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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.
BCL2L1 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
86.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
325.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
288.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
279.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
235.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
200.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
189.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
188.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
176.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
175.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
171.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
170.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
166.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
164.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
164.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
161.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
161.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
157.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
156.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
152.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
152.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
152.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
146.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
145.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
144.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
143.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
143.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
142.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
142.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
136.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
135.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
133.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
133.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
132.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
129.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
128.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
127.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
127.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
127.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
127.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
126.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
125.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
125.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
123.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
122.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
122.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
122.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
121.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
119.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
119.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
118.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
118.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
117.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
117.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
117.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
117.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
116.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
116.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
116.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
116.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
115.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
113.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
112.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
112.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
111.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
111.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
111.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
111.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
110.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
109.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
109.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
108.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
108.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
108.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
107.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
106.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
105.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
105.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
105.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
103.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
102.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
100.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
100.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
98.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
97.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
95.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
95.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
95.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
94.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
94.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
94.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
93.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
92.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
91.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
91.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
90.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
90.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
90.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
89.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
88.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
87.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
87.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
86.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
86.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
86.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
86.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
85.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
84.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
84.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
83.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
83.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
83.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
82.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
82.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
81.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
81.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
81.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
80.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
79.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
79.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
78.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
78.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
77.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
77.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
77.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
77.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
75.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
74.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
74.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
73.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
73.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
73.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
73.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
73.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
72.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
71.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
71.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
71.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
70.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
70.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
70.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
69.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
69.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
68.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
67.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
67.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
67.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
66.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
66.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
66.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
66.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
65.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
64.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
63.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
63.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
63.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
63.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
62.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
62.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
62.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
62.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
62.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
61.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
61.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
60.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
60.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
59.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
59.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
59.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
58.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
58.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
58.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
58.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
58.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
57.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
57.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
56.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
56.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
56.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
56.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
56.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
56.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
55.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
55.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
55.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
54.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
54.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
54.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
54.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
53.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
53.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
53.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
52.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
52.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
52.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
51.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
51.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
51.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
50.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
50.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
50.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
49.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
49.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
49.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
48.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
48.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
47.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
47.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
47.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
47.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
46.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
46.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
46.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
46.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
45.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
45.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
45.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
44.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
44.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
44.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
44.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
44.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
43.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
43.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
42.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
42.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
42.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
41.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
41.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
41.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
41.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
40.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
40.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
40.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
40.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
39.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
39.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
38.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
37.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
37.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
36.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
35.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
35.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
33.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
31.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
30.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
29.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
28.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
28.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
22.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
22.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
BCL2L1 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
73.9
Number of samples
486
Samples
Sample
Description
TPM
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
310.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
254.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
240.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
226.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
185.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
181.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
173.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
165.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
157.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
156.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
152.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
150.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
144.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
142.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
141.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
138.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
137.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
136.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
136.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
133.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
133.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
132.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
131.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
130.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
129.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
127.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
126.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
124.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
123.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
122.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
122.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
122.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
122.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
121.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
121.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
121.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
120.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
119.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
119.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
118.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
118.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
117.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
116.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
115.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
114.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
114.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
113.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
113.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
113.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
113.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
112.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
111.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
111.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
109.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
108.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
108.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
106.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
106.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
106.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
105.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
105.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
105.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
105.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
104.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
104.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
103.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
103.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
103.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
102.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
102.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
102.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
101.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
99.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
99.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
99.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
99.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
98.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
98.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
97.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
97.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
97.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
97.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
97.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
96.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
96.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
95.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
95.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
95.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
95.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
94.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
94.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
94.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
94.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
94.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
93.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
93.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
92.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
92.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
92.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
92.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
92.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
91.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
91.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
91.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
91.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
90.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
90.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
90.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
89.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
89.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
89.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
89.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
89.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
88.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
88.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
88.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
87.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
87.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
87.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
87.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
87.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
87.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
86.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
86.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
86.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
86.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
86.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
85.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
85.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
85.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
85.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
85.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
84.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
84.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
84.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
84.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
84.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
84.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
84.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
83.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
83.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
83.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
82.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
82.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
82.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
82.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
82.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
82.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
82.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
82.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
82.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
81.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
80.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
80.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
80.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
80.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
80.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
80.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
80.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
80.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
79.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
79.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
79.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
79.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
78.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
78.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
78.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
78.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
78.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
77.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
77.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
77.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
77.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
77.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
76.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
76.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
76.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
76.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
76.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
76.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
76.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
76.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
76.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
75.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
75.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
75.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
75.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
75.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
74.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
74.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
74.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
74.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
74.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
74.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
74.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
74.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
73.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
73.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
73.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
73.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
73.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
73.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
73.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
73.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
73.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
73.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
72.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
72.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
72.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
72.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
72.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
72.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
72.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
71.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
71.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
71.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
71.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
71.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
71.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
71.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
71.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
70.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
70.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
70.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
70.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
69.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
69.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
69.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
69.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
69.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
69.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
68.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
68.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
68.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
68.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
68.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
68.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
68.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
68.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
68.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
68.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
