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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.
TSPAN13 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
84.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
297.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
281.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
253.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
241.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
232.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
229.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
227.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
220.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
212.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
207.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
204.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
203.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
203.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
198.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
188.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
180.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
176.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
175.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
174.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
173.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
168.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
164.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
164.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
163.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
163.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
156.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
153.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
153.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
152.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
152.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
152.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
149.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
148.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
147.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
146.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
141.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
140.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
138.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
137.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
134.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
131.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
128.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
125.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
125.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
124.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
124.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
124.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
123.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
123.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
122.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
122.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
120.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
120.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
120.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
119.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
119.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
118.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
118.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
117.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
113.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
112.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
108.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
108.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
108.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
108.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
107.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
106.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
105.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
104.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
104.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
104.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
103.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
102.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
101.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
98.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
98.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
97.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
97.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
95.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
91.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
91.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
90.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
90.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
90.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
89.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
88.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
88.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
87.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
87.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
87.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
86.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
85.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
84.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
84.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
84.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
83.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
83.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
82.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
81.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
81.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
80.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
79.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
79.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
78.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
77.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
77.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
76.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
76.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
76.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
76.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
76.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
76.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
75.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
75.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
75.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
75.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
75.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
75.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
73.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
73.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
73.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
72.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
71.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
70.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
70.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
70.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
69.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
69.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
69.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
68.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
68.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
68.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
67.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
67.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
67.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
66.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
66.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
66.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
65.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
65.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
65.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
64.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
64.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
64.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
63.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
62.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
62.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
62.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
62.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
62.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
61.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
61.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
61.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
61.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
60.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
60.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
60.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
59.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
59.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
58.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
58.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
58.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
58.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
58.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
58.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
58.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
58.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
57.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
57.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
57.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
57.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
57.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
57.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
56.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
56.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
55.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
54.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
54.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
54.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
54.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
52.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
52.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
52.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
51.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
51.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
51.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
51.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
51.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
50.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
49.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
49.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
48.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
48.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
48.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
47.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
46.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
46.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
46.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
45.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
45.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
45.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
43.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
42.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
42.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
42.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
41.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
41.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
39.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
39.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
39.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
39.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
38.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
38.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
38.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
38.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
37.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
36.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
35.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
34.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
33.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
33.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
33.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
32.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
32.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
32.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
31.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
31.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
31.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
31.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
30.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
30.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
30.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
29.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
29.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
28.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
28.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
28.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
26.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
25.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
24.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
22.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
22.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
22.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
21.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
15.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
15.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
15.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
15.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
14.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 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.
TSPAN13 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
41.8
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
226.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
159.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
157.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
153.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
150.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
149.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
149.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
148.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
134.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
127.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
121.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
119.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
117.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
115.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
109.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
109.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
107.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
104.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
103.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
98.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
98.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
97.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
96.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
93.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
93.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
91.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
88.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
88.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
88.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
87.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
85.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
85.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
85.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
83.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
83.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
82.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
82.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
81.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
81.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
78.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
78.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
78.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
77.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
77.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
76.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
75.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
74.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
74.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
73.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
72.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
72.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
72.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
72.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
71.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
71.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
69.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
69.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
68.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
68.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
66.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
65.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
64.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
64.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
64.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
63.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
63.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
63.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
63.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
62.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
62.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
62.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
62.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
62.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
62.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
61.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
61.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
61.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
61.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
60.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
59.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
59.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
59.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
59.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
59.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
59.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
57.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
57.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
57.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
57.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
57.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
57.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
56.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
56.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
56.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
56.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
55.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
55.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
55.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
55.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
55.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
55.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
55.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
55.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
55.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
55.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
54.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
54.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
54.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
53.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
53.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
53.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
53.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
53.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
52.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
52.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
51.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
51.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
51.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
51.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
51.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
51.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
51.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
50.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
50.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
50.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
49.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
49.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
49.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
49.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
48.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
48.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
48.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
48.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
48.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
47.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
47.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
47.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
46.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
46.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
46.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
46.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
46.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
46.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
46.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
46.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
46.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
46.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
46.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
46.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
46.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
45.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
45.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
45.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
45.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
45.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
45.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
45.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
45.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
44.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
44.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
44.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
44.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
44.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
44.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
44.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
44.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
43.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
43.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
43.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
42.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
42.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
42.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
42.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
42.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
42.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
42.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
41.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
41.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
41.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
41.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
40.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
40.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
40.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
40.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
40.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
39.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
39.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
39.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
39.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
38.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
38.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
38.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
38.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
38.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
38.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
38.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
37.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
37.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
37.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
37.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
37.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
36.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
36.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
36.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
36.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
36.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
36.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
36.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
36.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
36.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
36.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
35.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
35.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
35.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
35.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
35.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
35.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
35.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
35.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
35.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
35.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
35.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
34.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
34.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
34.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
34.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
34.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
34.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
33.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
33.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
33.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
33.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
33.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
33.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
33.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
33.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
33.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
33.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
33.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
32.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
32.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
32.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
32.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
