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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.
CLTC is potential prognostic, high expression is favorable 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
125.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
533.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
473.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
248.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
237.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
223.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
222.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
216.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
207.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
206.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
191.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
191.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
186.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
185.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
182.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
181.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
178.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
178.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
176.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
176.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
169.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
169.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
167.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
167.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
165.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
163.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
163.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
163.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
162.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
161.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
160.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
160.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
158.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
158.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
158.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
158.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
157.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
156.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
156.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
155.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
155.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
155.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
154.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
154.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
153.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
153.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
152.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
152.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
150.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
150.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
149.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
149.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
148.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
148.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
148.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
148.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
147.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
147.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
147.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
147.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
147.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
146.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
146.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
144.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
143.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
142.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
142.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
142.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
141.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
141.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
141.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
140.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
140.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
139.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
138.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
138.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
138.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
137.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
137.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
137.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
137.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
136.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
136.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
136.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
135.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
135.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
134.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
134.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
134.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
132.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
131.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
131.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
131.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
131.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
131.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
130.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
130.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
130.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
130.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
129.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
129.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
129.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
129.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
129.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
129.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
128.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
128.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
128.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
126.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
126.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
126.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
126.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
126.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
125.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
125.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
124.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
124.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
124.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
124.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
122.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
122.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
122.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
122.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
122.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
122.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
121.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
121.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
120.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
119.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
119.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
118.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
118.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
118.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
118.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
117.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
117.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
117.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
117.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
117.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
116.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
116.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
116.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
115.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
114.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
114.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
112.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
112.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
111.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
111.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
111.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
110.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
110.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
110.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
109.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
109.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
109.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
108.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
108.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
108.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
108.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
108.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
108.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
106.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
106.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
105.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
104.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
104.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
104.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
104.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
104.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
104.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
103.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
103.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
103.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
103.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
103.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
102.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
102.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
102.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
102.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
102.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
101.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
101.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
101.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
101.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
100.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
100.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
99.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
99.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
99.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
99.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
99.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
98.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
98.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
98.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
97.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
97.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
97.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
97.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
96.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
96.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
96.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
96.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
96.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
95.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
95.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
94.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
94.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
94.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
94.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
94.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
93.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
93.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
93.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
92.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
92.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
92.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
92.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
90.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
90.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
90.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
90.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
89.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
89.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
88.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
88.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
87.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
86.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
82.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
81.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
79.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
78.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
78.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
76.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
76.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
75.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
74.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
74.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
70.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
68.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
67.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
67.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
66.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
65.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
65.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
64.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
62.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
57.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
57.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
55.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
53.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
CLTC 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
195.0
Number of samples
486
Samples
Sample
Description
TPM
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
476.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
459.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
372.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
350.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
316.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
315.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
315.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
314.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
305.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
302.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
302.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
301.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
298.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
298.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
295.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
294.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
294.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
293.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
291.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
288.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
288.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
285.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
284.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
282.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
280.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
278.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
277.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
276.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
272.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
271.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
269.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
268.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
267.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
266.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
266.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
266.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
266.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
265.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
265.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
263.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
262.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
262.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
262.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
262.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
261.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
259.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
259.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
259.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
259.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
258.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
258.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
256.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
256.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
255.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
255.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
255.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
253.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
252.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
250.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
250.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
249.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
249.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
246.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
246.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
246.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
245.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
245.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
244.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
244.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
244.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
243.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
243.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
243.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
242.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
242.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
241.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
241.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
241.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
241.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
240.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
240.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
239.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
239.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
238.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
237.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
237.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
236.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
236.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
235.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
234.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
234.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
234.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
232.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
232.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
231.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
231.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
230.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
230.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
230.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
230.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
230.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
228.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
228.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
227.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
227.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
227.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
226.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
226.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
226.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
225.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
224.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
224.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
224.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
223.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
223.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
223.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
222.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
221.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
221.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
221.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
221.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
221.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
221.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
221.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
221.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
220.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
220.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
220.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
219.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
219.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
219.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
219.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
219.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
216.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
216.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
216.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
215.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
215.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
215.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
214.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
214.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
213.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
213.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
213.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
212.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
212.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
212.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
212.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
212.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
211.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
211.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
211.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
211.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
211.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
211.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
210.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
210.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
210.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
209.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
209.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
208.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
208.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
208.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
208.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
207.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
207.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
207.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
206.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
206.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
206.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
205.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
205.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
205.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
205.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
205.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
205.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
205.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
205.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
205.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
205.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
204.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
204.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
204.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
203.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
203.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
202.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
202.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
202.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
202.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
202.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
202.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
201.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
201.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
201.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
201.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
201.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
200.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
200.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
200.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
199.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
199.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
199.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
199.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
198.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
198.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
198.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
198.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
197.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
197.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
197.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
197.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
197.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
197.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
196.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
196.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
196.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
196.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
195.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
195.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
194.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
194.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
194.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
194.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
194.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
193.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
193.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
193.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
193.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
193.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
193.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
192.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
192.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
192.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
192.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
192.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
192.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
192.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
192.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
192.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
191.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
191.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
191.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
191.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
191.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
191.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
191.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
191.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
191.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
191.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
191.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
190.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
190.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
190.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
189.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
189.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
189.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
188.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
188.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
188.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
188.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
187.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
187.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
187.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
186.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
184.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
184.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
184.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
184.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
184.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
184.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
184.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
184.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
184.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
183.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
183.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
183.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
183.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
182.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
182.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
182.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
182.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
182.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
182.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
182.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
