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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.
KRT8 is potential prognostic, high expression is unfavorable in Pancreatic 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
1307.7
Number of samples
176
Samples
Sample
Description
TPM
TCGA-RB-AA9M-01A
0 years, male, white, stage:Stage IIB, alive, 286 days
3536.4
TCGA-HZ-7926-01A
0 years, male, black or african american, stage:Stage IIB, dead, 518 days
3401.8
TCGA-HZ-7289-01A
0 years, male, white, stage:Stage IIB, dead, 661 days
3026.3
TCGA-XD-AAUL-01A
0 years, male, white, stage:Stage IIA, alive, 498 days
2978.4
TCGA-HZ-7924-01A
0 years, female, white, stage:Stage IIA, alive, 840 days
2910.5
TCGA-F2-A7TX-01A
0 years, male, white, stage:Stage IIB, dead, 95 days
2898.9
TCGA-FB-AAPP-01A
0 years, male, white, stage:Stage IIB, dead, 485 days
2759.3
TCGA-2J-AAB1-01A
0 years, male, white, stage:Stage IIB, dead, 66 days
2629.4
TCGA-US-A776-01A
0 years, male, white, stage:Stage IIA, alive, 1216 days
2564.3
TCGA-2L-AAQL-01A
0 years, male, white, stage:Stage IIB, dead, 292 days
2515.7
TCGA-2L-AAQI-01A
0 years, male, white, stage:Stage IIB, dead, 103 days
2495.1
TCGA-3A-A9IU-01A
0 years, male, white, stage:Stage IIB, dead, 458 days
2477.5
TCGA-HZ-A8P1-01A
0 years, male, white, stage:Stage IB, alive, 7 days
2468.8
TCGA-HV-A7OL-01A
0 years, male, asian, stage:Stage IIA, alive, 252 days
2423.0
TCGA-2J-AABO-01A
0 years, male, white, stage:Stage IIB, alive, 440 days
2417.0
TCGA-US-A779-01A
0 years, female, white, stage:Stage IIB, dead, 511 days
2410.2
TCGA-OE-A75W-01A
0 years, male, white, stage:Stage IIA, dead, 267 days
2347.5
TCGA-3A-A9IH-01A
0 years, female, white, stage:Stage IA, alive, 1021 days
2315.7
TCGA-HZ-7922-01A
0 years, female, white, stage:Stage IIB, alive, 4 days
2313.4
TCGA-FB-AAQ1-01A
0 years, male, white, stage:Stage IIB, dead, 123 days
2309.1
TCGA-HZ-A4BH-01A
0 years, male, white, stage:Stage IIB, alive, 194 days
2221.0
TCGA-FB-AAPU-01A
0 years, female, asian, stage:Stage IIA, dead, 381 days
2186.9
TCGA-L1-A7W4-01A
0 years, female, white, stage:Stage IIB, dead, 278 days
2147.3
TCGA-HZ-8005-01A
0 years, male, white, stage:Stage IIB, dead, 120 days
2139.0
TCGA-HZ-A9TJ-01A
0 years, male, white, stage:Stage IV, alive, 603 days
2137.7
TCGA-3A-A9I7-01A
0 years, male, black or african american, stage:Stage IIB, alive, 1323 days
2132.3
TCGA-2L-AAQJ-01A
0 years, female, white, stage:Stage III, dead, 394 days
2128.2
TCGA-HZ-A49I-01A
0 years, male, white, stage:Stage IIB, dead, 308 days
2120.4
TCGA-PZ-A5RE-01A
0 years, female, white, stage:Stage IIB, dead, 470 days
2080.9
TCGA-IB-AAUQ-01A
0 years, male, white, stage:Stage IIB, dead, 183 days
2075.8
TCGA-IB-A5SS-01A
0 years, female, white, stage:Stage IIB, dead, 460 days
2066.2
TCGA-YY-A8LH-01A
0 years, female, white, stage:Stage IIB, alive, 2016 days
2046.7
TCGA-M8-A5N4-01A
0 years, female, stage:Stage IIA, alive, 584 days
2046.4
TCGA-Q3-AA2A-01A
0 years, female, white, stage:Stage IB, alive, 95 days
2028.5
TCGA-IB-AAUU-01A
0 years, male, white, stage:Stage IIB, alive, 245 days
2022.7
TCGA-3A-A9IB-01A
