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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HP1BP3 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
54.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
170.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
142.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
141.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
120.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
114.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
108.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
96.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
96.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
95.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
93.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
93.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
91.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
90.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
88.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
86.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
85.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
85.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
83.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
81.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
81.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
80.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
80.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
79.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
77.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
77.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
76.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
76.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
75.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
74.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
73.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
72.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
72.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
71.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
70.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
70.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
70.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
69.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
68.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
67.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
67.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
67.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
66.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
66.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
65.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
65.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
65.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
65.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
65.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
65.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
65.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
64.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
64.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
64.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
64.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
64.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
64.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
63.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
63.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
63.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
63.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
63.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
62.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
62.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
62.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
62.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
62.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
61.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
61.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
61.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
61.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
61.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
61.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
61.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
61.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
60.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
60.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
60.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
60.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
60.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
60.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
60.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
59.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
59.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
59.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
58.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
58.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
57.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
57.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
57.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
57.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
57.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
57.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
57.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
57.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
57.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
57.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
57.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
56.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
56.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
56.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
55.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
55.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
55.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
55.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
55.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
55.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
55.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
55.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
55.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
54.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
54.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
54.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
54.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
54.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
54.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
54.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
54.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
53.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
53.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
53.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
53.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
52.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
52.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
52.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
51.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
51.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
51.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
51.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
51.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
51.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
50.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
50.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
50.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
50.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
49.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
49.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
49.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
49.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
49.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
48.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
48.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
48.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
48.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
48.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
48.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
48.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
47.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
47.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
47.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
47.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
46.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
46.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
46.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
46.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
46.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
46.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
45.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
45.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
45.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
45.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
44.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
44.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
44.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
44.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
44.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
44.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
44.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
43.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
43.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
43.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
43.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
42.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
42.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
42.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
42.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
42.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
42.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
41.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
41.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
41.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
41.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
41.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
41.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
40.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
40.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
40.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
40.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
40.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
40.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
40.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
40.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
40.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
40.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
39.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
39.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
39.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
39.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
38.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
38.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
38.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
38.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
38.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
37.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
37.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
36.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
36.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
36.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
36.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
35.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
35.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
35.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
34.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
34.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
34.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
33.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
33.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
33.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
31.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
31.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
31.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
30.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
29.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
29.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
29.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
28.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
28.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
28.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
27.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
26.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
26.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
26.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
26.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
24.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
23.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
23.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
22.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
21.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
20.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 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.
HP1BP3 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
110.2
Number of samples
486
Samples
Sample
Description
TPM
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
212.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
190.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
183.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
174.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
174.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
173.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
172.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
171.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
167.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
166.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
165.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
163.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
162.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
160.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
154.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
153.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
152.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
152.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
152.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
151.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
151.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
150.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
150.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
148.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
148.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
147.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
146.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
145.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
144.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
143.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
143.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
142.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
142.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
141.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
141.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
140.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
139.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
139.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
139.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
139.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
138.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
138.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
138.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
137.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
137.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
137.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
137.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
137.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
136.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
136.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
136.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
136.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
136.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
135.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
135.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
135.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
135.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
134.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
133.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
133.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
132.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
132.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
132.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
132.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
132.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
132.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
131.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
131.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
131.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
131.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
130.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
130.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
130.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
130.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
130.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
130.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
130.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
129.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
129.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
129.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
129.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
129.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
129.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
129.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
128.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
128.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
128.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
127.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
127.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
127.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
127.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
127.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
126.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
126.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
126.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
126.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
126.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
126.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
126.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
125.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
125.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
125.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
125.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
125.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
125.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
125.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
125.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
124.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
124.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
124.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
124.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
124.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
124.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
124.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
124.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
123.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
123.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
123.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
123.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
123.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
123.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
122.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
122.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
122.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
122.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
122.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
122.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
122.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
121.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
121.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
121.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
121.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
121.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
121.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
121.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
121.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
121.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
121.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
121.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
120.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
120.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
120.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
119.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
119.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
119.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
119.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
119.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
119.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
119.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
119.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
119.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
119.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
119.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
118.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
118.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
118.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
118.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
118.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
118.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
118.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
118.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
118.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
118.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
117.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
117.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
117.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
117.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
117.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
117.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
117.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
116.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
116.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
116.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
116.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
116.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
116.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
116.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
116.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
115.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
115.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
115.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
115.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
115.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
115.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
115.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
115.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
115.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
114.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
114.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
114.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
114.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
114.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
114.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
114.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
114.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
114.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
114.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
114.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
114.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
114.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
113.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
113.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
113.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
113.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
113.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
113.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
113.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
113.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
113.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
113.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
113.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
113.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
113.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
112.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
112.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
112.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
112.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
112.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
112.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
112.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
112.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
112.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
112.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
112.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
111.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
111.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
111.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
111.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
111.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
110.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
110.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
110.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
110.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
110.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
110.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
110.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
110.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
110.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
110.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
110.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
109.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
109.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
109.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
109.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
109.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
109.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
109.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
109.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
109.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
109.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
109.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
108.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
108.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
108.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
108.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
108.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
108.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
108.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
108.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
107.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
107.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
107.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
107.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
107.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
107.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
107.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
107.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
107.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
107.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
107.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
107.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
106.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
106.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
106.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
106.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
106.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
106.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
106.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
106.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
