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.
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.
FTL is not prognostic 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 pTPM
5469.2
Number of samples
176
Samples
Sample
Description
pTPM
TCGA-IB-AAUS-01A
84 years, female, white, stage:Stage IIB, alive, 225 days
26294.5
TCGA-2J-AABP-01A
58 years, female, white, stage:Stage IIB, alive, 463 days
14489.0
TCGA-IB-AAUV-01A
49 years, male, white, stage:Stage IIB, alive, 404 days
14007.4
TCGA-HZ-A9TJ-01A
70 years, male, white, stage:Stage IV, alive, 603 days
13145.8
TCGA-PZ-A5RE-01A
44 years, female, white, stage:Stage IIB, dead, 470 days
11710.3
TCGA-2J-AAB6-01A
75 years, male, white, stage:Stage IIA, dead, 293 days
11304.8
TCGA-IB-7645-01A
44 years, female, stage:Stage IIB, dead, 1502 days
11194.0
TCGA-HZ-A77Q-01A
55 years, female, white, stage:Stage IIB, alive, 33 days
10117.0
TCGA-FB-AAPY-01A
71 years, male, white, stage:Stage IIB, dead, 1059 days
9632.5
TCGA-HZ-8001-01A
69 years, male, white, stage:Stage III, alive, 706 days
9539.4
TCGA-HV-A7OL-01A
70 years, male, asian, stage:Stage IIA, alive, 252 days
9138.8
TCGA-FB-AAPS-01A
62 years, female, white, stage:Stage IIB, alive, 228 days
9087.8
TCGA-2J-AABF-01A
73 years, male, white, stage:Stage IIB, dead, 691 days
8611.1
TCGA-IB-7885-01A
78 years, female, white, stage:Stage IIB, alive, 1257 days
8587.0
TCGA-IB-A5SS-01A
64 years, female, white, stage:Stage IIB, dead, 460 days
8568.0
TCGA-2L-AAQL-01A
82 years, male, white, stage:Stage IIB, dead, 292 days
8453.7
TCGA-IB-7652-01A
49 years, female, asian, stage:Stage IIB, alive, 1116 days
8408.0
TCGA-HZ-8005-01A
81 years, male, white, stage:Stage IIB, dead, 120 days
8183.3
TCGA-3E-AAAY-01A
67 years, male, white, stage:Stage IIB, alive, 2285 days
8104.9
TCGA-IB-AAUT-01A
65 years, male, white, stage:Stage IIB, alive, 287 days
8066.5
TCGA-3A-A9IC-01A
61 years, female, white, stage:Stage IIB, dead, 738 days
8063.4
TCGA-Q3-AA2A-01A
64 years, female, white, stage:Stage IB, alive, 95 days
7990.2
TCGA-HZ-8637-01A
76 years, female, white, stage:Stage IIB, dead, 517 days
7749.0
TCGA-IB-A5SO-01A
71 years, male, white, stage:Stage IIB, dead, 365 days
7684.0
TCGA-RB-A7B8-01A
81 years, female, white, stage:Stage IIB, dead, 466 days
7635.4
TCGA-IB-A5SQ-01A
56 years, female, white, stage:Stage IB, dead, 219 days
7629.4
TCGA-IB-7886-01A
80 years, male, white, stage:Stage IIB, dead, 123 days
7594.2
TCGA-IB-7887-01A
62 years, female, white, stage:Stage IIB, dead, 110 days
7272.4
TCGA-2J-AABE-01A
73 years, male, white, stage:Stage IIA, alive, 676 days
7209.3
TCGA-3A-A9IB-01A
69 years, female, white, stage:Stage IIB, dead, 224 days
7187.8
TCGA-M8-A5N4-01A
48 years, female, stage:Stage IIA, alive, 584 days
7135.1
TCGA-XD-AAUL-01A
56 years, male, white, stage:Stage IIA, alive, 498 days
7117.2
TCGA-F2-A44G-01A
79 years, female, white, stage:Stage IIB, dead, 233 days
7082.2
TCGA-HZ-A49G-01A
58 years, female, white, stage:Stage IIB, alive, 660 days
7069.9
TCGA-2J-AABT-01A
72 years, female, white, stage:Stage IIB, alive, 319 days
7024.5
TCGA-HZ-7918-01A
72 years, male, white, stage:Stage IIB, alive, 969 days
6924.3
TCGA-IB-7893-01A
64 years, male, white, stage:Stage IIA, dead, 117 days
6920.3
TCGA-FB-A7DR-01A
48 years, male, asian, stage:Stage IIA, dead, 353 days
6832.2
TCGA-IB-7891-01A
49 years, female, white, stage:Stage IIB, dead, 913 days
6801.4
TCGA-3A-A9J0-01A
75 years, male, white, stage:Stage IIB, alive, 743 days
