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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).
PKM 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.
: 207.05
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
173.7
Number of samples
176
Samples
Sample
Description
FPKM
TCGA-H6-8124-01A
56 years, female, white, stage:iib, alive, 392 days
578.3
TCGA-3A-A9J0-01A
75 years, male, white, stage:iib, alive, 743 days
514.9
TCGA-HZ-8005-01A
81 years, male, white, stage:iib, dead, 120 days
396.9
TCGA-3A-A9IH-01A
66 years, female, white, stage:ia, alive, 1021 days
370.1
TCGA-2J-AABO-01A
43 years, male, white, stage:iib, alive, 440 days
352.8
TCGA-YY-A8LH-01A
61 years, female, white, stage:iib, alive, 2016 days
344.7
TCGA-2J-AABU-01A
56 years, male, white, stage:iib, dead, 277 days
338.1
TCGA-F2-A7TX-01A
77 years, male, white, stage:iib, dead, 95 days
329.1
TCGA-FB-AAPQ-01A
65 years, male, white, stage:iib, dead, 1130 days
328.9
TCGA-3A-A9IZ-01A
47 years, male, white, stage:iib, dead, 308 days
310.5
TCGA-IB-A5SS-01A
64 years, female, white, stage:iib, dead, 460 days
309.3
TCGA-IB-A7LX-01A
57 years, male, white, stage:iib, dead, 250 days
304.3
TCGA-IB-A6UF-01A
63 years, male, white, stage:iib, alive, 666 days
292.7
TCGA-FB-AAQ1-01A
49 years, male, white, stage:iib, dead, 123 days
286.6
TCGA-2L-AAQE-01A
56 years, male, white, stage:iib, dead, 684 days
285.8
TCGA-HV-A7OL-01A
70 years, male, asian, stage:iia, alive, 252 days
283.3
TCGA-HZ-A49I-01A
77 years, male, white, stage:iib, dead, 308 days
280.7
TCGA-FB-AAQ2-01A
81 years, female, white, stage:iib, dead, 153 days
278.9
TCGA-2L-AAQI-01A
66 years, male, white, stage:iib, dead, 103 days
277.8
TCGA-2J-AABP-01A
58 years, female, white, stage:iib, alive, 463 days
271.6
TCGA-2J-AAB6-01A
75 years, male, white, stage:iia, dead, 293 days
270.1
TCGA-FB-AAQ6-01A
85 years, male, white, stage:ia, dead, 244 days
269.2
TCGA-HZ-7919-01A
52 years, female, white, stage:iib, dead, 593 days
259.1
TCGA-IB-AAUU-01A
35 years, male, white, stage:iib, alive, 245 days
255.1
TCGA-3A-A9IU-01A
65 years, male, white, stage:iib, dead, 458 days
255.0
TCGA-IB-AAUN-01A
74 years, female, white, stage:ib, dead, 144 days
254.8
TCGA-HZ-7922-01A
61 years, female, white, stage:iib, alive, 4 days
254.7
TCGA-HZ-A77O-01A
77 years, female, white, stage:iib, dead, 160 days
248.6
TCGA-2J-AABI-01A
55 years, female, white, stage:iia, alive, 969 days
248.0
TCGA-HZ-A4BH-01A
75 years, male, white, stage:iib, alive, 194 days
244.2
TCGA-FB-AAPU-01A
41 years, female, asian, stage:iia, dead, 381 days
240.1
TCGA-FB-A545-01A
72 years, female, white, stage:iib, dead, 732 days
239.1
TCGA-FB-A5VM-01A
74 years, male, white, stage:ib, dead, 498 days
238.6
TCGA-IB-AAUO-01A
64 years, female, white, stage:iib, dead, 239 days
234.0
TCGA-IB-AAUQ-01A
50 years, male, white, stage:iib, dead, 183 days
230.1
TCGA-OE-A75W-01A
75 years, male, white, stage:iia, dead, 267 days
229.9
TCGA-F2-A44G-01A
79 years, female, white, stage:iib, dead, 233 days
227.0
TCGA-2J-AABA-01A
55 years, male, white, stage:iib, dead, 607 days
224.3
TCGA-PZ-A5RE-01A
44 years, female, white, stage:iib, dead, 470 days
221.2
TCGA-Q3-AA2A-01A
64 years, female, white, stage:ib, alive, 95 days
218.4
TCGA-IB-7651-01A
64 years, female, white, stage:iib, dead, 603 days
216.2
TCGA-HV-AA8X-01A