0 years, female, white, stage:Stage IIB, dead, 224 days
2000.4
TCGA-IB-A5SP-01A
0 years, male, white, stage:Stage IIA, alive, 482 days
1999.5
TCGA-IB-AAUO-01A
0 years, female, white, stage:Stage IIB, dead, 239 days
1994.0
TCGA-3E-AAAZ-01A
0 years, male, white, stage:Stage IIA, dead, 2182 days
1953.5
TCGA-IB-8127-01A
0 years, male, white, stage:Stage IIB, alive, 522 days
1951.0
TCGA-2J-AAB9-01A
0 years, female, white, stage:Stage IIB, dead, 627 days
1934.5
TCGA-FB-A78T-01A
0 years, female, white, stage:Stage IIB, dead, 375 days
1909.5
TCGA-FB-A545-01A
0 years, female, white, stage:Stage IIB, dead, 732 days
1901.6
TCGA-US-A77G-01A
0 years, male, white, stage:Stage IIB, dead, 12 days
1841.3
TCGA-2J-AABA-01A
0 years, male, white, stage:Stage IIB, dead, 607 days
1823.1
TCGA-FB-AAPY-01A
0 years, male, white, stage:Stage IIB, dead, 1059 days
1822.6
TCGA-FB-AAQ0-01A
0 years, male, white, stage:Stage IIA, dead, 473 days
1822.3
TCGA-IB-A5SO-01A
0 years, male, white, stage:Stage IIB, dead, 365 days
1793.2
TCGA-3A-A9J0-01A
0 years, male, white, stage:Stage IIB, alive, 743 days
1782.1
TCGA-IB-7646-01A
0 years, male, white, stage:Stage IIB, dead, 145 days
1763.8
TCGA-HZ-A4BK-01A
0 years, male, white, stage:Stage IIB, alive, 657 days
1741.3
TCGA-2J-AABF-01A
0 years, male, white, stage:Stage IIB, dead, 691 days
1664.8
TCGA-2J-AABR-01A
0 years, female, white, stage:Stage IIA, alive, 438 days
1652.9
TCGA-XD-AAUI-01A
0 years, female, white, stage:Stage IIB, dead, 366 days
1652.1
TCGA-S4-A8RP-01A
0 years, female, white, stage:Stage IIB, dead, 702 days
1651.7
TCGA-HZ-8638-01A
0 years, female, white, stage:Stage IA, dead, 151 days
1644.1
TCGA-XN-A8T3-01A
0 years, male, white, stage:Stage IB, alive, 951 days
1643.6
TCGA-3A-A9IZ-01A
0 years, male, white, stage:Stage IIB, dead, 308 days
1630.7
TCGA-2L-AAQA-01A
0 years, male, white, stage:Stage IIB, dead, 143 days
1612.7
TCGA-IB-A7M4-01A
0 years, male, white, stage:Stage IIB, alive, 483 days
1596.2
TCGA-3E-AAAY-01A
0 years, male, white, stage:Stage IIB, alive, 2285 days
1577.3
TCGA-2J-AABK-01A
0 years, male, white, stage:Stage IIB, alive, 484 days
1564.6
TCGA-IB-A5SQ-01A
0 years, female, white, stage:Stage IB, dead, 219 days
1543.0
TCGA-2J-AAB8-01A
0 years, male, white, stage:Stage IIB, alive, 80 days
1540.6
TCGA-S4-A8RO-01A
0 years, female, white, stage:Stage IIB, alive, 525 days
1530.3
TCGA-FB-AAPZ-01A
0 years, male, white, stage:Stage IIB, alive, 716 days
1527.8
TCGA-FB-AAQ6-01A
0 years, male, white, stage:Stage IA, dead, 244 days
1498.1
TCGA-F2-A44G-01A
0 years, female, white, stage:Stage IIB, dead, 233 days
1492.9
TCGA-F2-6879-01A
0 years, male, white, stage:Stage IIB, dead, 334 days
1471.9
TCGA-2J-AAB6-01A
0 years, male, white, stage:Stage IIA, dead, 293 days
1464.9
TCGA-HV-A5A4-01A
0 years, female, asian, stage:Stage IIA, alive, 232 days
1460.5
TCGA-HV-A5A5-01A
0 years, female, asian, stage:Stage IIB, alive, 289 days
1457.3
TCGA-3A-A9I5-01A
0 years, male, white, stage:'--, alive, 1794 days
1433.0
TCGA-HV-A5A6-01A
0 years, female, asian, stage:Stage IIB, dead, 2036 days
1427.1
TCGA-2L-AAQE-01A
0 years, male, white, stage:Stage IIB, dead, 684 days
1422.8
TCGA-H6-A45N-01A
