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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.
REEP5 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
57.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
116.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
108.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
98.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
91.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
89.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
87.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
87.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
87.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
86.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
86.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
86.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
83.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
83.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
82.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
82.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
81.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
80.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
79.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
79.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
79.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
78.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
77.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
76.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
76.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
76.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
75.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
75.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
75.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
74.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
74.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
74.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
73.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
73.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
73.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
72.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
72.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
71.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
71.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
71.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
71.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
71.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
70.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
70.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
70.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
70.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
70.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
70.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
70.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
70.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
69.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
68.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
68.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
68.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
68.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
68.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
67.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
67.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
67.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
67.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
67.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
67.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
67.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
66.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
66.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
66.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
66.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
66.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
65.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
65.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
65.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
65.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
65.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
64.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
64.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
63.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
63.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
63.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
63.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
63.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
63.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
63.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
63.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
63.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
63.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
63.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
62.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
62.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
62.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
62.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
62.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
62.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
62.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
62.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
62.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
62.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
61.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
61.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
61.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
61.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
61.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
61.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
61.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
61.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
61.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
61.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
60.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
60.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
59.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
59.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
59.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
59.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
59.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
58.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
58.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
58.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
58.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
58.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
57.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
57.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
57.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
57.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
56.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
56.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
56.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
56.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
56.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
55.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
55.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
55.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
55.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
55.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
55.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
55.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
55.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
54.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
54.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
54.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
54.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
54.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
54.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
53.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
53.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
53.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
53.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
53.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
53.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
53.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
53.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
53.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
52.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
52.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
52.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
52.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
52.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
52.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
52.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
51.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
51.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
51.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
51.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
51.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
51.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
51.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
51.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
50.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
50.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
50.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
50.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
50.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
49.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
49.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
49.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
49.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
49.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
49.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
49.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
49.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
48.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
48.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
48.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
48.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
48.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
47.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
47.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
47.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
47.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
47.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
47.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
47.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
46.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
46.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
46.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
46.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
45.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
45.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
45.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
45.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
44.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
44.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
43.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
43.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
43.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
43.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
43.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
42.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
42.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
42.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
42.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
41.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
41.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
41.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
41.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
41.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
40.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
40.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
40.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
39.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
39.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
38.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
38.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
38.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
38.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
38.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
38.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
37.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
37.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
37.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
37.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
37.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
36.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
36.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
36.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
35.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
34.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
33.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
32.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
32.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
30.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
29.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
29.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
28.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
28.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
28.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
26.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
25.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
24.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
24.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 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.
REEP5 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
46.1
Number of samples
486
Samples
Sample
Description
TPM
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
74.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
71.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
70.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
69.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
69.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
68.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
68.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
67.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
66.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
66.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
66.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
65.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
64.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
64.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
64.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
63.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
63.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
63.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
63.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
62.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
62.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
62.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
62.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
61.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
61.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
61.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
61.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
61.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
60.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
60.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
60.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
60.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
59.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
59.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
59.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
59.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
59.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
59.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
59.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
59.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
59.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
59.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
58.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
58.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
58.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
58.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
58.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
58.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
57.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
57.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
57.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
57.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
57.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
57.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
57.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
57.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
57.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
57.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
57.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
57.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
56.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
56.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
56.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
56.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
56.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
56.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
55.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
55.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
55.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
55.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
55.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
55.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
55.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
55.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
54.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
54.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
54.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
54.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
54.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
54.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
54.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
54.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
54.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
54.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
54.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
54.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
54.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
53.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
53.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
53.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
53.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
53.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
53.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
53.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
53.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
53.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
53.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
53.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
53.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
52.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
52.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
52.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
52.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
52.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
52.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
52.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
51.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
51.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
51.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
51.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
51.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
51.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
51.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
51.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
51.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
51.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
51.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
51.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
51.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
51.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
51.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
51.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
51.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
51.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
51.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
50.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
50.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
50.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
50.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
50.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
50.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
50.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
50.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
50.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
50.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
50.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
50.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
50.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
50.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
50.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
50.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
49.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
49.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
49.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
49.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
49.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
49.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
49.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
49.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
49.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
49.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
48.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
48.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
48.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
48.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
48.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
48.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
48.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
48.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
48.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
48.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
48.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
48.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
48.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
48.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
48.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
48.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
47.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
47.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
47.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
47.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
47.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
47.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
47.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
47.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
47.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
47.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
47.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
47.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
47.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
47.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
47.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
47.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
47.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
47.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
46.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
46.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
46.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
46.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
46.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
46.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
46.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
46.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
46.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
46.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
46.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
46.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
46.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
46.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
46.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
46.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
46.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
45.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
45.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
