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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.
MMP2 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
136.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1334.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1021.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
876.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
864.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
862.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
604.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
582.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
566.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
562.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
534.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
524.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
518.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
501.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
498.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
423.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
388.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
387.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
384.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
381.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
381.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
374.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
350.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
344.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
338.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
337.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
300.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
299.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
297.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
293.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
281.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
274.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
270.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
269.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
255.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
249.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
246.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
245.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
241.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
236.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
234.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
224.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
217.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
212.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
204.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
198.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
193.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
192.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
191.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
191.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
190.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
190.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
188.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
187.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
187.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
185.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
181.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
181.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
178.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
178.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
177.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
175.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
171.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
166.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
165.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
164.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
164.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
163.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
160.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
157.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
156.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
155.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
152.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
151.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
150.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
149.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
147.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
147.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
145.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
144.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
142.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
140.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
139.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
137.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
136.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
136.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
132.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
131.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
131.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
129.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
128.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
125.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
125.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
122.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
120.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
118.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
117.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
116.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
115.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
114.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
113.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
112.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
110.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
110.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
108.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
103.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
101.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
101.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
99.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
99.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
99.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
97.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
95.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
92.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
92.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
91.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
91.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
91.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
89.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
88.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
88.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
87.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
86.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
85.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
85.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
83.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
83.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
83.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
82.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
81.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
80.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
80.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
79.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
77.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
77.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
77.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
76.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
76.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
76.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
74.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
73.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
73.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
71.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
71.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
69.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
68.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
68.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
67.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
65.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
64.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
62.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
62.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
61.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
60.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
59.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
59.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
58.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
58.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
52.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
52.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
51.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
50.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
49.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
49.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
48.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
47.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
47.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
46.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
46.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
45.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
45.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
44.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
44.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
44.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
43.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
43.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
43.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
42.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
42.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
40.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
40.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
39.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
38.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
38.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
36.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
35.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
34.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
33.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
33.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
33.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
32.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
29.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
28.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
28.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
28.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
27.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
26.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
26.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
25.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
25.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
24.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
24.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
23.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
23.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
23.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
21.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
21.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
20.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
20.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
19.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
19.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
19.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
18.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
17.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
17.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
17.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
17.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
16.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
16.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
16.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
16.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
14.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
14.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
14.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
14.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
13.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
12.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
12.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
11.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
11.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
10.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
10.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
9.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
8.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
6.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
5.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
5.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
5.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
MMP2 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
230.8
Number of samples
486
Samples
Sample
Description
TPM
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
1107.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
983.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
961.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
883.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
838.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
770.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
736.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
725.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
719.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
719.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
713.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
685.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
684.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
675.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
670.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
655.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
630.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
625.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
621.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
608.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
598.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
565.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
564.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
564.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
562.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
558.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
547.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
541.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
536.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
531.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
530.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
520.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
519.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
517.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
510.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
504.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
494.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
486.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
475.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
470.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
470.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
468.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
468.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
465.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
460.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
460.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
456.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
455.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
453.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
453.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
452.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
447.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
441.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
441.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
440.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
439.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
434.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
433.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
430.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
426.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
424.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
421.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
421.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
418.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
415.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
415.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
413.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
412.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
412.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
411.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
411.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
410.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
409.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
408.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
407.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
405.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
400.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
400.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
396.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
394.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
391.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
383.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
382.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
378.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
376.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
374.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
373.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
367.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
365.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
364.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
362.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
360.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
360.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
356.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
353.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
351.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
351.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
349.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
347.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
345.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
343.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
341.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
341.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
341.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
340.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
340.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
338.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
333.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
330.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
329.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
329.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
329.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
328.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
324.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
323.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
319.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
317.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
316.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
315.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
312.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
312.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
312.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
311.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
310.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
308.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
305.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
304.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
303.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
303.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
301.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
297.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
294.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
292.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
290.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
290.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
289.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
287.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
287.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
287.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
284.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
283.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
282.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
280.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
277.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
277.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
276.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
275.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
274.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
273.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
273.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
273.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
270.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
269.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
269.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
268.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
267.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
267.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
264.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
264.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
264.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
263.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
262.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
260.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
259.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
258.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
257.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
253.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
253.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
251.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
251.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
247.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
245.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
245.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
245.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
242.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
242.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
242.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
241.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
241.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
241.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
239.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
238.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
236.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
235.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
232.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
232.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
230.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
228.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
228.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
227.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
227.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
225.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
224.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
224.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
223.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
223.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
223.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
222.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
222.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
222.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
220.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
220.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
219.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
219.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
219.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
219.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
217.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
217.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
216.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
216.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
216.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
214.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
212.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
211.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
211.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
209.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
208.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
207.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
206.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
204.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
204.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
204.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
203.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
203.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
203.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
203.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
202.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
202.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
201.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
201.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
201.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
198.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
197.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
196.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
196.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
194.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
194.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
191.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
189.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
188.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
188.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
187.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
187.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
186.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
185.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
184.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
183.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
183.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
183.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
182.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
182.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
182.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
182.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
181.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
181.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
180.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
179.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
178.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
178.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
177.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
177.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
177.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
176.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
176.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
176.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
175.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
175.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
173.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
173.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
172.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
170.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