0 years, female, white, stage:Stage IIB, dead, 397 days
1386.3
TCGA-IB-A7LX-01A
0 years, male, white, stage:Stage IIB, dead, 250 days
1380.4
TCGA-S4-A8RM-01A
0 years, male, white, stage:Stage IIB, alive, 737 days
1370.1
TCGA-FB-AAPQ-01A
0 years, male, white, stage:Stage IIB, dead, 1130 days
1359.0
TCGA-HZ-8315-01A
0 years, female, white, stage:Stage IIA, dead, 299 days
1345.1
TCGA-YB-A89D-01A
0 years, male, white, stage:Stage IIB, alive, 350 days
1337.3
TCGA-FB-A7DR-01A
0 years, male, asian, stage:Stage IIA, dead, 353 days
1298.3
TCGA-HV-A5A3-01A
0 years, male, asian, stage:Stage IIA, dead, 128 days
1287.8
TCGA-IB-7885-01A
0 years, female, white, stage:Stage IIB, alive, 1257 days
1282.6
TCGA-FB-AAQ2-01A
0 years, female, white, stage:Stage IIB, dead, 153 days
1279.3
TCGA-F2-7276-01A
0 years, male, white, stage:Stage IIB, dead, 216 days
1272.6
TCGA-HZ-7925-01A
0 years, male, white, stage:Stage IIB, dead, 614 days
1272.3
TCGA-IB-AAUW-01A
0 years, female, white, stage:Stage IIB, dead, 230 days
1259.4
TCGA-HZ-7919-01A
0 years, female, white, stage:Stage IIB, dead, 593 days
1242.4
TCGA-US-A774-01A
0 years, female, white, stage:Stage IIB, dead, 695 days
1211.1
TCGA-IB-7651-01A
0 years, female, white, stage:Stage IIB, dead, 603 days
1193.8
TCGA-FB-AAQ3-01A
0 years, female, white, stage:Stage IIB, dead, 31 days
1185.6
TCGA-RB-A7B8-01A
0 years, female, white, stage:Stage IIB, dead, 466 days
1174.4
TCGA-FB-A4P6-01A
0 years, male, white, stage:Stage IIB, alive, 767 days
1134.9
TCGA-LB-A8F3-01A
0 years, female, black or african american, stage:Stage IIA, alive, 379 days
1125.7
TCGA-2J-AAB4-01A
0 years, male, white, stage:Stage IIB, alive, 729 days
1109.1
TCGA-YH-A8SY-01A
0 years, female, white, stage:'--, alive, 388 days
1102.9
TCGA-US-A77J-01A
0 years, female, white, stage:Stage IIB, dead, 568 days
1083.2
TCGA-IB-7654-01A
0 years, male, white, stage:Stage IIB, dead, 476 days
1083.1
TCGA-RL-AAAS-01A
0 years, female, white, stage:Stage IB, alive, 9 days
1083.0
TCGA-IB-AAUN-01A
0 years, female, white, stage:Stage IB, dead, 144 days
1080.5
TCGA-2J-AABH-01A
0 years, male, white, stage:Stage IIA, alive, 1287 days
1078.5
TCGA-2J-AABT-01A
0 years, female, white, stage:Stage IIB, alive, 319 days
1073.6
TCGA-HZ-A49G-01A
0 years, female, white, stage:Stage IIB, alive, 660 days
1061.4
TCGA-US-A77E-01A
0 years, male, white, stage:Stage IIB, dead, 430 days
1054.7
TCGA-3A-A9IX-01A
0 years, male, white, stage:Stage IA, alive, 1037 days
1049.0
TCGA-IB-7644-01A
0 years, female, white, stage:Stage IV, dead, 394 days
1045.8
TCGA-HZ-A77O-01A
0 years, female, white, stage:Stage IIB, dead, 160 days
1020.3
TCGA-2J-AABE-01A
0 years, male, white, stage:Stage IIA, alive, 676 days
1018.0
TCGA-FB-A4P5-01A
0 years, female, white, stage:Stage IIB, dead, 179 days
990.1
TCGA-2J-AABU-01A
0 years, male, white, stage:Stage IIB, dead, 277 days
979.1
TCGA-3A-A9IC-01A
0 years, female, white, stage:Stage IIB, dead, 738 days
976.0
TCGA-HV-AA8X-01A
0 years, female, asian, stage:Stage IIB, dead, 532 days
975.5
TCGA-IB-7891-01A
0 years, female, white, stage:Stage IIB, dead, 913 days
970.0
TCGA-3A-A9I9-01A
0 years, male, white, stage:Stage IIA, dead, 634 days
