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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SEPTIN9 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
124.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
298.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
259.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
231.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
224.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
223.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
196.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
194.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
191.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
188.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
188.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
185.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
185.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
183.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
182.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
180.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
180.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
179.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
178.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
178.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
177.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
177.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
172.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
171.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
169.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
168.7
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
168.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
168.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
167.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
167.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
167.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
166.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
164.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
164.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
162.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
162.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
162.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
161.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
161.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
161.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
160.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
160.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
159.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
156.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
155.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
155.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
155.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
154.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
154.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
154.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
154.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
154.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
154.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
153.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
153.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
152.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
151.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
150.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
150.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
150.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
150.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
148.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
148.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
147.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
147.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
147.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
147.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
146.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
145.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
144.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
144.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
143.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
142.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
141.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
141.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
141.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
140.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
140.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
140.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
139.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
139.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
138.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
137.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
137.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
137.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
137.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
136.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
136.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
136.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
136.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
136.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
136.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
134.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
134.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
134.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
134.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
134.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
133.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
132.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
132.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
132.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
131.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
131.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
131.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
131.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
131.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
131.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
131.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
130.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
130.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
129.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
129.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
128.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
127.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
127.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
125.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
125.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
124.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
124.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
124.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
124.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
124.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
123.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
123.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
123.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
123.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
123.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
122.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
122.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
122.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
121.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
121.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
121.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
121.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
120.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
120.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
119.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
119.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
119.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
118.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
118.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
117.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
117.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
117.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
116.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
116.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
115.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
114.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
114.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
114.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
114.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
114.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
113.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
112.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
112.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
112.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
111.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
111.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
110.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
110.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
110.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
110.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
110.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
109.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
109.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
109.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
108.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
108.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
108.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
107.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
106.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
106.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
106.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
106.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
105.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
105.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
105.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
104.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
104.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
103.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
103.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
102.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
102.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
102.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
102.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
102.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
101.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
101.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
100.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
100.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
100.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
99.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
99.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
97.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
97.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
97.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
97.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
96.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
96.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
95.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
95.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
95.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
95.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
94.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
94.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
93.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
92.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
92.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
92.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
91.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
89.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
89.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
89.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
87.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
87.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
86.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
84.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
84.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
82.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
82.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
82.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
82.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
82.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
82.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
82.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
81.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
81.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
80.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
80.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
79.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
79.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
78.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
74.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
71.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
69.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
69.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
68.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
67.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
67.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
66.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
66.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
64.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
64.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
63.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
63.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
62.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
61.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
59.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
58.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
57.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
54.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
53.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
51.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SEPTIN9 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
173.1
Number of samples
486
Samples
Sample
Description
TPM
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
346.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
337.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
336.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
320.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
306.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
289.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
282.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
272.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
270.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
269.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
266.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
266.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
263.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
262.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
256.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
255.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
254.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
246.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
244.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
243.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
242.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
242.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
239.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
239.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
238.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
235.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
234.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
234.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
233.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
233.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
233.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
232.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
232.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
231.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
231.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
231.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
230.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
230.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
230.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
228.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
228.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
227.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
225.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
224.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
222.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
221.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
221.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
221.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
220.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
219.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
219.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
219.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
219.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
219.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
218.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
218.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
217.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
217.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
217.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
217.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
216.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
216.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
214.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
214.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
214.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
213.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
212.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
212.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
211.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
210.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
210.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
210.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
209.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
209.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
208.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
208.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
208.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
206.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
205.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
205.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
205.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
204.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
204.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
204.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
204.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
204.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
204.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
203.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
203.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
203.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
202.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
202.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
202.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
201.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
200.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
200.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
200.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
199.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
198.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
198.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
198.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
198.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
198.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
197.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
197.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
197.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
197.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
197.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
197.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
197.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
196.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
196.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
195.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
195.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
195.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
195.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
194.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
194.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
194.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
194.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
193.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
193.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
193.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
193.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
193.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
192.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
192.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
192.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
192.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
191.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
191.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
191.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
190.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
190.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
190.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
190.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
190.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
190.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
190.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
190.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
189.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
189.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
189.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
189.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
188.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
188.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
188.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
188.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
187.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
187.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
187.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
187.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
186.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
186.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
186.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
185.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
185.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
185.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
185.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
185.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
184.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
184.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
184.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
183.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
183.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
183.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
183.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
182.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
182.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
182.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
182.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
182.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
182.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
182.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
182.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
182.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
181.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
181.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
181.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
181.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
181.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
181.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
181.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
180.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
180.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
180.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
180.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
179.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
179.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
179.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
179.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
179.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
179.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
178.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
178.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
178.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
177.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
177.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
177.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
177.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
177.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
177.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
176.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
176.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
176.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
176.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
176.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
176.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
176.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
175.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
174.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
174.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
174.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
174.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
174.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
174.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
174.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
174.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
174.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
173.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
173.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
173.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
173.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
172.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
172.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
172.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
172.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
172.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
171.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
171.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
171.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
171.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
171.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
171.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
171.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
171.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
171.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
171.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
170.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
170.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
170.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
170.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
169.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
169.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
169.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
169.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
169.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
168.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
168.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
168.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
168.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
168.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
168.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
168.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
167.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
167.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
167.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
167.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
167.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
167.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
167.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
167.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
166.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
