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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.
ERGIC3 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
348.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
853.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
802.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
762.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
755.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
731.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
694.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
678.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
665.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
660.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
651.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
651.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
637.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
594.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
583.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
569.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
563.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
563.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
561.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
560.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
551.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
548.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
546.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
542.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
542.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
539.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
534.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
521.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
518.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
518.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
512.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
512.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
503.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
502.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
501.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
500.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
497.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
492.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
485.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
479.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
475.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
475.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
469.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
469.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
468.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
465.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
464.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
462.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
462.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
462.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
460.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
460.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
458.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
457.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
457.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
453.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
452.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
447.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
445.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
444.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
436.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
433.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
432.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
432.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
430.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
430.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
430.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
429.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
429.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
428.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
425.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
425.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
425.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
422.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
421.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
419.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
418.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
417.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
413.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
413.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
410.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
407.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
405.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
405.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
403.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
402.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
399.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
398.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
395.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
393.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
392.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
392.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
390.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
387.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
386.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
381.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
371.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
368.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
366.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
364.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
363.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
363.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
360.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
358.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
353.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
352.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
352.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
352.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
350.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
345.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
342.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
340.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
339.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
337.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
334.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
331.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
330.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
327.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
324.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
322.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
319.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
317.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
316.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
316.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
315.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
314.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
312.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
311.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
311.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
309.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
308.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
308.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
306.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
303.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
301.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
300.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
300.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
299.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
298.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
298.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
298.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
295.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
294.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
293.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
292.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
289.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
288.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
288.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
288.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
286.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
286.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
286.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
284.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
284.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
283.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
283.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
282.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
282.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
281.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
280.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
278.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
278.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
275.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
275.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
274.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
274.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
272.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
269.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
267.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
265.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
264.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
263.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
263.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
262.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
260.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
260.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
259.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
258.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
258.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
257.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
256.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
256.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
254.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
254.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
253.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
253.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
252.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
252.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
251.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
250.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
249.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
249.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
248.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
248.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
246.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
245.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
243.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
240.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
238.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
238.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
237.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
236.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
232.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
229.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
228.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
228.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
227.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
226.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
226.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
224.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
221.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
219.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
218.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
216.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
215.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
214.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
212.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
209.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
208.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
207.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
206.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
204.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
203.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
202.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
200.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
200.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
199.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
198.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
198.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
196.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
194.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
194.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
193.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
191.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
191.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
190.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
190.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
189.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
187.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
186.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
185.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
185.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
183.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
182.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
180.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
180.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
175.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
173.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
170.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
169.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
158.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
154.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
152.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
148.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ERGIC3 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
172.8
Number of samples
486
Samples
Sample
Description
TPM
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
429.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
421.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
392.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
383.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
379.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
363.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
360.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
335.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
335.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
332.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
332.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
325.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
324.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
319.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
319.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
317.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
316.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
314.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
312.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
311.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
309.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
307.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
297.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
296.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
296.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
293.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
292.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
288.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
282.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
280.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
278.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
277.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
274.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
273.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
273.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
272.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
269.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
268.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
267.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
266.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
265.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
265.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
265.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
263.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
262.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
261.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
260.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
259.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
259.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
258.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
255.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
255.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
254.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
254.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
254.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
252.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
249.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
249.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
244.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
243.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
242.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
240.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
240.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
239.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
238.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
238.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
235.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
234.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
233.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
233.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
233.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
232.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
231.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
229.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
229.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
228.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
228.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
226.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
225.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
224.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
223.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
222.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
222.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
221.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
220.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
220.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
219.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
219.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
218.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
218.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
218.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
217.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
217.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
217.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
216.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
216.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
214.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
214.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
214.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
214.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
213.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
213.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
213.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
212.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
212.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
211.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
211.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
210.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
210.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
209.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
208.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
208.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
208.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
207.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
207.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
207.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
207.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
204.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
204.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
204.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
204.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
202.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
202.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
201.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
201.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
201.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
200.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
199.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
199.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
199.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
198.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
198.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
198.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
198.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
198.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
198.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
198.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
197.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
197.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
196.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
196.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
195.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
195.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
195.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
195.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
194.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
194.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
194.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
193.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
193.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
193.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
192.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
192.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
192.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
192.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
191.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
191.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
191.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
190.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
190.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
190.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
189.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
189.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
189.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
188.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
187.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
187.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
186.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
186.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
185.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
185.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
185.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
185.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
185.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
184.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
184.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
183.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
183.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
182.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
181.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
181.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
180.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
180.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
180.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
180.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
178.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
177.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
176.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
176.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
176.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
176.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
175.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
175.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
174.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
174.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
174.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
173.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
172.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
172.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
172.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
172.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
172.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
171.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
171.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
171.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
170.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
170.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
169.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
169.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
169.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
169.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
168.6
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
168.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
167.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
166.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
165.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
165.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
165.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
165.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
165.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
164.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
163.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
163.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
163.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
162.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
161.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
161.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
161.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
161.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
161.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
161.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
160.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
160.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
160.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
160.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
160.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
160.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
160.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
159.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
159.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
159.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
158.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
158.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
158.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
157.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
157.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
157.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
157.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
157.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
156.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
156.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
156.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
156.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
155.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
155.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
155.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
155.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
155.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
154.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
154.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
153.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
153.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
