We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
THOC7 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
87.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
164.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
160.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
157.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
157.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
149.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
149.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
147.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
143.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
140.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
140.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
138.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
138.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
138.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
137.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
133.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
132.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
131.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
129.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
127.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
127.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
126.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
124.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
122.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
122.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
121.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
121.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
121.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
120.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
119.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
118.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
118.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
117.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
116.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
113.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
113.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
113.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
113.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
112.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
112.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
111.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
111.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
111.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
110.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
108.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
108.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
108.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
107.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
107.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
107.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
107.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
107.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
106.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
106.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
106.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
106.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
106.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
106.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
105.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
104.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
104.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
102.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
100.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
100.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
100.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
99.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
99.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
98.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
98.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
98.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
98.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
97.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
97.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
97.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
97.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
96.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
96.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
95.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
95.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
95.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
95.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
95.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
94.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
93.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
93.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
93.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
93.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
93.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
92.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
92.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
92.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
92.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
92.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
91.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
91.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
91.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
91.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
90.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
89.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
89.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
89.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
89.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
89.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
89.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
89.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
88.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
88.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
87.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
87.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
87.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
86.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
86.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
86.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
86.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
85.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
85.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
85.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
85.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
84.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
84.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
84.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
84.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
84.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
84.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
83.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
83.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
83.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
83.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
83.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
83.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
83.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
83.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
83.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
82.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
82.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
81.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
81.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
81.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
81.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
81.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
81.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
81.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
81.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
80.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
80.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
80.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
80.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
80.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
80.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
80.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
79.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
79.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
79.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
78.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
78.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
77.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
77.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
77.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
77.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
76.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
76.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
76.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
76.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
76.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
76.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
75.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
75.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
75.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
75.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
75.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
74.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
74.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
74.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
73.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
73.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
73.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
73.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
73.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
73.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
73.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
72.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
72.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
71.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
71.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
71.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
71.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
70.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
70.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
70.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
70.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
70.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
69.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
69.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
69.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
69.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
69.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
68.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
68.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
68.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
68.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
68.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
68.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
68.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
67.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
67.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
66.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
66.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
66.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
65.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
65.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
65.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
65.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
64.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
64.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
64.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
64.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
63.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
63.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
62.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
62.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
62.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
61.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
59.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
59.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
59.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
58.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
58.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
57.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
57.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
57.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
57.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
56.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
56.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
56.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
55.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
54.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
53.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
52.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
50.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
50.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
50.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
49.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
48.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
48.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
47.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
47.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
45.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
45.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
43.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
42.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
40.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
37.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
THOC7 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
55.1
Number of samples
486
Samples
Sample
Description
TPM
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
127.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
108.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
103.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
99.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
99.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
95.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
91.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
90.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
90.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
89.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
88.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
87.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
87.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
86.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
86.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
86.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
86.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
84.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
84.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
84.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
82.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
82.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
82.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
79.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
78.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
78.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
78.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
77.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
77.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
77.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
77.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
77.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
76.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
75.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
75.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
75.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
75.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
75.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
74.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
74.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
74.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
74.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
74.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
74.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
73.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
73.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
73.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
72.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
72.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
72.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
72.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
72.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
72.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
72.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
71.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
71.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
70.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
70.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
70.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
70.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
70.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
70.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
70.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
70.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
69.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
69.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
69.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
69.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
69.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
69.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
69.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
69.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
68.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
68.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
68.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
68.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
68.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
68.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
68.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
68.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
67.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
67.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
67.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
67.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
67.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
67.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
67.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
66.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
66.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
66.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
66.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
66.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
66.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
66.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
66.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
65.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
65.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
65.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
65.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
65.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
65.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
65.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
65.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
65.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
65.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
65.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
64.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
64.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
64.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
64.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
64.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
64.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
64.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
64.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
63.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
63.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
63.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
63.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
63.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
63.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
63.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
63.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
63.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
62.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
62.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
62.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
62.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
62.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
62.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
62.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
62.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
62.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
62.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
62.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
62.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
62.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
61.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
61.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
61.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
61.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
61.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
61.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
60.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
60.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
60.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
60.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
60.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
60.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
60.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
60.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
60.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
59.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
59.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
59.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
59.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
59.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
59.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
59.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
59.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
59.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
59.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
59.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
59.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
58.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
58.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
58.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
58.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
58.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
58.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
58.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
58.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
58.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
58.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
58.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
58.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
58.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
58.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
57.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
57.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
57.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
57.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
57.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
57.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
57.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
57.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
57.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
57.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
57.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
57.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
57.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
57.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
56.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
56.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
56.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
56.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
56.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
56.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
56.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
56.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
56.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
56.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
56.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
56.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
55.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
55.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
55.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
55.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
