We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
PANCREATIC CANCER - Interactive survival scatter ploti
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 interactive Survival Scatter plot allows for the cutoff to be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Survival analysis". Under the Survival Scatter plot the p-score landscape is shown together with the difference in median between survival time for patients who have died with respect to high and low expression. This is intended to aid the user in exploring custom cutoffs.
Individual patient data is displayed in an interactive plot 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).
KRT19 is prognostic, high expression is unfavourable in pancreatic cancer
Stage:
Survival analysis
Current cut off: Best expression cut offi
Based on the FPKM value of each gene, we classified the patients into two groups and examined their prognoses. In the analysis, we excluded genes with low expression, i.e., those with a median expression among samples less than FPKM 1. The prognosis of each group of patients was examined by Kaplan-Meier survival estimators, and the survival outcomes of the two groups were compared by log-rank tests. To choose the best FPKM cut-offs for grouping the patients most significantly, all FPKM values from the 20th to 80th percentiles were used to group the patients, significant differences in the survival outcomes of the groups were examined and the value yielding the lowest log-rank P value is selected.
: 334.25
Median expression: N/A
Median follow up time: 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 median 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 FPKM
725.2
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
2480.5
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
2333.8
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
2237.7
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
2035.4
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
1833.2
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
1817.4
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
1771.6
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
1634.9
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
1597.3
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
1592.9
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
1583.7
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
1557.8
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
1545.9
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
1520.7
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
1476.2
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
1461.2
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
1427.9
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
1404.8
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
1402.4
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
1361.6
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
1358.9
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
1335.7
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
1324.8
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
1310.1
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
1307.8
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
1303.6
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
1279.0
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
1228.6
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
1219.2
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
1208.9
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
1166.0
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
1162.8
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
1156.4
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
1144.8
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
1104.2
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
1081.4
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
1077.4
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
1074.2
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
1063.0
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
1050.3
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
1038.5
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
1033.0
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
1029.2
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
1026.6
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
1016.2
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
1015.3
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
1009.0
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
1003.8
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
994.0
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
992.1
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
983.4
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
976.5
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
939.4
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
939.3
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
925.8
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
918.8
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
906.3
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
898.2
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
893.6
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
893.5
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
887.8
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
872.2
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
849.8
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
829.1
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
807.9
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
805.5
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
800.6
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
791.4
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
787.7
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
779.7
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
758.7
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
756.0
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
756.0
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
752.2
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
741.8
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
738.1
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
731.2
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
726.6
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
724.0
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
723.4
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
709.4
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
694.6
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
686.7
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
675.7
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
668.3
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
643.6
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
639.6
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
632.4
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
623.7
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
623.3
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
620.7
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
612.0
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
611.3
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
606.9
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
597.3
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
578.4
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
576.5
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
571.9
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
571.5
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
570.2
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
560.5
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
559.5
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
552.5
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
551.8
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
544.9
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
544.1
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
536.6
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
533.2
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
527.2
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
523.5
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
507.5
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
489.3
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
488.8
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
487.5
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
470.3
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
469.6
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
466.1
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
461.6
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
442.0
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
418.8
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
418.1
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
408.8
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
398.4
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
392.2
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
382.4
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
376.4
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
374.7
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
349.4
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
343.7
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
337.1
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
331.4
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
318.6
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
314.2
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
304.9
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
300.0
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
290.8
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
284.3
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
284.0
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
274.3
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
272.7
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
271.5
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
259.2
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
257.8
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
254.7
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
254.0
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
247.2
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
235.9
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
229.1
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
223.1
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
222.8
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
222.4
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
221.2
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
218.2
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
199.9
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
190.6
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
188.4
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
168.3
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
167.2
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
165.7
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
162.2
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
136.1
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
131.5
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
103.3
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
102.6
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
73.4
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
61.6
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
49.4
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
47.3
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
30.6
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
19.2
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
16.4
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
15.7
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
8.6
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
2.6
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
2.1
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
0.2
Show all
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
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).
The Human Protein Atlas project is funded
MENU
