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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.
LARP1 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
51.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
92.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
91.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
88.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
86.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
84.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
83.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
83.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
82.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
82.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
82.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
81.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
80.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
78.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
74.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
73.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
73.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
72.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
72.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
72.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
72.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
72.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
71.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
71.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
71.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
70.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
70.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
70.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
70.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
69.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
69.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
69.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
69.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
69.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
69.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
68.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
68.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
68.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
67.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
67.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
67.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
67.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
67.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
66.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
66.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
66.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
66.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
65.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
65.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
65.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
65.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
64.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
64.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
64.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
64.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
63.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
63.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
63.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
62.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
61.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
61.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
60.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
60.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
60.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
60.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
60.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
59.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
59.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
59.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
59.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
59.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
59.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
58.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
57.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
57.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
57.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
57.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
57.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
56.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
56.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
56.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
56.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
55.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
55.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
55.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
55.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
55.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
55.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
55.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
55.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
54.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
54.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
54.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
54.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
53.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
53.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
53.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
53.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
53.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
53.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
53.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
53.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
53.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
53.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
52.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
52.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
52.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
52.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
51.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
51.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
51.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
51.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
51.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
50.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
50.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
50.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
50.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
50.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
49.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
49.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
49.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
49.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
49.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
49.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
49.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
49.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
49.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
49.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
48.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
48.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
48.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
48.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
48.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
48.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
48.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
47.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
47.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
47.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
47.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
47.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
47.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
47.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
47.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
47.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
46.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
46.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
46.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
46.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
45.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
45.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
45.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
45.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
45.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
45.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
45.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
45.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
44.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
44.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
44.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
44.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
43.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
43.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
43.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
43.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
43.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
43.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
43.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
43.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
43.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
43.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
43.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
42.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
42.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
42.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
42.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
42.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
42.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
41.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
41.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
41.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
41.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
41.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
41.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
40.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
40.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
40.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
40.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
40.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
39.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
39.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
39.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
39.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
39.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
39.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
38.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
38.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
38.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
38.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
38.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
38.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
37.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
37.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
37.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
37.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
37.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
36.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
36.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
36.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
36.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
36.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
36.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
35.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
35.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
34.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
34.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
34.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
34.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
34.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
33.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
32.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
32.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
32.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
32.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
32.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
32.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
31.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
31.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
31.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
31.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
30.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
29.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
29.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
27.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
27.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
26.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
24.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
24.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
24.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
18.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
18.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
17.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
14.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
LARP1 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
139.2
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
323.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
284.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
234.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
231.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
228.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
226.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
222.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
219.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
215.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
214.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
213.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
213.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
211.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
210.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
207.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
206.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
204.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
204.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
203.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
202.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
202.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
202.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
201.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
200.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
200.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
199.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
195.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
194.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
193.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
191.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
191.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
191.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
190.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
190.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
189.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
188.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
188.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
188.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
187.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
187.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
187.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
186.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
186.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
183.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
181.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
179.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
179.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
179.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
179.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
178.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
178.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
177.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
177.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
177.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
176.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
176.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
176.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
176.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
176.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
176.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
175.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
175.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
175.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
174.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
174.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
173.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
173.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
173.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
172.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
172.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
172.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
171.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
171.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
171.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
171.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
171.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
171.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
170.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
170.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
170.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
170.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
170.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
169.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
169.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
168.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
168.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
168.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
168.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
168.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
167.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
167.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
167.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
167.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
166.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
165.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
165.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
165.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
165.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
164.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
164.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
164.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
164.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
163.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
163.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
163.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
163.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
162.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
162.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
162.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
162.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
162.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
162.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
162.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
162.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
161.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
161.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
161.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
161.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
160.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
160.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
160.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
160.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
159.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
159.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
159.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
159.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
158.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
158.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
158.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
158.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
158.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
158.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
158.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
157.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
157.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
157.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
156.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
156.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
155.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
155.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
155.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
155.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
155.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
154.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
154.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
154.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
154.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
154.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
154.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
154.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
154.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
153.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
153.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
152.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
152.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
152.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
152.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
152.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
151.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
151.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
151.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
151.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
150.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
150.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
149.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
149.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
149.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
149.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
149.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
149.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
149.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
149.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
149.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
149.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
148.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
148.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
148.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
148.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
148.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
147.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
147.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
147.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
147.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
147.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
147.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
147.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
146.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
146.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
146.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
146.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
146.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
146.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
146.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
146.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
146.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
145.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
144.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
144.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
144.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
144.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
144.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
144.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
143.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
143.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
143.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
143.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
143.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
142.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
142.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
142.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
142.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
142.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
142.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
142.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
141.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
141.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
141.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
141.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
141.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
141.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
141.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
140.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
140.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
140.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
140.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
139.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
139.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
139.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
139.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
138.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
138.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
138.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
138.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
137.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
137.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
137.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
137.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
137.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
136.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
136.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
136.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
136.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
136.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
136.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
136.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
136.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
135.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
135.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
135.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
135.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
135.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
135.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
134.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
134.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
134.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
134.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
134.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
133.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
133.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
133.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
133.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
132.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
132.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
132.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
132.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
132.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
131.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
131.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
131.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
131.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
131.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
