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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.
QSOX1 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
128.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1497.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1008.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
929.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
627.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
557.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
495.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
438.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
410.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
346.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
338.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
334.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
305.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
304.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
292.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
283.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
282.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
273.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
273.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
257.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
254.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
250.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
249.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
245.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
241.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
237.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
235.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
224.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
221.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
216.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
216.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
213.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
209.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
209.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
207.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
204.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
201.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
200.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
192.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
186.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
183.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
182.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
181.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
178.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
174.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
174.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
169.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
168.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
166.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
163.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
162.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
161.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
160.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
160.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
158.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
157.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
156.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
156.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
154.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
152.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
152.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
151.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
150.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
149.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
149.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
148.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
144.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
143.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
142.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
138.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
134.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
131.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
130.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
130.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
130.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
129.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
127.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
126.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
125.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
124.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
124.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
124.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
123.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
123.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
121.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
120.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
120.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
119.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
119.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
117.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
112.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
110.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
109.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
109.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
108.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
108.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
107.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
105.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
105.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
105.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
104.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
104.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
100.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
100.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
98.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
98.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
98.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
98.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
97.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
96.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
96.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
95.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
94.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
94.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
94.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
93.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
92.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
91.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
91.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
90.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
90.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
90.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
90.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
90.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
90.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
89.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
89.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
89.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
89.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
88.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
88.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
88.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
87.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
87.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
87.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
87.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
86.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
86.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
86.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
86.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
85.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
85.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
84.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
83.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
83.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
83.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
83.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
83.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
83.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
83.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
82.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
82.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
82.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
82.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
81.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
80.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
78.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
78.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
77.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
77.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
77.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
77.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
76.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
76.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
75.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
75.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
75.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
75.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
75.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
75.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
74.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
74.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
74.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
73.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
73.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
72.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
72.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
72.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
71.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
70.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
70.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
69.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
69.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
69.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
69.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
68.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
68.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
67.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
67.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
65.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
64.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
64.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
64.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
63.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
63.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
62.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
62.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
62.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
61.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
60.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
60.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
59.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
59.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
59.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
59.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
58.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
58.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
58.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
58.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
57.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
55.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
55.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
54.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
54.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
53.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
53.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
53.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
52.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
52.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
52.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
50.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
49.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
48.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
48.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
47.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
47.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
47.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
46.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
46.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
46.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
44.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
44.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
44.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
43.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
43.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
42.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
42.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
42.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
41.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
40.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
40.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
38.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
37.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
37.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
35.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
33.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
28.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
27.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
27.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
26.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
24.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
23.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
19.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
QSOX1 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
103.1
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
510.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
431.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
399.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
358.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
354.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
344.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
342.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
335.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
333.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
305.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
294.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
281.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
270.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
266.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
255.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
238.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
222.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
214.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
205.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
201.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
199.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
198.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
197.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
196.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
195.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
195.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
195.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
192.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
191.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
190.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
190.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
189.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
188.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
187.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
187.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
186.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
186.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
185.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
184.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
182.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
181.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
181.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
181.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
179.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
178.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
177.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
177.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
176.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
176.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
175.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
174.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
172.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
171.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
171.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
169.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
168.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
168.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
168.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
167.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
166.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
166.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
164.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
164.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
163.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
162.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
162.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
160.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
160.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
159.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
158.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
156.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
155.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
154.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
154.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
154.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
153.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
153.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
151.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
148.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
147.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
147.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
147.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
147.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
147.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
147.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
146.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
146.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
145.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
144.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
144.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
143.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
143.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
143.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
142.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
142.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
142.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
140.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
140.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
140.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
140.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
140.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
139.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
139.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
139.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
138.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
136.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
136.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
135.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
135.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
134.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
133.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
133.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
133.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
132.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
132.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
132.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
130.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
130.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
130.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
130.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
129.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
129.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
127.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
126.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
126.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
126.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
125.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
125.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
125.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
124.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
124.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
124.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
124.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
123.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
123.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
122.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
122.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
120.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
120.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
119.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
119.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
118.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
118.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
117.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
117.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
116.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
114.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
113.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
113.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
112.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
112.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
112.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
111.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
111.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
111.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
110.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
110.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
109.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
109.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
109.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
109.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
108.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
107.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
107.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
107.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
107.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
106.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
106.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
106.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
106.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
105.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
105.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
105.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
104.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
104.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
104.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
104.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
104.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
104.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
104.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
103.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
102.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
102.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
101.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
101.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
101.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
101.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
100.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
100.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
100.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
99.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
99.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
99.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
99.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
99.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
98.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
98.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
98.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
97.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
97.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
97.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
97.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
97.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
97.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
96.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
96.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
96.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
96.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
95.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
95.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
95.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
95.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
94.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
94.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
94.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
93.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
93.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
92.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
92.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
92.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
92.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
91.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
91.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
91.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
91.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
91.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
91.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
91.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
90.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
90.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
89.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
89.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
88.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
88.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
88.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
88.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
88.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
88.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
87.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
87.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
87.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
87.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
87.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
87.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
87.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
86.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
86.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
86.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
86.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
86.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
85.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