955.6
TCGA-HV-AA8V-01A
0 years, male, asian, stage:Stage IIB, alive, 920 days
949.7
TCGA-IB-A6UF-01A
0 years, male, white, stage:Stage IIB, alive, 666 days
935.6
TCGA-IB-A6UG-01A
0 years, male, white, stage:Stage IIB, dead, 41 days
881.4
TCGA-IB-7886-01A
0 years, male, white, stage:Stage IIB, dead, 123 days
881.3
TCGA-IB-7652-01A
0 years, female, asian, stage:Stage IIB, alive, 1116 days
877.3
TCGA-HZ-8317-01A
0 years, female, white, stage:Stage IIB, dead, 378 days
872.5
TCGA-IB-7889-01A
0 years, female, white, stage:Stage IIB, dead, 481 days
858.2
TCGA-Q3-A5QY-01A
0 years, male, white, stage:Stage IIB, alive, 416 days
841.1
TCGA-XN-A8T5-01A
0 years, female, white, stage:Stage IB, alive, 720 days
834.3
TCGA-HZ-8002-01A
0 years, male, white, stage:Stage IIB, dead, 366 days
820.6
TCGA-IB-7649-01A
0 years, female, stage:Stage IIB, dead, 467 days
789.1
TCGA-IB-AAUT-01A
0 years, male, white, stage:Stage IIB, alive, 287 days
773.7
TCGA-H6-8124-01A
0 years, female, white, stage:Stage IIB, alive, 392 days
773.0
TCGA-HZ-A77Q-01A
0 years, female, white, stage:Stage IIB, alive, 33 days
731.6
TCGA-LB-A7SX-01A
0 years, female, black or african american, stage:Stage IIB, dead, 393 days
717.4
TCGA-IB-7890-01A
0 years, male, stage:Stage IB, dead, 598 days
716.6
TCGA-IB-AAUP-01A
0 years, male, white, stage:Stage IIB, alive, 431 days
715.4
TCGA-HZ-A77P-01A
0 years, male, white, stage:Stage IIB, alive, 330 days
700.8
TCGA-HZ-8636-01A
0 years, female, white, stage:Stage IV, dead, 545 days
670.4
TCGA-FB-A5VM-01A
0 years, male, white, stage:Stage IB, dead, 498 days
666.4
TCGA-IB-7887-01A
0 years, female, white, stage:Stage IIB, dead, 110 days
665.8
TCGA-F2-7273-01A
0 years, male, black or african american, stage:Stage IIB, dead, 592 days
663.0
TCGA-HZ-8001-01A
0 years, male, white, stage:Stage III, alive, 706 days
660.9
TCGA-F2-A8YN-01A
0 years, male, white, stage:Stage IIA, alive, 517 days
616.3
TCGA-IB-A5ST-01A
0 years, female, white, stage:Stage IIB, alive, 635 days
609.9
TCGA-Z5-AAPL-01A
0 years, female, white, stage:Stage IIA, alive, 467 days
580.4
TCGA-3A-A9IS-01A
0 years, male, white, stage:Stage IB, alive, 998 days
574.1
TCGA-IB-AAUS-01A
0 years, female, white, stage:Stage IIB, alive, 225 days
556.6
TCGA-HZ-7920-01A
0 years, male, white, stage:Stage IB, dead, 236 days
549.0
TCGA-HZ-A49H-01A
0 years, female, white, stage:Stage IIB, alive, 491 days
534.6
TCGA-HZ-8637-01A
0 years, female, white, stage:Stage IIB, dead, 517 days
503.3
TCGA-IB-7645-01A
0 years, female, stage:Stage IIB, dead, 1502 days
474.4
TCGA-LB-A9Q5-01A
0 years, female, white, stage:Stage IIB, dead, 313 days
473.9
TCGA-XD-AAUG-01A
0 years, female, white, stage:Stage IV, alive, 420 days
471.3
TCGA-IB-AAUR-01A
0 years, male, white, stage:Stage IIB, alive, 338 days
467.5
TCGA-3A-A9IR-01A
0 years, female, white, stage:Stage IB, alive, 1542 days
452.3
TCGA-F2-A44H-01A
0 years, male, white, stage:Stage IIA, alive, 586 days
446.0
TCGA-HV-A7OP-01A
0 years, male, asian, stage:Stage IIB, alive, 978 days
427.6
TCGA-2L-AAQM-01A
0 years, male, white, stage:Stage IIB, alive, 1383 days
423.4
TCGA-HZ-8519-01A
