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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.
PABPN1 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
89.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
193.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
169.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
162.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
158.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
151.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
144.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
143.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
142.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
141.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
140.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
136.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
136.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
135.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
135.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
134.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
129.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
129.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
129.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
128.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
127.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
127.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
125.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
124.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
123.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
123.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
122.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
122.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
121.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
121.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
120.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
119.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
118.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
118.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
118.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
117.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
116.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
116.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
115.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
115.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
114.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
113.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
113.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
113.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
113.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
113.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
113.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
112.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
112.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
112.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
112.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
112.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
111.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
111.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
111.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
111.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
111.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
110.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
110.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
110.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
110.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
109.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
108.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
108.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
107.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
107.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
106.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
105.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
105.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
104.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
104.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
103.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
102.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
101.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
101.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
101.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
100.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
100.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
99.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
99.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
99.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
99.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
99.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
98.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
98.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
98.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
98.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
98.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
97.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
97.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
97.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
96.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
96.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
96.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
96.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
95.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
95.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
95.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
95.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
95.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
94.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
94.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
94.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
93.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
93.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
93.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
93.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
93.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
92.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
92.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
92.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
91.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
91.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
91.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
90.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
90.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
90.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
89.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
89.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
89.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
89.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
89.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
88.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
88.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
88.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
88.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
88.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
88.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
88.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
87.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
86.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
86.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
86.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
86.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
86.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
86.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
85.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
85.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
85.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
85.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
85.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
85.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
84.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
84.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
84.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
84.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
84.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
84.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
83.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
83.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
83.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
83.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
83.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
82.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
82.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
82.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
82.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
81.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
81.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
81.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
81.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
81.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
80.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
80.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
80.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
79.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
79.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
79.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
78.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
78.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
78.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
78.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
78.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
77.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
77.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
77.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
76.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
76.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
76.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
75.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
75.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
75.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
75.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
74.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
74.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
73.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
72.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
72.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
71.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
71.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
71.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
71.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
71.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
70.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
70.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
69.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
69.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
68.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
67.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
67.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
67.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
67.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
66.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
66.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
66.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
65.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
64.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
64.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
63.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
63.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
63.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
63.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
62.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
62.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
62.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
61.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
61.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
61.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
61.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
60.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
60.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
59.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
59.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
59.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
59.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
59.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
58.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
58.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
57.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
57.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
57.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
57.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
57.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
56.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
55.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
53.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
53.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
53.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
52.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
51.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
51.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
50.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
49.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
49.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
48.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
47.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
46.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
41.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
41.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
41.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
40.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
39.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
37.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 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.
PABPN1 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
159.2
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
520.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
332.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
315.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
288.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
275.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
274.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
268.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
265.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
256.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
252.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
244.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
239.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
237.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
233.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
233.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
232.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
232.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
230.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
224.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
221.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
221.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
220.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
220.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
219.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
219.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
218.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
218.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
217.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
216.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
215.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
215.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
214.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
214.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
213.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
213.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
213.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
212.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
212.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
212.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
212.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
210.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
210.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
209.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
208.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
208.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
207.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
206.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
206.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
206.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
206.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
205.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
204.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
204.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
204.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
204.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
203.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
203.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
202.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
202.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
202.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
201.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
201.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
201.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
201.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
200.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
200.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
200.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
200.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
200.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
199.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
199.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
199.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
199.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
198.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
197.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
197.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
196.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
195.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
195.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
194.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
194.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
193.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
193.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
193.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
192.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
192.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
192.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
192.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
192.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
191.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
191.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
190.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
189.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
189.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
189.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
189.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
188.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
188.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
188.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
188.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
187.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
187.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
187.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
186.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
185.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
185.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
185.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
184.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
184.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
183.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
183.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
183.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
183.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
183.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
182.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
182.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
181.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
181.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
181.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
180.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
180.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
180.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
179.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
179.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
179.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
178.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
178.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
178.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
178.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
177.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
177.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
177.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
176.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
176.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
176.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
176.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
176.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
176.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
176.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
175.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
175.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
174.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
174.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
174.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
174.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
174.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
173.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
173.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
173.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
172.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
172.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
171.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
171.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
170.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
170.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
170.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
170.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
169.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
169.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
169.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
169.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
169.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
169.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
168.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
168.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
168.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
168.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
168.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
168.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
168.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
167.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
167.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
167.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
166.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
166.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
166.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
166.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
166.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
165.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
165.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
165.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
165.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
164.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
164.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
164.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
164.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
163.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
163.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
163.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
163.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
163.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
163.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
162.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
162.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
162.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
162.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
162.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
161.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
161.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
161.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
160.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
160.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
160.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
160.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
160.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
160.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
160.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
159.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
159.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
159.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
159.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
159.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
159.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
159.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
159.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
159.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
158.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
158.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
158.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
158.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
158.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
158.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
157.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
157.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
157.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
157.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
157.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
157.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
157.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
157.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
157.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
156.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
156.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
156.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
156.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
156.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
156.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
155.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
155.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
155.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
155.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
155.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
155.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
155.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
154.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
154.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
154.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
154.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
154.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
154.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
154.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
154.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
154.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
153.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
153.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
152.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
152.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
152.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
152.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
151.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
151.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
151.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
151.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
151.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
150.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
150.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