67.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
67.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
67.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
67.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
67.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
67.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
67.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
67.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
67.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
67.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
67.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
67.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
66.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
66.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
66.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
66.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
65.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
65.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
65.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
65.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
65.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
65.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
65.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
65.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
64.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
64.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
64.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
64.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
64.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
64.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
64.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
63.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
63.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
63.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
63.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
63.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
62.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
62.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
62.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
62.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
62.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
61.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
61.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
61.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
61.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
61.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
61.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
61.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
61.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
61.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
61.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
60.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
60.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
60.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
60.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
60.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
60.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
60.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
60.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
60.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
60.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
60.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
60.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
60.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
59.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
59.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
59.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
59.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
59.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
59.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
59.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
59.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
59.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
59.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
59.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
58.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
58.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
57.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
57.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
57.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
57.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
57.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
56.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
56.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
56.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
56.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
56.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
56.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
56.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
55.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
55.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
55.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
55.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
55.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
55.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
55.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
55.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
54.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
54.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
54.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
54.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
54.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
54.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
53.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
53.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
53.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
53.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
53.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
53.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
53.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
52.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
52.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
52.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
52.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
52.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
52.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
51.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
51.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
51.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
51.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
51.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
51.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
51.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
51.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
51.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
50.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
50.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
49.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
49.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
49.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
49.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
49.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
48.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
48.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
48.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
48.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
48.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
47.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
47.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
47.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
47.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
47.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
47.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
47.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
47.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
47.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
46.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
46.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
46.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
46.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
45.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
45.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
45.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
45.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
44.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
44.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
44.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
44.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
43.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
43.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
42.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
42.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
42.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
41.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
41.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
41.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
41.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
41.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
41.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
40.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
40.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
40.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
40.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
40.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
39.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
39.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
39.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
39.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
39.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
38.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
38.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
37.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
37.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
36.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
36.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
36.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
35.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
35.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
35.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
34.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
34.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
34.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
33.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
33.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
32.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
32.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
32.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
31.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
29.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
29.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
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.
BCL2L1 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
89.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
195.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
192.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
182.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
180.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
171.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
150.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
137.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
137.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
136.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
131.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
130.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
128.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
128.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
126.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
124.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
115.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
115.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
114.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
113.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
112.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
111.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
110.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
110.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
109.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
109.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
109.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
107.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
105.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
103.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
100.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
100.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
99.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
99.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
98.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
96.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
96.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
93.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
93.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
92.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
90.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
89.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
88.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
87.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
87.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
86.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
85.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
85.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
84.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
82.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
81.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
80.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
79.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
79.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
78.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
77.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
77.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
76.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
75.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
75.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
73.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
72.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
71.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
71.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
70.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
69.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
67.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
65.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
61.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
60.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
54.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
54.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
54.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
52.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
50.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
47.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
46.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
45.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
45.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
44.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
44.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
44.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
40.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
35.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
28.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
28.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
27.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
25.8
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.
BCL2L1 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
74.2
Number of samples
207
Samples
Sample
Description
TPM
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
274.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
235.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
178.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
167.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
156.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
148.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
137.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
137.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
135.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
134.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
127.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
127.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
127.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
126.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
121.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
121.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
121.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
120.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
118.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
116.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
116.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
114.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
113.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
112.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
110.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
110.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
108.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
103.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
101.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
101.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
101.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
100.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
99.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
99.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
99.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
96.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
96.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
96.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
95.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
95.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
95.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
92.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
92.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
92.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
91.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
91.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
91.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
90.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
90.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
89.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
89.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
89.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
89.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
87.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
86.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
86.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
86.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
86.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
85.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
85.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
85.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
84.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
84.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
83.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
83.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
83.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
83.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
82.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
82.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
82.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
82.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
82.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
81.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
81.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
81.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
79.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
79.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
79.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
78.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
78.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
78.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
78.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
78.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
77.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
76.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
76.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
76.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
75.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
75.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
75.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
75.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
74.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
72.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
72.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
72.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
72.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
70.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
70.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
70.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
69.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
69.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
69.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
68.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
68.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
68.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
67.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
67.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
67.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
66.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
65.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
65.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
64.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
64.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
64.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
64.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
63.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
63.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
63.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
62.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
62.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
61.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
61.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
61.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
61.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
61.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
60.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
60.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
60.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
60.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
59.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
59.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
59.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
58.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
58.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
57.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
57.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
56.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
56.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
55.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
55.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
54.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
54.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
53.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
53.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
53.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
52.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
51.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
51.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
50.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
50.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
50.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
50.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
49.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
49.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
48.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
48.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
48.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
48.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
48.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
47.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
47.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
46.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
46.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
46.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
45.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
45.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
44.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
43.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
43.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
41.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
40.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
39.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
39.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
38.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
37.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
37.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
35.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
34.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
32.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
31.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
31.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
28.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
26.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
1.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
1.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
1.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
1.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.9
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.9
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.9
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.8
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.8
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.8
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.8
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.8
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.8
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.9
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.9
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.9
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.9
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-1.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-1.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-1.3
b2400046-1d25-429d-a821-6040a6
Tumor
-1.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.7
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-2.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-2.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
