We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
RBM8A 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
116.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
236.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
208.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
201.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
199.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
197.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
196.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
193.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
190.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
187.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
186.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
185.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
185.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
182.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
181.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
177.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
174.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
174.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
171.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
170.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
169.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
168.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
167.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
167.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
166.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
165.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
163.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
162.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
162.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
162.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
159.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
158.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
158.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
157.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
152.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
151.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
150.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
150.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
149.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
147.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
147.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
147.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
146.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
145.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
145.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
145.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
145.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
144.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
144.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
144.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
143.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
142.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
141.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
141.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
139.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
138.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
138.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
138.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
137.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
137.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
137.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
136.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
136.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
136.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
136.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
135.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
135.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
134.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
134.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
134.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
133.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
131.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
131.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
131.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
131.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
131.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
130.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
130.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
130.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
129.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
128.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
126.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
125.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
125.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
124.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
123.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
123.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
122.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
122.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
122.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
122.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
121.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
121.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
121.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
120.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
120.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
119.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
119.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
118.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
118.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
118.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
117.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
117.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
117.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
116.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
116.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
115.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
115.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
115.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
114.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
114.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
113.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
113.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
113.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
113.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
112.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
111.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
111.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
111.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
111.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
110.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
110.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
110.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
110.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
110.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
110.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
110.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
110.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
110.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
109.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
109.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
109.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
109.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
108.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
108.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
108.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
108.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
107.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
107.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
107.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
107.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
106.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
106.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
106.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
106.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
106.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
105.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
105.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
105.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
105.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
105.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
104.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
104.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
103.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
103.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
103.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
103.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
103.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
102.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
102.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
101.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
101.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
100.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
100.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
100.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
99.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
99.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
99.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
99.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
98.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
98.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
98.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
98.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
97.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
97.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
97.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
97.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
96.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
96.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
96.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
95.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
95.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
95.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
95.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
95.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
94.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
94.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
94.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
94.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
93.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
93.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
93.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
93.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
92.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
92.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
91.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
91.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
91.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
91.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
90.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
90.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
90.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
90.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
90.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
89.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
88.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
88.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
87.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
86.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
86.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
86.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
85.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
84.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
84.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
84.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
84.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
84.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
84.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
83.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
83.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
83.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
82.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
81.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
81.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
81.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
80.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
80.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
80.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
80.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
80.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
80.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
79.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
79.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
78.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
77.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
76.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
75.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
73.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
73.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
73.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
72.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
72.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
70.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
70.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
70.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
69.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
69.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
69.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
68.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
68.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
68.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
68.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
67.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 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.
RBM8A 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
82.6
Number of samples
486
Samples
Sample
Description
TPM
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
176.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
161.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
151.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
147.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
143.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
142.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
139.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
135.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
133.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
133.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
132.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
131.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
131.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
129.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
127.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
126.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
125.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
125.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
125.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
125.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
124.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
123.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
121.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
120.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
120.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
120.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
120.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
120.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
119.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
118.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
118.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
117.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
117.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
116.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
115.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
115.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
114.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
114.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
113.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
113.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
113.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
113.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
113.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
112.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
112.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
112.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
112.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
112.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
112.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
112.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
111.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
111.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
111.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
110.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
109.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
109.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
109.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
108.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
107.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
107.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
106.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
106.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
106.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
106.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
106.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
105.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
105.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
105.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
105.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
105.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
104.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
104.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
104.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
104.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
104.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
103.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
103.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
103.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
103.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
103.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
102.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
102.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
102.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
102.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
102.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
102.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
102.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
102.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
101.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
101.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
101.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
101.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
100.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
100.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
100.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
100.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
100.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
100.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
99.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
99.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
99.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
99.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
98.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
98.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
98.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
98.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
97.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
97.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
97.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
97.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
96.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
96.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
95.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
95.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
95.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
95.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
95.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
95.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
95.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
95.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
95.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
95.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
95.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
95.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
95.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
95.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
95.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
94.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
94.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
94.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
94.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
93.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
93.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
93.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
93.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
93.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
93.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
93.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
93.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
93.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
92.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
92.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
92.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
92.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
92.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
92.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
91.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
91.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
91.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
91.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
91.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
90.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
90.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
90.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
90.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
90.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
90.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
90.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
90.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
89.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
89.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
89.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
89.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
89.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
88.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
88.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
88.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
88.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
88.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
88.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
88.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
88.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
87.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
87.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
87.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
87.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
87.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
86.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
86.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
86.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
86.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
86.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
86.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
86.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
86.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
86.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
86.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
86.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
86.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
86.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
86.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
86.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
85.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
85.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
85.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
85.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
85.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
85.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
85.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
85.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
85.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
85.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
84.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
84.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
84.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
84.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
84.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
84.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
84.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
84.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
84.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
83.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
83.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
83.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
83.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
83.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
83.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
83.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
82.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
82.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
82.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
82.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
82.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
82.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
82.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
81.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
81.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
81.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
81.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
81.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
81.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
81.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
81.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
81.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
81.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
81.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
81.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
81.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
80.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
80.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
80.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
80.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
80.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
80.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
80.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
79.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
79.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
79.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
79.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
79.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
79.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
79.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
79.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
78.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
78.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