181.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
181.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
181.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
181.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
181.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
181.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
180.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
180.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
180.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
179.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
179.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
179.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
179.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
178.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
178.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
178.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
178.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
177.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
177.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
177.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
176.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
176.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
176.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
175.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
175.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
175.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
175.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
174.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
174.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
173.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
173.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
172.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
172.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
171.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
171.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
171.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
171.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
171.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
170.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
170.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
170.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
170.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
170.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
169.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
169.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
169.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
169.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
168.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
168.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
168.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
168.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
168.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
167.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
167.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
167.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
167.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
167.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
167.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
167.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
167.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
166.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
166.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
165.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
165.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
165.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
165.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
165.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
164.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
164.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
164.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
164.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
163.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
163.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
163.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
163.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
163.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
163.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
163.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
163.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
162.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
162.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
162.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
162.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
162.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
162.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
162.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
161.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
161.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
161.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
161.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
161.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
159.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
159.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
159.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
159.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
159.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
159.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
158.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
158.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
158.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
158.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
157.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
157.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
156.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
156.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
155.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
155.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
155.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
155.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
155.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
155.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
154.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
154.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
154.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
154.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
153.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
153.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
153.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
153.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
152.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
152.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
152.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
151.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
151.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
151.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
150.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
150.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
149.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
149.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
148.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
147.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
147.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
147.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
147.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
146.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
146.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
144.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
144.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
144.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
142.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
142.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
142.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
142.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
141.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
140.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
140.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
140.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
139.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
139.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
139.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
138.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
138.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
137.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
136.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
136.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
136.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
136.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
136.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
135.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
135.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
135.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
135.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
134.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
134.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
134.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
134.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
133.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
133.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
132.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
132.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
132.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
131.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
131.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
130.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
130.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
130.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
129.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
128.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
128.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
126.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
126.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
125.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
125.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
125.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
125.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
125.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
123.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
123.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
122.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
120.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
119.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
119.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
115.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
112.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
112.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
110.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
107.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
102.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
100.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
93.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.3
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.
CLTC 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
115.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
249.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
228.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
180.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
178.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
176.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
176.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
173.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
165.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
163.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
162.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
161.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
159.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
155.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
146.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
145.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
143.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
142.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
140.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
139.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
138.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
137.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
136.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
136.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
135.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
133.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
133.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
133.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
132.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
132.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
131.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
130.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
129.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
129.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
126.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
125.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
125.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
125.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
124.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
123.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
120.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
119.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
118.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
118.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
117.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
116.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
116.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
115.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
115.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
114.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
114.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
110.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
108.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
108.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
106.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
106.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
104.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
103.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
102.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
102.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
101.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
99.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
99.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
99.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
98.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
97.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
96.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
95.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
92.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
91.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
90.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
87.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
87.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
87.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
79.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
76.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
72.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
67.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
65.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
62.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
61.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
59.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
58.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
55.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
48.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
38.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
17.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
9.8
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.
CLTC 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
171.3
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
333.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
318.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
297.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
287.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
278.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
277.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
266.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
262.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
259.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
247.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
244.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
236.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
236.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
236.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
233.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
232.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
229.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
229.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
225.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
225.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
224.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
224.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
222.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
222.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
221.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
220.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
220.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
218.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
216.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
215.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
214.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
213.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
213.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
212.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
211.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
210.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
208.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
206.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
206.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
205.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
204.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
202.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
202.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
202.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
197.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
197.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
195.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
193.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
193.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
192.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
191.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
191.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
190.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
190.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
190.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
189.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
189.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
188.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
188.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
188.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
187.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
186.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
185.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
185.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
185.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
185.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
183.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
182.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
182.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
181.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
181.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
180.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
180.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
180.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
178.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
177.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
177.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
177.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
177.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
176.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
176.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
175.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
175.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
174.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
174.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
173.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
172.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
172.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
172.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
172.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
171.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
171.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
171.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
170.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
170.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
170.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
170.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
169.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
169.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
168.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
168.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
167.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
167.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
167.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
167.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
166.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
165.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
165.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
164.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
163.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
163.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
163.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
163.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
162.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
162.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
161.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
160.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
160.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
159.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
157.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
157.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
157.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
156.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
156.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
156.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
156.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
156.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
155.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
154.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
153.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
153.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
153.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
152.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
152.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
152.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
152.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
151.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
151.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
151.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
151.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
150.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
150.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
149.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
149.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
148.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
148.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
148.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
147.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
146.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
146.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
146.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
146.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
145.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
144.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
144.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
144.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
144.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
143.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
142.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
141.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
141.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
141.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
141.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
141.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
139.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
139.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
138.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
138.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
138.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
137.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
136.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
136.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
135.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
134.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
134.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
134.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
134.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
132.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
131.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
131.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
131.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
131.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
130.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
130.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
128.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
127.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
125.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
124.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
123.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
121.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
121.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
121.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
119.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
119.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
118.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
117.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
113.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
112.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
109.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
109.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
106.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
105.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
104.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
95.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
93.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
69.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
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Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
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Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
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Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
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Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
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Normal
0.0
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Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
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Tumor
0.0
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Tumor
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Tumor
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Tumor
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Normal
-0.1
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Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
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Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
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Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
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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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_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
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-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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Tumor
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Normal
-0.2
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Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
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Tumor
-0.2
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Tumor
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1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
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Normal
-0.2
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Tumor
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Normal
-0.2
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Tumor
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Tumor
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.3
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Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
