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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.
HNRNPDL 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
113.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
247.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
231.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
216.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
214.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
211.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
203.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
199.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
198.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
197.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
191.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
190.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
188.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
187.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
181.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
179.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
176.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
176.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
174.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
172.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
167.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
165.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
164.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
163.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
162.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
160.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
160.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
160.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
160.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
160.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
159.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
158.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
158.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
155.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
155.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
153.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
152.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
150.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
150.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
149.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
149.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
149.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
148.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
148.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
147.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
146.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
145.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
144.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
143.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
143.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
142.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
141.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
141.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
140.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
140.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
139.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
139.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
137.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
137.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
137.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
136.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
136.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
136.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
135.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
135.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
135.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
135.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
134.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
134.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
133.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
132.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
132.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
131.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
131.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
131.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
131.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
130.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
130.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
130.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
129.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
129.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
128.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
128.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
128.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
127.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
127.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
127.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
127.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
126.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
125.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
125.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
124.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
124.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
123.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
123.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
123.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
122.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
121.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
121.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
121.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
120.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
119.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
119.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
119.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
118.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
118.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
117.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
117.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
116.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
115.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
114.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
114.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
114.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
113.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
113.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
113.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
112.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
112.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
112.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
111.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
110.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
110.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
110.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
109.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
109.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
109.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
108.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
108.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
108.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
107.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
107.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
107.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
106.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
106.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
106.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
105.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
105.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
105.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
104.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
103.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
103.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
102.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
102.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
102.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
102.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
101.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
101.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
100.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
100.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
100.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
99.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
99.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
98.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
98.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
97.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
97.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
96.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
96.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
95.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
95.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
95.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
95.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
95.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
95.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
95.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
95.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
94.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
94.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
94.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
94.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
94.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
94.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
93.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
93.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
93.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
93.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
93.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
93.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
92.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
91.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
91.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
90.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
89.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
89.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
89.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
89.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
89.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
89.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
88.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
88.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
88.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
88.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
87.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
87.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
86.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
86.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
85.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
84.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
84.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
84.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
83.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
82.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
82.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
82.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
82.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
82.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
82.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
81.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
81.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
81.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
80.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
80.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
79.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
79.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
78.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
77.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
76.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
76.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
76.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
75.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
75.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
74.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
74.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
74.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
74.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
74.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
74.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
73.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
72.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
70.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
70.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
69.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
68.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
66.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
65.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
65.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
65.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
64.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
64.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
63.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
63.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
62.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
62.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
61.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
61.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
60.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
56.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
56.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
54.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
50.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
48.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
47.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
47.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
41.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 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.
HNRNPDL 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
126.5
Number of samples
486
Samples
Sample
Description
TPM
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
226.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
212.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
200.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
198.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
196.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
195.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
194.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
194.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
193.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
191.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
188.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
186.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
186.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
186.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
186.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
185.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
183.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
182.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
182.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
182.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
181.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
180.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
180.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
178.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
175.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
173.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
173.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
172.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
171.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
171.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
171.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
171.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
170.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
170.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
169.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
169.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
168.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
168.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
168.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
168.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
168.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
168.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
167.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
166.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
166.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
165.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
164.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
163.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
163.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
162.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
162.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
162.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
162.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
162.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
161.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
161.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
161.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
161.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
161.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
160.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
160.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
159.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
159.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
159.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
159.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
159.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
158.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
158.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
158.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
158.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
158.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
157.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
157.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
157.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
157.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
157.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
156.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
155.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
155.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
155.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
155.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
155.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
155.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
154.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
154.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
154.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
153.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
153.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
153.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
153.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
152.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
152.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
152.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
152.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
152.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
152.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
152.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
151.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
151.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
151.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
150.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
150.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
150.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
150.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
149.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
149.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
149.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
149.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
149.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
148.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
148.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
148.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
147.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
147.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
146.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
146.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
146.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
146.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
145.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
145.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
145.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
145.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
145.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
145.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
144.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
144.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
144.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
144.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
144.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
144.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
143.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
143.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
143.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
143.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
143.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
143.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
143.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
142.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
142.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
142.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
142.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
142.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
142.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
142.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
142.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
141.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
141.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
141.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
141.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
141.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
141.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
140.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
140.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
140.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
140.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
139.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
139.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
139.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
139.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
138.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
138.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
138.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
138.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
138.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
138.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
138.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
137.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
137.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
137.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
137.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
137.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
137.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
137.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
136.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
136.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
136.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
136.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
135.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
135.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
135.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
135.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
135.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
135.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
135.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
135.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
135.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
135.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
135.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
133.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
133.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
133.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
133.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
133.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
133.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
133.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
133.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
132.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
132.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
132.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
132.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
132.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
132.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
132.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
132.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
132.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
131.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
131.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
131.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
131.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
130.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
130.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
130.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
130.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
130.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
129.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
129.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
129.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
129.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
129.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
129.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
129.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
129.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
128.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
128.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
128.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
127.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
127.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
127.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
127.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
127.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
127.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
127.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
127.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
127.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
127.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
127.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
127.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
126.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
126.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
126.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
126.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
126.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
126.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
126.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
125.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
125.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
124.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
124.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
124.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
124.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
124.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
124.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
124.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
124.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
124.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
123.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
123.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
123.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
123.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
123.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
123.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
