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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.
PTP4A2 is potential prognostic, high expression is favorable 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
107.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
228.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
223.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
222.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
207.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
198.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
191.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
184.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
183.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
183.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
181.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
175.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
174.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
172.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
169.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
168.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
164.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
162.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
162.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
160.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
159.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
158.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
157.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
157.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
156.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
152.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
151.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
150.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
149.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
146.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
145.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
145.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
143.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
143.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
142.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
141.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
140.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
140.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
140.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
140.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
139.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
139.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
138.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
138.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
137.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
136.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
135.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
135.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
134.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
134.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
134.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
133.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
133.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
132.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
132.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
131.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
131.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
130.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
130.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
130.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
130.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
129.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
129.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
126.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
126.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
126.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
125.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
125.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
125.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
125.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
125.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
125.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
125.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
124.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
124.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
124.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
123.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
123.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
122.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
122.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
121.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
120.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
120.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
120.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
119.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
119.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
118.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
118.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
118.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
117.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
117.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
117.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
117.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
117.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
116.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
116.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
115.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
115.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
114.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
114.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
113.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
113.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
113.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
113.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
112.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
112.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
112.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
111.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
110.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
110.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
109.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
109.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
109.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
108.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
108.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
107.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
107.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
107.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
106.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
105.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
104.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
104.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
103.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
102.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
102.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
102.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
101.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
100.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
100.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
100.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
100.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
99.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
99.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
99.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
98.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
98.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
98.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
98.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
98.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
98.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
98.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
98.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
98.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
97.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
96.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
95.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
95.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
95.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
95.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
95.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
94.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
93.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
93.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
93.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
93.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
92.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
92.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
92.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
92.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
91.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
91.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
91.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
91.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
90.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
90.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
90.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
90.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
90.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
89.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
89.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
89.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
89.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
89.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
88.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
88.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
87.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
86.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
86.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
86.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
85.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
85.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
84.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
84.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
84.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
84.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
83.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
83.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
83.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
83.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
81.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
80.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
80.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
80.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
80.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
80.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
79.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
79.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
79.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
78.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
78.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
78.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
78.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
78.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
78.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
77.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
77.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
77.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
77.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
77.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
76.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
76.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
76.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
76.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
76.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
74.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
74.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
74.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
73.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
73.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
72.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
72.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
72.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
71.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
71.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
71.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
70.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
69.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
69.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
68.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
68.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
68.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
68.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
67.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
67.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
67.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
63.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
63.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
63.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
62.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
61.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
61.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
59.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
59.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
58.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
58.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
56.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
54.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
54.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
53.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
51.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
46.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
45.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
44.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 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.
PTP4A2 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
216.2
Number of samples
486
Samples
Sample
Description
TPM
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
526.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
495.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
470.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
453.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
424.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
424.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
406.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
393.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
390.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
381.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
376.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
375.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
374.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
369.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
355.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
350.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
348.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
343.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
342.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
341.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
338.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
337.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
337.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
333.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
331.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
331.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
329.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
329.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
328.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
326.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
326.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
326.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
326.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
314.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
312.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
310.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
309.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
309.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
308.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
308.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
304.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
304.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
302.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
302.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
301.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
301.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
301.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
300.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
300.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
299.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
298.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
295.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
294.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
293.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
293.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
292.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
292.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
291.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
290.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
289.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
285.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
284.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
283.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
280.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
279.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
279.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
279.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
277.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
276.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
276.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
275.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
275.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
275.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
275.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
274.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
272.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
270.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
269.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
269.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
269.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
269.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
266.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
265.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
265.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
263.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
262.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
262.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
262.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
260.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
260.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
260.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
259.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
259.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
259.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
259.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
258.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
258.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
257.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
257.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
257.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
257.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
257.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
256.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
255.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
255.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
254.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
254.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
253.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
253.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
253.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
252.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
252.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
251.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
251.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
251.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
250.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
250.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
249.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
249.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
248.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
247.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
246.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
246.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
244.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
244.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
244.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
243.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
242.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
242.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
241.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
241.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
241.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
241.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
240.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
240.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
240.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
240.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
240.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
238.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
238.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
238.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
238.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
238.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
238.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
237.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
237.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
237.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
237.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
237.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
237.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
237.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
237.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
237.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
236.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
235.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
235.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
235.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
234.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
234.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
234.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
233.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
233.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
233.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
233.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
233.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
233.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
232.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
232.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
231.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
231.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
230.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
230.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
230.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
230.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
229.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
229.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
229.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
229.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
228.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
228.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
228.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
228.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
227.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
227.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
226.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
226.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
226.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
226.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
226.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
225.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
225.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
225.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
225.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
224.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
223.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
223.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
223.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
222.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
222.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
222.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
221.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
221.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
220.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
220.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
220.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
219.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
219.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
218.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
218.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
218.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
217.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
217.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
217.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
217.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
217.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
216.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
216.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
216.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
215.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
215.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
214.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
214.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
214.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
213.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
213.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
213.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
213.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
213.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
213.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
213.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
212.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
212.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
212.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
211.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
210.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
210.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
210.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
209.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
209.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
209.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
209.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
209.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
209.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
209.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
208.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
208.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
208.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
208.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
207.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
207.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
207.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
207.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
206.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
206.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
205.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
205.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
205.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
205.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
205.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
205.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
204.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
203.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
203.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