150.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
150.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
149.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
149.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
149.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
149.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
149.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
149.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
149.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
148.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
148.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
148.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
148.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
148.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
148.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
148.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
148.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
147.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
147.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
147.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
147.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
147.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
146.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
146.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
146.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
146.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
146.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
146.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
145.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
145.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
144.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
144.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
144.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
144.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
144.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
144.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
144.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
144.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
144.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
144.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
144.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
143.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
143.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
143.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
143.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
143.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
143.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
143.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
142.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
142.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
142.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
141.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
141.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
140.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
140.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
140.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
140.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
140.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
140.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
140.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
140.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
140.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
139.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
139.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
139.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
139.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
139.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
139.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
139.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
139.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
138.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
138.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
138.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
138.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
138.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
138.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
138.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
138.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
138.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
137.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
137.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
137.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
137.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
137.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
137.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
136.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
136.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
136.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
136.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
136.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
135.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
135.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
135.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
135.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
135.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
134.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
134.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
134.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
134.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
134.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
133.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
133.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
133.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
133.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
132.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
132.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
132.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
131.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
131.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
131.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
131.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
131.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
131.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
131.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
130.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
130.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
130.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
130.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
130.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
130.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
129.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
129.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
128.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
128.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
128.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
127.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
127.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
127.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
127.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
127.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
127.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
126.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
126.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
126.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
126.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
126.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
126.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
126.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
126.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
125.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
125.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
125.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
124.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
124.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
124.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
124.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
123.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
123.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
123.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
123.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
123.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
122.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
122.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
122.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
122.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
121.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
121.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
121.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
121.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
121.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
120.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
120.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
119.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
119.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
119.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
119.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
119.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
119.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
118.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
118.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
118.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
117.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
116.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
116.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
116.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
115.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
115.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
115.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
115.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
113.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
113.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
113.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
113.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
112.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
112.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
112.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
111.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
110.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
110.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
110.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
110.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
109.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
109.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
109.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
108.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
108.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
107.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
107.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
107.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
106.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
105.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
104.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
104.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
103.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
102.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
100.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
100.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
98.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
98.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
95.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
92.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
92.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
92.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
91.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
89.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
87.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
79.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
78.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.5
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.
PABPN1 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
83.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
200.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
153.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
129.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
122.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
119.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
118.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
115.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
114.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
112.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
111.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
110.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
109.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
109.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
108.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
106.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
101.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
101.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
99.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
98.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
98.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
97.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
97.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
96.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
96.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
95.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
95.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
95.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
94.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
93.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
92.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
91.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
91.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
90.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
90.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
89.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
88.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
88.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
86.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
85.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
85.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
84.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
83.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
83.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
81.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
81.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
81.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
80.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
79.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
78.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
78.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
77.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
77.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
77.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
76.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
73.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
71.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
71.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
71.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
71.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
70.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
70.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
69.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
69.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
69.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
67.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
65.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
65.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
65.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
62.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
61.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
61.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
61.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
61.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
60.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
60.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
60.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
60.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
59.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
58.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
56.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
54.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
53.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
52.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
49.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
42.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
41.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PABPN1 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
156.9
Number of samples
207
Samples
Sample
Description
TPM
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
280.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
263.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
261.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
260.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
253.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
253.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
243.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
239.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
237.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
236.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
229.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
228.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
225.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
224.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
221.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
219.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
217.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
208.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
208.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
207.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
204.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
202.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
202.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
201.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
198.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
197.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
197.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
196.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
194.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
194.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
192.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
191.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
190.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
189.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
189.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
188.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
188.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
186.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
185.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
184.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
183.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
183.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
183.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
182.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
182.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
182.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
181.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
181.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
180.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
179.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
179.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
179.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
179.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
178.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
176.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
175.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
175.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
173.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
173.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
172.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
171.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
171.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
171.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
170.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
169.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
169.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
168.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
167.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
166.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
166.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
166.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
166.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
166.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
166.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
166.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
164.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
164.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
164.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
164.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
163.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
163.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
163.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
162.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
162.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
162.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
161.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
161.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
161.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
161.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
160.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
158.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
158.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
158.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
158.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
158.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
156.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
156.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
155.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
155.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
154.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
153.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
153.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
152.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
152.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
152.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
151.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
151.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
151.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
151.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
151.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
150.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
150.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
150.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
150.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
149.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
149.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
148.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
148.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
148.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
147.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
147.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
146.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
146.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
145.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
145.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
145.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
144.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
143.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
143.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
143.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
143.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
143.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
142.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
142.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
141.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
141.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
140.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
139.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
139.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
139.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
139.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
139.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
137.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
137.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
136.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
136.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
136.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
136.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
135.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
135.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
134.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
133.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
133.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
133.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
132.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
131.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
130.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
129.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
129.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
128.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
128.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
128.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
127.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
126.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
125.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
124.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
123.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
123.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
122.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
122.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
120.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
120.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
118.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
118.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
118.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
117.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
117.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
116.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
116.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
116.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
116.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
116.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
115.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
115.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
114.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
113.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
113.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
113.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
113.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
110.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
110.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
108.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
108.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
107.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
105.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
104.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
101.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
101.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
99.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
99.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
97.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
95.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
94.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
93.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
91.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
84.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
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Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
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Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
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Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
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
