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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.
PHB1 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
100.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
416.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
290.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
264.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
214.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
188.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
179.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
179.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
178.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
177.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
172.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
171.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
171.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
170.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
169.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
165.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
161.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
154.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
153.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
151.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
150.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
149.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
149.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
148.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
148.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
147.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
146.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
146.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
145.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
143.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
140.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
138.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
138.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
137.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
137.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
137.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
136.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
136.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
135.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
135.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
133.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
133.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
132.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
131.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
130.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
130.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
130.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
129.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
129.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
127.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
126.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
126.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
126.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
124.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
123.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
123.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
122.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
121.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
121.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
121.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
120.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
120.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
119.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
119.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
117.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
116.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
115.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
114.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
114.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
114.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
113.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
113.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
113.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
113.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
113.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
113.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
113.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
112.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
112.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
112.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
111.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
111.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
111.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
110.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
110.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
109.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
109.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
109.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
108.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
107.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
107.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
107.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
106.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
105.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
105.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
105.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
103.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
103.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
102.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
102.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
102.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
101.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
101.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
101.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
100.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
99.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
99.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
99.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
98.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
97.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
97.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
97.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
97.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
97.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
97.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
96.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
96.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
96.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
96.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
96.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
96.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
95.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
95.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
95.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
95.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
95.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
95.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
95.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
94.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
93.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
93.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
92.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
92.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
92.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
92.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
92.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
91.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
91.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
91.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
91.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
91.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
90.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
90.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
89.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
89.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
89.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
88.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
87.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
87.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
86.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
86.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
86.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
86.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
85.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
85.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
84.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
84.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
84.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
84.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
83.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
82.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
82.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
82.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
81.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
81.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
81.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
81.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
81.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
80.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
80.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
80.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
80.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
80.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
80.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
79.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
79.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
79.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
79.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
79.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
78.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
78.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
78.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
78.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
78.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
78.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
77.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
77.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
77.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
77.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
76.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
76.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
76.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
76.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
75.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
75.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
75.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
75.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
75.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
74.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
74.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
72.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
71.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
70.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
70.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
70.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
69.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
68.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
68.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
68.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
67.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
66.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
66.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
65.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
65.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
64.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
64.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
64.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
63.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
63.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
63.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
63.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
62.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
61.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
61.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
61.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
60.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
59.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
59.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
58.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
57.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
56.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
56.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
56.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
55.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
53.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
52.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
51.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
50.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
49.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
48.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
48.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
48.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
47.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
47.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
47.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
40.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
36.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
30.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
26.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
24.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
PHB1 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
80.3
Number of samples
486
Samples
Sample
Description
TPM
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
203.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
177.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
168.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
149.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
148.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
145.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
144.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
144.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
143.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
142.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
138.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
133.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
131.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
131.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
130.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
130.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
129.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
129.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
126.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
125.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
124.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
124.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
123.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
123.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
122.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
122.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
121.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
121.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
120.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
120.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
119.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
118.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
118.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
117.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
117.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
116.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
116.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
116.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
115.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
115.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
115.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
114.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
114.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
113.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
113.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
113.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
112.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
111.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
111.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
111.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
110.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
110.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
110.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
110.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
109.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
109.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
109.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
109.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
108.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
108.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
108.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
108.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
108.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
107.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
107.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
107.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
107.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
106.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
106.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
106.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
106.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
105.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
105.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
105.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
105.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
104.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
104.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
104.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
103.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
103.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
103.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
103.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
103.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
102.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
102.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
101.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
100.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
100.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
99.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
99.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
99.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
99.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
99.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
99.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
98.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
98.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
98.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
98.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
98.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
98.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
98.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
98.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
98.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
98.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
98.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
98.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
97.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
97.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
97.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
97.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
97.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
96.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
96.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
96.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
96.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
96.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
96.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
96.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
96.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
96.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
96.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
95.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
95.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
95.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
95.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
94.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
94.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
94.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
94.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
94.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
93.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
93.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
93.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
92.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
92.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
92.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
92.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
92.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
92.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
92.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
91.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
91.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
91.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
91.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
91.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
90.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
90.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
90.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
90.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
90.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
90.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
90.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
90.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
89.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
89.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
89.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
89.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
89.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
89.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
89.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
88.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
88.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
88.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
88.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
88.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
88.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
88.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
88.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
87.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
87.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
87.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
87.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
87.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
87.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
87.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
86.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
86.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
86.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
86.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
86.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
86.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
86.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
85.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
85.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
85.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
85.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
85.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
85.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
84.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
84.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
84.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
84.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
84.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
84.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
84.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
84.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
84.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
84.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
84.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
84.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
84.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
83.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
83.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
83.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
83.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
83.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
83.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
83.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
83.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
83.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
82.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
82.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
82.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
82.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
82.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
82.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
82.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
81.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
81.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
81.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
81.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
80.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
80.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
80.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
79.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
79.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
79.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
79.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
79.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
78.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
78.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
78.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
78.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
78.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
78.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
77.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
77.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
77.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
77.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
77.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
