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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.
MGP is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
136.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2261.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1346.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1236.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1197.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
956.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
888.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
707.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
680.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
633.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
572.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
548.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
510.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
483.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
475.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
473.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
447.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
429.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
414.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
385.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
381.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
363.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
360.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
352.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
349.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
323.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
318.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
318.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
305.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
303.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
300.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
297.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
295.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
288.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
285.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
274.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
273.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
270.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
262.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
260.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
260.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
256.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
238.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
233.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
232.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
228.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
214.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
211.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
202.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
202.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
192.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
185.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
181.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
181.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
171.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
168.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
162.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
161.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
159.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
157.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
154.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
150.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
148.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
147.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
146.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
144.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
144.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
140.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
139.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
136.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
135.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
133.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
133.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
130.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
124.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
123.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
121.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
121.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
117.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
114.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
114.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
112.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
112.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
112.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
110.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
109.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
107.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
104.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
104.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
101.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
100.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
100.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
100.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
100.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
98.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
97.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
97.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
91.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
88.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
87.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
86.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
85.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
85.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
83.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
83.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
81.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
80.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
78.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
76.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
75.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
73.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
69.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
68.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
65.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
64.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
63.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
62.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
61.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
61.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
60.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
60.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
59.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
56.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
55.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
54.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
52.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
51.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
50.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
50.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
50.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
48.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
48.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
48.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
47.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
46.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
45.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
44.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
44.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
43.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
41.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
40.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
40.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
39.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
38.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
38.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
37.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
37.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
37.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
37.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
37.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
37.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
36.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
36.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
35.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
33.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
33.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
31.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
31.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
30.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
30.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
30.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
30.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
29.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
29.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
28.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
28.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
27.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
27.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
27.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
27.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
27.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
27.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
26.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
26.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
25.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
25.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
25.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
25.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
24.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
24.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
24.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
24.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
24.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
24.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
24.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
23.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
23.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
23.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
23.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
23.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
23.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
22.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
22.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
22.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
22.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
22.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
21.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
21.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
21.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
21.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
21.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
20.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
20.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
19.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
18.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
18.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
18.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
17.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
17.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
17.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
17.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
16.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
16.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
15.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
15.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
14.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
14.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
14.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
14.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
13.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
13.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
13.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
13.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
13.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
12.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
12.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
12.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
12.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
12.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
11.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
11.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
10.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
10.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
9.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
9.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
8.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
8.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
8.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
8.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
7.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
7.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
7.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 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.
MGP 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
107.8
Number of samples
486
Samples
Sample
Description
TPM
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
699.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
685.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
627.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
584.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
574.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
548.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
525.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
504.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
502.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
498.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
465.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
456.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
439.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
426.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
423.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
417.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
414.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
404.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
397.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
395.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
380.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
380.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
379.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
378.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
378.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
350.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
348.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
335.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
334.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
330.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
327.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
321.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
320.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
317.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
315.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
315.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
314.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
313.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
310.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
308.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
308.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
278.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
278.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
277.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
275.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
272.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
269.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
269.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
265.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
264.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
263.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
253.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
250.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
247.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
246.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
246.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
245.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
240.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
237.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
237.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
234.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
231.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
231.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
230.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
230.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
227.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
226.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
224.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
222.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
222.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
213.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
212.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
205.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
205.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
202.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
200.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
200.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
199.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
197.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
194.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
191.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
189.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
187.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
185.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
181.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
181.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
179.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
177.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
177.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
176.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
176.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
175.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
175.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
173.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
173.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
171.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
169.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
169.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
168.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
168.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
167.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
165.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
163.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
160.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
159.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
159.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
156.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
156.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
156.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
154.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
153.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
152.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
150.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
149.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
147.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
147.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
145.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
141.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
141.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
141.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
141.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
139.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
139.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
138.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
138.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
138.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
136.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
136.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
134.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
134.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
134.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
134.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
132.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
131.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
130.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
127.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
127.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
122.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
119.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
117.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
117.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
116.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
116.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
116.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
115.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
115.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
112.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
110.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
109.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
109.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
108.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
107.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
107.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
107.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
105.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
105.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
105.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
105.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
105.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
105.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
104.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
104.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
103.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
103.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
103.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
102.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
101.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
100.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
100.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
100.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
99.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
98.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
97.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
97.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
94.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
94.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
94.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
94.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
94.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
94.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
93.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
93.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
93.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
93.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
92.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
91.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
91.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
91.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
91.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
91.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
91.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
89.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
89.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
89.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
88.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
88.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
87.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
86.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
86.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
85.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
85.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
85.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
85.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
85.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
84.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
84.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
81.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
81.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
81.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
80.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
80.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
80.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
79.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
79.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
78.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
75.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
74.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
74.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
74.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
73.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
73.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
73.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
72.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
70.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
70.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
69.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
69.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
69.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
69.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
68.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
66.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
66.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
66.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
65.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
65.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
65.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
64.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
63.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
63.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
63.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
63.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
63.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
63.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
62.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
61.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
61.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
60.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
59.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
59.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
59.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
58.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
58.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
58.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
58.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
57.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
56.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
56.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
56.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
56.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
56.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
55.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
54.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
54.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
54.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
54.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
54.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
