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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.
SDCBP 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
112.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
351.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
341.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
277.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
239.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
221.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
221.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
221.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
219.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
198.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
196.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
196.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
193.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
190.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
188.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
185.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
181.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
175.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
174.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
172.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
170.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
169.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
168.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
167.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
167.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
166.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
166.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
163.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
162.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
162.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
161.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
160.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
159.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
156.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
153.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
150.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
148.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
147.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
145.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
145.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
145.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
144.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
143.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
143.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
143.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
143.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
142.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
142.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
141.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
141.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
140.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
140.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
140.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
139.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
139.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
139.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
139.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
138.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
138.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
137.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
136.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
135.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
133.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
133.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
133.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
132.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
132.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
131.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
131.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
130.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
130.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
130.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
129.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
129.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
129.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
128.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
127.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
127.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
125.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
125.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
124.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
123.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
123.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
123.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
123.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
123.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
123.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
122.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
122.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
121.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
121.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
121.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
120.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
119.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
119.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
119.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
118.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
118.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
118.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
118.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
117.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
116.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
116.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
116.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
115.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
114.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
114.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
113.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
112.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
112.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
112.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
112.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
112.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
112.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
111.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
111.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
111.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
111.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
110.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
109.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
109.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
108.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
108.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
108.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
107.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
106.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
106.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
106.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
104.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
103.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
103.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
102.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
102.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
101.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
101.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
100.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
100.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
99.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
99.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
99.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
99.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
98.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
98.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
98.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
97.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
97.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
97.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
97.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
97.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
96.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
96.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
96.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
95.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
95.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
95.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
95.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
94.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
94.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
94.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
94.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
93.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
93.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
92.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
91.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
91.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
91.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
91.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
91.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
90.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
90.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
90.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
90.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
89.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
89.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
88.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
88.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
87.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
87.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
87.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
87.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
86.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
86.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
86.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
85.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
85.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
85.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
85.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
85.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
83.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
82.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
82.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
82.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
81.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
81.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
80.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
79.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
79.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
79.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
78.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
78.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
78.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
78.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
77.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
77.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
77.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
76.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
76.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
76.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
76.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
76.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
76.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
75.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
75.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
75.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
74.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
74.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
74.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
74.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
74.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
73.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
73.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
73.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
72.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
69.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
69.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
68.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
67.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
66.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
66.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
66.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
65.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
64.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
64.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
64.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
63.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
63.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
61.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
60.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
60.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
60.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
59.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
59.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
59.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
56.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
55.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
54.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
53.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
53.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
48.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
42.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
41.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
40.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SDCBP 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
139.6
Number of samples
486
Samples
Sample
Description
TPM
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
332.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
297.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
283.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
268.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
265.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
264.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
264.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
257.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
256.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
249.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
248.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
246.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
246.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
246.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
241.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
240.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
236.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
233.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
232.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
231.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
231.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
230.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
228.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
228.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
227.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
227.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
226.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
222.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
222.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
221.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
220.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
219.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
218.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
215.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
214.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
213.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
212.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
211.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
211.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
211.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
211.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
210.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
210.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
208.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
206.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
204.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
204.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
201.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
201.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
200.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
200.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
199.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
199.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
198.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
198.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
198.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
197.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
196.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
196.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
196.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
195.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
194.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
194.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
193.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
193.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
193.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
190.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
188.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
188.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
187.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
187.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
187.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
186.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
186.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
185.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
185.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
184.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
184.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
183.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
183.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
182.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
182.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
182.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
182.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
181.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
181.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
180.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
180.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
179.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
179.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
177.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
177.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
177.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
176.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
176.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
176.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
176.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
175.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
173.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
173.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
173.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
173.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
173.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
171.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
171.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
171.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
169.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
169.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
169.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
168.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
168.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
168.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
167.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
166.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
166.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
166.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
166.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
165.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
165.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
164.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
164.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
163.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
163.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
163.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
162.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
162.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
162.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
161.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
161.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
161.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
160.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
160.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
160.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
160.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
158.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
158.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
158.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
158.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
158.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
155.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
155.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
155.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
155.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
154.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
154.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
154.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
153.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
153.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
153.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
153.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
152.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
152.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
152.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
152.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
152.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
151.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
151.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
150.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
150.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
150.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
150.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
149.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
149.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
149.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
148.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
148.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
148.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
148.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
148.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
148.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
147.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
147.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
147.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
147.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
147.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
146.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
146.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
146.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
146.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
146.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
146.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
146.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
145.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
145.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
145.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
145.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
145.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
144.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
144.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
144.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
144.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
144.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
144.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
143.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
143.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
143.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
143.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
143.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
142.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
142.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
142.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
142.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
141.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
140.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
140.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
140.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
140.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
140.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
140.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
139.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
139.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
139.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
139.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
139.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
139.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
138.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
138.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
137.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
136.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
136.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
136.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
136.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
136.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
136.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
135.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
135.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
134.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
134.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
134.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
134.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
133.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
133.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
133.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
133.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
133.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
133.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
132.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
132.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
132.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
132.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
132.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
132.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
132.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
132.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
131.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
131.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
131.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
131.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
130.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
130.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
130.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
129.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
129.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
129.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
129.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
129.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
129.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
129.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
129.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
129.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
128.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
128.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
128.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
128.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
128.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
128.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
128.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
