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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).
KRT8 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.
: 258
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
386.7
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
954.7
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
945.7
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
901.9
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
894.9
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
870.1
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
841.5
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
819.6
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
811.1
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
808.5
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
799.5
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
770.0
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
763.7
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
762.7
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
755.8
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
742.8
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
703.8
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
695.5
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
689.1
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
685.3
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
683.2
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
660.1
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
652.0
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
648.6
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
643.5
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
642.9
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
640.8
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
627.7
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
612.7
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
610.0
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
607.3
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
603.7
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
588.1
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
586.3
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
575.5
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
572.5
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
569.9
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
564.5
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
564.0
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
562.8
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
552.3
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
548.1
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
546.8
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
543.6
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
538.5
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
526.0
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
516.3
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
511.3
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
506.4
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
504.7
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
500.3
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
500.3
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
497.7
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
496.0
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
492.3
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
491.6
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
478.4
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
476.1
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
474.9
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
473.2
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
461.9
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
460.5
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
458.8
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
453.7
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
450.6
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
450.5
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
450.0
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
447.4
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
447.1
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
445.0
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
437.8
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
431.9
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
425.0
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
421.6
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
420.9
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
419.9
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
396.5
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
396.1
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
395.0
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
394.9
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
392.9
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
376.9
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
375.8
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
372.5
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
372.5
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
369.4
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
368.5
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
367.5
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
364.9
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
362.1
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
359.1
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
358.3
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
354.7
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
354.5
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
350.7
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
346.8
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
340.8
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
335.2
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
325.3
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
325.2
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
323.5
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
322.1
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
321.5
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
318.4
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
318.1
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
316.4
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
306.3
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
303.1
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
296.0
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
290.3
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
289.5
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
287.6
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
284.8
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
284.1
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
282.1
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
275.9
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
271.2
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
269.3
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
267.6
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
266.4
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
266.4
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
259.8
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
258.6
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
257.4
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
255.9
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
250.0
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
243.1
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
242.6
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
227.8
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
221.2
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
218.8
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
216.6
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
211.0
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
210.2
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
208.4
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
196.9
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
194.0
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
192.0
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
189.6
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
185.8
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
181.7
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
177.0
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
175.9
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
175.0
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
164.3
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
162.9
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
160.4
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
158.4
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
157.4
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
150.0
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
142.5
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
141.6
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
140.3
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
136.3
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
133.7
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
127.6
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
123.7
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
121.6
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
121.3
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
118.8
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
114.8
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
103.7
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
100.8
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
92.3
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
88.9
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
84.0
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
80.7
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
75.9
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
73.1
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
67.4
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
67.0
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
65.0
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
64.6
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
58.3
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
54.2
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
40.5
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
23.7
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
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