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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMEM230 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
93.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
284.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
239.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
216.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
207.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
206.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
200.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
193.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
190.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
182.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
181.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
178.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
176.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
175.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
174.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
171.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
166.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
164.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
159.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
157.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
157.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
156.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
155.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
154.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
153.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
151.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
150.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
149.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
146.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
145.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
145.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
144.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
142.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
140.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
138.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
137.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
135.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
135.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
133.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
133.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
130.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
129.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
127.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
127.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
127.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
123.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
123.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
120.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
119.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
119.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
117.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
117.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
115.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
115.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
114.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
114.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
114.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
113.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
113.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
112.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
112.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
110.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
109.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
109.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
108.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
108.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
107.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
106.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
104.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
104.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
104.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
103.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
103.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
102.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
102.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
102.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
102.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
100.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
99.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
99.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
99.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
99.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
99.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
99.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
98.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
98.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
98.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
98.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
98.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
97.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
97.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
96.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
96.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
96.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
96.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
96.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
96.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
96.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
95.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
95.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
95.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
95.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
94.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
94.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
94.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
94.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
93.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
93.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
93.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
93.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
92.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
92.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
92.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
91.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
91.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
90.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
90.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
90.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
90.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
90.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
89.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
89.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
88.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
88.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
88.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
87.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
87.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
87.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
87.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
86.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
86.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
85.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
85.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
85.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
84.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
83.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
83.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
83.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
83.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
83.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
82.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
82.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
82.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
81.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
80.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
79.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
79.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
79.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
79.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
78.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
78.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
78.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
77.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
77.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
77.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
77.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
76.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
76.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
75.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
74.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
74.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
74.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
74.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
74.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
73.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
73.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
72.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
72.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
71.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
71.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
71.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
71.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
70.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
70.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
69.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
69.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
69.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
69.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
69.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
68.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
68.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
68.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
68.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
68.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
68.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
68.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
67.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
67.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
67.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
67.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
66.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
65.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
64.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
63.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
63.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
63.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
63.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
62.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
61.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
61.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
61.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
61.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
60.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
60.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
60.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
60.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
59.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
59.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
59.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
59.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
58.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
58.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
58.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
57.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
57.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
57.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
57.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
56.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
56.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
55.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
55.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
55.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
55.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
54.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
54.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
53.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
52.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
52.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
52.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
52.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
51.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
51.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
51.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
51.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
51.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
50.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
48.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
47.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
46.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
45.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
45.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
45.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
44.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
43.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
42.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
42.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
41.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
41.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
40.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
40.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
40.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
39.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 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.
TMEM230 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
94.3
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
268.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
221.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
207.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
200.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
196.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
194.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
192.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
192.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
184.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
183.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
183.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
182.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
181.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
181.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
179.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
175.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
174.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
170.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
169.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
167.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
164.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
163.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
162.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
161.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
161.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
158.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
158.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
156.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
154.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
154.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
150.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
150.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
149.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
147.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
146.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
146.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
146.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
145.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
144.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
144.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
143.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
142.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
142.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
142.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
141.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
140.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
140.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
139.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
138.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
136.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
136.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
136.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
135.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
133.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
132.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
130.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
129.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
129.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
128.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
128.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
128.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
126.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
126.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
126.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
126.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
126.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
125.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
124.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
124.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
124.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
124.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
123.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
123.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
122.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
122.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
122.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
122.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
122.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
121.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
120.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
120.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
120.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
120.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
119.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
119.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
119.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
119.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
117.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
117.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
117.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
116.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
116.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
116.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
116.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
116.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
114.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
113.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
113.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
113.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
113.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
112.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
111.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
111.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
111.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
110.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
110.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
110.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
110.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
110.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
110.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
110.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
110.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
110.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
110.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
110.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
110.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
109.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
109.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
109.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
109.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
108.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
108.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
108.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
108.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
108.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
108.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
108.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
108.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
107.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
107.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
106.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
106.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
106.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
106.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
106.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
106.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
105.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
105.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
105.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
104.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
104.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
104.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
103.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
103.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
103.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
103.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
103.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
103.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
103.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
103.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
102.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
102.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
101.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
101.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
101.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
101.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
101.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
101.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
101.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
101.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
101.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
100.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
100.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
100.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
100.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
100.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
99.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
99.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
99.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
99.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
98.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
98.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
98.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
98.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
98.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
97.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
97.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
97.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
97.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
97.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
97.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
97.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
97.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
97.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
96.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
96.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
96.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
96.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
96.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
95.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
95.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
95.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
95.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
94.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
94.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
94.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
94.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
93.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
93.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
93.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
93.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
93.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
93.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
93.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
92.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
92.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
92.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
92.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
92.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
92.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
91.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
91.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
91.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
91.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
91.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
91.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
91.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
91.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
90.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
90.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
90.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
90.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
90.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
90.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
90.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
90.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
90.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
90.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
89.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
89.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
89.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
89.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
89.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
89.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
89.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
89.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
89.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
88.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
88.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
88.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
88.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
88.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
88.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
88.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
88.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
87.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
87.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
87.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
87.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
87.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