75 years, female, asian, stage:iib, dead, 532 days
215.4
TCGA-S4-A8RO-01A
75 years, female, white, stage:iib, alive, 525 days
214.2
TCGA-HV-A5A5-01A
61 years, female, asian, stage:iib, alive, 289 days
213.9
TCGA-3A-A9IB-01A
69 years, female, white, stage:iib, dead, 224 days
212.4
TCGA-FB-A78T-01A
71 years, female, white, stage:iib, dead, 375 days
211.8
TCGA-FB-AAQ0-01A
68 years, male, white, stage:iia, dead, 473 days
211.6
TCGA-2L-AAQA-01A
76 years, male, white, stage:iib, dead, 143 days
210.7
TCGA-FB-AAPY-01A
71 years, male, white, stage:iib, dead, 1059 days
209.7
TCGA-IB-7887-01A
62 years, female, white, stage:iib, dead, 110 days
208.6
TCGA-2L-AAQM-01A
52 years, male, white, stage:iib, alive, 1383 days
205.5
TCGA-IB-7893-01A
64 years, male, white, stage:iia, dead, 117 days
205.5
TCGA-RB-A7B8-01A
81 years, female, white, stage:iib, dead, 466 days
205.3
TCGA-YB-A89D-01A
59 years, male, white, stage:iib, alive, 350 days
204.3
TCGA-IB-7885-01A
78 years, female, white, stage:iib, alive, 1257 days
202.6
TCGA-2J-AAB8-01A
71 years, male, white, stage:iib, alive, 80 days
201.3
TCGA-XD-AAUL-01A
56 years, male, white, stage:iia, alive, 498 days
199.4
TCGA-RB-AA9M-01A
43 years, male, white, stage:iib, alive, 286 days
198.2
TCGA-2J-AAB4-01A
48 years, male, white, stage:iib, alive, 729 days
197.7
TCGA-IB-7890-01A
73 years, male, stage:ib, dead, 598 days
196.9
TCGA-IB-7889-01A
86 years, female, white, stage:iib, dead, 481 days
196.1
TCGA-S4-A8RP-01A
77 years, female, white, stage:iib, dead, 702 days
195.8
TCGA-IB-7646-01A
60 years, male, white, stage:iib, dead, 145 days
193.0
TCGA-HZ-8001-01A
69 years, male, white, stage:iii, alive, 706 days
192.3
TCGA-XN-A8T3-01A
67 years, male, white, stage:ib, alive, 951 days
191.2
TCGA-3A-A9I5-01A
58 years, male, white, alive, 1794 days
190.3
TCGA-IB-A5SQ-01A
56 years, female, white, stage:ib, dead, 219 days
188.5
TCGA-IB-A5SP-01A
77 years, male, white, stage:iia, alive, 482 days
188.4
TCGA-IB-AAUP-01A
68 years, male, white, stage:iib, alive, 431 days
188.2
TCGA-IB-7886-01A
80 years, male, white, stage:iib, dead, 123 days
187.2
TCGA-XD-AAUI-01A
50 years, female, white, stage:iib, dead, 366 days
184.4
TCGA-IB-A5SO-01A
71 years, male, white, stage:iib, dead, 365 days
184.2
TCGA-HZ-8636-01A
58 years, female, white, stage:iv, dead, 545 days
181.8
TCGA-3A-A9IC-01A
61 years, female, white, stage:iib, dead, 738 days
180.9
TCGA-2J-AABE-01A
73 years, male, white, stage:iia, alive, 676 days
180.6
TCGA-2L-AAQJ-01A
49 years, female, white, stage:iii, dead, 394 days
177.9
TCGA-2J-AABK-01A
71 years, male, white, stage:iib, alive, 484 days
176.4
TCGA-HV-A5A6-01A
65 years, female, asian, stage:iib, dead, 2036 days
173.9
TCGA-IB-8127-01A
59 years, male, white, stage:iib, alive, 522 days
171.8
TCGA-HV-AA8V-01A
50 years, male, asian, stage:iib, alive, 920 days
170.2
TCGA-2J-AABF-01A
73 years, male, white, stage:iib, dead, 691 days
168.2
TCGA-2L-AAQL-01A
82 years, male, white, stage:iib, dead, 292 days
166.5
TCGA-3E-AAAY-01A
67 years, male, white, stage:iib, alive, 2285 days
160.6
TCGA-YH-A8SY-01A
73 years, female, white, alive, 388 days
160.2
TCGA-HV-A5A4-01A
72 years, female, asian, stage:iia, alive, 232 days
158.7
TCGA-US-A774-01A
76 years, female, white, stage:iib, dead, 695 days
158.3
TCGA-IB-AAUS-01A
84 years, female, white, stage:iib, alive, 225 days
157.6