203.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
203.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
203.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
203.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
203.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
203.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
203.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
203.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
201.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
200.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
200.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
200.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
199.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
199.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
199.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
199.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
198.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
198.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
198.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
197.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
197.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
196.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
196.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
195.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
195.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
195.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
194.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
194.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
194.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
192.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
192.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
192.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
192.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
192.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
192.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
192.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
192.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
191.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
191.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
190.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
190.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
190.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
190.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
188.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
188.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
188.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
188.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
187.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
187.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
186.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
186.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
186.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
185.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
185.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
185.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
184.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
184.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
184.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
184.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
184.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
183.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
183.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
183.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
183.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
183.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
183.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
183.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
183.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
182.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
182.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
182.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
182.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
182.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
181.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
181.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
181.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
181.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
180.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
180.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
180.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
179.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
179.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
178.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
178.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
178.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
178.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
178.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
177.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
177.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
177.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
177.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
177.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
177.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
176.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
176.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
176.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
176.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
175.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
175.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
175.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
175.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
175.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
174.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
173.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
173.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
171.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
171.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
171.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
171.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
171.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
171.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
171.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
171.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
171.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
170.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
170.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
170.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
170.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
170.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
169.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
169.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
169.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
169.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
168.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
167.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
165.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
165.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
165.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
165.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
165.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
165.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
164.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
164.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
163.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
163.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
163.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
163.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
162.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
162.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
162.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
161.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
161.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
161.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
160.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
159.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
158.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
158.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
157.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
157.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
156.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
155.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
155.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
155.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
155.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
154.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
154.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
154.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
153.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
153.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
153.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
152.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
152.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
152.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
151.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
151.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
150.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
150.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
150.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
149.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
149.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
148.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
146.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
145.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
144.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
144.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
143.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
142.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
142.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
142.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
142.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
141.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
141.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
141.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
140.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
140.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
140.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
139.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
137.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
137.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
137.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
136.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
136.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
136.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
135.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
135.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
134.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
134.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
131.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
131.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
129.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
128.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
128.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
128.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
125.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
125.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
120.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
120.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
119.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
116.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
116.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
115.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
114.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
113.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
113.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
109.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
108.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
106.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
105.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
103.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
99.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
99.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PTP4A2 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
104.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
212.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
183.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
177.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
164.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
157.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
156.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
154.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
151.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
145.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
145.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
137.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
135.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
134.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
131.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
131.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
127.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
126.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
125.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
123.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
122.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
120.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
120.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
119.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
116.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
115.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
115.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
115.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
113.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
113.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
112.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
112.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
112.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
112.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
109.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
109.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
109.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
109.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
108.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
107.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
107.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
107.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
105.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
105.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
105.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
105.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
105.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
104.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
104.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
103.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
103.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
101.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
99.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
98.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
97.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
94.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
94.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
92.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
91.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
90.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
90.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
90.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
89.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
89.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
83.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
83.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
83.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
83.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
81.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
80.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
76.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
75.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
72.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
72.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
72.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
71.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
70.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
66.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
65.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
64.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
62.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
61.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
59.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
56.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
51.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
49.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
43.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 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.
PTP4A2 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
186.5
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
347.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
343.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
309.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
294.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
291.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
290.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
287.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
286.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
283.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
275.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
274.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
267.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
265.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
259.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
256.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
255.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
254.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
249.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
246.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
245.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
244.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
244.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
244.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
243.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
243.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
242.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
242.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
242.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
239.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
239.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
238.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
236.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
233.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
232.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
232.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
231.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
230.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
229.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
227.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
227.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
226.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
225.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
225.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
224.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
224.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
223.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
222.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
218.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
217.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
217.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
217.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
216.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
216.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
215.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
215.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
215.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
214.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
213.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
212.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
212.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
212.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
210.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
209.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
208.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
207.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
203.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
203.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
201.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
201.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
200.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
200.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
200.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
199.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
199.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
198.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
197.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
197.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
196.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
196.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
196.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
195.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
195.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
195.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
195.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
195.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
192.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
192.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
192.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
190.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
190.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
190.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
190.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
189.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
189.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
188.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
188.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
186.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
186.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
186.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
184.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
183.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
182.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
180.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
180.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
180.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
179.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
178.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
178.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
178.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
178.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
178.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
178.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
176.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
176.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
176.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
174.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
174.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
174.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
173.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
172.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
172.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
172.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
169.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
169.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
169.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
167.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
167.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
166.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
166.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
166.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
165.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
165.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
164.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
164.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
163.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
163.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
163.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
162.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
162.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
162.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
162.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
162.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
161.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
161.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
160.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
160.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
159.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
158.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
158.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
158.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
156.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
156.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
155.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
155.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
154.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
154.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
152.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
152.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
152.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
151.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
150.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
150.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
150.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
150.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
149.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
149.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
147.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
147.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
147.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
145.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
144.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
143.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
143.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
142.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
141.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
139.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
139.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
136.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
134.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
134.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
133.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
133.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
133.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
132.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
132.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
132.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
132.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
132.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
131.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
130.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
130.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
128.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
128.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
125.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
119.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
119.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
119.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
118.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
114.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
112.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
109.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
106.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
103.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
100.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
80.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
71.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.8
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-1.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-1.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-1.3
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
