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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.
STK24 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
109.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
275.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
263.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
243.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
235.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
225.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
222.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
208.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
205.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
196.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
195.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
194.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
193.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
189.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
187.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
185.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
184.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
182.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
180.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
179.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
177.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
172.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
172.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
170.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
169.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
164.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
163.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
163.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
162.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
162.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
159.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
159.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
157.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
156.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
155.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
155.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
153.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
151.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
150.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
148.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
147.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
145.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
144.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
144.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
144.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
143.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
143.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
143.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
142.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
142.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
141.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
139.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
138.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
138.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
138.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
137.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
137.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
136.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
136.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
135.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
132.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
132.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
132.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
131.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
130.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
130.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
129.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
128.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
127.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
127.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
127.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
126.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
126.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
126.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
126.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
125.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
125.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
125.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
125.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
124.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
124.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
124.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
123.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
123.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
123.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
123.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
123.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
122.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
121.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
120.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
119.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
119.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
119.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
118.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
117.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
117.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
117.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
116.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
116.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
115.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
115.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
114.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
113.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
112.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
111.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
111.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
110.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
110.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
109.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
109.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
108.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
107.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
107.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
107.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
106.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
106.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
106.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
104.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
103.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
103.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
103.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
102.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
102.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
101.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
101.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
100.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
100.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
100.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
100.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
100.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
99.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
99.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
99.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
99.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
98.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
98.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
98.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
97.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
97.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
97.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
97.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
97.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
95.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
95.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
95.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
94.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
94.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
93.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
92.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
90.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
90.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
90.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
90.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
90.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
90.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
89.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
89.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
89.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
89.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
89.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
89.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
89.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
89.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
88.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
88.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
88.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
87.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
86.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
86.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
86.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
86.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
85.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
85.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
85.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
84.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
84.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
84.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
84.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
83.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
82.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
82.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
81.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
81.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
81.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
81.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
80.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
80.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
80.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
80.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
80.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
79.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
79.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
79.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
78.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
78.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
78.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
78.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
78.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
77.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
77.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
76.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
76.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
76.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
76.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
76.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
76.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
76.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
75.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
75.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
75.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
74.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
72.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
71.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
71.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
71.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
71.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
71.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
70.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
70.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
70.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
70.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
69.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
69.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
69.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
69.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
68.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
67.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
66.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
65.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
65.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
65.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
63.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
63.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
62.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
62.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
61.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
60.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
60.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
60.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
57.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
56.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
55.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
55.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
54.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
54.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
53.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
52.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
50.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
49.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
49.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
47.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
46.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
38.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
STK24 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
146.7
Number of samples
486
Samples
Sample
Description
TPM
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
375.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
363.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
362.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
317.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
316.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
314.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
309.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
297.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
277.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
273.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
273.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
270.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
258.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
258.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
257.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
257.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
256.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
248.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
248.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
245.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
245.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
244.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
243.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
242.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
236.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
234.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
234.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
232.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
231.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
230.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
228.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
227.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
226.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
226.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
223.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
223.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
222.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
221.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
221.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
217.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
217.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
217.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
215.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
214.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
214.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
213.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
213.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
212.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
209.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
209.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
207.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
206.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
205.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
204.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
204.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
202.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
202.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
202.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
201.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
201.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
201.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
201.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
200.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
199.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
197.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
197.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
196.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
196.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
195.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
194.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
193.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
193.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
192.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
192.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
191.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
191.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
190.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
189.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
189.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
188.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
186.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
186.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
185.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
182.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
181.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
181.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
180.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
180.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
180.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
180.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
179.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
179.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
178.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
178.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
178.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
178.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
178.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
178.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
177.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
177.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
177.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
176.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
175.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
175.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
175.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
175.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
175.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
175.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
174.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
174.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
173.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
172.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
172.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
172.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
172.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
171.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
170.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
170.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
169.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
169.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
168.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
168.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
168.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
167.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
166.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
166.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
166.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
166.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
165.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
165.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
165.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
165.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
164.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
164.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
164.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
163.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
162.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
162.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
162.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
161.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
160.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
160.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
160.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
160.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
160.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
160.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
159.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
159.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
158.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
158.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
157.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
157.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
157.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
157.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
156.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
156.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
155.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
155.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
155.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
155.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
155.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
154.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
154.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
154.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
154.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
154.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
154.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
154.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
154.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
154.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
153.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
153.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
152.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
152.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
152.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
152.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
151.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
150.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
150.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
150.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
150.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
150.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
150.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
150.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
149.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
149.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
149.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
149.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
149.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
149.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
148.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
148.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
148.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
148.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
148.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
147.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
147.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
147.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
147.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
146.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
146.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
146.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
146.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
146.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
146.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
146.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
145.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
144.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
144.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
144.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
144.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
144.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
144.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
143.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
143.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
143.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
142.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
142.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
142.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
142.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
142.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
142.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
141.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
141.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
141.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
141.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
141.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
140.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
140.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
140.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
140.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
139.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
139.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
138.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
138.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
138.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
138.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
138.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
137.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
137.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
137.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
137.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
136.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
136.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
136.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
136.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
135.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
135.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
135.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
135.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
135.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
135.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
135.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
134.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
134.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
134.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
134.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
133.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
133.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
133.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
132.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
132.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
132.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
132.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
132.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
132.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
132.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
131.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
