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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.
PHPT1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
104.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
413.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
256.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
245.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
244.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
222.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
211.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
199.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
190.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
188.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
187.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
185.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
185.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
183.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
180.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
178.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
174.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
174.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
171.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
170.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
163.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
160.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
157.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
153.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
153.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
153.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
150.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
146.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
145.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
144.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
141.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
141.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
140.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
140.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
140.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
139.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
139.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
138.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
137.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
136.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
136.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
135.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
135.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
133.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
133.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
133.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
132.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
130.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
130.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
130.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
130.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
129.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
129.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
129.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
129.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
128.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
128.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
128.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
128.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
127.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
127.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
127.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
127.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
126.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
126.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
126.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
126.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
125.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
125.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
125.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
124.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
124.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
124.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
123.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
122.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
122.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
122.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
122.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
120.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
120.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
119.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
119.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
118.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
117.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
116.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
115.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
114.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
113.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
112.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
111.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
111.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
109.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
109.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
108.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
108.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
108.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
108.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
108.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
108.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
108.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
108.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
107.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
107.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
107.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
107.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
106.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
106.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
106.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
106.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
106.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
105.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
105.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
105.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
104.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
104.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
102.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
102.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
102.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
102.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
102.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
102.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
101.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
101.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
100.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
100.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
100.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
100.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
100.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
99.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
99.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
99.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
99.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
98.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
98.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
98.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
98.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
98.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
97.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
96.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
96.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
95.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
95.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
95.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
95.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
95.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
94.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
94.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
94.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
94.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
93.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
92.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
91.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
91.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
91.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
90.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
90.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
90.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
89.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
89.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
88.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
87.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
87.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
87.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
86.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
86.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
86.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
86.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
86.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
86.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
85.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
85.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
84.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
83.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
82.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
82.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
82.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
82.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
81.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
80.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
80.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
79.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
79.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
79.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
78.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
78.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
77.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
76.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
76.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
76.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
75.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
75.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
75.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
74.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
74.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
74.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
74.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
74.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
72.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
71.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
71.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
71.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
70.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
70.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
69.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
69.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
69.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
69.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
69.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
68.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
68.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
67.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
67.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
67.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
67.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
66.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
65.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
65.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
65.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
64.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
62.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
61.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
60.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
60.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
59.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
59.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
59.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
58.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
58.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
57.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
56.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
56.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
55.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
54.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
52.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
52.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
51.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
50.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
50.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
50.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
47.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
47.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
47.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
47.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
45.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
44.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
44.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
42.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
40.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
39.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
39.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
39.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
38.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
37.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 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.
PHPT1 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
37.0
Number of samples
486
Samples
Sample
Description
TPM
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
93.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
90.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
88.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
84.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
83.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
80.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
77.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
75.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
72.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
71.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
71.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
71.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
71.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
70.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
70.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
70.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
69.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
69.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
69.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
67.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
66.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
66.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
65.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
64.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
64.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
64.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
64.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
63.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
62.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
62.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
61.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
61.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
60.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
60.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
60.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
60.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
60.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
60.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
59.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
59.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
59.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
59.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
59.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
59.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
58.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
57.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
57.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
57.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
56.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
56.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
56.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
56.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
56.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
55.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
54.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
54.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
54.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
54.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
54.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
54.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
54.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
53.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
53.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
53.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
53.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
52.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
52.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
52.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
51.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
51.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
51.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
51.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
51.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
50.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
50.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
50.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
50.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
50.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
50.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
49.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
49.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
49.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
49.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
49.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
48.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
48.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
48.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
48.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
48.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
48.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
48.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
48.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
48.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
47.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
47.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
47.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
47.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
47.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
47.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
47.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
46.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
46.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
46.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
46.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
46.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
46.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
46.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
46.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
46.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
46.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
45.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
45.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
45.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
45.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
45.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
45.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
45.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
45.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
44.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
44.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
44.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
43.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
43.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
43.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
43.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
43.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
42.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
42.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
42.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
42.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
42.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
42.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
42.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
42.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
42.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
42.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
41.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
41.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
41.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
41.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
41.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
41.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
41.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
41.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
41.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
41.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
41.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
41.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
41.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
41.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
40.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
40.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
40.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
40.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
40.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
39.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
39.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
39.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
39.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
39.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
39.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
39.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
39.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
39.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
38.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
38.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
38.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
38.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
38.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
38.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
38.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
38.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
38.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
38.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
37.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
37.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
37.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
37.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
37.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
37.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
37.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
37.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
37.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
37.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
37.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
37.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
37.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
37.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
37.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
36.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
36.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
36.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
36.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
36.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
36.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
36.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
36.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
36.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
36.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
36.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
36.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
36.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
36.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
36.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
36.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
35.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
35.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
35.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
35.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
35.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
35.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
35.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
35.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
35.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
35.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
35.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
34.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
34.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
34.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
34.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
34.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
34.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
34.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
34.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
34.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
34.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
34.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
33.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
33.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
33.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
