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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.
TMEM45B 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
76.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
265.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
243.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
223.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
184.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
181.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
175.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
170.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
167.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
164.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
159.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
157.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
157.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
155.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
152.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
151.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
151.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
150.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
149.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
149.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
148.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
146.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
138.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
137.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
137.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
135.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
134.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
133.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
133.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
133.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
133.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
131.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
129.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
127.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
127.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
127.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
126.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
123.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
120.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
119.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
119.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
119.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
118.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
117.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
116.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
115.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
112.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
112.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
111.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
111.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
110.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
109.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
107.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
107.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
106.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
105.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
102.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
102.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
101.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
101.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
100.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
100.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
99.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
99.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
99.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
99.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
98.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
97.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
96.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
93.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
93.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
92.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
92.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
91.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
91.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
91.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
91.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
91.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
90.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
89.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
88.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
87.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
86.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
86.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
85.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
85.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
85.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
84.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
84.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
84.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
83.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
83.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
83.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
82.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
81.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
81.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
81.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
81.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
81.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
80.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
79.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
79.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
78.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
78.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
78.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
78.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
78.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
78.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
77.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
77.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
76.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
76.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
76.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
75.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
75.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
74.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
74.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
74.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
74.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
74.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
74.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
73.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
73.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
73.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
73.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
72.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
71.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
71.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
71.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
71.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
70.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
70.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
69.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
69.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
69.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
69.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
68.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
65.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
65.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
65.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
65.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
65.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
64.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
64.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
62.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
61.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
60.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
60.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
59.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
59.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
58.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
57.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
57.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
57.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
56.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
56.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
56.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
55.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
55.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
54.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
53.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
53.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
53.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
52.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
52.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
52.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
52.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
52.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
52.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
51.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
51.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
51.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
51.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
50.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
50.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
50.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
49.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
49.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
49.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
48.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
48.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
48.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
48.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
47.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
47.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
47.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
47.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
47.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
46.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
46.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
46.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
46.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
46.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
45.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
45.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
43.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
43.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
43.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
43.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
42.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
42.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
40.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
39.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
39.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
39.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
39.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
37.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
36.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
36.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
36.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
35.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
35.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
35.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
35.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
35.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
34.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
34.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
32.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
32.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
31.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
31.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
30.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
30.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
29.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
28.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
27.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
25.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
23.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
21.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
19.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
18.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
17.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
17.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
16.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
16.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
15.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
14.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
14.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
11.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
TMEM45B 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
56.4
Number of samples
486
Samples
Sample
Description
TPM
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
207.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
150.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
149.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
127.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
126.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
125.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
125.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
125.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
124.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
124.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
123.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
122.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
122.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
120.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
120.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
119.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
119.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
115.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
113.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
113.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
112.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
112.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
111.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
111.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
111.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
110.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
110.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
108.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
108.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
107.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
106.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
106.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
106.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
105.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
102.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
102.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
102.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
101.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
100.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
100.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
99.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
99.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
99.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
98.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
97.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
95.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
95.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
95.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
94.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
93.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
93.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
93.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
92.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
92.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
92.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
92.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
91.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
91.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
91.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
91.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
91.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
89.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
89.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
88.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
88.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
87.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
87.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
87.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
86.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
86.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
85.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
85.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
85.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
84.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
84.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
83.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
83.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
83.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
83.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
82.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
81.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
81.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
81.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
81.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
81.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
80.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
80.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
80.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
79.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
79.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
78.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
78.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
78.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
78.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
78.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
78.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
77.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
77.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
77.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
76.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
76.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
76.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
76.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
75.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
75.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
75.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
74.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
74.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
74.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
73.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
73.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
73.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
73.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
73.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
72.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
72.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
72.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
72.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
72.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
71.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
71.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
70.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
70.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
69.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
69.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
69.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
69.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
69.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
69.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
68.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
68.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
68.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
68.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
68.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
68.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
68.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
68.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
67.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
67.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
67.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
67.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
66.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
66.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
64.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
64.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
64.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
63.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
63.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
63.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
62.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
62.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
62.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
62.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
62.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
62.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
61.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
61.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
61.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
61.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
61.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
61.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
61.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
60.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
60.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
60.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
60.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
60.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
59.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
59.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
59.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
59.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
59.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
59.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
59.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
58.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
58.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
58.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
58.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
58.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
58.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
58.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
58.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
58.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
57.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
57.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
57.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
57.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
56.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
56.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
56.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
56.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
56.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
56.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
56.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
56.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
55.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
55.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
55.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
55.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
55.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
55.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
54.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
54.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
54.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
54.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
54.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
54.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
53.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
53.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
53.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
53.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
53.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
53.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
53.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
53.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
53.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
52.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
52.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
52.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
52.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
52.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
52.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
52.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
52.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
51.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
