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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 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.
S100P is prognostic, high expression is unfavourable in pancreatic cancer
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 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
216.6
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
1793.7
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
898.5
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
862.4
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
830.9
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
784.9
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
725.5
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
720.0
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
676.0
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
669.9
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
666.7
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
655.7
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
652.3
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
602.8
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
540.6
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
531.7
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
529.5
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
526.5
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
515.5
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
488.6
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
483.1
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
453.2
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
449.5
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
439.6
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
436.0
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
418.7
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
416.6
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
410.5
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
396.8
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
390.1
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
388.9
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
381.9
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
375.9
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
374.0
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
368.8
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
342.6
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
327.9
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
327.2
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
318.8
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
317.9
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
316.1
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
312.8
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
310.4
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
305.9
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
304.6
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
304.2
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
292.3
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
287.2
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
285.0
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
284.0
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
280.8
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
280.1
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
278.5
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
276.1
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
271.3
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
268.3
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
266.6
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
265.9
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
265.0
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
263.4
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
255.1
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
247.3
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
241.4
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
233.3
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
230.2
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
225.9
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
225.3
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
221.0
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
219.0
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
216.2
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
216.1
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
215.6
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
211.6
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
211.0
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
210.3
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
202.8
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
201.2
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
197.0
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
194.9
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
189.5
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
189.2
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
185.8
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
177.1
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
175.8
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
171.9
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
169.6
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
168.9
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
164.6
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
158.0
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
157.0
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
156.8
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
149.9
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
148.2
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
143.7
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
142.9
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
141.7
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
131.3
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
127.5
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
122.4
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
117.5
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
116.4
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
110.7
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
104.9
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
104.6
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
104.5
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
103.3
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
103.0
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
101.8
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
99.0
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
98.8
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
94.7
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
93.8
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
92.1
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
85.0
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
84.4
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
79.3
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
75.1
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
74.4
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
73.5
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
70.5
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
68.5
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
66.7
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
64.6
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
63.2
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
61.3
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
60.3
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
59.3
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
59.1
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
58.0
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
55.0
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
53.8
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
51.8
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
51.1
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
50.0
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
49.3
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
49.1
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
47.6
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
47.5
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
45.7
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
44.8
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
44.0
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
41.5
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
35.5
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
35.3
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
32.3
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
30.7
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
30.4
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
28.3
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
26.8
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
24.3
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
22.1
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
21.0
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
20.0
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
15.3
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
12.1
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
11.4
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
9.6
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
7.2
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
4.9
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
4.6
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
3.7
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
3.4
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
2.4
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
1.4
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
1.2
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
1.0
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
0.5
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
0.4
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
0.4
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
0.3
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
0.2
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
0.2
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
0.1
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
0.1
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
0.1
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
0.1
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
0.0
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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. This score is based on the staining intensity and fraction of stained cells.
The Human Protein Atlas project is funded
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