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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.
SDC4 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
143.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
778.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
402.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
394.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
390.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
348.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
339.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
338.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
334.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
332.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
326.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
325.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
319.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
307.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
298.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
288.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
283.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
281.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
279.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
278.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
276.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
274.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
272.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
271.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
261.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
260.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
241.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
238.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
234.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
229.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
228.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
221.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
221.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
214.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
213.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
213.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
207.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
206.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
203.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
201.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
199.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
197.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
193.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
190.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
190.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
190.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
189.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
188.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
188.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
187.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
187.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
187.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
186.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
185.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
184.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
181.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
181.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
180.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
179.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
179.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
177.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
175.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
174.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
171.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
170.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
169.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
168.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
167.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
166.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
165.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
165.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
164.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
164.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
164.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
163.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
162.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
162.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
162.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
162.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
160.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
159.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
157.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
154.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
152.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
152.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
152.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
151.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
150.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
150.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
149.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
149.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
148.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
148.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
147.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
147.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
147.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
145.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
144.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
144.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
144.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
143.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
143.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
143.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
142.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
142.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
142.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
140.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
140.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
139.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
139.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
138.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
138.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
137.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
136.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
136.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
135.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
135.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
135.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
135.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
134.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
134.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
133.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
133.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
131.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
131.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
129.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
129.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
128.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
126.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
126.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
126.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
125.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
124.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
124.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
123.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
123.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
122.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
122.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
120.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
118.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
116.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
114.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
112.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
112.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
112.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
111.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
111.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
111.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
110.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
110.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
110.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
110.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
110.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
109.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
109.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
109.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
109.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
109.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
108.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
107.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
107.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
106.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
105.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
105.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
105.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
105.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
104.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
102.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
102.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
101.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
100.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
100.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
100.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
100.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
100.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
99.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
99.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
99.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
98.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
98.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
98.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
98.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
96.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
96.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
96.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
96.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
95.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
95.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
95.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
94.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
94.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
94.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
93.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
92.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
92.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
92.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
91.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
90.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
90.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
90.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
89.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
89.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
88.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
87.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
85.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
83.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
80.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
80.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
80.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
80.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
79.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
79.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
76.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
76.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
75.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
74.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
74.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
73.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
73.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
73.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
72.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
72.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
71.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
71.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
71.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
71.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
70.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
69.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
69.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
68.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
67.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
66.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
66.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
64.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
62.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
61.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
60.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
60.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
59.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
57.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
56.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
56.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
56.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
55.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
52.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
50.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
48.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
45.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
43.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
42.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
42.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
40.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
39.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
36.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 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.
SDC4 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
113.8
Number of samples
486
Samples
Sample
Description
TPM
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
633.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
385.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
326.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
297.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
290.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
288.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
281.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
278.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
275.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
269.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
263.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
263.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
263.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
260.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
259.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
258.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
246.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
244.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
242.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
232.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
231.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
230.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
227.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
224.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
221.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
221.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
220.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
215.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
210.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
209.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
205.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
203.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
199.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
197.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
196.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
195.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
195.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
194.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
194.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
191.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
191.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
190.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
190.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
190.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
189.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
189.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
188.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
187.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
187.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
187.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
185.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
184.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
183.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
181.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
180.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
180.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
180.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
178.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
178.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
177.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
176.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
172.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
172.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
170.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
170.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
170.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
169.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
168.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
166.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
166.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
166.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
165.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
164.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
163.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
163.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
163.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
163.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
162.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
162.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
161.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
161.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
161.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
161.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
161.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
159.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
159.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
158.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
157.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
157.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
155.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
155.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
155.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
154.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
154.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
154.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
154.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
154.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
153.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
152.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
152.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
152.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
151.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
151.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
149.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
148.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
148.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
147.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
147.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
147.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
146.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
146.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
146.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
145.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
145.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
144.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
143.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
143.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
142.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
141.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
141.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
140.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
140.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
140.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
139.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
139.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
139.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
138.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
137.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
137.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
137.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
137.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
136.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
136.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
135.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
135.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
135.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
134.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
134.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
134.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
133.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
133.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
132.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
132.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
132.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
132.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
131.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
131.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
131.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
131.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
130.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
130.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
130.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
129.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
128.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
128.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
127.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
127.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
127.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
126.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
126.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
126.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
125.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
125.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
125.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
124.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
124.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
124.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
123.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
123.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
122.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
122.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
122.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
122.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
121.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
120.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
120.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
120.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
120.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
120.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
120.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
119.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
119.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
119.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
119.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
119.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
118.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
118.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
118.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
118.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
117.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
116.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
116.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
116.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
116.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
116.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
115.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
115.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
115.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
115.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
114.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
113.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
113.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
113.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
113.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
113.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
112.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
112.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
112.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
112.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
112.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
111.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
111.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
110.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
110.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
110.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
109.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
109.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
108.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
108.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
107.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
107.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
107.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
107.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
107.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
107.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
106.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
106.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
105.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
105.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
104.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
104.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
104.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
104.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
104.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
104.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
103.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
103.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
102.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
102.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
102.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
102.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
102.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
102.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
101.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
101.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
100.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
100.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
99.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
99.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
99.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
99.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
99.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
99.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
98.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
98.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
