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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.
LASP1 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
128.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
406.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
345.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
285.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
238.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
227.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
217.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
209.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
206.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
205.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
196.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
196.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
193.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
189.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
184.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
182.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
180.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
179.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
177.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
177.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
176.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
174.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
173.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
172.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
172.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
172.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
171.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
171.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
171.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
170.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
170.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
168.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
167.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
167.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
167.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
166.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
166.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
166.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
166.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
165.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
163.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
163.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
163.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
159.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
159.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
159.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
158.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
158.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
158.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
156.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
156.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
155.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
154.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
154.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
154.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
154.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
153.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
153.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
153.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
152.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
151.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
151.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
149.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
148.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
148.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
148.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
148.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
148.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
147.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
147.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
146.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
146.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
145.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
145.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
145.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
145.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
144.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
143.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
143.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
143.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
143.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
143.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
143.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
142.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
142.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
142.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
142.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
142.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
142.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
141.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
141.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
140.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
140.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
140.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
139.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
138.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
138.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
137.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
137.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
136.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
135.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
135.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
135.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
134.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
134.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
133.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
133.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
132.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
131.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
130.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
129.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
129.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
129.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
128.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
128.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
128.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
128.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
128.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
127.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
127.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
127.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
126.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
126.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
126.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
126.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
125.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
125.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
125.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
125.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
125.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
124.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
124.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
124.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
124.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
123.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
123.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
123.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
123.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
122.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
121.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
121.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
120.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
120.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
119.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
119.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
118.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
118.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
118.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
118.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
116.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
116.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
116.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
116.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
116.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
116.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
116.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
116.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
116.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
113.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
113.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
113.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
112.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
112.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
112.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
112.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
111.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
111.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
111.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
110.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
110.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
110.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
110.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
110.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
110.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
109.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
108.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
108.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
108.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
107.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
105.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
105.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
105.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
104.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
104.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
103.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
102.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
102.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
101.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
101.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
101.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
101.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
100.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
100.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
98.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
98.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
98.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
98.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
98.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
98.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
97.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
96.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
95.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
95.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
95.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
94.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
94.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
93.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
92.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
92.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
91.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
91.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
91.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
91.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
91.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
90.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
89.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
89.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
88.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
87.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
87.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
87.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
86.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
86.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
84.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
84.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
84.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
83.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
83.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
82.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
81.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
81.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
80.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
79.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
79.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
79.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
79.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
78.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
77.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
76.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
74.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
73.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
72.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
71.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
69.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
67.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
65.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
61.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
61.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
61.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
56.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
56.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
55.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
47.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
47.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
LASP1 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
165.6
Number of samples
486
Samples
Sample
Description
TPM
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
674.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
504.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
369.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
337.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
282.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
270.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
259.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
256.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
251.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
246.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
245.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
245.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
245.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
243.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
243.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
242.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
241.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
241.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
241.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
238.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
238.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
236.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
236.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
235.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
233.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
231.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
229.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
228.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
227.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
225.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
223.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
222.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
220.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
219.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
219.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
219.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
218.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
218.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
216.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
216.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
215.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
215.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
215.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
214.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
214.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
214.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
212.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
212.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
212.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
211.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
211.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
211.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
209.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
209.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
208.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
207.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
207.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
207.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
207.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
207.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
206.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
206.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
206.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
205.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
204.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
204.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
203.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
203.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
203.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
203.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
203.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
202.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
201.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
201.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
201.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
201.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
201.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
201.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
200.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
200.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
200.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
200.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
199.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
199.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
199.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
199.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
199.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
199.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
198.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
198.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
197.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
197.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
197.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
197.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
197.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
196.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
195.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
195.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
194.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
194.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
194.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
193.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
193.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
193.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
192.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
191.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
191.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
191.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
190.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
190.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
190.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
190.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
190.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
190.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
188.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
187.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
187.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
187.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
187.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
187.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
186.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
186.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
186.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
185.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
185.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
184.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
183.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
183.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
183.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
183.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
183.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
183.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
183.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
182.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
182.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
182.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
181.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
181.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
181.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
181.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
180.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
180.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
180.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
180.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
180.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
179.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
179.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
179.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
179.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
178.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
178.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
177.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
177.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
176.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
176.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
176.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
176.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
176.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
176.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
176.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
175.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
175.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
175.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
175.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
174.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
174.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
174.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
174.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
174.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
173.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
173.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
173.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
173.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
173.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
173.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
172.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
172.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
172.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
172.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
172.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
171.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
171.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
171.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
170.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
170.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
170.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
170.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
170.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
170.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
170.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
170.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
169.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
169.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
169.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
169.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
168.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
168.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
168.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
168.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
168.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
167.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
167.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
167.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
167.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
167.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
167.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
167.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
166.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
166.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
165.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
165.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
165.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
165.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
165.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
165.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
164.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
164.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
164.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
164.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
164.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
164.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
164.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
164.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
164.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
163.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
163.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
163.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
163.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
163.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
163.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
163.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
162.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
162.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
162.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
162.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
161.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
161.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
161.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
161.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
161.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
161.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
160.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
160.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
160.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
160.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
159.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
159.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
159.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
159.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
159.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
159.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
159.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
159.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
158.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
158.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
158.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
158.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
158.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
158.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
158.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
157.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
157.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
157.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
157.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
157.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
157.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
157.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
156.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
156.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
156.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