TCGA-HV-A5A3-01A
50 years, male, asian, stage:iia, dead, 128 days
156.8
TCGA-IB-A6UG-01A
65 years, male, white, stage:iib, dead, 41 days
156.5
TCGA-HZ-A77Q-01A
55 years, female, white, stage:iib, alive, 33 days
156.2
TCGA-HZ-A4BK-01A
72 years, male, white, stage:iib, alive, 657 days
154.8
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:iib, alive, 1323 days
154.6
TCGA-IB-7645-01A
44 years, female, stage:iib, dead, 1502 days
151.9
TCGA-IB-7891-01A
49 years, female, white, stage:iib, dead, 913 days
150.9
TCGA-HZ-A49G-01A
58 years, female, white, stage:iib, alive, 660 days
150.9
TCGA-FB-AAPZ-01A
54 years, male, white, stage:iib, alive, 716 days
150.5
TCGA-US-A779-01A
54 years, female, white, stage:iib, dead, 511 days
148.3
TCGA-HZ-8315-01A
54 years, female, white, stage:iia, dead, 299 days
148.2
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:iib, dead, 393 days
146.5
TCGA-HZ-7925-01A
66 years, male, white, stage:iib, dead, 614 days
143.6
TCGA-3A-A9IJ-01A
65 years, male, white, stage:ib, alive, 1854 days
141.7
TCGA-FB-A4P5-01A
69 years, female, white, stage:iib, dead, 179 days
141.7
TCGA-M8-A5N4-01A
48 years, female, stage:iia, alive, 584 days
141.7
TCGA-H6-A45N-01A
88 years, female, white, stage:iib, dead, 421 days
141.1
TCGA-IB-7652-01A
49 years, female, asian, stage:iib, alive, 1116 days
140.6
TCGA-2J-AAB9-01A
71 years, female, white, stage:iib, dead, 627 days
139.6
TCGA-3A-A9IO-01A
56 years, male, white, alive, 1942 days
139.1
TCGA-2J-AABR-01A
60 years, female, white, stage:iia, alive, 438 days
138.7
TCGA-IB-A7M4-01A
81 years, male, white, stage:iib, alive, 483 days
138.2
TCGA-HZ-A8P1-01A
81 years, male, white, stage:ib, alive, 7 days
137.3
TCGA-3E-AAAZ-01A
71 years, male, white, stage:iia, dead, 2182 days
135.5
TCGA-XN-A8T5-01A
53 years, female, white, stage:ib, alive, 720 days
135.0
TCGA-2J-AAB1-01A
65 years, male, white, stage:iib, dead, 66 days
132.9
TCGA-IB-7888-01A
66 years, female, black or african american, stage:iia, dead, 1332 days
132.0
TCGA-F2-A44H-01A
65 years, male, white, stage:iia, alive, 586 days
131.8
TCGA-F2-A8YN-01A
76 years, male, white, stage:iia, alive, 517 days
130.0
TCGA-RL-AAAS-01A
60 years, female, white, stage:ib, alive, 9 days
129.5
TCGA-L1-A7W4-01A
48 years, female, white, stage:iib, dead, 278 days
129.3
TCGA-F2-6879-01A
57 years, male, white, stage:iib, dead, 334 days
129.1
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:iv, alive, 603 days
128.3
TCGA-S4-A8RM-01A
67 years, male, white, stage:iib, alive, 737 days
125.8
TCGA-HZ-8638-01A
84 years, female, white, stage:ia, dead, 151 days
123.7
TCGA-2J-AABH-01A
61 years, male, white, stage:iia, alive, 1287 days
123.4
TCGA-US-A77E-01A
73 years, male, white, stage:iib, dead, 430 days
122.9
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:iia, alive, 379 days
122.2
TCGA-IB-7649-01A
73 years, female, stage:iib, dead, 467 days
122.0
TCGA-US-A77G-01A
64 years, male, white, stage:iib, dead, 12 days
119.6
TCGA-FB-AAPS-01A
62 years, female, white, stage:iib, alive, 228 days
119.6
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:iib, dead, 518 days
119.4
TCGA-FB-AAQ3-01A
65 years, female, white, stage:iib, dead, 31 days
116.8
TCGA-3A-A9IL-01A
39 years, female, white, stage:i, alive, 2741 days
114.5
TCGA-Q3-A5QY-01A
58 years, male, white, stage:iib, alive, 416 days
114.4