166.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
166.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
166.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
166.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
166.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
166.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
166.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
165.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
165.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
164.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
164.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
164.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
164.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
163.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
163.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
163.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
162.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
162.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
162.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
162.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
162.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
162.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
162.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
161.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
161.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
161.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
161.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
161.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
161.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
161.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
161.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
161.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
161.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
161.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
160.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
160.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
160.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
160.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
160.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
160.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
160.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
159.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
159.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
159.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
159.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
159.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
159.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
158.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
158.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
158.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
158.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
158.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
158.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
157.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
157.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
157.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
157.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
157.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
157.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
157.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
157.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
156.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
156.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
156.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
156.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
155.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
155.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
155.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
154.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
154.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
154.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
154.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
154.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
154.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
153.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
153.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
153.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
153.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
153.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
153.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
153.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
152.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
152.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
152.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
152.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
151.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
151.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
151.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
151.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
151.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
151.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
151.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
151.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
151.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
151.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
150.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
150.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
150.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
150.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
149.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
149.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
149.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
148.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
148.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
148.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
148.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
148.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
147.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
147.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
146.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
145.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
145.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
145.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
145.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
145.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
144.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
144.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
143.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
143.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
143.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
143.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
143.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
143.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
142.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
142.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
142.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
142.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
142.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
141.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
141.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
141.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
141.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
141.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
141.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
141.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
140.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
140.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
140.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
140.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
139.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
139.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
138.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
138.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
138.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
137.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
137.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
137.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
136.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
136.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
135.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
135.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
135.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
135.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
135.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
133.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
133.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
133.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
133.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
133.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
132.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
132.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
132.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
131.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
131.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
131.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
131.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
131.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
130.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
130.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
130.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
130.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
130.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
130.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
130.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
129.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
129.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
128.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
128.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
128.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
127.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
127.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
127.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
127.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
127.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
126.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
126.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
125.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
125.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
125.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
124.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
124.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
124.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
123.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
123.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
123.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
122.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
121.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
120.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
120.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
119.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
118.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
117.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
115.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
115.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
113.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
111.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
111.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
110.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
107.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
106.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
105.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
104.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
103.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
100.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
100.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
100.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
98.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
98.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
97.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
96.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
95.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.1
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.
SEPTIN9 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
115.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
251.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
206.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
204.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
201.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
174.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
173.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
169.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
163.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
158.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
152.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
145.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
145.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
144.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
141.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
141.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
141.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
139.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
138.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
137.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
134.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
134.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
133.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
132.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
132.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
129.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
129.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
129.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
128.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
128.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
127.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
127.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
126.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
126.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
124.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
123.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
123.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
122.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
122.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
122.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
122.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
121.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
121.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
120.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
120.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
116.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
115.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
115.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
115.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
113.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
112.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
112.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
111.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
111.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
107.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
105.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
105.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
105.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
104.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
97.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
97.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
97.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
96.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
96.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
96.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
95.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
94.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
94.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
91.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
89.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
82.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
82.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
82.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
81.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
80.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
77.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
76.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
76.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
75.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
74.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
73.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
72.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
67.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
66.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
60.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
50.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
48.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
41.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SEPTIN9 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
167.0
Number of samples
207
Samples
Sample
Description
TPM
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
475.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
283.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
279.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
265.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
264.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
255.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
251.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
245.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
244.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
243.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
243.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
241.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
241.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
238.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
231.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
230.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
230.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
229.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
227.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
227.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
221.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
218.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
216.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
215.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
214.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
212.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
209.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
209.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
206.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
206.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
204.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
204.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
204.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
203.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
201.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
200.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
200.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
200.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
200.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
197.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
196.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
195.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
194.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
194.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
192.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
192.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
191.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
191.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
190.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
190.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
190.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
189.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
189.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
189.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
188.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
187.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
187.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
186.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
186.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
183.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
183.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
183.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
182.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
181.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
181.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
181.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
180.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
180.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
180.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
179.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
178.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
178.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
175.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
175.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
174.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
174.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
173.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
173.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
172.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
172.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
170.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
169.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
169.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
168.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
168.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
168.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
167.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
167.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
166.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
166.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
165.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
165.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
165.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
165.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
165.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
164.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
163.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
163.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
162.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
162.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
161.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
160.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
160.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
160.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
160.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
160.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
159.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
159.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
159.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
158.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
158.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
157.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
157.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
157.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
156.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
156.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
156.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
155.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
154.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
154.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
153.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
152.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
152.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
152.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
151.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
151.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
151.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
150.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
150.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
150.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
150.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
148.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
148.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
148.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
148.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
146.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
146.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
145.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
145.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
145.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
144.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
143.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
143.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
143.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
143.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
143.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
142.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
142.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
142.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
141.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
141.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
140.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
139.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
138.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
138.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
137.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
137.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
137.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
135.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
135.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
134.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
134.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
133.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
133.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
132.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
132.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
132.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
132.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
132.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
132.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
131.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
131.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
131.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
130.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
129.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
128.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
128.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
128.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
127.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
127.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
127.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
126.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
125.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
124.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
124.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
124.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
123.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
123.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
122.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
122.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
121.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
121.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
120.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
118.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
115.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
114.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
113.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
113.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
113.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
111.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
105.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
104.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
102.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
98.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
92.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
63.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
27.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