123.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
123.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
123.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
122.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
122.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
122.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
122.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
122.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
122.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
122.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
122.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
122.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
121.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
121.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
121.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
121.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
121.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
121.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
121.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
121.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
121.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
120.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
120.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
120.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
120.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
120.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
120.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
119.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
119.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
119.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
119.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
119.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
119.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
119.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
119.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
118.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
118.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
118.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
117.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
117.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
117.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
117.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
117.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
116.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
116.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
116.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
116.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
116.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
116.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
116.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
116.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
116.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
116.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
116.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
115.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
115.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
115.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
115.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
115.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
115.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
115.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
115.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
115.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
114.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
114.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
114.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
114.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
114.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
114.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
113.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
113.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
113.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
113.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
113.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
112.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
112.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
112.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
112.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
112.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
112.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
112.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
111.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
111.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
111.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
110.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
110.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
110.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
110.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
109.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
108.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
108.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
108.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
108.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
107.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
107.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
107.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
107.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
107.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
107.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
107.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
107.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
107.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
107.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
106.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
106.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
106.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
106.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
106.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
106.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
106.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
106.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
105.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
105.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
104.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
104.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
104.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
104.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
104.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
104.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
104.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
104.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
104.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
103.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
103.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
103.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
102.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
102.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
101.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
101.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
101.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
100.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
100.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
99.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
99.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
99.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
98.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
98.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
98.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
98.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
98.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
97.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
97.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
97.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
97.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
96.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
96.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
96.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
96.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
96.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
96.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
95.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
95.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
95.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
95.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
94.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
94.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
94.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
93.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
93.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
93.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
93.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
93.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
93.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
93.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
93.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
92.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
92.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
92.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
92.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
91.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
90.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
90.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
89.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
89.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
89.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
88.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
88.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
88.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
88.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
88.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
88.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
87.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
87.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
87.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
86.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
86.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
86.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
85.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
84.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
84.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
83.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
83.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
83.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
82.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
82.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
82.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
82.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
81.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
80.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
80.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
79.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
78.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
77.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
77.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
77.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
76.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
75.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
75.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
73.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
73.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
72.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
71.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
71.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
71.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
70.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
70.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
70.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
69.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
66.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
62.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
61.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
61.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
42.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.0
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.
HNRNPDL 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
116.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
194.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
193.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
190.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
183.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
179.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
175.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
174.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
168.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
164.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
163.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
163.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
162.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
162.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
162.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
162.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
157.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
156.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
155.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
153.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
151.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
151.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
150.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
145.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
144.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
144.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
143.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
141.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
139.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
137.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
137.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
132.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
132.0
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
130.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
128.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
126.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
125.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
124.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
121.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
119.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
119.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
118.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
118.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
117.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
115.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
114.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
112.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
110.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
109.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
109.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
107.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
105.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
105.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
104.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
104.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
104.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
103.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
103.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
101.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
100.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
97.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
94.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
93.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
92.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
90.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
89.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
89.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
87.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
83.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
83.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
82.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
82.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
79.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
78.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
75.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
72.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
72.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
70.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
67.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
66.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
62.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
59.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
58.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
58.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
56.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
55.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
49.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
40.5
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.
HNRNPDL 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
121.6
Number of samples
207
Samples
Sample
Description
TPM
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
211.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
210.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
198.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
193.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
190.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
179.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
178.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
175.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
175.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
171.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
171.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
170.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
170.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
168.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
167.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
167.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
165.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
165.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
162.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
158.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
158.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
155.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
155.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
155.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
155.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
154.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
154.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
154.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
153.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
152.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
152.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
152.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
150.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
150.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
150.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
150.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
150.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
149.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
149.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
148.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
148.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
147.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
145.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
144.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
143.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
143.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
142.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
142.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
141.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
141.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
141.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
140.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
140.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
139.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
139.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
139.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
138.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
137.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
137.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
137.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
137.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
137.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
136.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
136.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
135.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
134.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
134.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
134.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
133.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
133.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
133.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
132.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
132.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
131.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
130.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
129.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
129.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
127.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
127.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
127.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
126.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
126.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
125.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
125.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
125.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
125.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
125.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
124.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
124.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
124.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
124.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
123.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
123.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
123.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
122.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
122.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
122.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
122.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
122.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
121.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
120.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
120.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
120.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
120.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
120.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
119.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
119.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
118.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
118.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
117.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
117.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
117.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
116.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
116.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
115.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
115.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
114.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
114.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
114.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
114.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
114.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
114.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
113.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
113.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
113.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
112.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
111.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
111.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
111.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
111.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
111.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
110.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
110.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
110.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
109.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
109.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
109.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
109.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
108.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
108.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
108.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
108.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
107.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
107.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
105.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
105.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
105.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
104.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
104.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
104.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
103.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
102.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
102.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
101.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
101.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
100.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
99.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
99.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
99.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
99.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
98.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
98.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
97.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
97.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
97.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
97.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
97.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
96.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
96.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
96.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
96.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
93.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
93.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
92.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
92.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
92.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
92.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
92.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
91.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
90.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
89.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
88.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
86.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
84.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
84.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
83.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
83.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
83.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
82.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
81.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
81.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
79.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
79.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
79.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
79.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
77.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
77.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
76.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
76.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
76.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
76.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
75.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
71.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
69.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
58.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
56.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.1
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
