We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MT1G 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
136.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2312.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
889.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
732.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
717.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
675.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
596.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
592.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
565.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
522.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
515.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
508.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
491.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
480.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
453.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
418.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
401.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
392.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
379.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
375.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
366.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
358.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
353.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
352.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
341.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
335.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
316.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
302.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
297.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
285.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
283.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
282.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
282.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
272.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
266.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
260.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
259.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
250.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
247.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
246.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
244.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
244.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
239.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
235.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
230.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
222.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
220.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
212.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
212.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
208.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
205.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
202.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
198.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
196.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
188.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
187.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
187.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
183.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
183.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
182.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
170.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
170.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
169.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
162.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
160.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
159.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
158.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
157.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
153.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
152.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
152.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
151.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
151.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
150.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
149.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
149.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
148.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
147.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
147.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
145.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
143.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
142.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
142.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
141.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
139.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
138.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
136.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
130.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
128.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
128.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
126.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
123.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
122.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
120.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
118.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
118.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
115.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
115.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
115.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
114.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
114.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
114.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
112.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
111.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
109.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
109.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
109.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
108.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
108.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
106.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
106.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
103.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
98.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
95.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
94.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
93.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
93.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
92.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
91.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
90.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
90.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
87.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
86.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
85.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
84.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
84.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
84.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
81.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
79.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
78.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
78.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
77.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
75.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
73.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
73.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
73.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
72.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
71.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
66.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
64.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
61.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
61.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
60.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
59.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
58.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
58.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
58.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
58.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
57.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
55.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
53.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
52.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
51.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
51.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
50.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
48.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
48.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
47.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
45.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
44.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
44.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
42.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
41.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
39.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
39.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
39.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
39.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
36.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
36.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
36.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
36.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
35.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
33.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
33.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
33.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
33.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
33.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
32.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
31.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
31.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
29.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
29.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
29.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
29.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
29.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
29.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
28.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
28.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
28.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
27.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
27.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
26.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
26.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
25.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
24.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
24.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
23.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
22.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
22.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
21.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
21.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
21.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
20.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
19.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
18.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
18.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
18.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
18.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
17.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
17.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
17.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
17.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
16.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
16.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
16.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
16.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
16.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
15.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
14.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
13.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
13.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
12.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
12.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
11.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
11.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
10.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
10.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
9.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
9.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
9.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
8.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
8.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
7.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
5.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
4.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
3.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
3.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
2.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
2.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 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.
MT1G 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
77.7
Number of samples
486
Samples
Sample
Description
TPM
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
766.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
596.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
575.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
455.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
409.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
364.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
363.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
349.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
336.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
335.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
330.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
325.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
319.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
298.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
289.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
281.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
280.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
275.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
272.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
266.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
263.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
258.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
254.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
254.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
251.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
251.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
245.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
236.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
235.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
231.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
227.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
226.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
225.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
225.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
222.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
222.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
213.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
209.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
208.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
208.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
206.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
205.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
202.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
196.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
196.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
187.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
187.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
187.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
183.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
183.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
176.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
175.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
175.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
174.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
173.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
172.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
170.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
168.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
166.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
164.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
164.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
164.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
163.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
158.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
157.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
155.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
154.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
153.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
152.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
152.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
146.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
144.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
144.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
142.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
141.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
141.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
140.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
140.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
137.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
137.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
134.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
133.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
133.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
131.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
131.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
129.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
128.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
128.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
128.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
128.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
127.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
125.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
125.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
125.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
123.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
122.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
122.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
121.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
121.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
118.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
118.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
117.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
117.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
114.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
114.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
113.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
111.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
110.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
110.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
109.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
109.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
108.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
107.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
106.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
105.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
105.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
104.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
104.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
102.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
101.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
101.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
101.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
101.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
101.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
100.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
99.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
98.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
98.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
98.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
97.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
97.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
96.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
95.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
93.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
93.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
92.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
92.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
92.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
91.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
91.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
91.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
90.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
88.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
88.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
88.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
87.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
87.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
86.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
86.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
85.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
85.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
85.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
85.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
83.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
81.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
80.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
80.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
79.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
79.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
78.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
78.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
78.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
77.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
76.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
76.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
76.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
75.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
75.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
74.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
74.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
73.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
73.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
72.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
71.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
70.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
70.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
70.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
69.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
69.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
67.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
67.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
66.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
66.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
66.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
66.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
66.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
65.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
65.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
65.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
64.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
64.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
64.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
63.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
62.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
61.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
61.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
60.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
60.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
60.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
59.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
59.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
58.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
58.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
58.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
58.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
58.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
58.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
58.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
57.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
57.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
57.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
57.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
57.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
56.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
56.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
56.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
55.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
55.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
55.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
55.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
55.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
54.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
54.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
53.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
52.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
51.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
51.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
51.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
50.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
49.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
48.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
48.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
48.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
47.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
47.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
47.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
47.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
47.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
46.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
46.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
46.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
45.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
44.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