32.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
32.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
32.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
32.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
32.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
32.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
32.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
32.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
31.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
31.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
31.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
31.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
31.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
31.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
31.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
30.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
30.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
30.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
30.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
30.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
30.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
30.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
30.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
30.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
30.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
30.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
30.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
29.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
29.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
29.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
29.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
29.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
29.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
29.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
29.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
29.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
29.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
29.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
29.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
29.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
29.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
28.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
28.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
28.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
28.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
28.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
28.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
28.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
28.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
28.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
28.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
28.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
28.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
27.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
27.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
27.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
27.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
27.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
27.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
27.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
27.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
27.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
27.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
27.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
27.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
26.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
26.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
26.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
25.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
25.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
25.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
25.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
25.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
25.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
25.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
25.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
25.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
25.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
24.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
24.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
24.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
24.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
24.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
24.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
23.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
23.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
23.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
23.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
23.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
23.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
23.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
23.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
23.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
22.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
22.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
22.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
22.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
22.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
22.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
22.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
22.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
22.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
21.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
21.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
21.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
21.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
21.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
21.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
21.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
21.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
21.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
21.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
21.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
21.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
21.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
20.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
20.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
20.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
20.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
20.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
20.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
20.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
20.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
20.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
20.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
19.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
19.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
19.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
19.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
19.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
19.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
18.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
18.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
18.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
18.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
18.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
17.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
17.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
17.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
17.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
17.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
17.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
17.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
17.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
16.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
16.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
16.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
16.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
16.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
16.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
16.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
16.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
16.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
16.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
16.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
16.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
16.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
15.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
15.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
15.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
15.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
15.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
15.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
15.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
15.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
14.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
14.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
14.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
14.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
14.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
14.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
13.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
13.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
13.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
13.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
12.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
12.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
12.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
12.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
12.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
12.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
12.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
12.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
11.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
11.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
11.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
11.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
10.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
10.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
10.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
9.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
9.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
9.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
9.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
8.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
8.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
6.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
5.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
4.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
4.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
3.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
2.3
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.
TSPAN13 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
75.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
292.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
273.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
253.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
168.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
166.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
151.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
144.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
141.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
125.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
123.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
121.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
118.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
115.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
112.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
112.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
108.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
101.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
100.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
100.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
98.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
97.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
95.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
94.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
93.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
91.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
91.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
84.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
82.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
82.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
82.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
80.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
77.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
77.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
77.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
74.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
74.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
72.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
71.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
70.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
68.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
68.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
66.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
66.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
65.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
64.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
63.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
62.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
60.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
57.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
57.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
56.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
55.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
55.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
54.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
54.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
53.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
53.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
52.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
51.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
50.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
49.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
48.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
48.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
47.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
47.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
46.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
41.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
41.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
40.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
38.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
37.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
35.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
33.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
33.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
32.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
31.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
30.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
30.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
27.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
25.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
23.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
23.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
22.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
22.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
22.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
22.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
18.6
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.
TSPAN13 is potential prognostic, high expression is unfavorable 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
35.8
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
168.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
159.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
155.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
123.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
106.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
96.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
96.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
90.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
86.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
85.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
83.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
80.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
78.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
76.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
71.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
68.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
68.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
65.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
65.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
64.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
63.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
61.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
61.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
58.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
58.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
57.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
57.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
56.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
53.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
52.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
52.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
51.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
51.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
51.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
50.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
50.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
49.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
48.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
48.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
48.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
47.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
46.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
46.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
46.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
46.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
44.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
43.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
42.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
42.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
42.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
41.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
41.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
41.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
41.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
41.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
40.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
40.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
40.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
40.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
38.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
38.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
38.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
38.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
37.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
37.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
37.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
37.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
36.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
36.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
36.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
36.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
35.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
34.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
33.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
33.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
33.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
33.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
32.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
32.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
32.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
32.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
32.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
32.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
31.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
30.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
30.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
30.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
30.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
29.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
28.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
28.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
28.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
28.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
28.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
28.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
27.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
27.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
27.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
26.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
26.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
26.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
26.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
26.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
26.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
26.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
26.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
25.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
25.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
25.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
25.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
25.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
25.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
25.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
25.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
24.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
24.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
24.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
24.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
23.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
23.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
23.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
23.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
23.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
23.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
23.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
23.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
22.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
22.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
22.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
22.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
22.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
22.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
21.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
21.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
21.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
21.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
21.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
21.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
20.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
20.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
20.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
20.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
19.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
19.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
18.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
18.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
18.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
18.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
18.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
18.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
18.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
17.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
17.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
17.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
17.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
17.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
16.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
16.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
16.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
16.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
16.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
16.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
15.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
15.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
15.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
15.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
14.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
14.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
14.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
14.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
13.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
13.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
12.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
12.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
11.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
11.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
11.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
9.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
9.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
9.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
8.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
8.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
8.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
6.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
6.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
5.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
4.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
4.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
1.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
1.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
1.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
1.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
1.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
1.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.8
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.8
43192517-085e-450e-9481-0a6713_D3
Tumor
0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.6
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.6
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.7
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.8
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.8
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.9
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.9
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.9
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-1.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-1.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
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