85.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
85.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
85.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
85.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
84.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
84.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
84.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
84.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
84.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
83.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
83.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
83.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
83.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
82.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
82.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
82.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
82.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
82.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
82.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
82.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
81.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
81.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
81.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
81.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
81.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
80.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
80.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
80.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
79.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
79.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
79.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
78.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
78.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
78.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
78.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
78.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
78.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
78.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
77.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
77.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
77.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
77.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
76.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
76.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
76.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
76.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
75.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
75.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
75.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
75.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
75.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
75.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
75.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
74.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
74.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
74.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
74.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
74.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
74.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
74.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
74.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
73.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
73.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
73.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
73.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
73.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
73.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
73.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
73.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
72.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
72.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
71.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
71.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
71.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
71.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
71.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
71.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
71.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
71.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
70.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
70.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
69.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
69.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
69.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
69.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
69.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
69.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
68.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
68.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
68.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
68.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
68.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
67.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
67.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
67.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
67.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
67.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
66.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
66.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
66.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
66.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
66.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
66.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
66.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
65.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
65.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
64.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
64.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
64.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
64.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
64.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
63.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
63.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
63.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
63.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
63.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
62.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
62.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
62.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
62.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
62.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
62.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
62.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
61.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
61.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
61.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
61.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
60.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
60.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
60.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
60.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
60.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
60.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
60.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
60.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
59.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
59.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
58.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
58.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
58.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
58.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
58.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
58.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
57.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
57.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
57.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
57.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
56.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
56.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
56.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
56.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
55.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
55.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
55.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
55.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
54.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
54.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
54.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
54.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
54.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
54.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
53.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
53.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
53.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
53.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
53.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
53.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
52.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
52.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
51.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
50.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
50.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
50.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
49.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
49.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
49.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
49.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
49.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
48.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
48.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
48.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
47.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
46.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
46.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
44.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
43.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
43.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
42.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
41.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
41.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
38.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
37.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
37.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
36.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
36.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
36.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
36.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
36.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
35.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
35.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
35.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
33.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
32.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
32.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
32.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
31.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
30.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
28.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
28.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
27.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
27.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
25.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
11.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.5
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.
QSOX1 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
96.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
208.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
190.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
189.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
183.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
177.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
175.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
170.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
170.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
166.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
165.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
160.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
155.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
147.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
139.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
139.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
138.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
138.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
135.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
129.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
127.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
126.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
124.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
123.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
123.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
123.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
121.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
119.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
113.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
112.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
111.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
108.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
106.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
105.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
105.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
105.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
104.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
99.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
98.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
97.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
96.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
96.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
94.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
93.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
92.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
88.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
87.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
86.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
85.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
85.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
82.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
81.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
81.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
79.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
78.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
77.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
75.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
73.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
70.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
69.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
69.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
68.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
66.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
61.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
59.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
59.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
59.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
58.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
57.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
57.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
56.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
56.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
53.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
52.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
52.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
48.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
47.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
45.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
44.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
44.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
43.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
42.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
42.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
41.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
38.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
37.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
33.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
28.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 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.
QSOX1 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
82.7
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
222.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
194.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
193.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
187.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
184.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
171.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
169.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
163.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
163.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
162.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
162.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
152.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
147.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
146.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
143.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
142.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
141.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
138.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
134.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
134.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
131.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
131.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
130.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
128.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
127.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
123.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
121.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
118.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
117.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
116.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
115.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
114.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
114.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
114.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
113.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
113.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
113.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
112.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
110.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
109.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
109.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
109.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
108.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
108.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
108.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
108.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
107.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
107.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
106.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
106.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
104.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
104.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
103.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
102.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
100.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
100.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
99.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
99.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
98.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
97.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
97.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
97.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
97.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
96.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
96.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
95.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
94.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
94.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
93.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
93.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
93.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
92.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
92.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
92.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
91.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
90.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
89.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
89.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
89.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
88.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
87.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
87.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
87.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
86.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
86.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
86.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
86.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
86.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
86.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
84.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
84.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
84.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
83.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
82.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
82.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
81.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
81.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
80.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
80.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
80.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
79.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
79.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
79.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
78.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
77.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
76.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
75.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
75.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
75.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
74.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
74.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
74.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
74.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
74.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
73.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
73.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
73.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
72.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
71.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
71.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
71.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
70.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
70.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
69.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
68.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
68.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
68.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
67.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
67.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
66.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
66.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
65.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
65.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
65.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
65.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
64.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
64.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
64.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
63.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
62.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
62.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
60.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
60.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
59.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
59.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
59.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
58.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
58.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
58.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
58.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
58.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
57.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
57.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
57.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
57.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
57.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
56.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
56.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
55.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
55.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
55.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
54.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
54.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
54.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
51.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
50.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
49.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
47.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
47.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
46.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
46.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
46.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
45.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
44.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
44.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
44.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
43.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
42.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
40.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
39.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
38.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
37.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
33.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
32.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
31.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
31.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
31.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
30.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
30.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
28.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
23.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
19.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
16.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
1.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
1.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
1.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.9
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.9
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.8
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.8
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.7
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.9
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.9
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-1.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.0
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.
The Human Protein Atlas project is funded
