We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
DYNLT1 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
139.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
306.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
298.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
288.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
267.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
265.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
227.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
218.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
211.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
209.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
208.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
205.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
201.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
200.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
198.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
194.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
194.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
193.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
192.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
191.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
191.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
187.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
187.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
186.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
184.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
184.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
182.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
182.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
182.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
181.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
179.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
178.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
178.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
177.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
176.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
176.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
175.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
174.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
174.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
174.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
172.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
172.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
171.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
171.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
170.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
169.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
168.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
167.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
167.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
167.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
166.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
166.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
165.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
164.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
163.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
163.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
163.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
163.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
163.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
162.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
162.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
162.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
161.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
161.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
161.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
160.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
159.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
159.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
157.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
156.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
156.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
155.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
154.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
154.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
154.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
153.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
153.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
153.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
153.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
151.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
150.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
149.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
149.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
148.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
148.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
148.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
147.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
147.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
147.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
147.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
147.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
147.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
146.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
146.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
145.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
145.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
145.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
145.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
145.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
145.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
145.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
145.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
145.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
144.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
143.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
143.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
142.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
142.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
142.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
141.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
141.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
140.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
140.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
140.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
139.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
139.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
139.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
139.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
139.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
139.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
138.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
138.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
138.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
138.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
137.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
137.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
137.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
137.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
136.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
136.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
136.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
136.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
136.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
136.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
136.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
135.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
135.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
134.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
134.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
134.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
134.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
134.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
134.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
134.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
133.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
132.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
132.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
131.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
131.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
131.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
130.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
130.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
130.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
130.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
130.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
129.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
129.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
128.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
128.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
127.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
127.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
127.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
127.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
126.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
125.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
125.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
124.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
124.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
124.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
124.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
124.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
123.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
123.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
123.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
122.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
122.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
122.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
122.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
121.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
121.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
120.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
120.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
120.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
119.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
119.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
118.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
118.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
118.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
117.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
117.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
116.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
114.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
114.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
114.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
114.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
114.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
114.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
113.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
112.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
112.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
112.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
111.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
111.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
110.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
110.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
108.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
107.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
107.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
106.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
105.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
105.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
105.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
105.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
104.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
104.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
103.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
103.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
102.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
101.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
101.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
100.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
100.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
99.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
99.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
97.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
97.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
96.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
96.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
95.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
94.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
92.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
92.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
91.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
91.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
91.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
91.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
90.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
90.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
89.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
89.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
87.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
86.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
86.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
85.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
84.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
81.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
79.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
74.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
72.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
69.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
64.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
58.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
58.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
53.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DYNLT1 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
87.6
Number of samples
486
Samples
Sample
Description
TPM
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
211.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
196.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
153.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
150.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
149.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
149.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
148.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
148.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
139.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
138.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
137.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
136.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
135.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
134.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
134.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
132.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
131.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
129.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
129.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
128.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
126.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
126.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
126.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
125.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
125.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
125.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
125.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
125.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
125.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
124.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
123.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
123.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
123.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
122.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
122.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
122.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
122.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
121.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
121.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
121.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
120.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
119.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
119.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
119.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
118.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
118.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
118.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
118.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
118.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
117.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
116.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
116.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
116.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
116.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
115.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
115.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
115.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
115.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
115.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
115.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
114.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
114.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
114.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
113.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
113.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
113.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
112.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
112.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
112.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
111.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
111.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
111.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
111.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
111.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
111.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
110.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
110.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
110.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
110.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
109.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
109.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
109.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
109.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
109.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
109.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
108.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
108.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
108.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
108.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
108.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
108.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
108.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
108.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
108.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
107.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
107.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
107.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
107.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
107.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
107.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
106.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
106.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
106.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
106.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
105.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
105.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
105.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
105.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
105.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
104.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
104.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
104.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
104.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
103.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
103.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
103.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
103.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
103.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
103.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
103.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
103.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
103.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
103.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
103.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
102.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
102.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
102.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
102.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
102.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
102.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
102.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
102.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
101.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
101.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
101.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
101.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
101.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
101.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
101.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
100.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
100.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
100.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
100.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
100.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
99.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
99.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
99.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
99.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
99.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
98.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
98.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
98.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
98.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
98.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
98.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
98.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
97.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
97.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
97.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
97.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
97.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
97.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
96.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
95.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
95.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
95.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
95.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
95.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
95.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
95.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
95.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
95.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
94.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
94.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
94.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
94.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
93.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
93.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
93.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
93.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
93.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
93.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
92.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
92.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
92.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
92.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
92.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
92.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
92.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
91.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
91.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
91.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
91.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
91.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
90.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
90.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
90.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
90.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
90.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
90.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
90.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
90.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
90.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
90.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
90.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
89.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
89.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
89.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
89.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
89.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
89.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
89.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
89.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
88.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
88.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
88.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
88.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
88.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
88.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
88.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
88.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
87.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
87.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
87.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
87.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
87.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
87.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
87.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
87.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
87.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
87.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
86.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
86.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
86.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
86.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
85.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
85.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
85.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
85.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
85.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
85.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
85.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
85.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
84.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
84.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
84.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
84.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
84.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
84.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
