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.
PSMF1 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
62.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
159.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
157.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
140.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
133.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
132.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
131.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
123.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
119.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
118.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
116.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
111.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
110.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
108.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
105.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
102.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
102.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
101.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
100.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
99.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
99.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
98.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
98.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
98.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
97.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
97.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
97.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
95.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
94.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
93.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
93.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
91.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
91.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
91.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
90.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
90.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
90.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
90.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
89.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
88.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
88.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
88.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
88.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
87.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
87.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
86.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
86.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
85.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
84.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
84.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
83.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
83.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
82.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
82.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
81.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
80.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
80.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
79.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
79.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
79.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
79.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
78.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
78.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
76.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
76.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
76.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
75.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
75.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
75.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
74.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
74.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
74.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
73.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
73.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
73.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
73.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
72.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
72.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
72.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
71.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
71.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
71.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
71.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
71.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
70.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
70.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
69.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
68.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
68.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
68.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
68.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
66.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
66.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
66.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
66.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
66.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
65.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
65.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
65.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
65.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
64.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
64.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
64.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
64.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
63.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
62.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
62.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
62.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
62.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
62.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
61.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
61.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
61.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
61.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
61.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
61.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
61.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
61.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
60.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
60.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
60.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
60.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
59.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
59.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
59.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
59.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
59.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
59.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
59.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
58.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
58.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
58.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
58.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
58.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
58.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
58.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
57.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
57.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
57.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
56.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
56.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
55.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
55.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
55.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
55.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
55.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
54.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
54.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
54.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
53.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
53.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
52.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
52.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
52.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
52.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
52.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
52.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
51.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
51.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
50.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
50.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
50.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
50.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
50.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
50.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
49.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
49.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
49.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
49.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
49.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
49.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
48.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
48.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
48.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
48.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
48.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
48.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
48.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
48.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
47.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
47.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
47.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
47.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
47.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
46.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
46.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
46.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
46.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
45.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
45.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
45.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
45.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
44.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
44.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
43.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
43.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
43.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
42.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
42.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
42.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
41.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
41.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
41.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
41.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
41.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
40.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
40.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
39.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
38.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
38.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
38.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
38.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
38.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
38.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
37.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
37.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
37.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
37.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
36.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
36.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
36.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
36.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
36.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
35.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
35.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
35.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
34.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
34.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
34.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
33.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
33.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
33.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
33.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
33.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
31.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
31.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
31.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
30.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
30.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
29.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
29.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
29.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
28.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
28.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
27.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
27.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
26.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
25.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
23.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
22.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
21.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
PSMF1 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
98.6
Number of samples
486
Samples
Sample
Description
TPM
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
245.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
232.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
210.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
207.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
203.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
197.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
196.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
195.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
195.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
191.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
189.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
186.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
181.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
181.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
180.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
177.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
175.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
174.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
169.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
169.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
168.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
167.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
166.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
165.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
162.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
161.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
161.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
160.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
160.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
159.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
157.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
156.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
156.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
155.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
154.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
152.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
152.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
151.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
150.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
150.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
148.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
147.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
146.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
144.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
144.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
144.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
143.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
143.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
143.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
142.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
139.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
139.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
138.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
138.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
137.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
137.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
137.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
137.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
136.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
135.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
134.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
134.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
134.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
134.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
134.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
133.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
133.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
133.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
133.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
133.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
132.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
132.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
131.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
130.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
129.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
129.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
128.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
128.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
128.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
128.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
127.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
127.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
127.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
126.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
125.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
125.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
124.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
124.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
124.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
123.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
123.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
123.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
123.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
122.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
122.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
122.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
121.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
121.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
120.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
120.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
120.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
119.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
119.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
119.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
119.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
119.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
119.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
119.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
119.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
118.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
118.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
118.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
118.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
118.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
117.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
117.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
117.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
117.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
116.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
116.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
116.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
116.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
116.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
115.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
115.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
115.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
115.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
115.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
115.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
115.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
114.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
114.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
114.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
114.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
114.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
114.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
114.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
113.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
113.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
113.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
112.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
112.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
112.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
111.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
111.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
111.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
111.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
111.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
111.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
110.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
110.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
110.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
110.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
110.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
110.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
109.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
109.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
109.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
109.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
109.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
109.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
108.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
108.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
108.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
108.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
108.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
108.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
107.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
107.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
107.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
107.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
107.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
106.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
106.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
105.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
105.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
105.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
104.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
104.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
104.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
104.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
104.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
104.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
104.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
104.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
103.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
103.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
103.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
102.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
102.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
102.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
101.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
101.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
101.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
101.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
101.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
101.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
101.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
100.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
100.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
100.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
100.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
100.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
100.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
100.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
99.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
99.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
99.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
99.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
99.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
99.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
99.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
99.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
98.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
98.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
98.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
98.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
98.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
98.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
98.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
97.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
97.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
97.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
97.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
97.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
97.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
97.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
97.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
97.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
97.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
97.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
97.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
97.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
96.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
96.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
96.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
96.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
96.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
96.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
96.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
96.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
95.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
95.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
95.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
95.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
95.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
95.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
94.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
94.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