6776.3
TCGA-IB-A5ST-01A
64 years, female, white, stage:Stage IIB, alive, 635 days
6772.6
TCGA-F2-A8YN-01A
76 years, male, white, stage:Stage IIA, alive, 517 days
6761.0
TCGA-HV-AA8V-01A
50 years, male, asian, stage:Stage IIB, alive, 920 days
6730.3
TCGA-OE-A75W-01A
75 years, male, white, stage:Stage IIA, dead, 267 days
6724.8
TCGA-Q3-A5QY-01A
58 years, male, white, stage:Stage IIB, alive, 416 days
6693.7
TCGA-FB-A78T-01A
71 years, female, white, stage:Stage IIB, dead, 375 days
6602.3
TCGA-3A-A9I5-01A
57 years, male, white, stage:'--, alive, 1794 days
6579.5
TCGA-HZ-7925-01A
66 years, male, white, stage:Stage IIB, dead, 614 days
6537.6
TCGA-IB-7646-01A
60 years, male, white, stage:Stage IIB, dead, 145 days
6493.0
TCGA-US-A774-01A
76 years, female, white, stage:Stage IIB, dead, 695 days
6476.4
TCGA-HZ-7923-01A
65 years, male, white, stage:Stage IIA, alive, 314 days
6448.2
TCGA-US-A77J-01A
81 years, female, white, stage:Stage IIB, dead, 568 days
6427.0
TCGA-IB-7651-01A
64 years, female, white, stage:Stage IIB, dead, 603 days
6397.7
TCGA-YH-A8SY-01A
73 years, female, white, stage:'--, alive, 388 days
6385.3
TCGA-FB-A4P5-01A
69 years, female, white, stage:Stage IIB, dead, 179 days
6361.0
TCGA-FB-A5VM-01A
74 years, male, white, stage:Stage IB, dead, 498 days
6327.9
TCGA-FB-AAPZ-01A
54 years, male, white, stage:Stage IIB, alive, 716 days
6210.9
TCGA-HV-A5A5-01A
61 years, female, asian, stage:Stage IIB, alive, 289 days
6158.7
TCGA-IB-8127-01A
59 years, male, white, stage:Stage IIB, alive, 522 days
6140.9
TCGA-3A-A9IU-01A
65 years, male, white, stage:Stage IIB, dead, 458 days
6106.7
TCGA-F2-6879-01A
57 years, male, white, stage:Stage IIB, dead, 334 days
6081.6
TCGA-US-A779-01A
54 years, female, white, stage:Stage IIB, dead, 511 days
6030.8
TCGA-HZ-8002-01A
61 years, male, white, stage:Stage IIB, dead, 366 days
6022.3
TCGA-HZ-A77P-01A
77 years, male, white, stage:Stage IIB, alive, 330 days
5975.3
TCGA-IB-7888-01A
66 years, female, black or african american, stage:Stage IIA, dead, 1332 days
5945.4
TCGA-IB-7649-01A
73 years, female, stage:Stage IIB, dead, 467 days
5897.5
TCGA-RL-AAAS-01A
60 years, female, white, stage:Stage IB, alive, 9 days
5880.4
TCGA-HZ-A4BK-01A
72 years, male, white, stage:Stage IIB, alive, 657 days
5849.2
TCGA-YB-A89D-01A
59 years, male, white, stage:Stage IIB, alive, 350 days
5813.3
TCGA-F2-A44H-01A
65 years, male, white, stage:Stage IIA, alive, 586 days
5798.7
TCGA-IB-7890-01A
73 years, male, stage:Stage IB, dead, 598 days
5761.3
TCGA-FB-AAQ3-01A
65 years, female, white, stage:Stage IIB, dead, 31 days
5756.3
TCGA-H6-A45N-01A
88 years, female, white, stage:Stage IIB, dead, 397 days
5727.4
TCGA-HZ-8636-01A
58 years, female, white, stage:Stage IV, dead, 545 days
5674.0
TCGA-HZ-7922-01A
61 years, female, white, stage:Stage IIB, alive, 4 days
5649.8
TCGA-IB-A6UF-01A
63 years, male, white, stage:Stage IIB, alive, 666 days
5634.5
TCGA-FB-AAQ1-01A
49 years, male, white, stage:Stage IIB, dead, 123 days
5583.4
TCGA-2J-AABH-01A
61 years, male, white, stage:Stage IIA, alive, 1287 days
5574.8
TCGA-IB-7897-01A
53 years, female, white, stage:Stage IIB, dead, 486 days
5571.1
TCGA-HZ-7920-01A
71 years, male, white, stage:Stage IB, dead, 236 days
5540.8
TCGA-IB-7889-01A
85 years, female, white, stage:Stage IIB, dead, 481 days
5539.7
TCGA-IB-A7M4-01A
81 years, male, white, stage:Stage IIB, alive, 483 days
5513.9
TCGA-S4-A8RO-01A
75 years, female, white, stage:Stage IIB, alive, 525 days