0 years, male, white, stage:Stage IA, alive, 454 days
391.1
TCGA-H8-A6C1-01A
0 years, male, white, stage:Stage IIA, alive, 671 days
387.5
TCGA-XD-AAUH-01A
0 years, female, white, stage:Stage IIB, alive, 395 days
380.5
TCGA-2J-AABV-01A
0 years, male, white, stage:Stage IIB, dead, 652 days
380.5
TCGA-IB-7893-01A
0 years, male, white, stage:Stage IIA, dead, 117 days
375.2
TCGA-HZ-7918-01A
0 years, male, white, stage:Stage IIB, alive, 969 days
361.7
TCGA-IB-7888-01A
0 years, female, black or african american, stage:Stage IIA, dead, 1332 days
346.3
TCGA-HZ-7923-01A
0 years, male, white, stage:Stage IIA, alive, 314 days
336.3
TCGA-FB-AAPS-01A
0 years, female, white, stage:Stage IIB, alive, 228 days
329.9
TCGA-IB-AAUM-01A
0 years, male, white, stage:Stage IIB, alive, 8 days
298.7
TCGA-3A-A9IL-01A
0 years, female, white, stage:Stage I, alive, 2741 days
261.8
TCGA-2J-AABI-01A
0 years, female, white, stage:Stage IIA, alive, 969 days
229.3
TCGA-IB-AAUV-01A
0 years, male, white, stage:Stage IIB, alive, 404 days
228.5
TCGA-3A-A9IO-01A
0 years, male, white, stage:'--, alive, 1942 days
224.8
TCGA-3A-A9IJ-01A
0 years, male, white, stage:Stage IB, alive, 1854 days
222.9
TCGA-3A-A9IV-01A
0 years, female, white, stage:Stage IB, alive, 1103 days
194.6
TCGA-HZ-8003-01A
0 years, female, white, stage:Stage IIB, dead, 596 days
175.0
TCGA-3A-A9IN-01A
0 years, female, white, stage:Stage IB, alive, 2084 days
168.1
TCGA-IB-8126-01A
0 years, female, white, stage:Stage III, alive, 462 days
166.7
TCGA-IB-7897-01A
0 years, female, white, stage:Stage IIB, dead, 486 days
156.2
TCGA-F2-6880-01A
0 years, male, white, stage:Stage IIB, alive, 295 days
155.6
TCGA-2J-AABP-01A
0 years, female, white, stage:Stage IIB, alive, 463 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.
KRT8 is not prognostic in Pancreatic 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
518.3
Number of samples
80
Samples
Sample
Description
TPM
DO49135
0 years, male, NA, stage:, alive, 270 days
2134.1
DO33512
female, NA, stage:, dead, 499 days
1248.1
DO34801
0 years, male, NA, stage:, alive, 626 days
1090.6
DO34640
0 years, female, NA, stage:, dead, 287 days
928.9
DO34608
0 years, female, NA, stage:, dead, 709 days
884.9
DO34905
0 years, male, NA, stage:, alive, 1142 days
868.2
DO34600
0 years, male, NA, stage:, dead, 537 days
854.0
DO33344
0 years, male, NA, stage:, dead, 361 days
847.7
DO34368
0 years, female, NA, stage:, dead, 537 days
847.7
DO34680
0 years, male, NA, stage:, dead, 99 days
828.0
DO34696
0 years, male, NA, stage:, alive, 689 days
800.6
DO34336
0 years, female, NA, stage:, alive, 743 days
776.3
DO33400
0 years, female, NA, stage:, alive, 1043 days
741.0
DO32878
0 years, female, NA, stage:, dead, 260 days
736.2
DO49204
0 years, male, NA, stage:, dead, 156 days
694.0
DO49172
0 years, female, NA, stage:, dead, 1021 days
689.3
DO49178
0 years, male, NA, stage:, dead, 27 days
685.1
DO33488
0 years, male, NA, stage:, alive, 844 days
667.0
DO33128
0 years, male, NA, stage:, dead, 423 days
662.0
DO33600
0 years, female, NA, stage:, alive, 854 days
658.4
DO49185
0 years, male, NA, stage:, alive, 179 days
648.4
DO34288
0 years, female, NA, stage:, dead, 220 days