170.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
169.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
168.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
168.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
167.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
167.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
167.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
167.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
165.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
165.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
165.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
162.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
161.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
161.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
159.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
157.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
156.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
156.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
154.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
154.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
153.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
152.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
151.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
151.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
151.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
151.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
151.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
150.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
150.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
148.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
148.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
147.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
146.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
145.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
145.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
144.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
144.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
142.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
141.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
141.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
140.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
140.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
139.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
139.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
139.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
139.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
138.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
138.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
138.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
138.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
137.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
137.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
137.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
135.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
135.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
133.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
132.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
132.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
132.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
131.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
130.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
130.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
128.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
128.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
127.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
126.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
125.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
124.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
123.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
122.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
119.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
118.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
117.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
117.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
117.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
117.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
117.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
117.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
117.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
115.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
115.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
115.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
113.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
113.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
112.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
111.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
110.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
110.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
109.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
108.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
108.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
107.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
106.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
105.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
104.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
103.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
103.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
103.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
102.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
100.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
100.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
100.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
99.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
99.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
98.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
97.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
97.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
97.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
92.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
92.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
91.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
90.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
90.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
88.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
87.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
86.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
84.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
82.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
82.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
81.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
81.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
81.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
81.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
80.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
80.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
80.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
80.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
80.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
80.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
79.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
78.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
78.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
77.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
75.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
75.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
73.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
73.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
73.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
73.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
73.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
72.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
72.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
72.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
71.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
71.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
70.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
69.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
69.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
69.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
68.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
67.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
67.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
67.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
67.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
66.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
64.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
62.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
61.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
59.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
59.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
58.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
58.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
58.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
57.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
56.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
55.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
55.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
55.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
55.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
54.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
54.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
53.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
52.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
51.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
50.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
50.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
50.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
50.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
48.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
48.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
48.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
46.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
45.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
45.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
43.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
43.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
43.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
42.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
42.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
41.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
41.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
40.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
40.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
39.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
39.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
38.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
37.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
34.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
34.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
31.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
30.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
29.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
28.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
26.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
24.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
19.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
15.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
13.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
11.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.5
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.
MMP2 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
143.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
1433.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
992.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
706.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
577.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
531.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
523.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
371.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
351.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
327.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
286.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
278.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
271.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
248.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
201.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
198.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
190.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
186.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
183.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
178.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
172.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
152.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
151.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
136.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
133.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
129.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
129.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
128.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
125.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
124.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
121.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
117.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
115.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
114.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
112.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
110.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
110.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
107.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
104.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
100.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
99.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
90.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
84.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
84.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
83.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
81.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
74.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
72.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
69.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
65.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
63.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
63.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
61.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
60.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
56.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
54.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
52.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
49.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
48.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
48.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
48.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
45.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
44.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
42.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
39.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
35.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
32.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
32.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
31.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
31.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
29.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
28.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
28.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
27.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
27.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
26.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
24.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
23.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
18.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
13.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
10.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
9.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
8.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
8.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
8.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.8
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.
MMP2 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
252.3
Number of samples
207
Samples
Sample
Description
TPM
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1438.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
1351.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1340.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
1214.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
1123.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
1011.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
988.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
911.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
885.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
853.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
837.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
760.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
759.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
753.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
748.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
729.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
728.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
719.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
650.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
624.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
598.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
586.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
571.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
553.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
531.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
509.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
485.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
482.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
480.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
477.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
474.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
473.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
463.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
462.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
444.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
419.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
411.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
407.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
407.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
392.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
391.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
381.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
373.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
354.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
348.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
332.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
326.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
314.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
312.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
308.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
305.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
302.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
300.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
292.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
290.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
288.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
287.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
282.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
279.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
273.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
271.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
270.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
267.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
265.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
264.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
262.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
261.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
257.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
245.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
245.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
245.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
244.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
242.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
241.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
241.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
240.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
238.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
237.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
235.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
235.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
233.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
231.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
219.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
215.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
214.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
200.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
200.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
199.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
197.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
196.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
185.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
179.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
177.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
177.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
172.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
171.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
166.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
166.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
164.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
155.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
153.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
153.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
151.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
150.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
148.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
147.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
145.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
142.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
142.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
134.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
133.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
133.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
131.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
130.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
129.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
129.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
124.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
124.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
122.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
121.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
119.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
119.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
117.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
112.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
110.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
110.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
108.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
108.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
105.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
104.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
104.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
103.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
103.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
102.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
102.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
101.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
101.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
100.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
100.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
100.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
100.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
98.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
95.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
95.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
94.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
93.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
93.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
93.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
92.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
91.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
91.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
89.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
89.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
89.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
89.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
89.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
87.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
85.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
83.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
82.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
80.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
79.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
78.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
77.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
77.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
75.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
74.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
67.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
67.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
66.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
65.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
63.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
59.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
59.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
59.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
58.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
58.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
57.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
56.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
55.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
55.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
54.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
53.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
51.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
50.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
49.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
48.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
42.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
41.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
40.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
34.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
33.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
33.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
29.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
24.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
24.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
21.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
21.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
18.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
17.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
16.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
11.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
1.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
1.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
1.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
1.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.9
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.9
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.8
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.8
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.8
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.9
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.9
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.9
b2400046-1d25-429d-a821-6040a6
Tumor
-0.9
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.9
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
