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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.
HM13 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
137.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
343.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
324.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
320.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
319.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
317.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
304.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
303.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
302.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
300.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
291.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
284.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
283.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
282.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
281.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
280.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
270.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
268.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
262.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
258.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
248.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
246.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
236.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
236.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
233.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
233.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
228.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
227.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
226.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
223.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
219.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
218.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
215.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
214.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
214.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
213.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
212.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
210.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
209.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
206.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
206.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
202.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
200.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
200.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
199.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
197.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
192.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
191.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
190.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
190.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
190.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
186.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
182.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
182.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
181.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
179.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
179.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
177.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
175.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
172.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
170.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
169.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
169.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
167.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
166.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
164.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
163.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
162.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
162.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
161.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
161.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
159.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
159.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
158.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
156.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
156.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
155.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
155.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
155.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
154.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
154.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
153.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
152.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
151.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
151.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
150.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
149.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
148.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
148.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
147.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
147.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
147.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
146.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
145.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
145.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
144.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
144.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
144.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
141.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
140.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
138.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
138.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
137.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
136.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
135.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
135.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
135.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
134.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
133.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
132.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
130.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
129.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
128.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
127.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
126.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
125.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
125.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
125.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
124.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
124.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
122.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
122.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
122.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
122.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
122.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
120.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
120.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
120.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
119.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
119.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
119.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
119.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
118.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
118.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
118.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
117.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
117.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
117.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
116.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
116.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
116.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
116.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
115.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
114.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
114.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
113.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
113.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
112.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
112.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
111.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
110.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
110.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
109.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
109.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
109.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
108.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
108.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
108.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
107.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
106.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
106.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
105.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
105.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
105.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
104.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
104.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
104.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
104.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
103.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
102.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
102.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
102.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
102.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
102.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
101.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
101.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
100.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
100.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
100.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
99.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
98.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
97.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
97.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
95.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
95.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
95.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
95.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
94.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
93.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
93.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
91.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
91.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
91.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
90.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
89.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
89.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
88.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
88.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
88.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
88.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
87.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
86.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
86.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
86.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
85.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
85.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
84.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
83.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
82.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
81.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
80.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
79.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
78.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
78.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
78.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
78.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
76.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
75.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
74.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
74.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
74.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
72.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
72.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
72.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
71.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
71.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
71.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
70.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
70.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
70.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
70.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
69.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
68.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
64.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
64.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
62.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
62.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
61.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
59.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
58.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
57.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
56.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
55.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
55.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
55.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
54.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
54.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
53.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
48.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
47.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
47.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
46.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
42.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
29.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
HM13 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
140.2
Number of samples
486
Samples
Sample
Description
TPM
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
349.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
339.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
328.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
316.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
292.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
286.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
284.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
280.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
270.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
266.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
253.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
251.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
240.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
240.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
240.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
235.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
234.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
234.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
231.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
226.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
225.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
224.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
224.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
222.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
222.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
222.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
220.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
220.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
220.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
220.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
218.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
218.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
214.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
213.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
211.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
209.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
208.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
207.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
206.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
205.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
205.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
205.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
204.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
204.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
204.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
202.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
201.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
201.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
200.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
197.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
196.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
196.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
195.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
195.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
194.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
193.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
192.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
192.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
192.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
192.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
191.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
190.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
190.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
189.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
189.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
188.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
188.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
187.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
187.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
186.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
186.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
185.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
184.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
183.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
183.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
183.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
183.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
182.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
181.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
181.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
180.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
179.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
178.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
178.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
178.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
178.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
176.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
176.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
175.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
175.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
175.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
175.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
174.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
174.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
173.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
172.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
171.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
171.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
171.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
171.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
171.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
170.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
170.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
170.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
168.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
168.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
167.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
167.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
167.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
167.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
166.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
165.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
165.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
165.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
163.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
162.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
162.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
162.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
162.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
161.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
161.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
160.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
160.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
159.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
159.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
159.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
159.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
159.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
159.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
158.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
158.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
158.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
158.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
157.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
157.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
157.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
155.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
155.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
155.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
155.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
155.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
154.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
154.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
154.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
153.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
153.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
153.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
153.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
153.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
153.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
152.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
152.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
152.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
152.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
151.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
151.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
151.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
151.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
151.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
151.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
150.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
150.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
150.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
150.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
150.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
149.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
149.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
149.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
149.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
149.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
149.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
148.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
148.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
148.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
148.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
147.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
147.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
147.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
146.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
146.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
146.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
146.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
146.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
146.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
146.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
144.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
143.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
143.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
143.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
143.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
143.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
143.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
142.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
142.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
142.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
142.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
142.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
142.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
141.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
141.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
141.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
141.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
141.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
141.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
141.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
140.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
139.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
139.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
139.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
139.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
139.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
139.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
138.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
138.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
138.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
138.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
138.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
138.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
137.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
137.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
137.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
137.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
137.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
137.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
137.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
137.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
136.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
136.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
136.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
135.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
135.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
135.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
135.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
134.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
134.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
134.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
134.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
134.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
133.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
133.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
133.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
133.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
133.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
133.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
133.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
132.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
132.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
132.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
132.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
131.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
131.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
131.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
130.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
130.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
130.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
130.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
130.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
130.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
130.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
130.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
129.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
129.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
129.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
129.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
129.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
128.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
128.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
