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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ACSL5 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
127.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
422.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
289.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
279.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
262.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
243.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
239.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
239.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
231.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
227.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
227.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
226.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
225.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
220.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
219.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
217.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
214.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
208.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
208.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
207.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
207.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
206.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
204.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
204.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
203.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
201.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
199.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
198.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
196.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
195.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
194.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
194.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
193.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
192.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
188.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
188.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
187.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
184.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
182.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
181.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
181.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
179.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
178.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
178.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
176.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
176.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
175.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
174.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
174.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
174.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
173.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
171.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
170.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
169.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
168.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
167.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
167.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
167.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
166.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
165.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
164.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
162.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
162.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
162.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
161.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
160.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
159.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
159.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
158.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
157.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
155.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
155.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
154.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
154.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
154.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
153.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
153.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
152.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
151.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
150.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
149.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
149.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
149.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
148.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
148.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
148.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
147.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
147.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
147.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
147.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
147.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
146.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
146.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
145.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
145.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
144.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
144.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
144.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
144.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
142.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
141.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
140.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
139.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
138.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
138.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
136.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
136.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
136.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
135.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
134.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
133.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
132.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
131.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
131.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
131.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
131.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
130.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
130.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
129.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
129.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
129.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
129.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
128.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
128.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
125.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
125.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
123.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
123.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
122.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
122.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
121.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
121.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
121.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
120.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
120.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
120.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
119.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
117.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
116.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
116.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
115.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
115.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
114.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
114.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
113.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
112.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
111.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
109.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
109.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
108.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
108.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
108.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
107.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
106.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
106.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
106.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
105.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
105.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
105.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
104.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
103.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
103.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
103.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
102.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
102.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
102.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
101.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
100.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
99.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
99.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
99.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
98.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
97.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
97.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
97.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
97.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
97.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
96.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
96.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
96.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
95.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
95.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
95.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
95.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
94.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
94.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
94.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
94.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
93.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
93.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
93.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
92.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
92.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
92.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
91.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
91.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
90.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
90.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
89.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
89.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
88.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
87.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
87.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
87.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
87.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
87.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
84.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
84.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
81.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
81.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
76.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
75.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
75.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
74.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
73.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
73.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
70.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
70.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
69.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
69.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
69.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
68.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
67.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
65.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
62.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
61.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
60.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
58.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
57.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
55.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
55.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
54.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
52.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
52.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
51.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
51.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
50.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
49.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
46.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
45.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
44.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
43.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
43.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
42.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
40.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
39.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
38.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
36.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
34.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
33.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
31.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
26.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
24.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 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.
ACSL5 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
122.4
Number of samples
486
Samples
Sample
Description
TPM
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
351.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
298.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
275.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
268.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
256.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
255.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
252.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
246.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
245.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
244.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
241.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
241.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
236.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
235.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
227.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
226.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
224.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
222.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
222.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
219.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
218.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
215.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
215.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
214.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
210.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
210.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
207.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
206.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
206.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
205.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
204.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
204.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
204.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
203.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
203.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
203.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
202.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
202.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
201.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
201.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
201.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
201.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
199.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
197.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
196.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
194.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
193.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
193.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
192.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
191.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
191.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
191.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
191.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
190.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
190.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
187.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
187.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
185.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
185.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
185.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
185.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
184.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
184.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
182.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
182.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
182.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
181.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
179.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
178.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
177.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
177.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
175.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
175.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
175.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
175.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
174.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
174.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
174.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
173.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
172.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
172.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
171.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
171.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
171.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
170.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
170.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
170.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
169.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
169.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
168.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
168.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
167.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
167.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
167.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
167.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
166.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
166.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
166.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
166.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
165.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
165.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
164.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
164.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
163.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
162.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
162.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
162.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
161.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
160.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
160.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
160.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
158.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
156.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
156.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
155.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
155.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
155.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
154.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
154.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
154.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
153.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
153.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
153.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
152.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
152.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
152.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
151.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
151.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
150.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
150.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
150.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
149.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
148.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
148.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
147.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
147.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
146.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
146.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
146.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
146.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
146.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
146.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
145.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
145.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
145.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
144.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
144.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
143.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
143.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
142.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
142.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
142.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
142.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
142.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
141.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
141.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
140.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
140.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
139.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
139.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
139.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
139.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
139.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
138.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
138.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
138.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
137.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
137.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
137.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
136.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
136.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
136.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
135.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
135.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
135.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
135.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
134.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
134.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
134.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
134.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
134.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
133.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
133.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
133.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
133.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
133.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
133.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
132.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
132.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
132.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
132.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
132.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
130.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
130.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
130.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
129.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
129.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
129.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
129.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
128.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
128.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
128.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
128.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
128.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
128.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
127.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
127.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
127.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
126.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
126.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
126.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
125.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
125.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
125.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
125.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
125.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
125.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
124.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
123.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
123.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
123.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
122.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
122.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
122.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
121.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
121.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
121.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
120.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
120.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
120.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
120.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
120.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
120.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
120.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
119.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
119.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
119.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
119.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
119.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
119.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
119.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
118.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
117.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
116.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
116.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
116.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
115.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
115.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
115.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
115.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
115.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
115.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
114.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
114.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
114.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
114.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
113.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
113.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
112.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