131.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
131.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
130.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
130.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
130.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
130.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
130.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
130.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
130.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
130.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
130.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
129.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
129.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
129.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
129.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
129.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
129.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
129.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
128.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
128.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
128.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
128.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
127.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
127.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
127.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
127.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
127.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
127.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
127.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
127.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
126.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
126.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
126.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
125.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
125.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
125.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
125.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
125.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
125.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
125.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
125.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
125.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
125.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
125.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
125.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
124.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
124.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
123.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
123.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
123.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
123.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
122.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
122.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
122.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
122.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
122.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
121.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
121.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
121.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
121.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
121.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
121.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
120.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
120.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
120.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
120.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
119.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
119.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
119.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
118.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
118.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
118.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
118.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
118.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
118.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
117.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
117.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
117.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
117.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
117.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
117.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
117.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
117.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
117.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
116.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
116.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
116.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
116.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
115.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
115.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
115.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
115.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
115.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
115.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
115.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
115.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
114.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
114.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
114.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
114.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
113.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
113.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
113.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
113.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
113.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
113.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
112.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
112.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
112.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
112.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
112.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
112.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
112.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
112.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
112.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
112.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
111.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
111.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
111.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
111.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
111.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
111.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
110.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
110.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
110.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
110.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
110.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
109.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
109.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
109.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
109.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
109.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
109.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
108.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
108.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
108.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
107.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
107.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
107.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
107.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
107.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
107.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
107.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
106.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
106.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
106.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
106.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
105.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
105.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
104.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
104.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
104.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
104.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
103.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
103.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
103.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
103.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
102.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
102.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
102.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
102.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
102.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
101.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
100.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
100.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
100.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
100.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
99.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
99.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
99.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
99.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
98.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
97.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
97.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
97.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
96.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
96.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
96.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
95.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
95.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
95.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
94.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
94.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
94.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
94.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
93.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
93.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
93.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
92.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
92.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
92.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
91.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
90.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
90.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
89.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
89.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
87.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
87.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
87.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
86.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
86.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
86.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
84.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
84.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
83.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
83.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
82.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
82.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
78.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
76.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
70.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
69.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
22.9
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.
LARP1 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
48.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
94.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
88.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
78.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
78.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
77.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
74.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
72.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
72.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
66.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
65.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
65.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
64.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
64.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
64.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
63.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
63.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
63.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
62.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
62.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
61.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
61.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
60.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
60.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
60.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
58.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
58.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
57.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
56.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
56.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
55.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
53.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
52.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
52.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
52.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
52.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
52.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
51.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
50.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
50.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
49.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
49.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
49.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
49.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
49.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
48.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
48.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
48.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
48.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
48.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
47.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
47.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
46.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
45.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
45.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
45.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
44.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
44.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
43.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
42.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
41.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
40.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
39.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
39.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
38.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
38.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
37.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
36.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
36.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
36.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
36.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
33.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
32.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
32.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
31.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
28.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
26.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
26.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
25.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
25.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
20.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
19.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
19.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
17.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
16.6
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.
LARP1 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
132.2
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
254.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
237.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
230.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
212.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
210.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
204.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
197.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
195.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
194.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
188.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
185.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
183.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
180.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
179.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
178.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
178.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
177.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
176.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
175.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
172.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
168.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
168.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
168.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
166.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
165.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
165.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
164.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
163.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
163.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
162.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
161.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
161.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
161.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
160.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
160.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
159.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
158.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
157.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
156.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
155.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
155.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
155.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
155.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
153.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
153.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
153.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
153.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
153.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
153.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
152.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
152.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
151.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
150.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
150.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
150.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
149.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
149.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
148.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
148.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
148.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
147.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
147.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
147.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
146.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
146.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
146.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
145.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
145.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
144.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
143.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
143.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
143.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
143.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
142.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
142.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
141.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
141.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
141.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
139.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
139.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
137.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
135.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
135.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
135.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
134.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
134.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
132.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
132.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
130.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
130.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
130.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
130.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
130.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
130.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
129.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
128.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
128.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
128.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
128.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
127.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
127.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
127.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
127.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
127.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
126.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
126.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
126.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
126.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
126.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
126.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
125.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
125.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
125.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
124.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
124.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
124.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
124.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
123.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
123.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
123.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
122.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
121.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
120.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
120.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
120.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
119.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
119.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
119.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
119.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
118.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
118.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
118.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
118.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
118.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
117.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
117.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
117.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
116.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
116.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
116.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
116.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
116.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
116.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
116.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
115.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
115.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
114.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
114.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
114.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
114.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
114.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
114.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
114.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
113.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
113.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
112.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
111.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
110.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
110.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
110.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
109.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
108.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
106.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
106.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
106.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
105.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
105.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
104.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
104.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
103.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
103.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
103.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
102.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
102.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
102.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
102.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
102.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
101.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
101.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
100.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
100.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
100.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
99.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
99.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
99.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
98.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
97.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
96.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
96.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
96.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
95.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
94.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
93.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
93.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
92.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
88.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
88.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
87.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
85.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
84.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
81.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
80.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
80.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
80.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
79.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
78.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
56.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.8
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
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Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
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Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
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Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
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Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
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
