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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.
HNRNPH1 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
137.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
299.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
265.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
262.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
240.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
236.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
234.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
223.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
220.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
219.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
219.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
211.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
207.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
205.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
201.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
200.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
197.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
196.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
195.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
195.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
192.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
191.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
191.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
189.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
188.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
188.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
186.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
185.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
184.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
181.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
181.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
180.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
179.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
179.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
178.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
177.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
176.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
175.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
175.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
174.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
174.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
172.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
172.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
172.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
171.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
171.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
171.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
170.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
169.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
169.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
169.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
167.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
167.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
166.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
166.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
165.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
164.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
164.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
163.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
163.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
163.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
162.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
162.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
160.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
159.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
159.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
158.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
158.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
158.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
156.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
156.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
156.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
156.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
155.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
154.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
154.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
154.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
154.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
153.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
153.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
153.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
153.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
152.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
152.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
151.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
151.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
151.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
151.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
150.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
150.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
150.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
150.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
148.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
148.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
148.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
146.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
146.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
146.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
146.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
145.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
145.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
143.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
142.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
142.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
142.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
142.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
142.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
141.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
141.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
141.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
140.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
140.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
139.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
139.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
139.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
136.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
136.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
136.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
135.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
135.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
134.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
134.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
134.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
134.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
133.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
133.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
133.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
132.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
131.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
131.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
131.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
131.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
130.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
130.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
130.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
130.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
129.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
129.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
129.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
129.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
128.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
128.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
127.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
127.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
127.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
127.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
126.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
126.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
126.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
125.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
124.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
124.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
123.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
123.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
122.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
122.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
122.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
122.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
122.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
122.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
121.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
121.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
121.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
121.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
121.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
121.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
121.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
121.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
120.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
120.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
118.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
118.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
118.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
117.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
117.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
117.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
117.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
117.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
116.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
115.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
115.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
114.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
114.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
114.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
114.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
114.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
114.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
113.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
113.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
112.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
112.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
112.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
112.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
112.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
111.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
111.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
111.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
110.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
110.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
110.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
108.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
106.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
106.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
105.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
105.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
104.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
104.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
103.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
103.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
102.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
102.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
102.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
101.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
101.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
100.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
98.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
98.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
97.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
97.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
97.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
96.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
95.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
94.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
94.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
94.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
93.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
92.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
92.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
92.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
92.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
91.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
91.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
87.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
85.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
83.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
82.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
82.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
81.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
80.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
80.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
78.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
78.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
77.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
74.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
72.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
72.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
70.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
70.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
66.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
60.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
58.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
54.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
52.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
46.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
HNRNPH1 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
127.0
Number of samples
486
Samples
Sample
Description
TPM
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
271.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
266.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
248.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
246.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
241.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
240.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
235.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
228.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
225.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
224.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
220.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
220.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
215.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
212.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
210.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
209.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
206.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
204.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
204.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
203.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
201.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
200.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
197.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
197.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
196.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
196.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
195.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
193.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
192.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
191.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
190.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
185.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
185.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
182.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
182.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
182.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
181.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
180.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
179.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
179.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
179.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
176.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
175.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
175.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
175.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
175.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
174.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
174.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
174.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
173.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
173.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
173.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
173.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
173.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
172.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
172.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
172.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
171.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
170.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
170.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
170.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
170.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
170.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
168.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
168.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
168.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
168.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
167.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
167.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
167.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
167.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
166.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
166.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
165.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
165.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
165.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
164.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
164.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
163.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
163.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
163.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
163.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
163.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
163.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
162.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
162.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
162.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
162.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
161.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
161.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
161.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
160.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
160.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
160.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
160.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
160.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
160.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
160.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
159.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
159.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
158.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
158.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
158.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
157.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
157.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
157.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
157.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
156.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
156.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
155.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
155.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
155.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
155.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
155.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
155.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
154.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
154.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
154.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
154.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
153.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
153.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
153.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
152.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
152.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
151.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
151.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
151.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
151.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
150.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
149.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
149.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
149.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
149.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
148.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
148.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
147.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
147.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
146.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
146.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
146.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
145.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
145.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
145.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
145.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
145.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
145.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
144.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
144.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
144.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
144.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
144.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
143.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
143.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
143.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
143.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
143.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
143.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
143.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
143.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
142.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
142.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
142.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
141.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
141.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
141.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
141.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
141.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
141.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
141.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
140.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
140.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
139.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
139.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
139.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
139.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
139.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
139.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
138.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
138.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
138.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
137.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
137.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
137.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
137.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
137.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
137.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
137.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
137.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
137.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
136.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
136.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
136.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
135.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
135.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
135.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
135.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
135.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
135.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
135.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
135.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
135.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
134.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
134.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
134.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
133.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
133.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
133.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
133.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
133.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
132.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
131.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
131.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
131.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
131.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
130.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
130.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
130.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
130.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
130.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
130.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
130.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
129.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
129.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
129.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
128.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
128.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
128.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
127.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
127.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
127.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
127.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
127.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
127.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
127.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
126.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
126.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
126.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
126.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
125.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
125.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
125.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
125.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
125.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
124.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
124.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
124.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
124.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
123.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
123.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
123.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
123.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
122.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
122.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
122.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
121.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
121.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
121.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
121.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
121.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
121.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