153.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
152.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
152.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
152.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
152.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
152.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
152.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
152.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
151.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
151.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
151.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
151.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
151.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
151.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
151.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
151.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
150.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
150.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
150.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
150.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
150.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
149.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
149.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
149.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
148.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
148.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
147.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
147.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
147.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
147.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
146.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
146.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
146.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
145.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
145.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
145.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
145.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
144.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
144.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
143.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
143.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
143.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
142.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
142.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
142.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
142.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
142.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
142.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
141.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
141.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
141.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
141.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
141.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
140.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
140.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
139.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
139.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
139.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
139.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
139.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
139.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
139.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
138.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
138.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
138.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
137.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
137.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
137.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
137.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
137.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
136.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
136.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
136.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
136.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
136.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
136.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
135.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
135.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
135.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
135.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
134.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
134.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
134.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
134.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
134.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
134.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
133.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
133.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
133.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
133.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
133.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
132.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
132.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
132.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
131.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
131.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
131.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
131.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
131.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
131.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
131.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
130.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
130.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
130.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
129.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
129.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
129.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
129.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
128.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
128.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
128.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
128.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
127.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
127.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
127.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
126.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
126.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
126.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
126.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
126.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
125.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
125.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
125.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
124.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
124.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
124.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
124.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
123.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
123.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
123.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
123.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
122.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
122.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
122.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
121.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
121.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
121.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
121.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
120.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
120.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
120.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
120.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
120.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
118.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
118.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
118.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
118.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
117.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
117.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
117.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
117.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
117.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
116.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
116.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
116.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
116.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
116.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
115.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
115.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
115.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
115.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
115.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
114.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
114.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
114.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
113.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
113.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
113.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
112.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
111.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
111.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
111.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
111.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
110.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
110.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
110.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
110.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
109.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
109.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
109.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
109.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
108.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
107.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
106.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
106.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
105.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
105.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
105.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
104.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
104.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
103.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
103.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
103.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
103.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
103.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
102.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
102.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
100.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
99.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
99.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
97.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
97.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
97.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
97.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
96.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
96.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
96.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
95.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
94.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
93.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
92.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
91.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
91.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
89.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
87.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
86.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
83.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
82.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
80.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
76.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
64.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
61.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ERGIC3 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
404.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
900.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
862.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
773.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
726.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
722.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
693.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
687.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
621.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
613.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
588.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
577.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
554.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
545.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
543.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
533.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
512.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
511.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
502.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
494.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
492.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
485.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
464.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
462.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
460.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
454.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
451.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
448.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
443.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
442.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
442.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
441.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
440.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
431.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
417.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
414.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
414.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
406.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
406.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
394.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
391.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
389.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
388.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
385.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
381.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
379.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
376.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
373.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
367.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
366.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
364.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
358.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
357.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
346.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
344.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
342.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
327.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
324.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
324.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
321.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
314.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
311.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
305.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
301.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
299.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
297.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
297.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
297.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
292.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
291.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
288.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
283.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
280.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
278.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
278.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
275.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
272.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
261.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
256.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
250.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
241.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
238.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
237.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
233.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
224.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
217.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
198.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
159.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 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.
ERGIC3 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
171.6
Number of samples
207
Samples
Sample
Description
TPM
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
391.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
358.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
332.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
323.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
317.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
310.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
308.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
308.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
293.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
292.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
291.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
281.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
279.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
269.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
269.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
266.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
266.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
263.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
260.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
256.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
254.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
253.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
247.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
245.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
242.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
240.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
237.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
235.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
235.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
234.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
229.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
227.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
225.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
223.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
222.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
221.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
220.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
218.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
214.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
211.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
210.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
210.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
209.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
208.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
207.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
206.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
205.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
201.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
200.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
199.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
196.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
196.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
195.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
195.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
195.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
193.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
193.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
193.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
192.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
192.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
191.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
189.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
187.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
187.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
187.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
185.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
184.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
183.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
183.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
182.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
182.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
182.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
180.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
178.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
177.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
173.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
173.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
173.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
173.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
172.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
170.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
170.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
169.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
169.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
169.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
168.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
168.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
168.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
168.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
166.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
165.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
165.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
165.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
164.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
163.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
163.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
163.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
163.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
162.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
162.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
161.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
161.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
160.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
160.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
159.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
159.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
158.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
158.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
156.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
156.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
156.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
155.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
154.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
154.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
153.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
153.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
153.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
152.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
151.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
151.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
151.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
150.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
149.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
149.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
148.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
148.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
148.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
148.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
147.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
147.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
147.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
146.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
146.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
145.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
145.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
144.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
143.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
143.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
142.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
141.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
140.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
140.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
140.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
140.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
139.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
139.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
138.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
137.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
137.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
136.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
136.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
136.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
134.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
134.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
133.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
133.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
133.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
133.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
131.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
131.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
130.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
129.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
129.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
129.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
128.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
128.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
127.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
127.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
126.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
126.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
125.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
125.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
125.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
124.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
124.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
123.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
123.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
123.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
120.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
119.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
119.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
117.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
117.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
117.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
116.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
116.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
116.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
115.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
115.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
114.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
111.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
109.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
107.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
105.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
101.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
100.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
99.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
99.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
98.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
91.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
89.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
89.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
84.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
79.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
78.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
68.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
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Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
