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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.
LDHA 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
339.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
892.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
875.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
849.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
846.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
771.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
683.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
671.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
671.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
624.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
621.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
620.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
617.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
610.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
609.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
605.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
592.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
590.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
589.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
578.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
573.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
561.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
560.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
552.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
543.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
531.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
522.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
521.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
519.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
518.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
516.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
513.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
513.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
508.5
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
504.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
503.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
496.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
496.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
495.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
494.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
494.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
493.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
491.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
490.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
489.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
479.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
479.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
474.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
468.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
467.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
466.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
456.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
454.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
447.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
444.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
438.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
435.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
433.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
433.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
431.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
427.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
427.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
426.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
425.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
424.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
423.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
416.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
416.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
410.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
410.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
408.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
407.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
405.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
405.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
401.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
398.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
395.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
393.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
390.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
388.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
383.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
382.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
381.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
380.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
368.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
365.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
365.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
365.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
364.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
361.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
359.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
358.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
358.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
357.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
357.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
356.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
354.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
351.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
350.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
349.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
348.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
346.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
345.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
340.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
338.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
337.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
336.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
335.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
334.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
333.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
330.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
329.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
327.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
327.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
327.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
326.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
324.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
323.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
320.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
318.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
313.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
313.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
313.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
311.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
310.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
308.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
307.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
303.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
302.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
302.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
301.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
300.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
300.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
300.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
298.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
298.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
298.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
296.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
296.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
294.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
293.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
293.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
291.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
285.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
284.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
284.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
283.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
283.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
281.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
281.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
281.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
280.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
279.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
279.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
279.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
278.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
278.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
275.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
274.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
273.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
273.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
273.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
273.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
268.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
268.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
268.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
267.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
267.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
267.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
266.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
265.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
264.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
263.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
262.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
262.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
260.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
260.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
259.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
255.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
250.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
250.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
250.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
249.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
248.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
246.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
244.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
242.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
241.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
239.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
236.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
236.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
234.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
230.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
230.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
229.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
227.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
224.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
221.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
220.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
217.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
216.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
216.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
212.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
212.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
211.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
211.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
210.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
210.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
208.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
207.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
206.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
206.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
205.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
204.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
202.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
202.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
201.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
199.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
199.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
197.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
194.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
192.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
190.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
186.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
185.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
183.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
181.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
179.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
179.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
176.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
174.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
173.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
172.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
172.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
171.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
171.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
171.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
168.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
166.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
165.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
159.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
156.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
150.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
149.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
148.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
147.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
144.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
143.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
139.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
139.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
137.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
131.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
130.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 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.
LDHA 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
334.3
Number of samples
486
Samples
Sample
Description
TPM
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
839.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
815.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
776.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
755.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
733.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
723.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
717.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
674.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
669.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
666.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
654.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
636.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
635.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
626.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
622.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
620.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
615.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
613.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
612.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
606.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
601.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
600.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
596.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
591.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
591.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
581.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
577.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
573.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
569.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
567.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
567.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
562.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
562.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
561.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
559.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
556.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
553.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
553.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
553.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
552.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
552.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
542.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
540.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
538.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
537.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
536.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
535.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
531.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
530.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
526.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
521.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
520.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
517.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
515.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
514.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
508.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
506.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
503.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
496.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
496.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
495.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
494.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
492.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
492.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
491.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
487.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
484.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
484.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
483.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
482.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
481.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
480.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
479.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
478.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
472.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
471.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
471.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
470.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
467.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
465.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
464.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
460.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
458.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
458.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
455.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
453.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
453.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
450.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
449.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
446.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
445.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
445.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
445.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
444.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
444.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
444.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
444.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
444.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
443.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
443.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
441.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
440.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
438.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
438.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
437.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
432.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
431.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
429.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
429.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
424.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
423.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
422.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
420.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
420.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
419.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
419.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
417.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
416.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
416.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
413.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
413.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
413.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
411.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
410.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
408.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
408.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
407.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
407.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
404.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
404.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
404.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
403.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
403.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
402.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
402.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
402.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
402.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
400.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
399.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
398.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
395.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
394.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
393.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
393.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
392.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
392.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
392.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
388.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
387.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
386.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
384.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
383.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
383.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
383.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
382.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
381.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
379.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
376.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
375.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
373.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
372.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
369.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
369.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
368.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
367.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
366.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
365.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
364.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
363.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
362.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
362.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
362.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
361.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
360.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
359.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
358.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
357.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
356.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
356.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
355.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
355.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
355.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
354.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
354.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
353.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
352.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
351.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
350.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
350.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
350.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
349.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
349.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
348.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
347.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
346.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
344.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
343.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
340.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
340.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
339.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
338.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
338.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
338.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
337.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
335.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
334.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
332.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
332.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
331.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
331.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
331.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
330.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
329.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
329.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
328.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
326.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
325.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
323.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
323.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
322.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
322.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
322.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
321.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
321.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
321.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
319.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
319.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
319.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
318.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
318.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
317.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
316.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
316.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
315.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
315.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
313.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
313.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
312.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
312.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
310.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
310.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
310.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
310.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
310.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
310.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
309.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
309.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
308.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
307.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
306.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
306.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
306.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
305.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
305.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
303.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
302.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
301.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
301.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
300.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
300.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
300.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
300.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
298.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
298.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
298.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
298.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
298.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