44.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
44.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
44.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
43.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
43.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
43.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
43.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
42.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
42.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
42.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
42.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
42.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
41.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
41.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
41.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
40.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
40.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
40.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
40.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
39.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
39.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
39.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
38.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
37.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
37.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
37.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
37.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
37.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
37.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
37.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
37.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
36.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
36.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
36.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
36.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
36.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
36.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
35.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
35.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
35.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
34.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
34.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
34.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
34.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
34.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
34.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
33.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
33.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
33.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
33.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
32.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
32.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
32.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
32.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
32.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
31.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
31.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
31.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
31.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
30.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
30.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
30.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
30.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
30.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
29.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
29.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
29.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
29.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
29.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
29.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
28.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
28.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
28.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
28.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
27.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
27.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
27.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
27.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
26.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
26.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
26.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
26.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
26.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
25.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
25.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
25.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
24.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
24.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
24.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
24.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
24.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
24.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
24.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
23.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
23.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
23.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
23.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
23.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
22.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
22.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
22.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
22.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
21.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
21.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
21.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
20.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
20.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
20.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
19.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
19.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
19.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
19.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
19.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
19.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
19.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
19.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
19.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
18.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
18.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
18.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
18.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
18.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
17.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
17.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
17.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
17.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
17.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
16.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
16.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
16.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
16.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
16.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
16.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
16.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
15.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
15.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
15.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
15.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
15.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
15.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
15.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
14.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
14.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
14.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
13.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
13.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
13.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
13.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
13.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
13.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
13.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
12.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
12.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
12.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
11.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
11.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
11.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
11.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
11.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
11.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
11.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
10.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
10.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
10.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
10.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
9.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
9.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
9.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
9.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
9.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
9.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
9.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
9.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
9.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
9.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
8.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
8.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
8.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
8.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
7.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
7.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
7.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
7.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
7.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
7.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
7.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
7.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
7.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
6.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
6.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
6.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
6.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
6.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
6.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
6.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
5.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
5.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
5.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
5.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
5.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
5.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
5.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
5.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
4.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
4.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
4.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
4.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
3.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
3.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
3.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
3.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
3.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
2.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
2.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
2.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
1.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 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.
MT1G 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
120.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
714.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
584.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
542.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
528.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
423.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
352.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
324.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
300.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
295.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
262.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
248.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
248.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
245.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
239.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
229.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
213.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
212.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
203.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
194.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
194.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
178.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
173.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
171.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
165.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
161.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
155.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
147.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
140.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
132.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
122.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
110.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
110.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
97.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
96.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
92.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
90.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
89.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
89.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
84.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
83.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
79.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
73.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
70.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
69.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
65.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
64.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
63.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
63.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
62.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
61.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
57.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
55.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
48.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
46.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
45.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
41.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
39.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
38.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
36.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
35.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
28.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
28.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
26.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
25.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
23.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
23.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
21.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
18.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
17.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
16.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
14.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
14.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
12.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
11.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
11.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
9.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
8.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
7.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
6.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
6.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
5.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 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.
MT1G 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
57.6
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
405.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
289.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
281.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
274.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
243.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
215.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
198.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
193.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
180.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
178.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
178.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
175.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
172.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
169.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
156.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
154.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
149.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
145.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
142.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
141.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
138.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
138.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
129.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
126.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
126.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
125.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
115.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
110.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
110.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
110.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
109.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
105.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
101.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
99.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
97.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
95.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
94.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
92.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
92.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
91.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
90.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
90.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
87.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
85.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
84.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
84.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
82.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
81.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
81.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
81.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
80.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
80.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
79.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
78.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
78.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
76.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
76.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
75.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
74.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
71.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
70.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
70.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
70.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
64.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
63.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
63.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
62.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
60.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
60.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
60.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
59.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
56.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
55.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
54.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
54.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
53.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
52.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
50.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
50.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
49.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
47.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
47.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
46.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
46.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
44.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
44.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
44.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
43.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
43.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
41.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
41.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
41.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
40.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
39.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
38.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
38.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
38.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
37.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
37.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
37.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
35.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
35.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
35.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
32.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
32.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
31.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
31.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
30.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
30.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
29.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
29.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
28.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
28.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
27.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
27.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
27.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
25.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
25.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
24.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
24.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
23.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
23.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
23.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
23.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
22.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
21.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
20.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
20.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
20.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
20.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
19.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
19.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
19.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
18.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
18.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
17.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
17.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
16.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
16.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
15.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
14.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
14.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
14.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
13.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
13.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
13.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
13.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
13.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
13.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
11.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
11.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
11.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
10.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
10.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
10.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
10.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
9.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
9.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
9.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
8.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
8.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
8.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
8.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
7.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
7.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
7.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
7.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
7.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
6.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
6.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
5.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
5.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
5.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
5.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
4.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
4.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
4.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
4.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
4.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
4.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
3.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
3.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
3.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
3.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
3.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
1.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
1.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
1.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
0.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