644.9
DO33984
0 years, male, NA, stage:, alive, 847 days
636.0
DO49113
0 years, female, NA, stage:, alive, 413 days
634.3
DO49164
0 years, male, NA, stage:, alive, 272 days
632.8
DO49183
0 years, female, NA, stage:, dead, 429 days
627.4
DO49193
0 years, male, NA, stage:, dead, 1 days
626.9
DO49166
0 years, female, NA, stage:, alive, 222 days
621.1
DO49184
0 years, male, NA, stage:, dead, 455 days
599.1
DO33544
0 years, female, NA, stage:, dead, 412 days
589.8
DO49138
0 years, male, NA, stage:, dead, 230 days
582.3
DO33392
0 years, male, NA, stage:, alive, 1014 days
580.6
DO34448
0 years, female, NA, stage:, dead, 719 days
579.4
DO49129
0 years, male, NA, stage:, alive, 337 days
574.3
DO32875
0 years, male, NA, stage:, dead, 348 days
568.5
DO33336
0 years, female, NA, stage:, dead, 451 days
557.8
DO34720
0 years, male, NA, stage:, alive, 555 days
532.0
DO49137
0 years, female, NA, stage:, alive, 232 days
526.6
DO34432
0 years, female, NA, stage:, dead, 400 days
522.9
DO34312
0 years, female, NA, stage:, dead, 226 days
510.7
DO33472
0 years, female, NA, stage:, dead, 388 days
506.2
DO32900
0 years, male, NA, stage:, dead, 768 days
497.3
DO49133
0 years, female, NA, stage:, alive, 188 days
493.3
DO34849
0 years, female, NA, stage:, dead, 272 days
488.4
DO33376
0 years, female, NA, stage:, alive, 909 days
477.3
DO34785
0 years, female, NA, stage:, alive, 721 days
462.8
DO33408
0 years, female, NA, stage:, alive, 909 days
462.7
DO34656
0 years, female, NA, stage:, alive, 834 days
458.8
DO33480
0 years, male, NA, stage:, alive, 1054 days
419.5
DO32863
0 years, male, NA, stage:, dead, 715 days
383.5
DO49078
0 years, male, NA, stage:, dead, 465 days
382.0
DO33552
0 years, female, NA, stage:, alive, 873 days
375.8
DO34616
0 years, female, NA, stage:, alive, 666 days
368.7
DO49127
0 years, female, NA, stage:, alive, 392 days
364.9
DO49181
0 years, male, NA, stage:, dead, 1534 days
364.7
DO34817
0 years, female, NA, stage:, alive, 540 days
357.3
DO49087
0 years, female, NA, stage:, dead, 260 days
320.6
DO32860
0 years, male, NA, stage:, dead, 1259 days
317.5
DO49090
0 years, female, NA, stage:, dead, 152 days
316.6
DO32829
0 years, female, NA, stage:T2N0MX, dead, 1874 days
304.5
DO49199
0 years, male, NA, stage:, dead, 1095 days
298.7
DO34793
0 years, male, NA, stage:, dead, 427 days
298.3
DO34504
0 years, male, NA, stage:, dead, 257 days
297.7
DO49130
0 years, female, NA, stage:, alive, 351 days
294.7
DO34264
0 years, female, NA, stage:, dead, 1144 days
291.9
DO34736
0 years, female, NA, stage:, dead, 203 days
278.1
DO34961
0 years, male, NA, stage:, dead, 632 days
274.3
DO49079
0 years, male, NA, stage:, dead, 332 days
239.9
DO34809
0 years, female, NA, stage:, dead, 297 days
212.7
DO34240
0 years, male, NA, stage:, dead, 236 days
205.1
DO49076
0 years, male, NA, stage:, dead, 480 days
198.8
DO49198
0 years, female, NA, stage:, dead, 251 days
188.2
DO49175
0 years, male, NA, stage:, dead, 414 days
161.2
DO49170
0 years, male, NA, stage:, alive, 197 days
157.0
DO49074
0 years, male, NA, stage:, dead, 168 days
138.0
DO49168
0 years, male, NA, stage:, alive, 149 days
136.8
