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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.
SERPINH1 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
131.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
757.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
435.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
404.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
385.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
380.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
348.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
320.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
297.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
279.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
271.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
269.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
253.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
250.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
247.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
243.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
239.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
239.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
236.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
234.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
234.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
232.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
230.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
229.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
225.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
224.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
223.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
217.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
210.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
210.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
208.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
208.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
207.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
204.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
200.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
200.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
198.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
197.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
194.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
191.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
189.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
188.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
185.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
182.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
180.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
177.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
175.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
175.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
175.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
174.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
173.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
171.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
170.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
169.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
167.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
166.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
165.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
163.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
162.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
160.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
159.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
158.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
158.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
157.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
156.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
155.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
153.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
152.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
151.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
148.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
147.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
147.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
147.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
147.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
145.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
144.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
143.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
143.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
142.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
142.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
140.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
140.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
139.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
139.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
138.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
138.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
138.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
133.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
133.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
132.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
132.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
132.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
131.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
130.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
130.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
130.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
129.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
128.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
128.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
127.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
127.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
125.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
125.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
125.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
124.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
124.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
123.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
123.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
123.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
123.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
121.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
120.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
119.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
118.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
118.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
118.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
118.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
118.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
118.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
117.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
117.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
117.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
117.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
116.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
115.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
115.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
114.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
114.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
114.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
114.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
114.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
113.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
113.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
113.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
111.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
111.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
111.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
110.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
110.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
110.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
110.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
109.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
108.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
108.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
107.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
107.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
106.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
106.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
105.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
104.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
103.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
103.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
102.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
101.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
101.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
100.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
100.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
100.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
99.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
99.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
98.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
97.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
96.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
95.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
95.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
95.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
95.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
94.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
94.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
94.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
94.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
93.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
93.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
93.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
92.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
92.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
92.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
92.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
92.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
92.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
91.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
90.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
90.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
89.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
88.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
88.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
87.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
86.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
86.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
86.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
85.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
84.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
84.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
84.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
82.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
82.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
82.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
81.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
81.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
81.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
81.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
80.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
80.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
80.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
78.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
78.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
78.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
76.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
76.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
76.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
75.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
75.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
74.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
73.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
73.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
71.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
70.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
70.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
70.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
69.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
69.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
68.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
68.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
67.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
67.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
66.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
66.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
65.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
65.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
65.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
62.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
59.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
58.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
58.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
56.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
56.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
56.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
55.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
55.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
54.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
54.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
54.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
51.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
50.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
50.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
49.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
46.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
45.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
44.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
44.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
43.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
42.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
38.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
SERPINH1 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
119.7
Number of samples
486
Samples
Sample
Description
TPM
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
454.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
446.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
415.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
387.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
378.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
323.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
322.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
311.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
301.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
300.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
292.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
290.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
284.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
279.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
268.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
261.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
259.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
256.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
252.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
249.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
242.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
241.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
239.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
238.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
236.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
230.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
226.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
226.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
226.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
225.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
224.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
222.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
220.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
220.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
218.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
217.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
213.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
208.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
206.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
205.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
202.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
200.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
200.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
200.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
199.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
198.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
196.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
195.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
192.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
191.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
190.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
189.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
189.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
189.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
189.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
189.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
188.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
186.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
185.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
182.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
181.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
181.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
179.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
178.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
178.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
177.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
177.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
176.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
173.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
171.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
171.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
171.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
171.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
171.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
169.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
169.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
169.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
168.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
168.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
167.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
167.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
166.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
166.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
165.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
165.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
164.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
163.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
162.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
161.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
161.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
160.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
160.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
160.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
159.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
158.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
158.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
157.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
157.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
156.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
156.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
156.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
155.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
154.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
154.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
153.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
152.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
152.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
152.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
150.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
148.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
148.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
148.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
147.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
147.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
146.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
146.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
146.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
145.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
145.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
145.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
144.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
144.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
143.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
143.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
143.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
143.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
141.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
141.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
141.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
141.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
140.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
140.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
140.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
140.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
140.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
140.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
140.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
139.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
139.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
139.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
138.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
138.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
138.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
136.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
136.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
135.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
134.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
134.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
133.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
133.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
133.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
132.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
131.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
131.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
131.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
131.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
131.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
131.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
131.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
130.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
129.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
129.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
129.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
128.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
128.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
128.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
128.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
127.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
126.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
126.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
126.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
125.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
125.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
125.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
125.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
125.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
125.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
125.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
125.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
124.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
123.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
123.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
123.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
123.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
123.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
122.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
122.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
122.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
122.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
121.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
121.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
121.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
120.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
120.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
119.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
119.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
119.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
119.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
119.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
119.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
119.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
118.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
118.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
118.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
118.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
118.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
117.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
117.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
117.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
117.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
116.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
116.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
116.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
115.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
115.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
115.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
115.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
114.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
114.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
114.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
114.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
114.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
113.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
113.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
113.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
113.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
113.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
113.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
112.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
112.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
112.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
112.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
112.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
112.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
111.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
111.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
111.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
111.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
110.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
110.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
110.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
110.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
109.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
109.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
109.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
109.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
108.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
108.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
108.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
106.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
105.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
105.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
105.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
105.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
104.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
