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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.
KHSRP 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
99.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
198.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
186.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
180.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
177.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
171.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
171.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
169.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
169.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
169.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
167.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
161.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
159.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
159.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
158.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
158.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
158.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
156.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
154.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
152.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
149.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
147.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
147.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
141.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
139.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
139.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
138.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
138.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
138.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
136.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
136.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
136.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
135.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
134.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
134.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
133.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
133.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
132.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
132.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
132.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
132.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
132.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
131.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
131.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
130.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
130.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
128.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
128.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
127.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
126.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
126.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
125.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
125.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
125.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
124.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
122.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
121.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
121.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
120.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
120.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
119.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
119.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
118.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
118.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
118.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
117.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
117.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
117.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
117.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
116.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
116.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
115.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
115.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
115.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
114.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
114.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
113.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
113.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
113.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
113.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
111.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
111.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
111.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
111.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
111.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
110.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
110.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
109.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
108.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
108.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
108.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
107.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
107.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
107.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
107.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
106.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
105.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
105.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
105.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
104.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
104.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
104.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
103.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
103.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
103.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
102.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
102.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
102.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
101.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
101.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
101.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
100.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
100.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
99.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
99.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
99.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
99.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
99.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
99.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
99.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
98.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
98.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
98.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
98.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
97.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
97.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
97.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
97.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
96.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
96.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
96.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
96.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
95.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
95.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
95.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
95.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
94.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
94.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
93.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
93.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
92.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
92.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
92.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
92.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
92.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
91.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
91.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
91.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
91.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
90.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
89.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
89.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
89.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
89.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
89.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
89.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
88.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
87.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
86.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
86.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
86.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
86.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
86.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
85.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
85.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
85.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
85.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
85.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
85.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
85.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
85.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
84.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
84.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
84.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
83.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
83.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
82.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
82.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
82.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
82.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
81.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
81.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
81.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
81.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
81.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
80.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
80.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
80.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
80.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
79.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
79.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
78.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
78.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
78.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
78.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
78.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
77.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
77.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
76.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
75.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
74.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
74.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
74.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
74.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
73.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
72.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
71.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
71.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
71.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
70.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
70.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
70.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
70.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
69.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
69.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
69.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
69.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
68.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
68.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
67.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
67.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
66.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
66.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
65.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
65.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
65.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
63.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
63.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
63.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
62.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
61.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
61.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
61.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
60.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
60.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
60.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
59.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
58.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
56.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
55.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
55.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
53.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
52.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
51.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
51.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
49.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
49.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
46.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
46.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
43.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
42.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
34.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
31.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
24.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
KHSRP 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
112.0
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
210.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
205.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
197.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
195.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
194.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
194.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
193.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
190.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
180.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
180.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
179.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
179.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
174.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
174.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
172.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
172.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
170.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
169.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
169.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
168.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
165.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
164.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
164.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
164.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
164.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
163.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
162.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
162.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
160.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
160.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
158.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
158.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
158.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
158.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
157.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
157.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
157.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
156.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
156.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
155.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
155.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
155.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
155.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
152.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
151.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
151.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
151.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
151.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
150.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
149.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
149.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
148.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
148.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
147.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
147.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
147.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
147.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
146.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
146.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
146.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
145.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
145.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
145.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
145.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
144.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
144.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
144.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
144.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
144.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
143.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
143.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
143.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
143.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
143.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
143.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
142.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
142.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
142.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
142.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
142.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
141.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
140.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
139.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
139.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
139.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
138.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
138.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
138.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
138.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
137.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
137.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
136.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
136.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
136.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
136.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
136.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
135.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
135.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
135.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
135.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
135.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
134.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
134.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
134.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
134.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
134.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
134.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
134.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
133.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
132.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
131.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
131.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
131.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
131.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
130.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
130.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
130.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
130.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
130.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
129.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
129.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
129.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
129.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
129.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
129.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
129.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
129.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
128.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
128.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
127.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
127.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
127.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
127.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
127.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
127.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
127.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
126.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
126.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
126.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
126.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
126.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
126.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
126.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
126.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
126.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
125.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
125.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
125.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
125.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
125.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
125.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
125.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
124.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
124.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
124.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
124.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
124.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
124.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
123.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
123.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
123.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
122.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
122.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
122.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
122.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
122.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
122.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
122.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
122.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
122.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
121.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
121.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
121.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
121.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
121.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
121.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
120.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
120.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
120.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
119.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
119.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
119.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
119.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
119.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
119.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
119.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
119.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
119.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
118.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
118.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
118.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
118.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
118.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
118.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
117.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
117.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
117.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
117.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
117.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
117.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
116.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
116.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
116.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
116.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
116.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
116.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
116.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
116.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
116.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
115.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
115.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
115.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
115.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
114.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
114.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
114.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
114.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
114.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
114.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
114.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
113.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
113.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
113.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
113.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
113.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
113.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
112.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
112.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
112.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
112.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
112.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
112.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
112.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
111.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
111.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
111.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
110.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
110.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
110.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
110.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
109.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
109.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
109.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
109.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
108.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
108.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
108.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
108.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
108.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
108.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
108.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
108.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
107.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
107.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
107.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
107.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
107.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
107.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
107.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
106.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
106.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
106.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
106.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
106.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
105.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