51.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
51.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
51.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
51.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
51.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
51.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
51.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
51.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
50.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
50.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
50.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
50.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
50.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
50.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
50.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
49.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
49.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
49.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
49.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
49.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
49.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
49.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
49.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
49.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
48.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
48.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
48.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
48.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
48.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
48.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
48.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
47.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
47.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
47.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
47.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
47.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
47.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
47.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
47.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
46.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
46.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
46.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
46.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
46.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
46.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
46.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
46.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
46.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
46.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
46.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
45.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
45.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
45.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
45.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
45.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
44.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
44.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
44.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
44.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
44.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
43.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
43.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
43.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
43.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
43.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
43.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
43.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
42.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
42.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
42.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
42.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
42.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
42.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
42.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
42.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
41.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
41.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
41.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
41.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
41.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
41.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
41.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
41.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
41.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
40.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
40.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
40.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
40.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
40.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
40.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
40.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
40.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
40.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
40.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
40.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
39.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
39.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
39.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
38.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
38.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
38.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
38.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
37.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
37.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
37.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
37.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
37.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
37.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
37.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
36.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
36.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
36.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
36.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
36.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
35.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
35.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
35.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
35.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
35.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
35.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
35.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
35.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
35.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
35.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
34.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
34.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
34.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
34.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
33.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
33.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
33.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
33.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
33.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
32.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
32.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
32.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
32.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
32.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
32.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
31.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
31.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
31.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
31.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
31.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
30.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
30.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
30.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
29.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
29.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
29.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
29.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
29.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
29.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
29.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
29.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
29.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
29.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
28.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
28.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
28.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
27.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
27.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
27.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
27.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
27.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
26.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
26.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
26.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
26.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
26.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
26.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
25.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
25.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
25.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
25.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
25.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
25.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
24.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
24.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
24.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
24.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
24.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
24.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
24.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
24.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
23.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
22.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
22.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
22.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
21.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
21.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
20.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
20.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
20.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
20.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
20.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
19.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
19.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
19.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
18.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
18.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
17.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
17.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
16.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
15.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
15.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
14.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
14.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
14.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
12.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
12.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
11.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
8.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMEM45B 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
70.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
178.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
167.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
135.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
131.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
127.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
125.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
121.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
119.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
117.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
115.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
114.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
114.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
113.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
109.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
108.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
107.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
107.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
102.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
100.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
97.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
97.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
93.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
91.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
86.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
85.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
82.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
82.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
82.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
81.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
79.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
79.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
79.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
78.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
77.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
76.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
74.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
69.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
69.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
68.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
68.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
68.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
67.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
66.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
65.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
65.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
64.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
64.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
62.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
60.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
59.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
57.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
57.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
56.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
55.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
55.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
54.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
52.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
51.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
47.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
47.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
46.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
45.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
45.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
44.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
44.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
42.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
41.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
40.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
38.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
37.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
36.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
35.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
35.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
35.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
34.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
34.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
34.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
33.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
32.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
31.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
31.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
30.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
30.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
24.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
22.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
17.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 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.
TMEM45B 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
46.9
Number of samples
207
Samples
Sample
Description
TPM
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
112.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
110.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
92.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
89.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
86.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
85.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
84.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
84.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
82.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
82.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
82.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
81.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
81.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
79.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
79.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
74.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
73.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
73.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
73.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
72.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
71.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
70.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
70.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
68.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
68.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
67.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
67.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
67.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
66.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
65.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
64.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
63.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
63.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
63.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
63.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
62.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
62.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
61.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
61.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
61.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
61.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
61.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
61.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
60.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
59.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
59.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
58.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
58.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
58.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
58.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
58.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
56.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
55.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
55.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
55.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
54.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
54.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
54.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
54.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
54.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
54.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
54.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
53.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
53.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
53.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
53.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
53.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
53.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
52.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
52.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
52.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
51.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
51.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
51.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
51.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
50.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
50.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
49.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
49.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
49.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
49.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
49.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
48.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
48.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
48.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
48.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
48.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
47.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
47.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
46.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
45.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
45.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
45.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
45.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
45.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
45.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
44.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
44.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
44.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
44.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
44.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
44.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
43.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
42.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
41.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
41.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
39.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
39.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
39.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
38.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
38.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
37.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
37.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
37.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
37.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
36.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
36.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
36.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
36.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
35.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
34.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
34.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
33.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
32.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
32.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
30.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
30.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
30.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
28.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
28.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
28.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
28.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
28.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
28.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
26.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
26.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
25.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
25.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
24.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
24.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
24.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
24.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
23.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
23.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
23.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
23.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
23.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
21.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
21.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
20.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
19.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
19.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
19.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
17.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
15.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
15.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
15.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
15.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
14.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
13.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
11.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
11.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
1.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
1.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.8
963fc8db-f412-4427-a198-23f660_D2
Normal
0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_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