156.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
156.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
155.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
155.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
155.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
155.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
155.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
155.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
154.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
154.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
154.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
154.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
154.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
154.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
154.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
154.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
153.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
153.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
153.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
153.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
153.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
153.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
152.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
152.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
152.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
152.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
152.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
152.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
151.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
151.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
151.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
151.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
150.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
150.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
150.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
150.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
149.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
149.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
149.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
149.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
149.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
148.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
148.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
147.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
147.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
147.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
147.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
146.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
146.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
146.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
146.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
146.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
146.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
146.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
145.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
145.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
145.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
145.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
144.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
144.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
144.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
144.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
143.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
143.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
143.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
143.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
143.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
143.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
143.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
142.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
142.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
142.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
142.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
142.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
142.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
141.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
141.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
141.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
141.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
140.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
140.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
140.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
140.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
140.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
139.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
139.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
139.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
139.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
139.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
139.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
139.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
139.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
139.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
138.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
138.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
138.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
138.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
138.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
137.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
137.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
136.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
136.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
136.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
136.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
136.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
135.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
135.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
135.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
135.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
135.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
134.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
134.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
134.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
134.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
134.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
134.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
134.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
134.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
133.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
133.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
133.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
133.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
133.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
133.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
132.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
132.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
132.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
132.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
132.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
131.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
131.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
131.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
130.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
130.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
130.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
129.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
129.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
129.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
129.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
129.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
129.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
128.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
127.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
127.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
127.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
127.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
127.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
127.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
127.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
127.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
126.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
126.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
126.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
125.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
125.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
125.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
124.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
124.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
124.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
124.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
124.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
124.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
123.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
122.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
122.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
122.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
122.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
122.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
122.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
121.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
121.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
121.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
121.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
121.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
120.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
119.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
118.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
118.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
118.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
117.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
117.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
117.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
116.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
116.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
116.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
116.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
116.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
115.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
114.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
114.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
113.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
113.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
113.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
112.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
112.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
111.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
110.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
110.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
108.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
107.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
107.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
103.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
102.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
100.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
99.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
97.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
97.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
92.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
92.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
92.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
92.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
91.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
89.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
77.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.6
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.
LASP1 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
123.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
496.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
261.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
212.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
201.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
194.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
176.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
171.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
165.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
163.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
163.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
162.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
155.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
153.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
152.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
149.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
148.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
148.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
146.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
144.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
143.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
142.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
141.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
140.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
139.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
137.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
135.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
134.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
133.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
131.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
131.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
131.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
130.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
129.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
129.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
129.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
127.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
127.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
126.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
126.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
126.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
125.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
125.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
123.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
123.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
122.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
122.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
120.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
120.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
116.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
114.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
113.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
113.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
112.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
111.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
111.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
110.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
108.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
107.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
106.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
104.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
101.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
101.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
100.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
99.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
99.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
98.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
98.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
97.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
94.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
93.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
93.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
92.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
91.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
89.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
89.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
82.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
72.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
71.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
71.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
71.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
65.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
60.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
58.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
58.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
51.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
50.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
34.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LASP1 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
149.3
Number of samples
207
Samples
Sample
Description
TPM
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
266.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
230.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
226.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
220.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
219.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
213.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
211.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
211.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
210.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
204.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
203.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
203.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
200.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
197.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
193.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
192.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
189.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
188.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
187.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
186.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
186.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
186.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
186.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
185.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
185.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
184.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
184.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
183.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
183.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
183.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
182.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
182.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
181.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
181.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
179.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
178.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
177.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
177.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
175.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
175.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
172.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
171.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
171.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
171.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
171.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
171.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
170.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
170.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
170.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
170.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
169.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
168.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
167.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
167.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
166.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
165.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
165.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
165.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
164.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
164.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
164.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
164.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
163.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
163.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
163.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
162.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
162.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
162.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
161.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
161.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
161.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
161.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
161.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
160.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
159.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
159.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
159.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
159.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
157.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
157.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
157.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
157.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
156.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
156.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
155.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
155.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
155.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
153.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
151.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
151.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
150.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
150.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
150.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
149.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
149.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
149.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
148.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
148.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
148.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
147.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
147.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
147.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
147.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
146.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
146.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
146.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
146.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
146.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
145.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
145.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
145.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
145.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
145.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
144.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
144.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
144.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
143.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
143.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
143.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
143.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
143.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
142.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
142.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
142.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
142.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
142.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
142.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
141.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
141.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
140.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
140.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
140.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
138.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
138.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
138.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
137.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
137.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
134.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
134.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
134.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
133.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
133.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
132.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
131.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
131.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
131.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
130.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
130.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
130.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
129.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
129.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
129.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
127.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
127.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
126.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
126.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
126.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
126.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
125.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
125.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
125.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
124.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
124.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
124.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
124.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
124.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
123.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
123.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
123.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
123.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
122.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
121.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
120.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
120.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
120.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
120.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
119.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
119.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
116.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
115.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
114.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
114.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
114.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
112.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
112.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
112.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
111.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
111.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
111.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
110.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
110.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
107.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
106.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
105.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
105.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
104.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
102.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
101.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
100.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
99.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
95.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
94.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
93.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
87.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
83.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
79.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
35.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
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Normal
0.0
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Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
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Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
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Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
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Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
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Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
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Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
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Tumor
-0.7
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.0
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