105.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
105.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
105.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
105.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
105.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
105.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
105.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
105.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
104.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
104.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
104.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
103.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
103.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
103.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
103.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
103.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
103.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
102.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
102.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
102.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
102.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
102.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
102.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
101.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
101.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
101.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
101.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
101.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
101.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
101.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
101.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
101.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
101.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
101.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
100.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
100.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
100.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
100.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
99.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
99.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
99.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
99.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
99.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
99.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
98.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
98.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
98.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
98.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
98.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
98.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
97.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
97.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
97.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
97.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
97.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
97.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
96.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
96.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
96.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
96.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
96.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
96.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
96.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
96.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
95.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
95.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
95.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
95.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
95.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
94.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
94.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
94.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
94.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
94.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
94.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
93.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
93.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
93.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
93.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
93.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
93.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
93.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
93.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
92.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
92.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
92.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
92.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
92.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
91.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
91.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
91.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
91.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
91.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
90.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
90.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
90.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
90.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
90.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
89.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
89.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
89.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
89.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
89.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
89.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
89.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
89.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
89.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
89.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
89.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
89.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
89.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
88.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
88.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
88.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
88.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
88.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
87.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
87.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
87.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
87.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
87.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
87.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
87.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
87.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
86.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
86.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
86.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
86.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
86.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
86.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
86.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
86.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
86.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
86.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
85.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
85.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
85.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
85.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
85.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
85.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
85.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
85.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
84.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
84.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
84.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
84.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
83.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
83.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
83.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
83.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
83.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
83.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
82.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
82.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
82.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
82.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
81.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
81.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
81.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
80.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
80.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
79.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
79.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
79.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
79.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
78.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
78.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
78.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
77.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
77.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
76.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
76.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
76.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
75.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
75.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
75.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
75.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
75.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
75.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
74.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
74.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
74.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
73.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
73.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
72.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
72.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
72.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
71.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
71.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
71.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
71.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
71.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
71.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
71.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
71.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
70.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
70.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
70.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
69.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
69.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
68.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
67.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
67.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
67.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
66.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
65.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
65.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
63.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
62.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
62.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
61.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
61.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
60.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
60.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
56.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
55.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
45.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
KHSRP 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
88.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
157.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
157.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
140.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
139.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
127.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
125.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
125.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
124.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
124.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
124.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
123.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
120.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
119.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
116.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
115.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
112.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
109.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
108.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
108.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
107.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
106.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
105.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
103.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
102.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
101.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
101.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
100.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
99.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
98.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
97.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
97.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
95.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
95.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
94.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
94.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
93.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
92.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
91.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
90.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
90.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
89.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
87.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
87.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
84.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
83.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
83.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
82.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
82.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
82.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
82.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
81.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
81.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
81.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
80.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
80.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
79.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
78.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
77.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
77.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
77.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
75.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
74.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
74.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
73.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
73.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
73.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
70.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
67.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
67.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
66.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
66.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
65.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
65.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
65.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
64.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
61.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
61.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
59.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
58.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
58.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
56.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
54.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
52.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
50.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
47.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
39.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
29.0
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.
KHSRP is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
100.8
Number of samples
207
Samples
Sample
Description
TPM
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
218.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
189.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
172.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
162.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
160.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
158.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
152.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
151.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
150.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
149.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
146.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
146.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
145.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
145.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
145.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
139.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
139.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
139.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
138.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
137.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
137.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
135.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
135.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
135.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
134.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
132.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
131.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
131.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
130.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
128.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
128.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
127.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
126.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
125.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
124.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
124.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
123.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
123.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
123.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
122.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
120.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
120.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
120.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
119.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
119.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
119.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
118.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
117.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
116.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
116.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
116.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
116.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
116.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
116.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
116.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
115.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
115.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
114.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
114.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
114.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
114.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
113.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
112.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
112.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
111.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
110.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
110.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
110.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
110.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
110.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
110.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
110.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
109.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
109.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
109.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
108.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
108.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
107.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
107.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
107.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
105.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
105.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
105.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
105.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
105.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
104.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
104.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
104.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
104.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
104.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
103.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
103.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
103.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
102.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
101.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
101.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
101.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
101.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
100.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
99.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
99.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
99.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
98.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
97.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
97.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
97.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
96.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
96.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
96.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
96.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
96.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
96.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
95.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
95.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
95.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
94.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
93.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
93.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
93.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
93.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
92.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
92.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
91.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
91.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
91.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
91.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
90.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
90.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
90.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
89.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
89.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
89.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
88.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
87.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
87.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
87.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
87.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
87.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
86.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
86.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
86.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
86.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
85.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
85.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
84.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
83.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
83.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
83.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
82.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
82.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
82.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
82.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
82.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
82.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
82.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
82.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
81.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
81.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
81.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
80.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
80.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
79.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
79.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
79.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
78.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
78.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
78.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
78.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
76.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
76.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
76.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
76.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
75.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
75.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
75.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
74.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
74.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
74.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
73.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
72.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
72.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
71.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
71.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
70.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
70.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
70.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
69.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
69.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
68.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
67.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
66.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
65.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
65.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
64.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
64.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
63.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
61.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
61.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
58.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
58.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
58.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
57.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
56.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
53.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
51.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
49.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
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Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
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Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
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Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
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Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
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Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
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Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
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
