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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.
EIF3E 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
235.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1114.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
871.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
662.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
648.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
625.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
597.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
594.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
562.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
536.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
521.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
520.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
505.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
501.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
493.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
490.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
465.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
465.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
462.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
454.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
452.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
446.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
446.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
438.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
407.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
405.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
402.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
398.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
394.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
394.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
387.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
385.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
383.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
376.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
375.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
372.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
369.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
365.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
364.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
358.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
350.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
349.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
338.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
329.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
329.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
323.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
321.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
319.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
319.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
318.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
316.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
316.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
312.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
311.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
309.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
309.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
309.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
307.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
307.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
305.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
305.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
302.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
301.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
300.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
300.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
295.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
293.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
290.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
289.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
289.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
289.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
286.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
280.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
275.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
272.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
269.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
266.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
263.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
262.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
260.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
256.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
255.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
255.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
254.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
254.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
247.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
245.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
244.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
244.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
242.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
241.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
241.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
240.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
239.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
236.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
235.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
233.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
232.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
232.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
229.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
228.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
228.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
225.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
224.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
223.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
220.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
220.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
219.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
218.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
218.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
217.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
217.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
216.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
216.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
215.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
215.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
214.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
213.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
213.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
211.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
210.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
209.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
208.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
206.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
206.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
204.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
201.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
201.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
200.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
200.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
197.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
196.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
196.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
195.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
191.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
190.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
190.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
190.2
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
189.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
188.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
188.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
188.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
188.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
188.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
187.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
187.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
186.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
185.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
181.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
181.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
179.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
179.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
179.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
178.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
174.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
173.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
173.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
172.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
171.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
169.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
169.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
167.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
167.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
166.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
165.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
165.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
164.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
164.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
160.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
159.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
158.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
157.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
157.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
155.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
154.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
153.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
153.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
153.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
152.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
152.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
150.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
150.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
150.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
150.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
149.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
149.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
148.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
148.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
148.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
147.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
145.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
145.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
145.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
144.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
144.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
143.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
142.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
141.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
141.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
140.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
140.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
139.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
139.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
138.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
138.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
136.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
130.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
130.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
129.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
127.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
126.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
125.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
124.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
122.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
118.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
117.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
117.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
116.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
115.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
115.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
111.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
107.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
107.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
106.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
105.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
102.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
101.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
100.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
99.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
97.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
97.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
97.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
95.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
95.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
95.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
95.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
95.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
94.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
91.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
91.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
89.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
88.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
87.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
87.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
83.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
83.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
81.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
79.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
77.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
73.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
62.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
60.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
59.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 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.
EIF3E 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
116.4
Number of samples
486
Samples
Sample
Description
TPM
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
402.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
307.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
295.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
288.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
283.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
275.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
272.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
271.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
267.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
259.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
254.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
253.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
244.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
242.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
241.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
237.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
234.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
233.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
226.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
226.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
223.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
219.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
217.6
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
217.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
216.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
213.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
212.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
211.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
208.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
207.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
205.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
205.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
199.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
195.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
194.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
194.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
193.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
193.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
190.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
188.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
188.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
188.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
185.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
184.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
183.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
182.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
180.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
178.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
176.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
176.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
173.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
172.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
170.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
170.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
170.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
169.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
168.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
168.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
167.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
167.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
166.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
166.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
163.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
162.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
162.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
161.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
161.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
158.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
158.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
157.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
157.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
157.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
156.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
156.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
155.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
155.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
155.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
154.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
154.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
154.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
154.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
154.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
153.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
153.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
152.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
151.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
151.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
151.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
150.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
148.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
148.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
148.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
147.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
147.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
147.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
146.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
145.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
145.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
145.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
145.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
144.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
144.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
144.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
143.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
143.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
143.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
143.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
143.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
143.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
143.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
143.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
142.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
142.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
142.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
141.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
141.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
140.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
140.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
139.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
139.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
139.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
139.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
139.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
138.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
138.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
137.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
137.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
136.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
136.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
136.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
135.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
135.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
134.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
134.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
134.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
134.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
133.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
133.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
133.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
133.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
133.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
132.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
132.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
132.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
131.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
131.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
131.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
131.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
130.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
130.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
129.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
129.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
129.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
128.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
128.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
128.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
128.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
128.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
127.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
127.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
126.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
126.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
126.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
126.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
126.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
126.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
126.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
125.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
124.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
124.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
124.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
124.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
124.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
123.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
123.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
123.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
123.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
122.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
122.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
121.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
121.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
120.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
120.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
120.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
120.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
120.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
119.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
119.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
119.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
119.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
118.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
118.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
118.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
118.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
117.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
117.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
117.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
117.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
117.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
116.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
116.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
116.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
116.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
116.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
116.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
116.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
115.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
115.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
115.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
114.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
114.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
114.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
114.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
113.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
113.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
113.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
113.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
113.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
113.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
112.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
112.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
112.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
112.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
111.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
111.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
111.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
111.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
110.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
110.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
110.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
110.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
110.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
110.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
109.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
109.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
109.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
108.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
108.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
108.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
108.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
107.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
107.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
107.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
106.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
106.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
106.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
106.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
106.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
105.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
105.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
105.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
105.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
105.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
105.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
104.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
