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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.
PFDN2 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
132.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
384.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
303.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
251.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
250.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
249.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
248.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
246.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
245.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
237.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
227.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
212.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
211.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
208.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
208.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
203.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
201.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
196.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
195.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
193.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
193.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
190.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
190.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
188.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
188.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
186.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
184.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
184.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
183.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
181.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
180.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
180.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
180.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
179.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
177.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
175.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
174.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
173.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
173.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
173.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
173.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
173.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
172.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
171.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
170.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
169.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
169.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
168.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
167.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
166.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
165.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
163.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
163.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
162.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
161.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
160.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
159.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
159.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
158.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
158.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
156.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
155.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
154.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
154.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
153.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
151.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
151.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
150.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
150.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
150.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
150.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
149.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
148.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
148.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
147.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
147.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
147.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
146.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
146.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
146.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
146.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
146.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
145.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
145.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
145.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
145.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
144.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
143.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
143.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
140.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
139.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
139.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
139.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
138.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
138.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
137.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
136.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
136.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
136.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
136.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
136.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
135.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
135.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
135.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
135.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
134.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
133.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
133.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
133.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
133.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
133.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
132.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
132.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
132.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
132.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
131.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
130.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
130.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
130.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
129.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
128.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
128.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
128.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
128.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
127.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
127.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
127.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
126.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
126.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
126.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
126.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
126.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
126.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
125.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
124.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
124.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
124.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
123.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
123.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
123.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
123.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
123.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
122.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
122.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
122.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
121.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
121.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
121.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
120.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
120.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
120.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
120.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
120.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
119.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
117.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
117.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
116.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
116.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
115.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
115.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
115.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
115.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
114.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
114.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
114.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
114.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
113.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
112.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
112.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
111.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
111.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
110.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
110.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
110.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
110.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
109.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
107.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
107.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
106.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
106.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
106.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
105.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
105.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
105.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
104.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
104.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
104.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
104.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
104.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
103.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
103.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
102.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
102.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
102.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
102.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
101.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
101.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
101.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
100.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
100.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
100.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
99.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
99.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
99.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
99.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
97.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
96.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
96.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
96.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
95.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
95.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
95.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
95.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
94.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
93.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
93.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
93.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
92.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
92.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
92.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
91.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
90.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
90.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
89.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
88.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
88.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
88.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
88.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
87.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
87.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
86.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
86.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
86.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
85.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
84.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
84.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
83.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
82.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
82.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
79.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
78.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
78.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
77.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
76.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
74.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
71.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
71.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
68.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
67.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
65.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
64.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
59.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
44.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
41.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
PFDN2 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
47.3
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
133.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
109.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
104.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
102.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
97.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
96.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
94.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
94.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
94.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
92.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
86.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
84.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
84.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
83.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
81.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
79.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
78.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
78.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
78.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
76.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
76.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
75.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
74.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
73.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
72.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
72.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
72.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
72.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
72.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
72.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
71.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
71.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
71.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
71.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
71.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
70.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
70.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
69.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
69.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
69.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
69.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
69.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
68.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
68.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
68.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
67.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
67.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
66.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
66.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
65.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
65.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
65.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
65.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
65.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
64.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
64.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
64.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
64.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
63.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
63.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
63.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
62.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
62.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
62.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
62.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
62.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
62.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
62.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
62.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
61.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
61.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
61.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
61.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
61.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
60.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
60.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
60.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
60.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
60.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
59.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
59.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
59.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
59.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
59.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
59.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
59.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
59.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
58.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
58.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
58.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
58.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
58.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
58.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
58.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
58.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
57.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
57.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
57.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
57.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
57.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
57.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
57.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
57.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
56.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
56.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
56.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
56.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
56.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
56.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
56.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
56.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
55.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
55.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
55.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
55.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
55.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
55.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
55.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
54.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
54.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
54.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
54.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
54.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
54.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
54.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
53.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
53.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
53.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
53.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
53.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
53.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
53.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
52.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
52.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
52.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
52.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
52.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
52.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
52.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
52.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
51.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
51.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
51.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
51.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
51.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
51.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
51.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
51.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
51.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
50.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
50.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
50.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
50.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
50.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
50.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
50.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
50.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
50.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
50.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
50.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
50.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
50.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
50.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
49.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
49.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
49.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
49.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
49.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
49.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
49.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
49.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
49.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
48.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
48.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
48.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
48.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
48.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
48.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
48.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
48.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
48.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
47.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
47.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
47.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
47.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
47.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
47.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
47.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
47.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
47.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
47.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
47.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
47.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
47.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
47.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
47.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
47.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
47.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
46.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
46.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
46.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