45.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
45.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
45.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
45.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
45.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
45.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
45.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
45.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
45.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
45.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
45.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
45.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
45.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
45.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
45.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
45.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
45.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
45.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
44.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
44.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
44.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
44.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
44.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
44.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
44.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
44.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
44.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
44.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
44.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
44.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
44.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
44.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
44.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
44.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
44.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
44.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
44.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
43.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
43.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
43.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
43.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
43.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
43.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
43.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
43.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
43.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
43.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
43.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
43.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
43.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
43.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
43.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
43.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
43.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
43.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
43.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
43.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
43.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
43.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
42.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
42.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
42.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
42.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
42.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
42.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
42.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
42.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
42.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
42.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
42.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
42.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
42.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
42.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
42.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
42.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
42.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
42.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
42.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
42.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
42.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
41.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
41.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
41.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
41.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
41.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
41.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
41.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
41.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
41.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
41.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
41.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
41.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
40.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
40.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
40.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
40.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
40.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
40.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
40.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
40.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
40.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
39.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
39.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
39.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
39.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
39.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
39.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
39.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
39.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
39.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
39.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
39.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
39.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
38.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
38.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
38.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
38.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
38.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
38.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
38.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
37.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
37.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
37.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
37.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
37.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
37.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
37.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
37.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
37.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
36.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
36.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
36.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
36.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
36.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
36.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
36.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
36.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
35.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
35.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
35.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
35.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
35.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
35.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
35.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
35.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
35.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
35.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
35.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
34.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
34.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
34.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
34.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
34.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
34.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
34.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
34.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
34.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
34.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
33.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
33.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
33.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
33.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
33.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
32.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
32.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
32.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
31.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
31.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
31.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
31.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
31.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
31.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
31.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
31.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
31.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
30.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
30.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
30.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
29.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
29.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
29.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
29.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
27.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
27.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
26.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
26.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
26.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
26.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
24.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
22.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
22.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
21.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
20.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
17.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.6
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.
REEP5 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
55.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
101.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
101.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
87.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
85.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
83.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
82.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
80.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
80.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
78.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
77.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
77.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
77.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
75.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
75.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
72.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
72.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
70.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
70.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
68.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
67.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
67.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
66.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
66.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
65.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
65.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
64.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
62.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
62.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
62.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
61.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
61.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
60.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
59.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
59.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
59.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
58.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
57.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
57.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
56.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
56.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
55.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
54.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
53.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
53.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
53.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
53.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
53.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
52.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
52.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
52.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
51.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
51.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
51.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
50.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
49.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
49.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
48.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
47.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
47.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
47.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
46.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
46.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
46.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
46.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
46.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
46.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
44.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
44.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
42.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
42.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
41.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
41.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
41.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
41.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
40.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
40.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
40.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
37.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
36.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
32.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
32.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
31.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
30.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
30.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
29.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
28.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
23.7
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.
REEP5 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
42.5
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
82.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
75.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
75.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
69.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
69.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
66.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
63.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
61.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
60.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
60.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
59.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
58.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
57.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
57.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
57.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
56.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
56.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
55.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
55.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
54.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
54.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
53.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
53.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
53.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
53.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
52.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
52.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
52.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
52.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
51.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
51.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
51.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
50.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
50.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
50.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
50.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
49.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
48.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
48.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
48.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
48.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
48.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
47.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
47.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
47.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
47.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
47.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
47.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
47.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
47.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
47.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
47.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
46.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
46.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
46.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
46.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
46.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
46.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
46.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
46.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
45.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
45.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
45.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
45.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
45.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
45.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
44.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
44.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
44.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
44.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
44.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
44.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
44.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
44.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
44.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
44.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
43.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
43.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
43.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
43.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
43.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
43.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
43.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
43.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
43.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
42.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
42.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
42.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
42.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
42.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
42.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
42.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
41.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
41.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
41.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
41.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
41.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
40.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
40.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
40.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
40.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
40.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
40.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
40.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
40.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
39.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
39.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
39.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
39.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
39.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
39.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
38.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
38.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
37.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
37.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
37.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
37.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
37.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
36.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
36.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
36.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
36.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
35.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
35.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
35.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
35.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
35.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
34.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
34.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
33.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
33.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
33.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
32.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
31.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
31.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
31.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
29.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
29.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
29.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
27.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
27.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
25.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
25.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
24.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
23.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
22.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
21.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
19.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
17.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
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Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
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Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
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Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
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Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
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Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
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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Normal
0.1
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Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
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Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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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
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-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
-0.3
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Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
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Tumor
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
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
