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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.
BAX 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
128.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
315.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
305.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
298.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
287.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
268.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
264.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
258.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
254.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
247.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
236.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
234.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
224.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
221.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
219.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
218.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
210.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
208.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
206.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
206.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
198.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
197.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
196.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
196.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
196.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
194.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
191.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
190.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
188.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
187.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
186.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
184.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
183.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
180.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
179.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
179.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
178.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
178.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
178.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
177.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
177.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
173.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
173.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
172.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
171.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
170.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
169.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
169.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
166.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
166.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
166.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
163.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
163.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
163.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
162.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
160.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
160.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
159.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
159.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
159.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
157.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
157.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
156.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
155.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
154.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
154.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
152.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
152.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
152.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
152.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
151.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
150.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
150.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
149.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
148.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
147.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
147.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
146.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
146.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
145.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
145.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
145.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
144.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
144.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
142.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
142.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
141.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
141.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
140.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
140.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
139.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
138.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
138.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
137.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
136.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
136.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
136.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
136.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
136.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
136.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
135.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
135.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
135.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
134.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
133.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
133.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
133.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
132.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
132.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
132.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
131.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
131.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
129.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
129.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
129.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
128.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
127.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
126.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
125.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
125.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
125.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
124.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
124.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
124.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
124.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
123.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
122.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
121.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
121.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
121.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
119.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
119.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
119.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
118.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
118.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
116.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
116.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
116.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
116.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
115.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
114.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
114.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
113.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
113.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
113.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
112.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
112.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
111.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
111.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
110.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
110.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
109.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
109.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
108.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
108.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
108.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
108.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
108.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
107.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
107.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
106.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
106.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
106.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
106.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
105.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
105.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
104.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
104.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
103.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
103.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
103.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
103.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
102.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
101.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
101.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
100.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
100.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
100.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
99.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
99.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
99.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
99.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
98.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
98.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
98.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
97.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
97.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
96.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
96.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
96.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
95.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
94.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
94.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
94.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
93.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
93.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
93.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
93.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
92.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
92.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
92.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
92.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
91.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
91.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
91.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
90.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
90.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
90.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
90.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
89.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
89.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
88.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
87.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
86.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
85.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
85.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
85.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
84.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
84.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
84.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
82.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
82.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
80.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
80.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
79.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
77.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
76.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
75.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
75.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
73.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
73.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
73.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
72.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
71.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
71.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
70.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
68.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
68.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
68.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
68.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
67.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
67.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
53.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
52.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
48.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
48.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
46.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
40.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
39.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
33.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
33.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
31.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
31.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 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.
BAX 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
36.7
Number of samples
486
Samples
Sample
Description
TPM
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
95.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
90.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
84.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
83.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
81.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
81.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
81.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
80.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
77.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
77.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
74.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
71.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
70.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
69.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
69.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
68.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
67.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
67.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
66.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
66.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
66.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
66.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
64.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
63.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
63.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
62.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
62.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
62.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
61.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
61.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
61.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
60.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
59.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
59.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
59.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
59.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
58.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
58.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
58.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
58.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
57.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
57.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
57.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
56.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
56.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
56.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
56.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
55.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
55.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
54.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
54.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
54.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
54.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
53.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
53.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
53.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
53.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
53.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
53.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
53.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
53.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
53.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
52.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
52.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
51.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
51.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
51.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
50.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
50.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
50.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
50.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
50.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
49.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
49.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
49.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
49.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
49.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
48.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
48.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
48.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
48.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
48.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
48.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
47.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
47.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
47.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
46.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
46.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
46.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
46.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
45.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
45.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
45.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
45.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
45.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
45.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
45.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
45.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
45.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
45.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
45.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
45.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
44.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
44.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
44.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
44.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
44.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
44.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
43.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
43.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
43.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
43.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
43.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
43.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
43.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
43.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
43.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
43.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
42.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
42.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
41.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
41.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
41.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
41.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
40.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
40.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
40.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
40.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
40.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
40.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
40.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
40.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
40.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
40.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
40.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
40.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
40.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
39.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
39.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
39.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
39.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
39.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
38.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
38.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
38.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
38.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
38.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
38.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
38.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
38.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
38.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
38.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
38.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
37.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
37.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
37.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
37.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
37.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
37.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
37.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
37.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
37.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
37.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
36.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
36.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
36.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
36.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
36.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
36.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
36.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
36.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
35.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
35.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
35.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
35.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
35.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
35.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
35.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
35.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
35.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
35.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
35.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
35.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
34.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
34.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
34.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
34.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
34.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
34.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
34.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
34.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
34.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
34.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
33.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
33.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
33.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
33.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
33.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
33.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
33.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
33.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
33.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
33.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
33.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
33.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
33.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
33.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
33.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
33.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
33.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
33.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