46.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
46.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
46.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
46.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
46.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
45.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
45.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
45.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
45.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
45.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
45.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
45.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
45.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
45.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
45.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
44.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
44.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
44.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
44.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
44.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
44.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
44.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
44.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
44.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
44.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
44.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
44.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
44.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
44.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
43.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
43.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
43.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
43.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
43.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
43.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
43.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
43.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
43.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
43.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
42.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
42.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
42.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
42.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
42.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
42.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
42.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
42.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
42.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
42.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
42.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
42.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
41.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
41.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
41.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
41.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
41.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
40.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
40.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
40.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
40.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
40.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
40.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
40.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
40.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
40.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
40.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
40.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
40.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
40.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
40.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
40.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
40.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
39.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
39.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
39.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
39.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
39.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
39.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
39.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
39.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
39.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
39.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
39.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
39.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
39.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
38.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
38.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
38.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
38.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
38.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
38.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
38.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
38.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
38.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
38.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
38.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
38.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
38.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
37.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
37.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
37.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
37.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
37.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
37.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
37.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
37.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
37.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
36.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
36.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
36.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
36.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
36.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
36.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
36.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
36.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
36.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
36.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
36.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
36.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
36.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
35.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
35.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
35.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
35.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
35.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
35.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
35.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
35.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
35.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
35.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
35.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
35.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
35.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
35.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
34.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
34.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
34.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
34.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
34.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
34.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
34.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
34.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
34.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
34.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
33.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
33.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
33.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
33.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
33.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
33.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
33.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
33.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
32.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
32.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
32.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
32.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
32.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
32.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
32.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
32.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
32.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
32.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
32.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
31.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
31.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
31.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
30.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
30.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
30.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
30.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
30.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
30.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
30.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
30.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
29.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
29.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
29.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
29.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
29.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
29.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
29.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
28.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
28.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
28.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
28.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
28.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
27.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
27.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
27.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
27.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
26.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
26.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
26.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
26.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
25.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
25.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
23.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
23.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
23.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
22.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
22.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
21.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
20.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
20.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
20.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
19.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
18.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PFDN2 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
135.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
271.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
253.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
228.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
228.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
223.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
217.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
206.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
197.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
193.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
189.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
180.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
179.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
177.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
176.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
176.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
175.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
172.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
168.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
165.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
162.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
158.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
158.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
158.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
156.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
153.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
151.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
149.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
148.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
144.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
144.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
143.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
142.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
142.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
140.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
140.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
139.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
138.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
137.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
136.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
134.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
134.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
134.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
133.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
133.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
132.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
131.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
129.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
125.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
123.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
123.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
121.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
119.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
119.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
119.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
118.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
117.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
116.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
115.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
115.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
111.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
111.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
109.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
106.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
106.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
105.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
105.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
103.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
101.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
100.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
97.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
97.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
96.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
96.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
96.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
93.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
93.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
92.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
91.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
91.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
87.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
85.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
80.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
76.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
76.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
75.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
71.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
68.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PFDN2 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
41.1
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
100.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
72.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
70.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
70.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
68.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
66.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
66.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
65.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
65.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
64.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
64.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
64.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
62.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
62.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
62.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
61.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
61.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
60.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
60.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
57.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
56.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
56.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
56.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
55.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
55.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
55.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
54.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
53.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
52.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
52.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
51.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
50.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
50.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
50.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
50.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
49.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
49.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
49.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
48.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
48.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
48.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
47.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
47.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
47.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
47.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
47.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
46.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
46.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
46.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
46.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
46.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
46.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
46.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
45.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
45.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
45.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
45.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
45.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
45.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
45.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
44.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
44.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
44.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
44.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
44.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
44.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
44.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
43.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
43.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
43.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
43.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
43.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
42.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
42.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
42.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
42.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
41.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
41.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
41.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
41.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
41.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
41.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
41.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
40.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
39.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
39.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
39.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
39.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
38.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
38.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
38.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
38.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
38.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
38.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
38.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
38.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
38.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
37.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
37.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
37.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
36.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
36.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
36.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
36.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
36.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
36.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
36.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
36.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
35.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
35.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
35.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
35.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
34.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
34.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
34.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
34.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
34.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
33.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
33.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
33.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
33.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
32.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
32.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
32.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
32.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
32.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
32.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
31.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
31.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
31.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
31.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
31.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
31.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
30.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
30.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
30.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
29.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
29.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
29.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
29.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
29.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
28.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
28.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
28.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
28.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
27.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
27.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
27.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
27.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
27.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
27.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
26.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
26.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
26.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
26.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
26.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
25.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
24.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
23.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
22.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
21.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
19.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
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Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.7
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