297.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
296.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
295.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
294.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
294.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
293.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
293.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
293.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
293.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
292.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
292.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
292.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
291.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
291.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
291.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
290.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
289.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
289.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
288.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
288.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
288.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
287.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
286.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
286.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
286.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
285.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
285.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
285.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
283.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
283.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
282.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
282.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
281.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
280.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
278.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
278.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
278.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
278.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
277.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
276.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
276.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
275.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
275.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
275.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
275.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
273.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
271.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
271.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
271.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
270.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
269.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
269.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
269.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
269.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
266.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
265.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
265.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
265.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
265.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
264.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
264.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
264.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
264.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
264.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
263.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
263.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
262.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
262.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
261.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
260.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
259.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
258.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
257.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
257.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
256.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
255.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
255.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
254.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
253.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
252.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
251.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
251.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
250.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
250.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
249.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
249.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
247.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
246.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
246.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
245.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
244.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
244.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
243.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
242.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
241.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
240.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
240.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
240.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
238.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
238.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
238.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
237.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
234.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
234.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
234.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
233.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
233.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
232.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
232.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
230.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
230.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
229.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
229.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
229.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
228.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
227.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
225.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
225.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
225.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
224.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
223.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
222.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
221.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
221.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
220.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
220.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
219.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
219.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
217.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
217.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
215.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
215.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
215.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
213.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
212.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
210.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
209.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
209.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
209.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
209.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
208.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
207.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
206.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
205.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
203.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
203.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
200.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
200.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
198.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
197.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
194.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
192.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
192.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
190.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
189.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
189.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
187.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
183.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
183.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
183.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
182.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
182.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
181.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
181.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
180.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
179.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
177.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
177.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
176.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
176.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
176.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
175.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
175.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
174.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
173.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
171.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
171.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
170.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
170.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
166.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
165.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
163.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
163.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
162.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
161.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
160.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
160.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
157.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
157.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
156.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
155.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
155.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
154.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
153.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
150.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
147.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
145.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
142.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
141.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
141.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
140.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
138.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
136.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
132.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
132.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
131.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
128.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
128.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
127.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
126.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
126.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
122.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
121.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
111.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
111.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
110.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
64.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
7.9
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.
LDHA 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
322.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
836.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
571.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
567.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
553.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
527.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
523.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
520.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
515.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
506.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
503.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
474.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
472.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
470.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
463.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
456.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
456.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
441.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
433.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
428.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
411.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
410.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
410.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
402.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
401.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
397.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
394.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
381.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
381.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
378.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
364.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
360.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
354.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
353.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
352.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
349.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
335.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
335.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
333.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
323.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
322.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
318.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
317.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
314.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
312.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
311.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
310.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
307.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
304.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
303.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
294.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
291.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
289.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
284.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
279.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
277.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
274.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
273.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
265.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
263.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
255.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
249.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
248.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
240.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
235.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
231.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
230.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
227.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
209.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
207.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
205.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
198.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
196.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
194.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
192.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
192.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
191.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
189.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
182.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
172.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
171.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
169.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
165.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
155.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
155.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
94.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
90.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
53.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LDHA 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
268.8
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
693.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
528.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
513.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
508.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
489.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
488.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
487.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
484.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
484.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
477.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
468.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
460.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
455.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
434.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
430.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
421.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
421.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
417.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
404.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
404.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
401.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
398.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
397.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
396.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
389.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
383.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
374.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
367.6
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
365.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
357.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
348.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
343.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
339.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
338.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
338.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
337.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
336.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
336.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
334.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
333.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
331.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
330.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
330.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
326.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
325.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
325.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
321.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
321.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
320.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
320.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
319.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
317.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
317.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
313.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
313.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
310.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
309.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
309.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
307.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
305.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
305.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
304.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
303.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
301.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
301.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
300.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
300.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
299.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
297.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
296.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
294.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
291.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
291.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
291.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
288.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
288.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
288.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
287.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
282.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
281.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
281.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
281.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
280.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
278.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
278.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
278.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
277.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
276.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
275.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
275.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
271.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
270.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
269.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
269.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
268.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
265.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
264.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
263.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
262.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
262.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
261.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
261.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
260.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
259.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
259.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
259.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
255.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
254.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
253.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
253.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
253.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
252.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
252.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
250.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
248.2
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
248.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
247.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
246.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
246.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
245.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
244.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
243.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
238.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
238.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
236.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
236.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
235.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
235.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
234.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
233.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
233.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
232.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
231.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
229.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
229.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
229.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
227.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
226.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
225.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
224.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
224.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
223.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
222.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
220.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
218.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
216.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
215.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
214.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
213.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
212.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
212.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
211.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
211.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
211.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
207.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
206.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
205.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
205.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
203.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
201.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
200.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
196.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
193.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
193.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
192.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
190.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
188.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
187.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
187.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
182.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
182.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
181.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
179.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
178.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
178.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
175.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
175.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
173.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
173.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
170.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
166.3
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
165.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
164.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
163.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
161.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
153.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
149.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
145.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
144.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
143.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
143.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
140.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
140.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
139.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
133.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
132.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
131.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
128.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
127.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
125.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
120.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
119.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
109.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
105.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
98.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
95.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.5
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
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Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
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Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
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Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
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Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
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Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.8
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.8
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.