127.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
127.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
127.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
127.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
127.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
127.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
127.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
127.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
127.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
126.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
126.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
126.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
125.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
125.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
125.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
125.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
125.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
124.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
124.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
124.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
124.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
124.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
124.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
123.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
122.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
122.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
122.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
122.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
121.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
121.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
121.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
121.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
121.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
120.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
120.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
120.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
120.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
120.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
119.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
119.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
119.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
119.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
119.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
118.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
118.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
118.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
117.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
117.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
117.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
117.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
117.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
117.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
117.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
117.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
117.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
117.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
117.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
117.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
117.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
117.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
117.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
116.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
115.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
115.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
115.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
115.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
115.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
114.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
114.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
114.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
114.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
114.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
114.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
114.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
114.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
114.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
114.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
113.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
113.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
113.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
113.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
113.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
112.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
112.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
112.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
112.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
112.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
112.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
112.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
111.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
111.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
111.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
110.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
110.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
110.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
109.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
109.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
109.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
109.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
109.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
109.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
109.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
109.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
108.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
107.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
107.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
107.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
107.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
107.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
107.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
107.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
107.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
106.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
106.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
106.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
105.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
105.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
105.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
104.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
104.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
104.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
104.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
104.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
103.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
102.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
102.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
102.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
101.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
101.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
101.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
101.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
101.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
101.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
101.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
100.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
100.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
100.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
100.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
100.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
99.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
99.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
98.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
98.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
98.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
98.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
97.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
97.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
97.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
97.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
96.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
96.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
96.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
96.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
95.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
95.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
94.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
94.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
94.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
94.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
94.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
93.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
93.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
93.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
93.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
92.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
92.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
92.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
91.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
91.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
91.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
91.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
90.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
89.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
89.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
89.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
88.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
88.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
86.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
86.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
85.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
85.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
85.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
84.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
84.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
83.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
81.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
81.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
81.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
81.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
80.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
78.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
77.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
77.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
77.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
76.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
75.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
74.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
74.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
73.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
73.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
72.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
71.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
71.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
71.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
70.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
68.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
66.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
66.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
65.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
65.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
63.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
61.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
59.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
58.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
55.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
46.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SDCBP 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
111.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
224.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
220.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
202.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
198.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
186.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
174.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
174.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
169.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
157.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
156.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
152.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
148.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
147.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
145.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
144.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
142.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
142.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
140.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
140.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
139.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
139.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
138.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
136.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
135.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
134.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
130.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
127.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
127.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
126.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
126.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
125.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
122.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
119.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
118.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
115.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
115.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
114.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
114.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
111.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
110.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
110.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
109.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
109.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
108.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
107.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
105.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
105.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
105.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
103.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
103.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
102.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
102.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
101.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
100.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
100.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
100.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
99.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
98.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
96.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
95.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
94.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
93.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
93.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
91.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
90.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
88.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
88.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
86.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
85.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
81.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
81.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
79.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
76.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
75.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
75.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
72.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
72.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
70.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
68.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
64.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
64.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
60.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
53.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
46.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
39.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
37.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
27.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SDCBP 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
123.3
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
315.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
235.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
232.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
228.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
226.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
213.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
206.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
204.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
199.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
198.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
198.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
193.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
186.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
184.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
182.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
182.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
182.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
181.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
180.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
179.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
178.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
176.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
175.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
175.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
175.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
174.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
171.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
171.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
166.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
166.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
165.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
165.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
163.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
163.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
162.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
162.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
159.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
157.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
157.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
157.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
156.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
155.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
155.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
154.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
154.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
154.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
154.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
153.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
152.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
152.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
151.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
150.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
149.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
147.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
147.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
143.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
143.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
142.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
142.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
142.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
141.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
141.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
139.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
139.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
138.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
138.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
138.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
137.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
137.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
137.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
137.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
134.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
134.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
133.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
133.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
132.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
131.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
131.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
130.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
129.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
129.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
129.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
129.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
129.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
129.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
127.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
127.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
125.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
123.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
123.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
123.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
122.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
121.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
121.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
120.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
120.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
117.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
117.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
116.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
116.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
116.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
115.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
115.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
114.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
114.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
113.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
113.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
113.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
113.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
112.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
112.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
112.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
112.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
111.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
111.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
111.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
110.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
110.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
109.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
109.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
109.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
108.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
108.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
108.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
107.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
107.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
107.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
107.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
106.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
105.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
104.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
104.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
104.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
102.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
101.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
101.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
100.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
100.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
100.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
100.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
99.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
99.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
98.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
98.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
97.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
97.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
97.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
96.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
96.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
95.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
95.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
95.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
95.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
94.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
94.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
93.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
93.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
92.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
92.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
91.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
91.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
91.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
90.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
90.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
90.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
90.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
89.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
88.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
88.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
88.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
88.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
88.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
88.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
87.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
87.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
87.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
87.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
85.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
84.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
84.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
84.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
80.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
80.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
79.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
79.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
79.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
78.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
78.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
78.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
77.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
76.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
76.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
75.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
74.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
74.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
73.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
67.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
66.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
63.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
62.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
61.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
60.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
59.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
56.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
49.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
48.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
1.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
1.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.8
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
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Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
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Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
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Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.8
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.8
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
8cc7e656-0152-4359-8566-0581c3
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.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