120.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
120.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
120.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
120.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
120.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
119.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
119.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
119.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
119.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
119.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
119.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
118.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
118.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
118.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
118.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
118.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
117.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
117.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
116.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
116.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
115.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
115.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
115.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
115.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
115.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
114.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
113.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
112.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
112.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
112.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
112.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
112.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
112.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
112.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
112.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
112.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
112.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
112.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
111.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
110.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
110.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
109.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
109.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
109.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
109.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
109.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
108.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
108.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
108.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
108.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
108.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
108.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
107.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
107.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
107.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
107.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
107.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
106.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
106.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
106.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
106.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
106.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
106.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
106.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
106.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
105.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
105.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
105.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
105.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
105.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
105.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
104.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
104.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
104.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
104.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
104.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
104.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
104.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
103.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
103.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
103.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
103.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
103.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
103.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
103.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
103.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
103.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
103.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
102.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
102.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
102.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
101.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
100.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
100.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
100.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
100.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
100.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
99.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
99.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
99.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
99.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
99.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
99.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
98.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
98.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
98.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
98.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
97.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
97.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
97.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
97.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
96.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
96.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
96.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
96.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
96.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
96.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
95.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
95.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
95.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
95.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
95.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
95.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
94.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
94.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
94.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
94.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
94.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
92.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
92.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
92.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
92.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
91.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
91.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
91.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
91.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
91.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
90.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
90.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
90.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
90.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
89.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
89.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
89.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
88.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
88.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
88.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
87.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
87.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
86.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
86.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
86.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
86.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
86.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
86.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
86.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
85.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
85.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
85.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
84.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
84.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
84.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
84.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
84.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
84.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
82.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
82.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
82.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
82.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
82.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
82.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
81.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
81.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
80.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
80.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
80.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
79.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
79.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
79.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
78.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
78.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
78.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
78.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
78.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
77.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
77.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
76.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
76.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
75.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
75.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
75.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
74.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
74.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
73.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
73.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
73.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
73.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
72.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
72.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
72.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
72.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
71.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
71.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
71.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
71.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
70.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
70.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
68.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
68.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
67.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
67.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
67.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
66.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
64.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
62.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
58.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
52.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
50.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
50.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
49.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
43.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
14.5
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.
HNRNPH1 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
136.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
247.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
235.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
223.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
218.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
201.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
198.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
198.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
194.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
193.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
191.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
190.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
189.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
187.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
187.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
184.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
180.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
179.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
179.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
177.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
175.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
172.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
167.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
167.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
165.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
165.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
163.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
161.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
158.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
158.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
157.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
157.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
155.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
146.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
145.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
144.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
140.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
140.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
139.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
136.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
135.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
134.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
134.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
130.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
130.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
129.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
129.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
129.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
128.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
125.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
122.6
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
122.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
121.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
119.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
119.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
118.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
117.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
115.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
112.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
111.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
111.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
110.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
108.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
108.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
108.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
108.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
106.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
106.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
105.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
104.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
103.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
102.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
102.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
100.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
95.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
94.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
91.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
90.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
89.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
83.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
77.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
76.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
70.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
68.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
67.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
65.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
65.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
54.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 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.
HNRNPH1 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
112.8
Number of samples
207
Samples
Sample
Description
TPM
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
249.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
247.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
217.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
207.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
204.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
202.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
197.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
195.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
194.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
187.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
186.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
180.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
177.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
171.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
171.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
170.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
166.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
163.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
161.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
159.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
156.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
155.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
155.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
154.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
153.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
153.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
151.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
150.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
149.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
148.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
148.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
148.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
148.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
146.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
146.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
144.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
144.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
144.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
141.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
139.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
138.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
137.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
137.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
136.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
136.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
136.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
135.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
135.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
134.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
134.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
134.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
133.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
133.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
133.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
132.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
132.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
132.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
131.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
130.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
129.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
127.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
127.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
126.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
126.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
125.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
125.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
125.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
124.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
124.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
124.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
123.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
123.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
122.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
121.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
121.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
120.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
120.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
119.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
118.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
118.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
118.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
117.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
117.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
116.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
116.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
116.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
115.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
115.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
115.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
115.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
115.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
115.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
114.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
113.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
113.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
113.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
113.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
112.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
112.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
111.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
111.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
110.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
110.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
109.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
109.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
108.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
108.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
107.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
107.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
106.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
106.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
106.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
105.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
105.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
105.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
104.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
103.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
103.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
102.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
101.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
100.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
100.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
100.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
100.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
100.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
100.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
99.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
97.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
97.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
97.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
96.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
95.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
95.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
94.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
94.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
93.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
93.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
93.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
92.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
92.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
92.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
91.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
91.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
90.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
90.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
90.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
88.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
88.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
88.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
87.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
87.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
87.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
87.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
87.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
87.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
86.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
86.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
86.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
85.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
84.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
84.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
84.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
83.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
81.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
81.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
81.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
80.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
80.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
80.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
80.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
80.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
79.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
79.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
78.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
78.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
77.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
76.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
75.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
75.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
74.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
73.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
73.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
73.0
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
72.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
72.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
72.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
71.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
71.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
70.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
69.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
68.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
68.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
67.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
67.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
62.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
62.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
61.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
60.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
60.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
59.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
58.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
56.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
55.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
53.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
46.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
41.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
22.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
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