104.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
104.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
104.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
104.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
103.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
103.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
103.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
103.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
102.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
102.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
102.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
101.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
101.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
100.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
100.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
100.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
100.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
100.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
100.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
99.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
99.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
99.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
99.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
99.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
99.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
99.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
98.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
98.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
98.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
98.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
98.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
98.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
98.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
98.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
97.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
97.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
96.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
96.6
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
96.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
96.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
96.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
96.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
96.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
96.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
96.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
96.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
96.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
95.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
95.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
95.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
95.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
95.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
95.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
94.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
94.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
94.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
94.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
94.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
93.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
93.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
93.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
93.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
93.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
93.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
93.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
92.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
92.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
92.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
92.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
91.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
91.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
91.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
91.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
91.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
91.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
91.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
90.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
90.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
90.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
90.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
90.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
90.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
89.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
89.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
89.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
89.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
88.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
88.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
87.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
87.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
87.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
87.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
86.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
86.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
86.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
85.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
85.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
85.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
84.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
84.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
84.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
84.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
84.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
84.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
82.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
82.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
82.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
82.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
82.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
82.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
82.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
81.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
81.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
81.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
81.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
80.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
80.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
80.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
80.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
79.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
79.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
78.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
78.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
78.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
78.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
77.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
77.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
77.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
77.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
77.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
77.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
76.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
76.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
76.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
76.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
76.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
76.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
76.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
75.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
75.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
75.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
74.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
73.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
73.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
73.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
73.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
73.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
73.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
73.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
72.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
72.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
72.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
72.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
72.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
72.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
71.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
71.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
70.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
70.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
70.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
70.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
70.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
70.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
70.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
70.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
69.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
69.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
69.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
68.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
68.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
67.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
67.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
67.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
67.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
66.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
66.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
66.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
66.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
66.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
65.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
65.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
65.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
65.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
65.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
64.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
64.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
64.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
64.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
64.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
64.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
64.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
63.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
62.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
62.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
62.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
62.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
61.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
61.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
60.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
60.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
59.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
57.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
57.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
57.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
57.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
57.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
56.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
56.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
55.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
54.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
53.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
53.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
53.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
52.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
51.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
51.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
49.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
44.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
43.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
41.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
40.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
38.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
13.8
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.
EIF3E 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
268.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1285.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
789.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
683.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
607.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
589.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
582.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
580.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
540.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
536.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
499.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
432.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
432.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
430.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
394.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
372.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
370.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
358.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
358.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
357.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
341.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
335.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
323.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
308.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
302.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
301.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
285.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
278.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
269.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
263.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
263.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
263.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
260.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
258.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
257.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
254.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
253.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
251.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
247.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
247.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
243.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
235.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
233.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
230.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
225.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
224.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
223.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
222.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
220.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
219.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
192.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
192.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
191.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
191.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
190.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
187.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
184.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
182.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
180.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
175.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
173.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
169.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
168.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
166.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
161.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
157.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
152.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
149.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
148.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
147.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
146.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
141.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
137.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
135.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
132.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
128.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
126.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
122.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
114.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
106.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
105.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
101.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
98.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
95.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
95.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
94.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
93.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
91.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 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.
EIF3E 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
131.0
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
358.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
294.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
289.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
277.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
276.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
256.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
253.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
252.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
252.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
250.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
247.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
239.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
237.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
234.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
232.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
232.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
223.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
221.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
220.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
216.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
216.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
214.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
209.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
208.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
206.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
206.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
206.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
203.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
201.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
200.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
199.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
198.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
198.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
195.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
194.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
190.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
186.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
186.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
185.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
185.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
184.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
183.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
182.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
182.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
181.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
181.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
179.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
178.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
175.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
174.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
173.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
170.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
166.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
164.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
163.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
162.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
162.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
159.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
156.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
155.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
155.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
154.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
153.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
152.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
152.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
151.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
151.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
151.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
151.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
149.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
147.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
146.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
146.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
143.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
142.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
142.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
140.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
140.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
138.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
138.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
137.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
136.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
135.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
135.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
135.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
132.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
132.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
132.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
130.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
130.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
128.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
128.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
128.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
125.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
125.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
124.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
124.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
122.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
122.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
121.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
121.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
120.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
119.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
117.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
117.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
116.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
115.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
115.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
115.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
115.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
115.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
114.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
114.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
114.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
114.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
114.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
112.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
112.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
112.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
110.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
110.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
110.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
110.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
110.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
110.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
109.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
107.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
107.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
106.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
106.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
105.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
103.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
101.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
101.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
99.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
99.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
99.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
98.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
98.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
98.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
97.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
97.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
95.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
95.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
94.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
93.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
93.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
92.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
92.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
91.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
91.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
89.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
87.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
86.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
86.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
81.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
81.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
80.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
80.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
80.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
80.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
78.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
77.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
77.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
76.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
76.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
76.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
76.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
75.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
74.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
74.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
74.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
71.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
71.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
71.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
71.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
70.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
69.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
66.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
65.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
64.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
62.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
61.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
61.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
59.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
59.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
58.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
57.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
56.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
56.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
55.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
55.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
54.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
53.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
53.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
53.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
48.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
48.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
44.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
41.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
41.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
40.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
26.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
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.