94.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
94.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
94.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
94.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
94.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
94.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
93.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
93.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
93.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
93.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
93.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
93.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
93.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
93.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
92.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
92.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
92.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
92.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
92.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
92.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
91.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
91.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
91.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
91.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
90.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
90.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
90.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
90.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
90.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
90.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
89.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
89.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
89.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
89.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
89.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
89.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
89.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
88.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
88.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
88.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
88.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
88.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
88.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
88.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
87.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
87.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
87.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
87.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
87.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
87.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
87.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
87.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
86.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
86.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
85.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
85.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
85.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
85.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
85.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
85.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
85.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
85.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
84.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
84.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
84.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
83.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
83.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
83.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
83.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
83.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
83.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
83.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
83.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
83.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
83.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
82.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
82.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
82.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
82.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
82.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
81.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
81.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
81.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
81.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
81.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
81.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
81.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
81.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
80.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
80.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
80.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
80.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
80.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
80.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
80.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
79.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
79.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
79.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
79.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
79.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
79.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
79.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
79.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
79.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
78.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
78.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
78.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
77.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
77.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
77.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
76.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
76.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
76.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
76.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
76.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
75.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
75.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
75.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
75.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
74.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
74.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
74.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
74.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
73.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
73.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
73.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
72.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
72.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
72.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
72.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
71.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
71.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
71.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
71.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
70.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
69.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
69.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
69.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
69.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
68.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
68.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
67.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
67.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
67.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
67.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
67.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
67.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
67.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
66.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
66.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
66.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
66.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
66.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
66.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
65.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
65.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
65.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
65.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
65.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
65.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
65.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
64.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
64.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
64.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
64.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
63.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
63.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
63.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
63.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
63.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
61.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
61.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
61.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
61.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
60.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
60.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
60.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
60.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
59.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
59.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
59.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
59.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
59.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
59.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
59.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
59.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
59.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
58.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
58.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
58.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
57.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
57.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
57.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
57.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
56.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
55.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
55.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
55.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
54.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
53.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
53.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
53.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
53.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
53.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
52.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
52.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
51.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
51.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
51.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
50.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
49.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
49.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
49.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
48.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
46.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
45.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
43.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
42.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
41.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
40.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
38.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
32.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
29.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PSMF1 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
66.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
181.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
137.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
118.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
117.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
115.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
115.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
110.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
109.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
108.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
107.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
107.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
105.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
98.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
98.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
97.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
95.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
94.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
94.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
94.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
93.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
89.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
88.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
86.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
84.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
83.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
81.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
81.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
78.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
77.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
75.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
74.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
74.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
73.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
73.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
71.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
71.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
71.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
69.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
69.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
67.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
65.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
64.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
63.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
63.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
62.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
61.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
60.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
60.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
60.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
59.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
58.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
58.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
57.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
53.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
52.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
52.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
51.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
50.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
50.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
48.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
44.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
43.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
43.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
42.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
39.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
38.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
37.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
37.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
36.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
36.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
35.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
35.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
34.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
34.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
33.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
31.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
31.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
30.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
30.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
30.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
30.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
29.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
25.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
24.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
15.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PSMF1 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
91.0
Number of samples
207
Samples
Sample
Description
TPM
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
227.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
226.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
209.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
191.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
189.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
187.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
179.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
177.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
170.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
166.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
162.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
160.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
155.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
154.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
144.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
143.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
142.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
139.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
139.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
133.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
133.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
132.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
132.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
131.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
130.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
130.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
130.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
129.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
129.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
127.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
127.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
122.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
122.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
121.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
120.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
119.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
118.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
118.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
117.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
114.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
114.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
114.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
114.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
113.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
113.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
112.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
111.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
110.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
110.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
108.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
107.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
107.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
106.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
106.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
105.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
103.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
102.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
101.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
101.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
100.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
100.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
100.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
99.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
99.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
98.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
98.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
98.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
97.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
97.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
97.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
97.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
96.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
96.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
96.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
96.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
95.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
94.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
93.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
92.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
92.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
92.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
92.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
91.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
91.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
91.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
91.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
90.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
89.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
89.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
89.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
89.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
89.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
88.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
88.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
88.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
87.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
87.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
87.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
86.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
86.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
86.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
85.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
85.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
84.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
84.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
83.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
83.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
83.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
83.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
83.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
82.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
82.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
82.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
82.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
82.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
81.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
81.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
81.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
80.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
80.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
80.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
80.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
80.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
80.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
80.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
80.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
79.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
79.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
79.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
78.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
78.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
78.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
77.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
77.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
77.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
76.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
75.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
75.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
75.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
75.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
74.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
74.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
73.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
73.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
73.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
73.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
71.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
70.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
70.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
70.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
69.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
68.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
68.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
67.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
67.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
67.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
67.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
67.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
67.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
66.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
66.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
65.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
65.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
64.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
64.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
63.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
63.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
63.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
63.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
62.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
61.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
59.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
59.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
58.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
58.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
58.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
57.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
57.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
56.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
56.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
55.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
52.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
51.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
49.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
47.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
47.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
46.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
41.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
40.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
38.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
36.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
36.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
32.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
1.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