DO49080
0 years, male, NA, stage:, alive, 83 days
86.4
DO33368
0 years, male, NA, stage:, dead, 98 days
62.9
DO33168
0 years, female, NA, stage:, dead, 8 days
58.3
DO34728
0 years, female, NA, stage:, alive, 508 days
31.8
Show allShow less
PANCREATIC DUCTAL ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
235
Samples
Sample ID
Sample type
nRPX
CPT0123440003
Tumor
0.6
CPT0066020003
Normal
0.5
CPT0001750003
Normal
0.5
C3L-03632-04
Normal
0.5
CPT0011540003
Normal
0.5
CPT0123890003
Normal
0.4
CPT0127290003
Normal
0.4
CPT0091680003
Normal
0.4
CPT0089750004
Normal
0.4
CPT0239140004
Normal
0.4
CPT0078180003
Normal
0.4
C3L-00189-04
Normal
0.4
CPT0125010003
Normal
0.4
CPT0123670003
Normal
0.3
CPT0123460003
Normal
0.3
CPT0063580003
Normal
0.3
CPT0124000003
Normal
0.3
CPT0064110003
Normal
0.3
CPT0017130003
Normal
0.3
CPT0174700004
Tumor
0.3
CPT0077950003
Normal
0.3
CPT0226570004
Tumor
0.3
CPT0264150003
Tumor
0.3
CPT0198700005
Tumor
0.2
CPT0248590004
Tumor
0.2
CPT0235230004
Tumor
0.2
CPT0208690004
Tumor
0.2
CPT0123770003
Normal
0.2
CPT0347820002
Normal
0.2
CPT0221250004
Normal
0.2
C3N-00709-06
Normal
0.2
CPT0241510004
Normal
0.2
CPT0124530003
Normal
0.2
CPT0001730017
Tumor
0.2
CPT0077810003
Normal
0.2
CPT0081260004
Tumor
0.2
CPT0236780005
Tumor
0.2
CPT0077790004
Tumor
0.2
CPT0236360004
Normal
0.2
CPT0091660003
Tumor
0.2
CPT0019410004
Tumor
0.2
CPT0081360004
Tumor
0.2
CPT0094130004
Tumor
0.1
CPT0108960003
Normal
0.1
CPT0198930003
Normal
0.1
CPT0124980004
Tumor
0.1
CPT0081470004
Tumor
0.1
CPT0077880003
Normal
0.1
CPT0236800004
Normal
0.1
CPT0094180003
Tumor
0.1
CPT0238640004
Normal
0.1
CPT0248620003
Normal
0.1
CPT0236560004
Tumor
0.1
CPT0011520003
Tumor
0.1
CPT0183450005
Tumor
0.1
C3N-02573-03
Normal
0.1
CPT0093860003
Tumor
0.1
CPT0198440004
Normal
0.1
CPT0064090003
Tumor
0.1
CPT0166780004
Normal
0.1
CPT0209640005
Tumor
0.1
CPT0208550005
Tumor
0.1
CPT0237850004
Normal
0.1
CPT0218220004
Normal
0.1
CPT0025760003
Normal
0.1
CPT0065640003
Tumor
0.1
CPT0078250003
Tumor
0.1
CPT0241320005
Tumor
0.1
CPT0355190003
Normal
0.1
CPT0238610009
Tumor
0.1
CPT0162670004
Normal
0.1
CPT0063570003
Tumor
0.0
CPT0208840004
Tumor
0.0
CPT0123860003
Tumor
0.0
CPT0170240004
Tumor
0.0
CPT0123650003
Tumor
0.0
CPT0063970004
Tumor
0.0
CPT0218200004
Tumor
0.0
CPT0238440005
Tumor
0.0
CPT0238940004
Normal
0.0
CPT0017040004
Tumor
0.0
CPT0186040004
Tumor
0.0
CPT0241500004
Tumor
0.0
CPT0124410004
Tumor
0.0
CPT0207980005
Tumor
0.0
CPT0238920004
Tumor
0.0
CPT0162780004
Normal
0.0
CPT0248440003
Normal
0.0
CPT0237840004
Tumor
0.0
CPT0355200003
Normal
0.0
CPT0139000004
Tumor
0.0
CPT0093980004
Tumor
0.0
CPT0093880003
Normal
0.0
CPT0237910004
Tumor
0.0
CPT0347850002
Normal
0.0
CPT0209650004
Normal
0.0
CPT0086210003
Normal
0.0
CPT0276030003
Normal
0.0
CPT0170260004
Normal
0.0
CPT0208710004
Normal
0.0
CPT0108930003
Tumor
0.0
CPT0123990003
Tumor
0.0
CPT0237920004
Normal
0.0
CPT0086190004
Tumor
0.0
CPT0238740004
Normal
0.0
CPT0094230004
Tumor
0.0
CPT0089720003
Tumor
0.0
CPT0019300004
Tumor
-0.1
CPT0246940003
Tumor
-0.1
CPT0254680003
Tumor
-0.1
CPT0239920004
Normal
-0.1
CPT0238710004
Tumor
-0.1
CPT0239100009
Tumor
-0.1
CPT0247090003