33.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
33.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
33.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
33.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
33.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
32.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
32.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
32.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
32.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
32.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
32.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
32.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
32.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
32.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
32.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
32.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
32.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
32.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
32.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
32.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
32.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
32.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
31.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
31.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
31.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
31.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
31.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
31.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
31.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
31.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
31.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
31.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
31.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
31.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
31.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
30.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
30.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
30.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
30.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
30.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
30.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
30.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
30.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
29.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
29.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
29.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
29.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
29.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
29.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
29.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
29.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
29.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
29.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
29.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
29.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
29.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
29.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
29.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
28.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
28.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
28.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
28.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
28.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
28.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
28.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
28.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
28.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
28.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
28.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
28.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
28.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
28.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
27.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
27.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
27.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
27.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
27.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
27.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
27.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
27.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
27.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
27.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
27.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
27.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
27.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
27.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
27.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
26.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
26.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
26.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
26.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
26.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
26.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
26.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
26.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
26.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
26.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
26.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
26.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
26.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
26.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
25.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
25.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
25.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
25.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
25.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
25.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
25.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
25.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
25.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
25.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
25.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
25.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
25.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
25.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
24.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
24.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
24.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
24.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
24.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
24.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
24.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
24.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
24.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
24.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
24.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
24.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
24.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
24.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
24.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
23.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
23.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
23.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
23.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
23.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
23.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
23.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
23.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
23.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
23.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
23.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
23.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
22.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
22.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
22.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
22.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
22.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
22.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
21.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
21.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
21.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
21.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
21.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
21.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
21.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
20.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
20.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
20.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
20.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
20.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
20.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
20.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
20.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
20.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
20.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
20.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
20.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
19.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
19.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
19.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
19.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
19.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
19.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
19.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
19.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
19.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
18.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
18.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
18.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
18.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
18.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
18.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
17.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
17.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
17.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
17.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
17.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
17.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
17.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
17.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
16.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
16.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
15.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
15.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
15.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
13.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
9.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.1
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.
BAX 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
107.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
290.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
270.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
240.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
205.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
180.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
172.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
162.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
157.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
146.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
143.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
141.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
141.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
138.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
137.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
137.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
135.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
132.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
130.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
130.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
129.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
129.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
129.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
127.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
127.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
123.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
123.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
122.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
122.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
120.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
116.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
116.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
115.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
113.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
113.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
113.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
111.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
109.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
109.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
109.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
107.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
105.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
104.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
103.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
103.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
99.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
96.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
95.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
94.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
94.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
94.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
93.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
93.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
91.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
89.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
89.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
89.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
88.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
87.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
86.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
85.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
83.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
81.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
81.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
81.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
79.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
79.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
79.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
78.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
76.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
75.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
75.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
75.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
74.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
73.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
72.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
72.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
71.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
67.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
66.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
63.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
59.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
58.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
57.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
57.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
49.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
45.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
40.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
BAX 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
36.4
Number of samples
207
Samples
Sample
Description
TPM
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
113.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
104.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
104.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
97.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
88.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
84.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
79.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
76.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
75.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
73.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
72.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
70.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
68.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
64.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
62.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
61.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
58.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
57.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
56.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
56.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
56.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
55.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
54.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
53.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
52.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
52.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
51.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
50.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
50.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
48.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
47.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
46.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
46.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
45.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
45.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
45.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
44.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
44.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
43.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
42.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
42.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
42.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
42.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
42.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
41.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
41.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
41.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
40.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
40.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
40.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
39.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
39.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
39.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
38.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
38.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
38.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
38.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
38.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
37.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
37.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
37.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
36.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
36.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
35.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
35.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
35.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
34.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
34.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
34.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
34.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
33.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
33.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
33.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
32.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
32.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
32.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
32.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
32.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
32.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
32.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
32.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
31.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
31.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
31.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
31.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
30.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
30.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
30.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
30.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
30.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
30.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
29.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
29.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
29.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
29.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
29.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
29.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
29.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
28.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
28.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
28.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
28.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
28.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
28.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
28.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
28.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
28.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
27.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
27.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
27.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
27.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
27.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
27.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
27.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
27.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
27.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
27.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
26.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
26.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
26.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
26.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
25.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
25.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
25.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
25.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
25.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
25.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
24.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
24.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
24.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
24.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
24.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
24.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
23.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
23.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
23.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
23.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
23.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
23.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
23.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
23.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
23.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
22.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
22.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
22.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
22.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
22.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
22.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
21.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
21.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
21.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
21.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
21.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
20.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
20.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
20.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
19.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
19.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
19.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
19.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
19.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
18.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
18.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
18.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
18.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
18.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
17.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
16.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
15.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
15.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
14.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
13.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
12.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
11.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
8.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
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Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
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Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
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Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
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Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
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