53.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
53.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
52.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
52.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
52.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
51.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
50.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
50.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
49.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
48.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
47.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
47.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
47.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
46.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
46.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
45.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
45.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
44.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
44.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
44.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
44.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
44.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
43.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
43.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
43.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
43.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
42.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
42.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
42.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
41.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
41.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
41.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
41.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
40.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
40.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
40.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
40.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
40.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
39.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
39.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
39.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
39.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
39.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
38.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
38.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
38.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
37.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
36.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
36.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
36.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
36.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
36.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
35.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
35.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
35.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
35.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
34.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
34.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
34.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
33.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
33.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
33.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
33.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
33.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
33.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
33.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
32.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
32.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
32.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
32.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
32.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
32.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
32.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
32.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
31.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
31.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
31.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
31.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
31.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
31.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
31.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
31.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
31.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
30.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
30.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
29.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
29.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
29.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
29.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
29.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
29.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
28.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
28.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
28.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
27.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
26.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
26.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
26.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
26.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
25.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
25.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
25.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
25.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
25.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
25.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
24.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
24.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
24.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
24.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
24.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
24.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
23.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
23.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
23.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
22.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
22.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
22.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
22.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
22.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
22.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
21.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
21.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
21.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
21.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
21.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
21.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
20.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
20.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
20.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
20.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
19.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
19.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
19.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
19.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
18.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
18.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
18.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
17.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
17.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
17.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
17.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
17.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
16.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
16.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
16.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
16.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
16.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
16.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
16.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
16.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
16.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
15.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
15.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
15.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
15.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
14.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
14.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
14.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
14.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
14.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
13.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
13.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
13.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
12.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
12.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
12.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
12.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
11.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
11.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
11.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
11.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
11.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
11.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
10.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
10.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
10.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
10.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
9.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
9.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
9.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
9.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
9.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
8.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
8.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
8.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
8.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
7.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
7.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
7.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
6.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
5.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
5.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.9
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.
MGP 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
158.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1170.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
836.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
834.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
796.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
784.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
663.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
648.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
508.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
402.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
350.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
345.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
332.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
267.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
260.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
233.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
231.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
205.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
191.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
187.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
161.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
154.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
150.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
149.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
148.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
142.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
139.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
139.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
131.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
130.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
123.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
122.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
119.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
107.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
105.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
105.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
101.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
100.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
94.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
91.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
91.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
81.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
79.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
79.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
77.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
75.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
72.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
71.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
70.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
67.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
67.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
63.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
60.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
59.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
58.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
57.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
54.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
54.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
54.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
50.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
49.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
47.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
45.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
44.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
43.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
40.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
37.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
33.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
32.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
32.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
31.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
30.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
29.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
28.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
25.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
24.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
24.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
23.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
22.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
21.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
20.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
19.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
17.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
16.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
14.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
13.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
11.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
9.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
MGP 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
112.2
Number of samples
207
Samples
Sample
Description
TPM
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1214.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1013.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
886.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
688.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
668.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
555.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
553.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
431.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
428.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
425.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
417.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
366.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
363.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
345.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
339.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
325.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
324.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
324.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
290.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
287.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
280.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
276.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
267.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
237.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
236.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
234.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
223.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
222.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
219.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
219.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
211.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
206.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
203.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
194.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
193.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
188.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
187.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
186.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
186.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
185.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
178.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
178.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
174.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
169.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
158.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
157.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
150.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
150.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
147.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
145.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
136.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
131.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
122.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
122.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
112.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
112.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
111.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
111.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
110.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
105.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
102.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
101.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
96.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
94.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
92.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
91.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
91.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
91.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
90.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
86.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
86.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
84.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
82.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
80.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
80.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
79.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
78.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
76.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
76.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
75.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
73.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
72.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
72.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
69.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
69.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
66.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
65.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
64.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
64.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
64.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
64.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
58.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
58.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
58.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
52.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
51.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
51.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
49.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
49.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
46.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
46.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
46.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
43.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
43.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
43.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
41.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
40.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
39.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
37.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
37.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
36.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
36.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
36.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
36.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
34.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
33.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
33.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
32.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
31.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
31.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
31.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
30.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
30.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
30.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
29.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
29.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
28.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
28.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
28.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
28.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
26.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
26.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
26.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
25.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
25.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
25.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
25.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
24.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
24.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
24.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
23.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
23.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
23.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
22.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
22.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
22.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
21.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
21.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
21.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
21.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
21.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
20.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
20.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
20.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
19.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
19.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
19.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
18.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
17.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
17.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
16.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
16.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
16.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
15.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
15.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
14.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
14.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
14.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
13.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
13.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
13.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
13.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
12.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
12.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
11.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
11.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
11.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
11.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
10.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
10.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
10.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
10.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
9.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
8.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
7.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
6.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
5.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
2.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.8
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
1.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
1.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
1.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
1.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
1.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
1.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
1.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
1.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
1.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
1.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.9
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.9
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.9
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.9
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.9
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.9
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.9
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.9
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.9
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.8
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.8
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.8
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.6
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.8
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.9
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.9
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-1.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-1.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.4
b2400046-1d25-429d-a821-6040a6
Tumor
-1.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.6
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.7
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.7
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-1.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-2.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-2.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-2.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-2.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-2.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-2.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-2.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-2.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-2.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-2.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-2.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-2.6
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