Tumor
-0.1
CPT0014040003
Tumor
-0.1
CPT0221470005
Tumor
-0.1
CPT0276010003
Tumor
-0.1
CPT0226650004
Tumor
-0.1
CPT0187540004
Normal
-0.1
CPT0207780004
Tumor
-0.1
CPT0123750003
Tumor
-0.1
CPT0092630003
Tumor
-0.1
CPT0246950003
Normal
-0.1
CPT0347790002
Normal
-0.1
CPT0088320003
Tumor
-0.1
CPT0347880002
Normal
-0.1
CPT0161770004
Tumor
-0.1
CPT0125130003
Tumor
-0.2
CPT0124500004
Tumor
-0.2
CPT0209310004
Tumor
-0.2
CPT0124360003
Tumor
-0.2
CPT0078000003
Tumor
-0.2
CPT0077860003
Tumor
-0.2
CPT0064520004
Tumor
-0.2
CPT0238040005
Tumor
-0.2
CPT0198910005
Tumor
-0.2
CPT0083270003
Tumor
-0.2
CPT0025750003
Tumor
-0.2
CPT0126160004
Tumor
-0.2
CPT0203850004
Tumor
-0.2
CPT0183770004
Normal
-0.2
CPT0246260004
Tumor
-0.2
CPT0183750005
Tumor
-0.2
CPT0226600004
Tumor
-0.2
CPT0347760002
Normal
-0.2
CPT0081060004
Tumor
-0.2
CPT0088180004
Tumor
-0.2
CPT0207990004
Normal
-0.2
CPT0246840003
Tumor
-0.2
CPT0109200004
Tumor
-0.2
CPT0078160004
Tumor
-0.2
CPT0197420004
Tumor
-0.2
CPT0246810003
Tumor
-0.2
CPT0208850004
Normal
-0.2
CPT0008750003
Tumor
-0.2
CPT0094030003
Tumor
-0.2
CPT0246720003
Tumor
-0.2
CPT0236710004
Normal
-0.2
CPT0166760004
Tumor
-0.3
CPT0094630004
Tumor
-0.3
CPT0094940004
Tumor
-0.3
KoreanReference1
Tumor
-0.3
CPT0162660004
Tumor
-0.3
CPT0094740004
Tumor
-0.3
CPT0246990003
Tumor
-0.3
CPT0355180003
Normal
-0.3
KoreanReference3
Tumor
-0.3
CPT0093930004
Tumor
-0.3
CPT0236700005
Tumor
-0.3
CPT0246220004
Normal
-0.3
CPT0138990003
Normal
-0.3
CPT0198420004
Tumor
-0.3
CPT0224460004
Tumor
-0.3
CPT0109300004
Tumor
-0.3
KoreanReference2
Tumor
-0.4
WU-PDA1
Tumor
-0.4
CPT0226530004
Tumor
-0.4
CPT0217700004
Tumor
-0.4
CPT0239910004
Tumor
-0.4
CPT0078090004
Tumor
-0.5
CPT0226680005
Tumor
-0.5
CPT0127270003
Tumor
-0.5
CPT0226760004
Tumor
-0.5
CPT0008800003
Tumor
-0.5
CPT0247000003
Normal
-0.5
CPT0088260004
Tumor
-0.5
CPT0221240004
Tumor
-0.5
CPT0238820005
Tumor
-0.6
CPT0246210004
Tumor
-0.6
CPT0238530005
Tumor
-0.6
CPT0124610004
Tumor
-0.6
CPT0226610004
Normal
-0.6
CPT0087890004
Tumor
-0.6
CPT0064570003
Normal
-0.6
CPT0109010004
Tumor
-0.6
CPT0236340004
Tumor
-0.6
CPT0187550004
Tumor
-0.7
CPT0247040003
Tumor
-0.7
CPT0187930005
Tumor
-0.7
CPT0000250017
Tumor
-0.7
CPT0237270005
Tumor
-0.7
CPT0227930004
Tumor
-0.7
CPT0161990005
Tumor
-0.8
CPT0078030003
Normal
-0.8
CPT0197440004
Normal
-0.8
CPT0185920004
Tumor
-0.8
CPT0162760003
Tumor
-0.8
CPT0065570003
Tumor
-0.9
CPT0248410004
Tumor
-0.9
CPT0226490004
Tumor
-0.9
CPT0108400003
Tumor
-1.0
CPT0077930004
Tumor
-1.1
C3L-00401-04
Normal
-1.2
CPT0125090003
Tumor
-1.2
CPT0174800003
Normal
-1.3
CPT0247050003
Normal
N/A
CPT0108410003
Normal
N/A
CPT0248320003
Normal
N/A
CPT0166650006
Tumor
N/A
CPT0224470004
Normal
N/A
C3L-01687-04
Normal
N/A
CPT0138890003
Normal
N/A
CPT0109110004
Tumor
N/A
WU-pooled sample
Tumor
N/A
CPT0014060003
Normal
N/A
CPT0109130003
Normal
N/A
CPT0138900004
Tumor
N/A
CPT0166680004
Normal
N/A
CPT0094760003
Normal
N/A
CPT0186050004
Normal
N/A
CPT0237290004
Normal
N/A
CPT0264180003
Normal
N/A
CPT0063990003
Normal
N/A
CPT0126200003
Normal
N/A
CPT0198730004
Normal
N/A
Show allShow less
PANCREATIC CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
