
58.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
58.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
58.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
58.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
57.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
57.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
57.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
57.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
57.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
56.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
56.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
56.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
56.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
56.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
56.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
55.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
55.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
55.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
55.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
55.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
54.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
54.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
54.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
54.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
53.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
53.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
53.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
52.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
52.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
52.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
52.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
51.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
51.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
51.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
50.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
49.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
49.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
49.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
49.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
49.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
48.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
48.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
48.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
48.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
48.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
47.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
47.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
46.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
46.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
46.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
46.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
46.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
46.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
46.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
45.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
45.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
45.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
45.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
45.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
45.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
45.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
45.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
45.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
44.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
44.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
43.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
43.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
42.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
42.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
42.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
42.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
41.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
41.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
41.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
40.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
40.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
40.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
40.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
39.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
39.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
39.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
39.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
39.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
38.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
38.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
38.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
37.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
37.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
37.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
37.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
37.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
37.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
36.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
36.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
36.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
36.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
35.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
35.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
35.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
35.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
34.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
34.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
34.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
34.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
34.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
34.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
34.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
34.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
33.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
33.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
33.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
33.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
33.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
32.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
32.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
32.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
32.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
31.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
31.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
31.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
31.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
31.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
30.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
30.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
30.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
30.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
30.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
30.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
29.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
29.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
29.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
29.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
29.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
28.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
28.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
28.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
28.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
28.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
28.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
27.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
27.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
27.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
26.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
26.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
26.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
26.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
26.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
26.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
26.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
25.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
25.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
25.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
25.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
25.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
24.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
24.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
24.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
24.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
24.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
23.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
22.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
22.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
22.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
22.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
21.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
20.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
20.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
20.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
19.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
19.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
19.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
19.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
19.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
19.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
19.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
19.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
18.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
18.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
18.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
18.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
18.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
18.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
18.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
17.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
17.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
17.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
17.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
17.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
17.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
17.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
17.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
16.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
16.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
16.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
16.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
16.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
16.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
15.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
15.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
15.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
15.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
15.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
15.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
14.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
14.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
13.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
13.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
13.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
12.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
12.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
12.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
11.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
11.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
11.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
11.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
11.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
11.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
11.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
11.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
10.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
10.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
10.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
10.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
10.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
9.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
9.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
9.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
9.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
8.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
8.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
8.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
7.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
7.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
7.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
7.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
7.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
6.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
5.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
5.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
4.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
4.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
3.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
3.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 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.
SERPING1 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
71.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
349.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
307.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
257.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
254.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
254.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
235.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
227.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
183.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
159.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
158.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
154.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
143.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
142.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
130.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
128.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
112.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
110.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
100.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
99.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
97.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
90.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
90.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
82.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
78.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
77.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
75.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
75.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
74.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
73.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
71.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
71.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
70.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
69.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
66.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
59.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
58.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
57.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
56.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
55.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
53.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
52.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
48.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
43.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
43.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
43.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
42.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
41.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
40.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
39.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
38.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
36.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
35.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
34.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
33.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
31.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
31.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
28.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
28.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
26.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
26.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
26.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
26.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
24.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
24.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
24.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
23.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
23.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
23.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
18.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
18.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
17.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
14.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
13.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
12.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
12.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
11.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
9.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
9.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
9.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
4.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
3.0
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.
SERPING1 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
56.6
Number of samples
207
Samples
Sample
Description
TPM
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
227.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
203.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
192.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
188.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
175.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
163.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
157.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
156.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
155.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
150.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
148.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
140.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
132.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
129.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
125.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
125.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
125.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
123.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
123.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
122.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
120.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
116.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
113.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
113.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
113.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
113.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
109.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
108.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
108.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
105.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
103.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
100.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
99.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
98.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
93.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
92.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
90.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
89.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
88.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
88.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
87.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
87.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
85.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
84.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
83.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
82.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
79.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
79.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
78.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
78.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
77.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
77.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
76.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
75.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
74.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
74.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
71.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
69.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
68.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
68.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
67.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
67.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
65.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
65.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
65.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
62.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
62.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
61.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
60.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
59.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
57.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
57.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
57.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
56.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
55.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
54.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
53.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
52.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
52.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
52.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
52.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
52.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
51.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
49.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
49.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
48.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
48.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
46.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
46.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
45.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
45.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
45.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
45.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
44.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
44.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
43.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
43.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
42.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
42.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
42.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
40.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
39.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
38.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
36.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
36.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
36.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
36.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
35.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
35.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
34.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
34.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
33.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
32.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
31.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
31.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
31.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
30.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
30.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
30.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
29.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
29.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
28.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
28.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
28.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
28.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
27.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
27.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
26.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
26.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
26.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
25.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
25.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
25.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
25.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
25.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
24.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
24.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
23.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
23.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
23.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
22.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
22.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
21.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
21.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
21.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
21.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
21.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
21.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
20.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
20.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
20.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
20.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
19.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
19.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
17.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
17.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
16.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
16.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
16.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
15.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
15.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
15.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
15.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
14.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
13.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
12.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
12.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
10.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
9.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
9.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
9.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
8.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
8.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
7.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
6.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
3.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
3.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
1.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
1.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
1.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
1.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
1.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
1.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
1.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
1.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
1.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.9
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.9
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.9
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.8
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
82157a70-12f1-4913-b548-d98881_D2
Normal
0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.8
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.8
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.9
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.4
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