112.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
112.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
112.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
112.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
111.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
111.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
111.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
110.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
110.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
110.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
110.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
110.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
109.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
109.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
109.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
108.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
108.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
108.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
108.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
108.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
108.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
107.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
107.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
107.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
107.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
106.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
106.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
106.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
106.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
106.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
104.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
104.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
104.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
104.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
104.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
103.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
103.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
103.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
103.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
102.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
102.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
102.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
102.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
101.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
101.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
101.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
101.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
101.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
101.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
100.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
100.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
100.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
100.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
100.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
99.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
99.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
99.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
99.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
99.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
97.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
97.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
97.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
97.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
97.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
96.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
96.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
96.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
95.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
95.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
95.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
95.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
95.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
94.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
94.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
94.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
94.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
94.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
93.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
93.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
92.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
91.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
91.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
91.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
91.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
91.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
91.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
90.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
89.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
89.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
89.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
89.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
88.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
88.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
88.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
88.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
88.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
88.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
87.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
87.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
86.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
86.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
86.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
85.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
85.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
85.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
85.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
84.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
84.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
84.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
84.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
84.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
83.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
83.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
83.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
83.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
82.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
82.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
82.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
82.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
82.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
82.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
82.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
81.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
80.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
80.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
80.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
79.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
78.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
78.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
78.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
78.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
78.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
78.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
78.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
78.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
77.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
77.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
77.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
77.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
76.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
75.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
75.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
75.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
74.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
74.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
73.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
72.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
72.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
72.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
72.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
72.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
71.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
70.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
69.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
68.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
68.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
67.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
67.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
67.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
67.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
67.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
67.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
66.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
66.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
65.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
65.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
64.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
64.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
63.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
63.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
63.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
63.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
63.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
62.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
62.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
62.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
61.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
61.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
61.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
61.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
61.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
60.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
58.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
58.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
57.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
55.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
55.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
53.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
53.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
51.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
51.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
51.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
50.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
49.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
48.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
48.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
45.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
44.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
44.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
44.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
43.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
42.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
40.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
39.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
37.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
37.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
36.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
36.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
32.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
30.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
27.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
25.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
19.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
17.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
16.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
13.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
11.3
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.
ACSL5 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
132.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
264.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
251.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
251.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
232.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
227.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
215.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
210.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
206.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
206.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
188.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
188.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
186.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
181.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
180.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
176.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
176.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
174.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
171.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
170.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
169.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
168.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
168.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
168.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
167.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
166.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
161.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
160.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
159.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
159.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
159.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
158.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
156.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
155.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
152.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
151.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
150.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
146.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
146.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
145.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
143.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
141.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
141.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
139.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
138.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
137.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
136.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
136.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
133.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
129.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
128.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
121.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
119.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
117.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
117.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
116.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
116.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
115.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
114.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
113.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
111.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
109.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
101.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
99.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
97.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
96.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
89.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
89.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
89.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
89.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
86.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
82.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
79.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
77.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
77.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
75.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
73.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
70.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
69.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
65.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
60.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
59.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
49.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
48.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
46.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
38.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
36.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
26.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 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.
ACSL5 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
125.2
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
264.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
237.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
233.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
227.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
222.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
220.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
219.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
218.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
218.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
215.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
212.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
210.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
208.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
200.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
200.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
198.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
197.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
195.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
191.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
191.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
188.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
188.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
187.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
184.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
181.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
177.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
176.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
176.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
175.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
172.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
171.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
170.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
169.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
169.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
167.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
165.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
164.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
164.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
163.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
163.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
161.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
161.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
160.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
159.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
159.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
158.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
157.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
156.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
155.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
154.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
154.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
153.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
152.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
152.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
152.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
151.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
151.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
150.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
150.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
149.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
149.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
148.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
147.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
147.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
146.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
145.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
144.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
143.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
143.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
142.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
142.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
141.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
141.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
140.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
140.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
140.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
139.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
138.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
138.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
134.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
134.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
133.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
132.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
132.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
131.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
131.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
131.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
130.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
130.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
130.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
130.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
129.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
128.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
128.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
126.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
126.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
125.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
124.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
124.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
123.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
123.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
122.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
121.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
121.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
120.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
120.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
119.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
119.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
119.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
119.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
118.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
117.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
117.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
116.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
115.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
114.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
113.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
112.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
112.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
111.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
111.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
110.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
110.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
110.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
109.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
109.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
108.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
108.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
107.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
106.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
106.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
106.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
106.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
105.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
105.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
104.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
104.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
104.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
104.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
102.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
101.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
101.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
101.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
100.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
99.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
98.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
98.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
97.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
97.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
96.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
94.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
93.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
93.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
93.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
91.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
91.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
91.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
91.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
91.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
90.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
90.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
90.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
89.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
89.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
86.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
86.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
85.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
85.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
84.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
83.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
83.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
83.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
82.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
81.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
79.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
73.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
73.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
73.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
72.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
72.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
71.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
71.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
71.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
71.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
70.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
70.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
69.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
69.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
68.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
65.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
64.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
63.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
62.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
59.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
57.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
57.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
54.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
52.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
49.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
46.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
46.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
46.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
43.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
1.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
1.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.9
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.8
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.7
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.8
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.8
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.9
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.9
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