131.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
131.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
131.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
131.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
131.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
131.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
131.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
130.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
130.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
130.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
130.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
130.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
129.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
129.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
129.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
129.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
129.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
129.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
129.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
128.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
128.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
128.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
128.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
127.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
127.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
127.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
127.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
127.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
126.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
126.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
126.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
126.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
126.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
126.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
125.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
125.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
125.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
125.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
125.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
125.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
124.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
124.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
124.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
124.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
124.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
124.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
124.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
123.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
123.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
123.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
123.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
123.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
123.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
123.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
123.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
122.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
122.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
122.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
122.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
122.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
121.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
121.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
121.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
121.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
121.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
121.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
120.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
120.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
119.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
119.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
119.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
119.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
119.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
119.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
118.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
118.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
118.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
118.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
118.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
117.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
117.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
117.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
117.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
117.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
116.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
116.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
116.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
116.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
115.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
115.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
115.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
115.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
115.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
115.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
115.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
115.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
115.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
114.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
114.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
114.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
114.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
114.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
114.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
114.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
114.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
114.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
113.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
113.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
113.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
113.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
113.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
113.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
112.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
112.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
112.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
112.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
112.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
111.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
110.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
110.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
110.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
109.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
109.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
109.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
109.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
109.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
109.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
109.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
108.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
108.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
108.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
107.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
106.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
106.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
106.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
106.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
106.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
105.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
105.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
105.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
105.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
104.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
104.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
104.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
104.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
104.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
104.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
104.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
104.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
103.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
102.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
102.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
101.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
101.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
101.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
101.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
101.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
101.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
100.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
99.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
99.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
99.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
99.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
99.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
98.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
98.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
97.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
97.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
97.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
97.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
97.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
96.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
96.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
95.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
95.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
95.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
95.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
94.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
94.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
94.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
94.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
93.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
93.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
93.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
92.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
92.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
91.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
91.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
90.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
90.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
90.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
90.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
89.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
88.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
88.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
87.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
87.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
87.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
86.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
86.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
86.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
86.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
85.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
84.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
84.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
83.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
83.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
80.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
79.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
79.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
76.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
74.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
73.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
71.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
69.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
66.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
STK24 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
121.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
310.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
248.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
220.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
212.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
207.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
188.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
185.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
185.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
182.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
178.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
170.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
168.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
166.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
165.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
162.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
160.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
156.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
150.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
150.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
149.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
148.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
147.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
147.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
146.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
146.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
144.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
137.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
137.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
135.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
134.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
134.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
128.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
127.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
125.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
125.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
124.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
122.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
120.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
120.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
120.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
119.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
119.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
117.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
116.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
116.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
114.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
113.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
112.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
111.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
110.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
109.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
108.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
108.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
106.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
106.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
104.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
103.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
101.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
100.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
99.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
99.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
98.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
95.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
95.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
94.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
93.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
93.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
92.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
91.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
91.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
88.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
86.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
85.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
85.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
81.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
78.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
77.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
63.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
61.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
54.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
53.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
51.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
51.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
51.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
50.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
43.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
42.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
STK24 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
146.8
Number of samples
207
Samples
Sample
Description
TPM
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
377.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
350.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
329.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
302.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
282.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
258.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
242.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
240.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
238.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
237.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
237.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
233.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
232.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
231.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
231.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
225.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
224.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
223.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
223.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
215.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
215.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
214.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
209.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
208.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
207.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
201.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
198.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
197.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
196.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
196.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
195.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
194.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
193.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
191.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
191.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
191.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
191.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
190.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
188.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
187.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
186.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
186.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
186.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
181.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
181.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
180.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
178.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
174.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
173.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
171.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
167.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
164.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
162.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
161.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
161.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
161.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
161.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
160.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
159.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
159.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
158.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
158.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
158.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
158.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
157.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
156.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
156.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
156.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
153.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
153.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
152.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
151.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
151.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
151.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
150.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
150.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
150.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
148.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
148.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
148.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
147.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
147.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
147.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
147.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
146.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
146.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
146.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
146.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
145.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
144.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
143.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
142.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
142.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
141.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
141.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
141.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
140.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
139.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
139.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
139.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
139.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
139.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
138.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
138.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
137.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
136.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
136.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
135.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
135.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
135.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
135.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
134.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
134.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
133.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
133.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
133.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
130.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
130.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
130.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
130.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
129.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
129.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
129.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
129.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
128.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
128.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
127.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
127.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
127.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
126.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
126.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
125.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
124.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
124.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
123.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
123.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
123.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
122.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
122.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
121.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
120.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
120.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
120.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
119.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
118.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
118.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
117.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
117.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
117.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
116.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
116.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
115.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
114.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
114.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
114.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
114.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
114.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
113.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
113.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
112.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
112.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
111.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
111.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
110.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
110.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
110.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
108.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
107.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
107.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
107.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
106.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
106.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
105.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
103.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
101.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
99.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
98.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
98.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
97.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
97.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
96.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
95.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
95.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
95.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
95.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
95.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
94.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
94.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
93.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
92.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
91.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
91.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
90.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
87.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
87.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
87.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
86.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
81.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
79.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
77.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
75.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
74.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
73.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
73.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
72.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
66.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
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Tumor
0.3
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Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
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Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
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Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
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Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.3
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Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
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Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