84.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
84.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
84.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
84.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
83.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
83.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
83.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
83.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
83.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
82.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
82.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
82.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
82.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
82.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
82.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
82.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
82.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
81.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
81.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
81.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
81.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
81.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
81.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
81.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
80.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
80.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
80.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
80.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
80.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
80.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
80.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
80.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
80.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
79.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
79.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
79.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
79.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
79.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
79.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
79.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
78.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
78.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
78.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
78.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
78.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
78.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
78.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
78.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
78.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
78.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
78.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
77.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
77.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
77.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
77.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
77.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
77.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
77.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
77.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
77.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
77.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
76.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
76.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
76.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
76.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
76.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
76.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
76.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
76.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
75.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
75.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
75.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
75.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
75.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
75.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
75.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
75.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
75.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
75.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
75.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
75.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
74.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
74.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
74.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
74.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
74.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
74.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
74.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
74.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
73.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
73.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
73.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
73.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
73.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
73.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
73.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
73.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
73.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
73.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
73.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
73.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
73.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
73.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
73.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
73.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
73.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
73.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
72.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
72.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
72.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
72.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
72.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
72.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
72.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
72.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
71.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
71.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
71.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
71.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
71.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
71.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
71.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
71.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
70.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
70.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
70.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
70.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
70.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
70.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
70.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
70.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
69.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
69.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
69.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
69.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
69.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
69.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
69.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
69.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
69.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
68.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
68.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
68.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
68.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
68.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
67.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
67.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
67.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
67.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
66.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
66.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
66.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
66.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
66.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
66.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
66.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
65.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
65.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
65.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
65.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
65.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
65.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
64.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
64.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
64.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
64.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
64.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
64.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
63.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
63.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
63.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
62.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
62.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
62.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
62.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
62.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
61.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
61.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
61.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
61.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
61.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
61.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
61.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
61.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
61.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
60.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
60.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
60.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
60.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
60.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
60.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
60.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
60.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
60.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
59.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
59.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
59.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
59.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
59.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
58.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
58.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
58.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
58.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
57.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
56.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
56.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
56.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
54.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
54.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
53.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
53.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
52.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
52.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
52.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
52.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
51.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
51.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
50.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
50.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
50.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
50.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
49.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
45.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
41.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
41.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
37.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
35.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
33.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
DYNLT1 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
138.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
271.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
258.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
245.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
234.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
221.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
213.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
202.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
199.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
194.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
194.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
192.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
190.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
186.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
181.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
177.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
169.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
165.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
162.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
161.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
160.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
160.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
158.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
156.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
152.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
152.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
151.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
150.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
148.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
147.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
147.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
145.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
145.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
145.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
142.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
142.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
140.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
139.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
139.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
139.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
138.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
138.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
136.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
135.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
135.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
134.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
133.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
133.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
132.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
132.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
131.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
129.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
128.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
127.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
123.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
120.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
120.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
118.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
118.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
118.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
117.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
117.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
117.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
116.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
113.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
111.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
109.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
108.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
106.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
105.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
105.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
103.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
102.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
99.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
98.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
93.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
92.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
92.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
90.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
87.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
84.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
82.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
81.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
81.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
78.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
78.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
77.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
76.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
DYNLT1 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
73.2
Number of samples
207
Samples
Sample
Description
TPM
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
151.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
136.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
132.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
121.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
118.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
117.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
114.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
113.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
109.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
107.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
106.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
106.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
105.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
105.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
105.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
102.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
101.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
99.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
99.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
99.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
97.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
97.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
96.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
96.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
96.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
96.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
96.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
96.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
95.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
95.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
93.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
91.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
91.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
91.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
90.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
89.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
89.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
89.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
88.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
88.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
87.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
87.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
87.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
86.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
86.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
86.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
85.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
84.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
84.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
83.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
83.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
83.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
83.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
83.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
82.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
82.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
82.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
82.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
81.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
81.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
81.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
80.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
80.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
80.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
80.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
79.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
79.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
79.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
79.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
78.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
78.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
78.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
78.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
77.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
77.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
76.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
76.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
76.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
76.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
75.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
75.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
75.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
75.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
75.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
74.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
74.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
74.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
74.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
74.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
73.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
73.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
73.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
73.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
73.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
73.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
73.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
73.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
72.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
72.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
72.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
72.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
72.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
71.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
71.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
71.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
71.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
71.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
71.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
71.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
70.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
70.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
69.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
69.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
68.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
68.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
68.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
68.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
67.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
67.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
67.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
67.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
67.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
67.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
66.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
66.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
66.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
66.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
66.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
66.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
65.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
65.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
65.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
65.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
64.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
64.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
64.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
64.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
64.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
64.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
64.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
64.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
63.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
62.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
62.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
62.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
62.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
62.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
62.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
62.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
61.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
61.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
61.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
61.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
60.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
58.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
58.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
58.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
58.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
58.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
58.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
57.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
55.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
55.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
54.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
54.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
53.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
53.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
53.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
53.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
53.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
52.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
52.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
52.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
52.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
51.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
50.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
50.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
50.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
49.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
49.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
49.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
48.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
47.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
47.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
45.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
45.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
42.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
40.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
40.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.5
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.7
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.8
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.