98.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
98.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
97.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
97.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
96.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
96.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
95.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
94.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
94.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
93.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
93.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
93.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
93.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
93.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
93.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
93.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
93.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
93.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
93.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
92.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
92.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
92.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
92.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
91.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
91.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
91.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
90.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
90.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
89.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
89.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
89.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
89.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
89.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
88.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
88.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
88.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
88.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
87.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
87.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
87.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
87.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
86.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
86.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
86.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
86.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
86.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
86.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
85.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
85.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
85.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
85.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
84.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
84.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
84.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
83.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
83.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
83.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
83.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
83.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
83.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
82.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
82.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
82.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
82.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
82.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
82.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
81.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
81.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
81.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
81.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
81.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
81.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
81.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
80.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
80.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
80.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
80.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
79.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
79.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
79.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
78.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
78.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
78.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
77.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
77.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
77.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
77.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
76.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
76.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
76.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
76.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
76.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
75.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
75.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
75.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
74.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
74.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
74.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
74.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
74.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
74.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
74.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
74.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
73.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
73.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
73.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
73.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
73.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
73.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
73.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
72.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
72.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
72.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
71.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
71.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
71.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
71.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
71.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
70.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
70.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
70.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
70.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
70.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
70.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
69.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
68.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
68.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
68.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
68.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
68.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
67.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
67.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
67.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
67.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
67.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
66.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
66.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
66.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
65.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
65.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
65.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
65.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
64.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
64.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
64.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
63.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
63.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
63.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
63.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
63.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
62.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
62.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
62.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
62.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
61.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
61.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
61.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
61.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
61.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
61.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
60.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
60.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
60.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
60.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
60.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
59.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
59.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
59.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
59.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
59.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
59.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
59.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
59.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
59.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
59.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
59.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
58.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
58.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
58.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
57.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
57.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
57.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
57.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
56.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
55.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
55.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
54.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
54.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
54.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
54.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
53.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
53.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
53.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
52.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
52.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
50.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
50.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
49.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
49.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
49.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
48.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
46.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
45.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
45.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
43.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
43.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
43.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
42.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
41.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
40.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
38.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
35.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
35.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
31.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
26.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.9
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.
SDC4 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
172.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
594.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
555.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
491.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
391.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
385.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
378.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
358.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
340.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
338.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
318.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
312.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
268.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
240.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
237.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
228.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
227.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
225.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
223.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
219.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
218.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
217.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
215.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
207.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
200.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
200.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
199.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
194.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
190.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
189.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
181.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
174.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
173.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
169.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
169.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
167.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
164.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
156.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
153.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
150.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
149.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
146.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
145.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
144.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
141.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
139.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
137.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
136.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
136.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
136.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
132.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
132.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
127.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
125.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
125.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
121.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
115.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
115.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
114.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
111.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
108.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
108.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
107.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
107.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
107.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
106.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
104.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
104.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
103.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
100.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
99.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
99.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
93.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
92.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
90.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
86.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
85.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
84.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
83.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
82.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
75.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
73.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
70.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
70.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
66.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
65.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
65.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
58.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SDC4 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
103.5
Number of samples
207
Samples
Sample
Description
TPM
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
317.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
297.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
246.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
228.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
224.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
196.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
192.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
187.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
185.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
183.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
182.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
180.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
180.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
179.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
178.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
175.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
174.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
174.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
173.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
173.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
170.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
169.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
166.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
159.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
158.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
157.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
156.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
155.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
154.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
150.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
149.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
143.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
142.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
142.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
140.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
140.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
136.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
136.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
135.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
133.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
133.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
130.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
128.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
128.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
127.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
127.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
126.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
126.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
126.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
124.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
122.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
121.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
119.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
119.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
118.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
118.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
117.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
117.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
117.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
117.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
116.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
115.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
115.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
115.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
114.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
114.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
114.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
113.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
113.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
112.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
111.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
111.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
110.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
108.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
107.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
107.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
107.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
107.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
106.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
106.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
104.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
104.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
104.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
104.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
104.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
103.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
103.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
102.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
102.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
102.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
100.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
99.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
99.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
98.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
98.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
97.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
97.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
97.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
96.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
95.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
95.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
95.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
94.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
94.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
94.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
93.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
91.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
91.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
91.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
90.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
90.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
90.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
90.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
90.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
89.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
89.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
89.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
89.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
89.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
88.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
88.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
87.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
87.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
87.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
87.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
87.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
87.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
87.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
87.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
86.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
86.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
86.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
85.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
84.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
84.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
82.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
82.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
82.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
81.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
80.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
80.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
79.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
79.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
79.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
79.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
78.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
78.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
78.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
76.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
76.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
75.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
74.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
74.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
74.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
73.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
72.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
72.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
72.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
72.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
71.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
71.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
70.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
69.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
68.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
68.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
67.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
67.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
66.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
65.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
65.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
64.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
63.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
63.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
62.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
62.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
62.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
62.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
60.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
60.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
60.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
60.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
59.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
59.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
58.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
58.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
58.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
57.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
55.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
54.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
54.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
52.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
51.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
51.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
50.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
50.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
49.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
47.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
47.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
46.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
45.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
42.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
41.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
39.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.9
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.8
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.8
b2400046-1d25-429d-a821-6040a6
Tumor
0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.9
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.9
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.9
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-1.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
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