33.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
33.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
33.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
32.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
32.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
32.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
32.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
32.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
32.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
32.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
32.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
32.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
32.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
32.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
32.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
32.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
31.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
31.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
31.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
31.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
31.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
31.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
31.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
31.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
31.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
31.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
31.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
31.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
31.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
30.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
30.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
30.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
30.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
30.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
30.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
30.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
30.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
29.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
29.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
29.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
29.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
29.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
29.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
29.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
29.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
29.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
29.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
29.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
29.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
29.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
29.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
28.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
28.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
28.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
28.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
28.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
28.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
28.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
28.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
27.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
27.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
27.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
27.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
27.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
27.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
27.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
27.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
27.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
27.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
27.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
27.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
27.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
27.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
27.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
27.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
27.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
27.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
27.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
27.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
27.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
27.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
27.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
27.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
26.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
26.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
26.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
26.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
26.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
26.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
26.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
26.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
26.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
26.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
26.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
26.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
26.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
26.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
26.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
26.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
25.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
25.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
25.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
25.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
25.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
25.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
25.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
25.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
25.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
25.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
25.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
25.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
25.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
25.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
25.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
25.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
25.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
25.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
25.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
24.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
24.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
24.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
24.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
24.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
24.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
24.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
24.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
24.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
24.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
24.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
24.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
24.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
24.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
24.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
24.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
24.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
23.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
23.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
23.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
23.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
23.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
23.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
23.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
23.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
23.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
23.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
22.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
22.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
22.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
22.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
22.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
22.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
22.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
22.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
22.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
22.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
21.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
21.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
21.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
21.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
21.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
21.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
21.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
21.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
21.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
21.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
21.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
21.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
20.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
20.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
20.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
20.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
20.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
20.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
19.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
19.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
19.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
19.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
19.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
18.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
18.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
18.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
18.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
17.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
17.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
17.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
16.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
16.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
16.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
16.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
15.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
15.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
15.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
14.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
14.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
14.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
13.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
13.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
13.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
13.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
13.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
12.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
12.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
11.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
10.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
9.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
9.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
7.8
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.
PHPT1 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
101.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
256.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
249.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
212.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
205.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
194.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
182.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
178.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
175.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
163.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
153.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
150.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
143.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
142.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
131.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
130.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
128.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
126.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
126.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
125.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
125.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
123.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
120.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
119.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
118.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
117.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
114.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
113.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
113.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
111.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
111.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
110.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
106.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
104.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
104.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
103.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
103.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
98.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
98.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
98.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
98.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
97.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
96.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
93.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
91.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
90.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
90.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
90.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
88.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
87.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
85.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
85.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
84.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
83.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
82.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
82.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
80.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
78.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
78.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
76.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
74.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
74.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
73.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
72.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
72.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
72.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
71.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
71.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
70.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
70.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
69.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
68.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
68.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
67.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
67.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
66.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
62.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
62.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
61.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
61.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
61.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
60.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
60.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
59.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
53.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
51.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
43.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
39.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 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.
PHPT1 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
35.3
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
105.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
97.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
96.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
93.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
80.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
78.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
73.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
73.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
72.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
69.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
68.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
66.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
65.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
65.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
64.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
62.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
62.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
62.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
61.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
60.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
60.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
60.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
59.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
58.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
57.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
57.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
56.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
56.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
55.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
55.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
54.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
53.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
53.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
48.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
48.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
48.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
48.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
48.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
48.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
48.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
47.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
47.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
46.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
46.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
45.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
44.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
44.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
44.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
43.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
42.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
42.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
41.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
39.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
39.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
39.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
39.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
39.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
38.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
38.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
38.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
38.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
37.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
37.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
37.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
37.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
37.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
36.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
35.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
34.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
34.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
33.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
33.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
33.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
33.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
33.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
33.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
33.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
33.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
32.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
31.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
31.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
31.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
31.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
31.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
31.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
30.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
30.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
30.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
30.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
30.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
30.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
30.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
29.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
29.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
29.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
29.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
29.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
29.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
28.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
28.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
28.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
28.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
28.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
28.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
28.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
28.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
27.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
27.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
26.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
26.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
26.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
26.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
26.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
26.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
26.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
25.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
25.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
25.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
25.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
25.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
25.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
24.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
24.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
24.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
24.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
24.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
24.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
24.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
24.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
23.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
23.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
23.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
22.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
21.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
21.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
21.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
21.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
21.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
20.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
20.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
20.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
20.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
20.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
19.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
19.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
19.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
19.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
18.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
18.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
18.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
18.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
18.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
17.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
17.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
17.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
16.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
16.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
16.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
16.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
15.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
15.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
15.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
15.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
14.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
14.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
14.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
13.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
13.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
13.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
12.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
12.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
11.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
10.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
10.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
10.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
8.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.2
82157a70-12f1-4913-b548-d98881_D2
Normal
1.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
1.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
1.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.9
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
0.8
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.8
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.8
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
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Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.8
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.8
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.8
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.9
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.9
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.9
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.9
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-1.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