78.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
78.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
78.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
78.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
78.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
78.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
78.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
78.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
78.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
78.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
77.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
77.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
77.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
77.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
77.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
77.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
77.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
77.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
77.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
77.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
77.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
76.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
76.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
76.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
76.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
76.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
76.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
75.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
75.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
75.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
75.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
75.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
75.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
75.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
75.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
75.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
74.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
74.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
74.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
74.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
74.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
74.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
74.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
74.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
73.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
73.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
73.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
73.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
73.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
73.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
73.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
72.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
72.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
72.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
72.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
72.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
72.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
72.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
72.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
72.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
72.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
72.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
72.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
72.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
72.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
72.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
72.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
72.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
72.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
72.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
71.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
71.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
71.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
71.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
71.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
71.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
71.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
71.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
71.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
71.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
70.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
70.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
70.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
70.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
70.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
70.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
70.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
70.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
70.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
70.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
70.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
70.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
70.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
69.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
69.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
69.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
69.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
69.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
69.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
68.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
68.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
68.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
68.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
68.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
68.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
68.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
68.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
67.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
67.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
67.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
67.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
67.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
67.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
66.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
66.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
66.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
66.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
66.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
66.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
66.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
66.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
66.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
66.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
66.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
66.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
66.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
65.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
65.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
65.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
65.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
65.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
65.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
65.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
65.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
65.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
65.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
64.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
64.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
64.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
64.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
64.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
64.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
63.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
63.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
63.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
63.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
63.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
63.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
63.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
63.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
63.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
63.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
63.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
62.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
62.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
62.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
62.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
62.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
62.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
62.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
61.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
61.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
61.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
61.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
61.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
61.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
61.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
60.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
60.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
60.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
60.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
60.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
59.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
59.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
59.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
58.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
58.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
58.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
58.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
58.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
57.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
57.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
57.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
57.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
57.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
57.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
57.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
57.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
57.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
56.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
55.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
55.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
55.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
55.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
54.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
54.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
54.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
53.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
53.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
53.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
53.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
53.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
53.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
52.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
52.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
52.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
51.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
51.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
51.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
50.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
50.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
50.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
50.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
49.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
49.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
48.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
48.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
47.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
47.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
46.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
46.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
44.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
41.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
40.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.1
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.
RBM8A 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
118.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
256.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
226.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
215.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
189.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
186.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
176.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
175.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
175.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
169.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
165.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
165.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
159.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
154.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
154.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
151.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
147.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
145.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
143.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
143.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
142.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
142.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
140.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
140.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
139.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
138.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
137.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
137.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
136.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
131.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
128.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
128.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
127.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
126.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
125.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
122.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
121.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
120.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
120.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
119.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
119.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
119.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
118.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
118.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
115.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
114.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
114.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
114.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
113.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
113.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
113.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
112.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
111.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
110.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
108.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
107.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
107.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
104.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
102.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
102.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
99.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
98.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
93.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
93.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
92.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
91.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
89.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
87.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
87.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
85.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
83.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
83.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
82.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
80.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
80.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
79.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
77.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
73.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
73.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
72.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
71.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
70.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
70.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
70.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
70.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
65.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
58.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
55.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
RBM8A 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
73.9
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
138.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
133.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
121.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
118.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
117.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
117.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
114.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
113.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
113.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
112.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
112.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
108.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
108.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
103.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
101.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
100.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
100.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
100.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
99.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
99.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
96.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
96.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
96.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
95.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
94.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
94.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
94.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
94.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
94.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
93.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
92.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
92.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
92.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
91.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
91.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
90.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
90.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
90.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
88.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
88.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
88.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
88.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
87.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
87.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
87.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
86.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
86.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
86.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
85.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
85.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
85.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
85.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
85.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
84.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
84.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
84.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
84.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
83.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
83.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
82.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
82.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
82.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
82.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
81.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
81.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
81.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
81.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
81.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
81.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
80.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
80.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
80.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
79.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
78.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
78.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
78.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
77.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
77.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
77.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
77.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
76.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
76.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
76.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
76.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
76.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
75.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
75.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
75.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
75.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
75.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
75.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
75.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
74.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
74.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
74.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
74.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
74.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
74.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
73.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
73.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
73.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
73.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
73.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
72.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
71.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
71.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
71.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
71.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
71.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
70.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
70.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
70.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
70.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
69.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
69.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
69.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
69.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
69.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
68.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
68.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
68.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
67.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
67.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
66.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
66.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
66.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
66.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
66.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
66.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
66.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
65.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
65.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
65.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
65.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
64.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
64.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
64.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
64.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
64.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
64.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
64.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
63.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
63.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
63.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
63.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
62.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
62.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
62.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
62.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
62.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
61.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
61.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
61.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
61.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
60.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
60.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
60.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
60.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
60.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
60.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
60.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
60.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
59.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
59.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
59.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
59.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
59.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
58.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
58.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
58.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
58.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
58.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
57.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
56.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
55.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
55.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
55.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
53.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
53.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
53.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
53.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
53.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
52.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
51.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
51.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
51.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
51.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
51.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
51.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
51.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
50.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
50.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
50.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
50.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
49.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
49.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
44.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
43.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
42.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
39.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
35.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