104.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
104.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
104.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
104.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
103.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
103.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
103.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
102.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
102.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
102.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
101.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
101.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
101.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
101.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
101.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
101.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
101.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
100.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
99.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
99.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
99.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
99.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
99.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
98.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
98.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
98.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
98.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
98.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
97.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
97.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
97.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
97.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
97.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
96.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
96.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
96.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
96.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
94.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
94.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
94.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
93.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
93.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
93.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
93.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
93.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
93.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
93.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
93.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
92.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
92.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
91.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
91.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
90.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
90.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
90.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
89.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
89.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
89.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
89.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
89.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
89.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
88.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
88.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
88.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
87.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
87.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
87.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
86.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
86.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
86.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
86.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
86.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
86.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
86.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
86.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
85.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
85.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
85.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
85.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
85.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
85.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
84.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
84.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
83.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
83.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
83.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
83.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
82.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
82.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
82.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
82.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
82.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
82.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
81.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
81.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
81.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
81.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
81.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
80.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
80.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
80.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
79.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
79.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
79.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
79.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
78.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
78.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
78.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
77.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
77.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
77.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
76.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
76.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
76.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
75.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
75.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
75.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
75.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
74.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
74.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
74.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
74.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
74.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
74.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
74.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
73.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
72.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
72.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
72.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
72.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
71.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
71.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
71.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
70.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
70.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
70.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
69.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
69.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
69.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
69.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
69.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
68.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
68.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
68.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
68.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
68.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
68.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
68.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
68.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
66.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
66.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
66.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
66.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
65.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
65.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
65.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
65.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
65.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
65.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
65.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
64.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
64.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
64.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
64.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
64.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
64.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
63.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
63.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
62.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
62.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
62.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
60.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
60.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
60.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
60.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
59.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
59.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
59.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
58.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
58.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
58.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
57.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
57.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
56.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
56.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
56.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
55.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
55.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
55.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
53.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
52.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
52.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
52.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
51.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
49.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
49.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
49.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
48.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
48.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
48.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
47.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
47.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
46.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
45.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
45.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
44.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
43.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
40.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
40.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
40.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
39.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
36.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
27.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SERPINH1 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
130.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
708.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
375.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
369.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
279.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
234.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
234.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
227.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
219.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
213.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
202.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
199.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
197.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
196.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
195.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
192.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
192.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
183.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
182.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
176.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
174.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
174.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
159.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
156.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
155.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
145.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
142.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
141.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
139.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
136.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
136.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
131.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
129.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
129.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
129.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
125.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
125.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
124.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
121.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
118.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
118.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
116.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
114.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
114.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
113.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
109.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
108.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
107.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
107.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
102.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
102.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
99.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
99.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
98.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
97.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
96.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
93.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
93.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
92.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
90.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
89.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
87.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
83.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
82.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
82.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
81.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
81.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
79.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
78.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
75.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
74.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
74.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
74.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
74.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
71.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
68.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
67.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
65.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
63.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
52.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
49.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
48.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
46.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
42.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
38.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
38.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
36.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
32.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
SERPINH1 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
108.9
Number of samples
207
Samples
Sample
Description
TPM
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
360.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
335.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
314.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
308.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
289.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
233.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
220.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
219.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
216.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
202.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
197.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
195.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
195.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
193.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
190.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
190.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
189.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
185.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
183.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
182.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
178.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
175.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
174.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
174.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
170.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
170.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
168.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
168.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
166.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
164.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
162.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
161.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
160.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
158.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
156.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
155.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
153.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
152.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
150.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
149.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
146.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
145.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
145.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
143.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
142.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
140.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
140.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
139.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
138.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
138.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
135.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
135.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
134.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
133.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
132.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
132.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
130.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
128.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
126.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
124.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
123.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
123.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
122.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
121.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
121.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
120.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
119.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
119.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
119.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
117.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
116.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
116.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
115.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
114.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
113.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
112.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
112.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
112.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
110.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
110.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
110.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
109.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
109.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
108.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
108.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
107.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
107.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
107.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
106.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
106.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
106.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
105.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
105.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
105.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
102.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
102.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
102.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
101.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
99.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
98.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
97.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
97.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
96.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
96.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
96.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
95.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
95.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
95.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
95.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
94.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
94.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
93.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
93.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
93.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
92.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
92.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
89.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
89.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
88.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
88.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
87.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
87.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
87.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
86.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
85.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
84.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
84.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
84.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
83.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
83.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
82.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
82.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
82.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
82.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
81.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
80.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
80.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
80.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
80.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
80.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
79.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
78.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
78.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
77.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
76.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
75.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
75.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
75.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
74.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
74.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
73.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
73.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
73.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
73.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
72.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
72.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
72.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
72.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
71.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
70.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
70.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
69.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
68.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
67.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
66.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
65.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
65.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
64.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
64.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
63.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
62.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
62.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
62.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
60.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
60.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
60.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
60.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
60.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
59.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
57.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
56.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
54.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
54.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
53.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
53.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
53.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
51.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
51.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
50.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
46.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
42.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
41.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
40.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
35.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
34.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
31.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.9
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.8
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.7
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.7
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.7
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.8
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.8
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.8
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.8
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.8
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.9
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.9
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.9
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.9
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.9
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.9
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.3
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