77.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
77.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
77.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
77.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
77.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
77.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
77.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
77.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
77.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
77.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
77.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
76.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
76.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
76.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
76.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
76.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
76.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
76.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
76.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
75.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
75.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
75.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
75.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
75.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
75.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
75.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
75.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
74.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
74.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
74.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
74.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
74.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
74.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
74.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
74.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
74.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
74.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
74.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
74.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
73.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
73.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
73.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
73.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
73.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
72.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
72.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
72.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
72.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
72.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
72.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
72.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
72.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
72.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
71.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
71.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
71.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
71.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
71.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
71.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
71.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
70.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
70.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
70.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
70.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
70.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
69.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
69.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
69.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
69.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
69.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
69.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
69.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
69.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
68.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
68.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
68.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
68.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
68.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
68.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
67.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
67.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
67.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
67.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
67.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
67.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
67.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
67.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
66.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
66.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
66.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
66.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
66.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
66.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
66.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
66.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
65.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
65.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
65.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
65.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
65.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
65.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
65.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
65.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
65.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
65.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
64.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
64.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
64.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
64.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
64.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
63.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
63.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
63.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
63.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
63.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
62.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
62.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
62.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
62.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
62.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
62.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
61.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
61.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
61.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
61.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
61.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
61.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
61.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
61.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
61.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
61.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
61.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
60.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
60.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
60.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
59.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
59.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
59.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
59.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
58.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
58.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
58.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
58.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
58.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
57.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
57.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
57.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
57.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
56.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
56.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
56.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
56.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
56.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
56.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
55.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
55.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
55.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
55.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
55.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
55.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
55.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
55.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
55.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
55.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
54.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
54.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
54.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
54.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
53.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
53.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
53.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
53.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
52.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
52.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
52.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
52.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
51.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
51.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
51.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
51.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
50.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
50.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
50.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
49.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
49.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
49.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
48.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
48.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
48.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
47.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
47.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
47.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
47.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
46.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
46.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
45.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
45.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
44.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
44.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
43.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
41.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
41.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
40.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
40.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
38.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
36.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
36.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
33.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
33.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
32.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.2
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.
PHB1 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
92.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
283.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
199.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
196.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
170.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
159.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
157.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
147.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
144.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
137.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
135.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
134.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
134.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
126.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
125.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
125.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
123.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
123.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
122.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
116.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
115.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
112.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
111.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
109.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
108.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
108.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
107.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
107.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
105.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
105.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
102.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
101.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
101.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
100.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
97.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
97.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
96.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
96.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
95.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
93.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
91.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
90.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
89.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
89.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
87.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
87.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
86.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
85.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
84.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
83.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
82.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
80.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
78.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
75.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
74.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
74.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
71.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
71.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
70.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
70.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
69.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
63.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
63.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
62.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
62.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
62.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
62.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
61.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
60.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
58.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
58.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
58.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
57.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
55.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
54.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
53.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
53.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
51.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
51.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
50.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
48.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
44.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
43.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
42.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
40.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
39.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
37.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
36.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 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.
PHB1 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
73.0
Number of samples
207
Samples
Sample
Description
TPM
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
162.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
158.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
155.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
141.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
132.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
131.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
131.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
121.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
117.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
116.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
109.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
108.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
107.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
106.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
105.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
105.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
104.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
103.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
103.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
103.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
101.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
101.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
100.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
96.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
96.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
95.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
95.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
94.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
92.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
92.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
92.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
91.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
91.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
91.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
91.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
90.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
90.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
90.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
90.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
89.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
89.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
88.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
88.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
88.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
88.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
87.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
87.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
87.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
87.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
86.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
86.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
86.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
85.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
84.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
84.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
84.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
83.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
83.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
82.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
82.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
82.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
82.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
81.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
81.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
81.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
80.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
80.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
80.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
80.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
80.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
79.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
79.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
79.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
79.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
78.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
78.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
77.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
77.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
76.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
76.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
76.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
76.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
76.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
76.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
75.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
75.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
75.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
75.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
75.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
74.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
74.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
73.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
73.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
72.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
72.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
72.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
72.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
72.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
71.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
71.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
71.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
71.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
70.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
70.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
69.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
69.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
69.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
69.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
69.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
69.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
68.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
67.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
67.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
67.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
66.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
66.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
66.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
66.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
66.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
65.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
65.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
65.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
65.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
65.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
65.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
65.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
64.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
64.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
64.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
63.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
63.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
62.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
62.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
62.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
62.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
62.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
62.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
62.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
61.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
61.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
61.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
60.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
60.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
60.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
59.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
58.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
58.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
58.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
58.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
57.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
57.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
56.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
56.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
55.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
55.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
55.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
55.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
55.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
55.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
55.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
55.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
54.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
54.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
53.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
53.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
53.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
52.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
52.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
51.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
51.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
51.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
51.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
51.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
51.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
51.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
50.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
49.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
48.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
48.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
47.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
47.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
46.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
46.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
45.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
45.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
45.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
45.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
44.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
43.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
43.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
43.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
37.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
32.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
27.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