128.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
128.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
128.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
127.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
127.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
127.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
127.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
126.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
126.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
126.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
125.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
125.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
124.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
124.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
124.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
124.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
124.5
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
124.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
124.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
124.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
123.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
123.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
123.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
123.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
123.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
123.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
123.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
122.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
122.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
122.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
122.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
122.2
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
122.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
121.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
121.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
121.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
121.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
121.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
120.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
120.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
120.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
120.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
120.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
120.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
120.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
119.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
119.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
119.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
119.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
119.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
119.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
119.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
119.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
119.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
118.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
118.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
118.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
118.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
118.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
118.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
118.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
117.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
117.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
117.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
117.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
117.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
117.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
116.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
116.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
116.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
116.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
116.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
116.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
116.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
115.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
115.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
115.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
115.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
115.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
115.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
115.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
114.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
114.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
114.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
114.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
114.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
113.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
113.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
113.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
113.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
112.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
112.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
112.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
112.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
112.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
112.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
112.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
111.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
111.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
111.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
111.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
111.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
111.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
110.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
110.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
110.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
110.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
110.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
109.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
109.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
109.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
109.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
108.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
107.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
107.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
107.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
107.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
106.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
106.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
106.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
106.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
105.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
105.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
105.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
105.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
105.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
104.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
104.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
104.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
104.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
104.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
103.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
103.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
103.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
103.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
102.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
102.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
102.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
102.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
101.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
101.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
101.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
100.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
100.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
100.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
100.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
99.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
99.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
99.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
98.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
98.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
98.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
97.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
97.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
97.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
97.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
96.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
96.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
96.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
96.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
95.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
95.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
95.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
94.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
94.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
93.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
93.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
91.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
91.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
91.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
90.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
90.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
90.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
89.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
88.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
87.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
87.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
87.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
87.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
87.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
87.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
87.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
86.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
86.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
85.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
85.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
84.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
84.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
83.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
82.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
81.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
81.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
80.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
80.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
79.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
78.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
78.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
78.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
77.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
77.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
77.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
76.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
75.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
74.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
73.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
70.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
68.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
66.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
66.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
65.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
65.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
60.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
60.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
58.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
54.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
52.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
50.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
HM13 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
141.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
280.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
270.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
269.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
244.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
242.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
241.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
235.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
233.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
223.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
218.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
217.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
215.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
212.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
210.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
208.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
207.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
199.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
193.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
188.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
182.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
182.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
182.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
179.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
176.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
175.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
175.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
174.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
172.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
171.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
166.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
166.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
160.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
156.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
154.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
152.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
152.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
149.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
147.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
137.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
137.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
136.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
135.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
133.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
131.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
128.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
128.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
124.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
123.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
122.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
121.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
120.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
120.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
119.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
119.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
118.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
117.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
115.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
114.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
112.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
111.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
108.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
107.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
106.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
106.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
105.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
105.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
104.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
102.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
102.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
99.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
97.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
95.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
94.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
93.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
92.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
89.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
80.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
71.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
68.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
67.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
61.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
59.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
51.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
45.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
43.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
12.3
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.
HM13 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
142.6
Number of samples
207
Samples
Sample
Description
TPM
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
308.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
272.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
246.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
243.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
235.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
233.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
228.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
227.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
224.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
224.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
223.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
217.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
216.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
216.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
215.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
214.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
214.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
214.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
213.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
210.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
206.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
203.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
202.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
201.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
199.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
198.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
197.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
197.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
196.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
193.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
188.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
188.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
187.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
185.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
183.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
181.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
180.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
178.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
178.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
178.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
178.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
175.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
174.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
174.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
173.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
169.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
168.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
166.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
165.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
164.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
164.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
164.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
163.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
163.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
162.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
161.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
161.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
161.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
160.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
160.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
159.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
158.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
157.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
156.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
156.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
156.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
155.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
155.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
154.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
153.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
153.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
152.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
151.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
151.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
150.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
150.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
150.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
147.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
147.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
146.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
146.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
146.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
146.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
145.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
145.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
144.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
143.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
143.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
143.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
142.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
142.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
141.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
141.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
141.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
140.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
140.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
140.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
140.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
139.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
139.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
138.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
138.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
137.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
137.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
136.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
136.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
135.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
134.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
134.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
133.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
133.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
132.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
131.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
130.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
130.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
130.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
129.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
129.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
129.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
128.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
128.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
127.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
127.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
127.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
127.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
126.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
126.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
125.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
125.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
124.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
124.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
123.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
120.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
120.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
120.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
120.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
119.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
119.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
119.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
118.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
118.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
118.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
118.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
118.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
117.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
117.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
117.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
117.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
117.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
116.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
115.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
114.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
114.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
114.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
114.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
113.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
111.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
111.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
110.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
110.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
110.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
110.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
109.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
109.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
109.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
109.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
108.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
107.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
106.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
106.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
105.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
104.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
104.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
104.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
104.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
103.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
103.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
103.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
101.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
101.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
99.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
98.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
97.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
96.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
95.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
94.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
93.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
92.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
89.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
89.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
89.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
88.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
88.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
88.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
86.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
85.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
82.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
82.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
80.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
80.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
79.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
75.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
69.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
68.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
66.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
60.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
55.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
1.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.9
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.8
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.8
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.7
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.8
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.8
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.8
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.8
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.9
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-1.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-1.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.6
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