87.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
87.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
87.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
87.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
87.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
87.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
87.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
86.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
86.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
86.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
86.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
85.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
85.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
85.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
85.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
85.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
85.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
85.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
84.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
84.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
84.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
84.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
84.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
84.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
84.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
84.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
84.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
84.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
83.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
83.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
83.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
83.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
83.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
83.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
83.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
83.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
83.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
83.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
83.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
83.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
83.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
83.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
83.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
82.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
82.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
82.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
82.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
82.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
82.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
82.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
82.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
81.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
81.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
81.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
80.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
80.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
80.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
80.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
80.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
79.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
79.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
79.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
79.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
79.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
79.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
79.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
79.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
78.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
78.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
78.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
78.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
78.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
78.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
78.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
78.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
78.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
78.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
77.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
77.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
77.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
77.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
77.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
77.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
77.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
77.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
77.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
77.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
77.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
77.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
77.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
77.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
77.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
77.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
76.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
76.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
76.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
76.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
76.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
76.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
76.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
76.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
76.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
76.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
75.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
75.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
75.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
75.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
74.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
74.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
74.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
74.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
74.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
74.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
74.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
74.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
74.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
74.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
74.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
74.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
73.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
73.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
73.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
72.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
72.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
72.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
72.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
72.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
71.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
71.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
71.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
71.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
71.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
70.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
70.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
70.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
70.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
70.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
70.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
70.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
70.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
69.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
69.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
69.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
69.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
69.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
68.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
68.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
68.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
68.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
68.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
68.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
67.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
67.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
67.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
67.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
67.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
67.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
66.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
66.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
66.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
66.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
66.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
66.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
66.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
65.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
65.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
65.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
64.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
64.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
64.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
64.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
64.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
64.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
64.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
64.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
64.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
63.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
63.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
63.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
63.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
62.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
62.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
61.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
61.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
61.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
60.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
60.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
59.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
59.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
58.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
58.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
58.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
58.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
57.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
57.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
57.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
56.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
56.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
56.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
56.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
56.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
56.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
55.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
55.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
55.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
55.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
54.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
53.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
53.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
53.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
52.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
50.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
50.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
50.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
49.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
49.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
49.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
48.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
47.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
47.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
46.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
45.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
44.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
44.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
41.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
40.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.8
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.
TMEM230 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
102.4
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
325.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
261.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
215.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
214.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
192.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
178.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
177.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
161.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
160.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
157.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
154.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
152.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
148.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
146.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
146.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
145.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
140.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
138.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
137.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
136.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
133.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
129.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
127.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
126.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
125.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
121.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
119.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
118.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
117.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
116.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
113.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
113.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
112.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
111.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
109.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
108.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
103.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
103.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
103.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
99.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
97.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
97.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
96.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
96.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
91.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
87.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
87.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
87.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
86.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
84.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
84.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
82.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
81.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
78.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
77.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
77.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
77.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
76.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
76.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
75.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
75.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
73.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
72.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
68.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
68.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
67.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
65.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
62.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
61.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
61.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
61.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
57.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
57.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
56.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
56.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
56.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
53.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
49.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
46.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
45.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
43.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
41.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
41.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
39.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
39.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
35.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
27.9
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.
TMEM230 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
88.1
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
203.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
192.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
178.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
164.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
163.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
160.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
158.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
157.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
152.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
152.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
149.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
146.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
142.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
134.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
134.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
131.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
129.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
127.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
126.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
126.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
126.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
125.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
125.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
125.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
125.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
123.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
122.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
119.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
118.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
118.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
117.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
117.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
116.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
116.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
115.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
115.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
113.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
110.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
109.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
108.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
108.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
108.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
107.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
107.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
106.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
106.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
105.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
104.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
103.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
103.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
103.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
102.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
102.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
102.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
101.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
101.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
100.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
100.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
100.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
100.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
100.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
99.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
99.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
98.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
98.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
97.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
97.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
97.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
97.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
97.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
96.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
96.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
96.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
95.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
95.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
95.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
95.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
94.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
94.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
94.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
92.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
92.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
91.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
90.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
90.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
90.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
90.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
90.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
89.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
87.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
87.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
86.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
86.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
86.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
86.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
86.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
85.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
84.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
84.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
84.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
84.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
84.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
84.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
84.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
83.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
83.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
82.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
82.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
81.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
81.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
81.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
81.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
80.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
80.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
80.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
79.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
79.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
79.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
79.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
79.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
78.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
78.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
78.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
78.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
78.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
78.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
77.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
77.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
77.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
76.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
76.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
75.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
75.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
74.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
74.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
74.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
73.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
73.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
73.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
72.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
72.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
72.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
72.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
72.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
72.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
71.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
71.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
70.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
70.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
70.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
68.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
68.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
68.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
68.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
67.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
67.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
67.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
67.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
66.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
66.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
66.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
66.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
65.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
64.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
64.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
64.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
64.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
64.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
63.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
63.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
62.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
62.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
60.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
60.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
59.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
59.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
58.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
57.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
56.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
56.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
56.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
55.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
55.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
55.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
49.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
48.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
46.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
44.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
41.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
38.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
33.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
33.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.9
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