TCGA-HZ-8002-01A
61 years, male, white, stage:iib, dead, 366 days
113.4
TCGA-IB-A5ST-01A
64 years, female, white, stage:iib, alive, 635 days
111.9
TCGA-HZ-7920-01A
71 years, male, white, stage:ib, dead, 236 days
111.6
TCGA-US-A77J-01A
81 years, female, white, stage:iib, dead, 568 days
111.5
TCGA-IB-AAUR-01A
67 years, male, white, stage:iib, alive, 338 days
110.7
TCGA-HZ-7923-01A
65 years, male, white, stage:iia, alive, 314 days
110.2
TCGA-3A-A9IX-01A
40 years, male, white, stage:ia, alive, 1037 days
109.4
TCGA-H8-A6C1-01A
53 years, male, white, stage:iia, alive, 671 days
108.0
TCGA-IB-AAUT-01A
65 years, male, white, stage:iib, alive, 287 days
106.9
TCGA-HV-A7OP-01A
72 years, male, asian, stage:iib, alive, 978 days
106.0
TCGA-Z5-AAPL-01A
74 years, female, white, stage:iia, alive, 467 days
105.8
TCGA-XD-AAUG-01A
66 years, female, white, stage:iv, alive, 420 days
104.6
TCGA-IB-7644-01A
65 years, female, white, stage:iv, dead, 394 days
104.6
TCGA-XD-AAUH-01A
57 years, female, white, stage:iib, alive, 395 days
104.5
TCGA-FB-A4P6-01A
54 years, male, white, stage:iib, alive, 767 days
100.7
TCGA-HZ-8637-01A
76 years, female, white, stage:iib, dead, 517 days
100.5
TCGA-HZ-7924-01A
60 years, female, white, stage:iia, alive, 840 days
98.7
TCGA-HZ-8519-01A
73 years, male, white, stage:ia, alive, 454 days
98.6
TCGA-F2-7276-01A
64 years, male, white, stage:iib, dead, 216 days
97.8
TCGA-FB-A7DR-01A
48 years, male, asian, stage:iia, dead, 353 days
97.0
TCGA-HZ-7918-01A
72 years, male, white, stage:iib, alive, 969 days
97.0
TCGA-3A-A9IV-01A
59 years, female, white, stage:ib, alive, 1103 days
96.8
TCGA-LB-A9Q5-01A
63 years, female, white, stage:iib, dead, 313 days
96.4
TCGA-IB-7897-01A
54 years, female, white, stage:iib, dead, 486 days
96.1
TCGA-HZ-A77P-01A
77 years, male, white, stage:iib, alive, 330 days
94.1
TCGA-3A-A9I9-01A
67 years, male, white, stage:iia, dead, 634 days
91.6
TCGA-IB-7654-01A
80 years, male, white, stage:iib, dead, 476 days
87.6
TCGA-2J-AABT-01A
72 years, female, white, stage:iib, alive, 319 days
86.7
TCGA-HZ-8317-01A
69 years, female, white, stage:iib, dead, 378 days
85.8
TCGA-IB-AAUW-01A
63 years, female, white, stage:iib, dead, 230 days
84.6
TCGA-3A-A9IR-01A
64 years, female, white, stage:ib, alive, 1542 days
84.5
TCGA-F2-7273-01A
54 years, male, black or african american, stage:iib, dead, 592 days
84.1
TCGA-3A-A9IN-01A
62 years, female, white, stage:ib, alive, 2084 days
84.1
TCGA-HZ-A49H-01A
68 years, female, white, stage:iib, alive, 491 days
81.7
TCGA-IB-AAUV-01A
49 years, male, white, stage:iib, alive, 404 days
74.7
TCGA-HZ-7289-01A
77 years, male, white, stage:iib, dead, 661 days
70.2
TCGA-FB-AAPP-01A
71 years, male, white, stage:iib, dead, 485 days
62.9
TCGA-US-A776-01A
61 years, male, white, stage:iia, alive, 1216 days
62.8
TCGA-3A-A9IS-01A
67 years, male, white, stage:ib, alive, 998 days
60.9
TCGA-HZ-8003-01A
65 years, female, white, stage:iib, dead, 596 days
57.6
TCGA-IB-AAUM-01A
76 years, male, white, stage:iib, alive, 8 days
55.3
TCGA-IB-8126-01A
80 years, female, white, stage:iii, alive, 462 days
32.8
TCGA-2J-AABV-01A
74 years, male, white, stage:iib, dead, 652 days
29.6
TCGA-F2-6880-01A
70 years, male, white, stage:iib, alive, 289 days
16.7
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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