106.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
106.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
106.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
106.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
105.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
105.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
105.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
105.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
105.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
105.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
105.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
105.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
105.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
105.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
105.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
105.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
105.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
105.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
105.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
104.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
104.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
104.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
104.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
104.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
104.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
104.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
104.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
104.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
103.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
103.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
103.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
103.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
103.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
102.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
102.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
102.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
102.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
102.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
102.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
102.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
102.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
101.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
101.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
101.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
101.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
101.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
101.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
101.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
101.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
100.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
100.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
99.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
99.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
99.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
99.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
99.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
99.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
99.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
99.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
99.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
99.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
98.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
98.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
98.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
98.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
98.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
98.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
97.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
97.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
97.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
97.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
97.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
97.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
97.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
97.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
97.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
97.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
97.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
97.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
96.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
96.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
96.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
96.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
96.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
96.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
95.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
95.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
95.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
95.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
95.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
95.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
95.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
95.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
95.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
95.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
94.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
94.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
94.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
94.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
94.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
94.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
94.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
94.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
93.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
93.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
93.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
92.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
92.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
92.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
92.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
92.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
92.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
91.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
91.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
91.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
91.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
91.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
91.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
91.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
91.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
90.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
90.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
90.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
90.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
90.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
90.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
90.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
89.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
89.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
89.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
89.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
89.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
89.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
88.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
88.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
88.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
88.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
87.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
87.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
87.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
87.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
87.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
87.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
87.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
86.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
86.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
86.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
86.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
86.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
85.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
85.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
85.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
85.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
84.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
84.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
84.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
83.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
83.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
83.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
83.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
83.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
82.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
82.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
82.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
81.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
81.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
81.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
81.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
80.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
80.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
80.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
80.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
79.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
79.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
79.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
78.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
78.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
78.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
78.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
77.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
77.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
77.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
76.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
76.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
76.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
75.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
75.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
74.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
74.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
73.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
73.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
72.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
72.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
72.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
71.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
71.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
71.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
71.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
71.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
69.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
66.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
66.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
65.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
55.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
43.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.3
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.
HP1BP3 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
50.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
117.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
100.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
96.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
90.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
84.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
79.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
78.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
75.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
75.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
75.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
74.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
73.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
73.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
66.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
66.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
65.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
65.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
63.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
63.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
62.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
62.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
60.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
59.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
59.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
57.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
57.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
57.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
56.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
56.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
56.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
56.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
55.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
55.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
54.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
54.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
53.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
53.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
52.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
52.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
52.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
51.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
51.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
50.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
50.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
49.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
49.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
49.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
48.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
48.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
47.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
46.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
45.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
45.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
44.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
44.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
43.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
43.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
43.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
42.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
42.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
41.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
41.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
40.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
40.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
39.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
39.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
37.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
37.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
36.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
36.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
35.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
35.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
33.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
31.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
30.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
30.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
30.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
29.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
28.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
28.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
28.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
27.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
24.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
22.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
19.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
14.3
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.
HP1BP3 is potential prognostic, high expression is favorable 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
101.8
Number of samples
207
Samples
Sample
Description
TPM
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
199.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
192.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
171.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
170.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
157.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
155.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
152.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
149.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
148.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
141.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
139.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
139.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
138.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
136.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
136.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
135.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
134.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
132.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
131.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
131.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
130.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
130.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
128.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
127.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
127.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
126.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
126.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
126.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
125.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
125.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
124.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
124.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
124.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
123.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
123.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
123.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
123.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
123.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
121.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
121.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
120.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
120.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
120.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
120.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
120.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
120.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
120.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
120.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
119.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
118.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
117.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
116.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
116.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
115.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
115.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
115.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
115.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
115.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
115.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
115.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
115.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
115.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
115.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
114.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
113.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
113.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
113.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
112.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
111.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
111.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
111.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
111.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
111.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
110.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
109.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
108.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
108.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
107.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
106.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
106.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
106.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
105.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
105.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
105.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
105.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
105.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
104.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
104.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
104.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
104.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
104.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
103.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
103.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
103.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
103.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
102.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
102.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
102.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
101.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
101.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
101.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
101.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
101.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
100.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
99.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
99.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
99.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
99.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
98.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
98.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
97.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
97.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
97.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
97.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
96.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
96.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
96.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
96.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
96.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
95.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
95.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
95.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
95.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
94.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
94.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
94.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
94.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
93.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
92.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
92.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
91.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
91.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
91.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
90.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
90.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
90.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
89.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
89.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
89.1
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
89.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
88.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
87.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
87.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
87.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
87.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
87.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
86.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
86.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
85.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
85.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
84.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
84.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
84.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
84.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
83.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
83.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
83.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
83.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
82.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
82.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
82.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
81.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
81.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
80.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
80.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
79.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
79.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
79.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
78.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
78.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
78.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
78.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
77.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
77.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
76.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
76.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
76.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
75.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
74.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
74.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
73.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
73.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
73.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
73.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
73.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
73.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
73.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
73.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
72.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
72.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
72.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
72.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
71.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
70.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
69.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
68.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
68.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
67.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
66.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
64.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
60.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
60.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
59.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
57.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
57.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
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Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
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Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
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Normal
0.0
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Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
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Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
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Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
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Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
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Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
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Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
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Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
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Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
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Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
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Tumor
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
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