55.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
55.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
55.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
55.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
55.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
55.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
55.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
55.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
55.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
55.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
55.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
54.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
54.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
54.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
54.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
54.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
54.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
54.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
54.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
54.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
54.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
54.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
54.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
54.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
54.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
53.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
53.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
53.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
53.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
53.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
53.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
53.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
53.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
53.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
53.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
53.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
53.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
53.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
53.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
53.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
53.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
52.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
52.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
52.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
52.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
52.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
52.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
52.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
52.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
52.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
52.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
52.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
52.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
51.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
51.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
51.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
51.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
51.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
51.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
51.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
51.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
51.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
51.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
51.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
50.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
50.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
50.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
50.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
50.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
50.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
50.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
50.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
50.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
50.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
50.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
50.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
49.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
49.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
49.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
49.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
49.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
49.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
49.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
49.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
49.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
49.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
49.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
49.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
49.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
49.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
49.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
49.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
49.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
48.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
48.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
48.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
48.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
48.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
48.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
48.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
48.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
48.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
47.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
47.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
47.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
47.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
47.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
47.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
47.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
47.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
47.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
46.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
46.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
46.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
46.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
46.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
46.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
46.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
46.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
46.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
45.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
45.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
45.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
45.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
45.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
45.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
45.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
45.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
45.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
44.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
44.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
44.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
44.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
44.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
44.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
44.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
44.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
44.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
44.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
44.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
44.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
44.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
44.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
43.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
43.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
43.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
43.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
43.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
43.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
43.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
43.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
43.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
43.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
43.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
43.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
43.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
42.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
42.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
42.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
42.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
42.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
42.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
42.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
42.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
41.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
41.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
41.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
40.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
39.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
39.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
39.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
39.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
39.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
39.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
39.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
39.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
38.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
38.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
37.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
37.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
37.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
36.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
36.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
36.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
36.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
36.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
35.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
35.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
35.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
34.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
34.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
34.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
33.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
33.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
33.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
32.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
31.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
31.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
30.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
30.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
28.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
28.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
27.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
26.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
25.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
25.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
22.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
21.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
THOC7 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
99.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
197.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
188.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
184.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
151.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
150.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
148.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
148.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
145.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
139.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
136.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
132.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
128.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
127.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
126.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
126.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
126.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
125.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
121.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
119.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
118.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
117.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
113.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
112.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
111.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
109.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
108.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
108.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
106.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
106.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
105.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
104.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
104.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
103.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
103.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
102.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
101.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
101.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
101.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
100.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
99.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
98.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
98.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
97.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
97.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
96.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
96.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
96.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
96.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
95.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
94.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
92.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
92.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
91.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
91.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
90.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
89.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
89.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
87.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
87.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
87.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
86.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
85.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
81.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
80.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
80.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
79.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
79.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
79.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
78.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
78.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
77.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
75.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
73.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
73.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
73.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
72.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
71.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
69.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
66.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
65.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
64.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
61.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
59.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
57.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
57.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
55.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
44.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
THOC7 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
52.2
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
99.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
94.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
92.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
90.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
87.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
86.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
86.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
85.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
83.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
77.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
75.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
75.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
75.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
73.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
72.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
72.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
71.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
71.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
71.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
70.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
70.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
69.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
69.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
69.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
68.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
68.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
68.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
67.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
67.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
67.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
67.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
66.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
66.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
65.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
65.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
65.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
65.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
65.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
65.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
65.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
65.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
65.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
64.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
64.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
64.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
64.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
64.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
64.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
63.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
63.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
63.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
63.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
62.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
61.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
61.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
61.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
60.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
60.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
60.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
60.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
60.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
59.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
59.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
58.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
58.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
58.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
57.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
57.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
57.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
57.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
57.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
57.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
56.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
55.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
55.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
55.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
55.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
55.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
55.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
55.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
55.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
54.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
54.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
54.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
54.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
53.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
53.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
53.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
53.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
53.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
52.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
52.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
52.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
51.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
51.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
51.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
51.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
50.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
50.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
50.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
50.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
50.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
50.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
49.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
49.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
49.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
49.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
48.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
48.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
48.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
48.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
47.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
47.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
47.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
47.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
46.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
46.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
46.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
46.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
44.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
44.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
44.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
43.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
42.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
42.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
42.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
42.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
42.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
42.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
41.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
41.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
41.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
41.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
41.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
40.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
40.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
40.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
39.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
37.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
37.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
37.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
37.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
37.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
36.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
36.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
35.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
35.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
35.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
34.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
32.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
32.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
32.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
31.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
31.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
30.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
29.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
29.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
29.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
29.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
27.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
27.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
24.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
0.9
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.8
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
377cdd37-d1bd-4042-997e-478a0f_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