5443.5
TCGA-XN-A8T3-01A
67 years, male, white, stage:Stage IB, alive, 951 days
5412.9
TCGA-IB-AAUP-01A
68 years, male, white, stage:Stage IIB, alive, 431 days
5383.1
TCGA-2J-AAB8-01A
71 years, male, white, stage:Stage IIB, alive, 80 days
5306.8
TCGA-H6-8124-01A
56 years, female, white, stage:Stage IIB, alive, 392 days
5281.7
TCGA-HV-A5A3-01A
50 years, male, asian, stage:Stage IIA, dead, 128 days
5217.9
TCGA-HZ-A4BH-01A
75 years, male, white, stage:Stage IIB, alive, 194 days
5182.9
TCGA-HZ-7919-01A
52 years, female, white, stage:Stage IIB, dead, 593 days
5119.4
TCGA-IB-A5SP-01A
77 years, male, white, stage:Stage IIA, alive, 482 days
5110.8
TCGA-F2-7273-01A
54 years, male, black or african american, stage:Stage IIB, dead, 592 days
5103.1
TCGA-IB-AAUQ-01A
50 years, male, white, stage:Stage IIB, dead, 183 days
5041.0
TCGA-XD-AAUH-01A
57 years, female, white, stage:Stage IIB, alive, 395 days
4888.3
TCGA-S4-A8RP-01A
77 years, female, white, stage:Stage IIB, dead, 702 days
4852.3
TCGA-3A-A9IZ-01A
47 years, male, white, stage:Stage IIB, dead, 308 days
4839.6
TCGA-3A-A9I9-01A
67 years, male, white, stage:Stage IIA, dead, 634 days
4819.2
TCGA-2J-AABR-01A
60 years, female, white, stage:Stage IIA, alive, 438 days
4778.2
TCGA-F2-7276-01A
64 years, male, white, stage:Stage IIB, dead, 216 days
4730.7
TCGA-HV-AA8X-01A
75 years, female, asian, stage:Stage IIB, dead, 532 days
4725.9
TCGA-HV-A5A6-01A
65 years, female, asian, stage:Stage IIB, dead, 2036 days
4722.5
TCGA-IB-AAUR-01A
67 years, male, white, stage:Stage IIB, alive, 338 days
4706.4
TCGA-F2-A7TX-01A
77 years, male, white, stage:Stage IIB, dead, 95 days
4638.6
TCGA-3A-A9I7-01A
45 years, male, black or african american, stage:Stage IIB, alive, 1323 days
4628.1
TCGA-HV-A5A4-01A
72 years, female, asian, stage:Stage IIA, alive, 232 days
4622.7
TCGA-IB-AAUU-01A
35 years, male, white, stage:Stage IIB, alive, 245 days
4611.4
TCGA-2L-AAQJ-01A
49 years, female, white, stage:Stage III, dead, 394 days
4596.9
TCGA-Z5-AAPL-01A
74 years, female, white, stage:Stage IIA, alive, 467 days
4521.5
TCGA-FB-A4P6-01A
54 years, male, white, stage:Stage IIB, alive, 767 days
4515.3
TCGA-XD-AAUI-01A
50 years, female, white, stage:Stage IIB, dead, 366 days
4447.5
TCGA-XD-AAUG-01A
66 years, female, white, stage:Stage IV, alive, 420 days
4442.4
TCGA-HZ-A49I-01A
77 years, male, white, stage:Stage IIB, dead, 308 days
4438.0
TCGA-US-A77E-01A
73 years, male, white, stage:Stage IIB, dead, 430 days
4322.3
TCGA-HZ-8315-01A
54 years, female, white, stage:Stage IIA, dead, 299 days
4310.2
TCGA-HZ-A49H-01A
68 years, female, white, stage:Stage IIB, alive, 491 days
4293.4
TCGA-2J-AABA-01A
55 years, male, white, stage:Stage IIB, dead, 607 days
4200.6
TCGA-HZ-8519-01A
73 years, male, white, stage:Stage IA, alive, 454 days
4094.1
TCGA-FB-AAPQ-01A
65 years, male, white, stage:Stage IIB, dead, 1130 days
3958.4
TCGA-H8-A6C1-01A
53 years, male, white, stage:Stage IIA, alive, 671 days
3943.3
TCGA-XN-A8T5-01A
53 years, female, white, stage:Stage IB, alive, 720 days
3897.8
TCGA-IB-7654-01A
80 years, male, white, stage:Stage IIB, dead, 476 days
3894.4
TCGA-FB-AAQ6-01A
85 years, male, white, stage:Stage IA, dead, 244 days
3863.4
TCGA-2L-AAQM-01A
52 years, male, white, stage:Stage IIB, alive, 1383 days
3834.3
TCGA-YY-A8LH-01A
61 years, female, white, stage:Stage IIB, alive, 2016 days
3827.5
TCGA-IB-AAUW-01A
63 years, female, white, stage:Stage IIB, dead, 230 days
3823.4
TCGA-FB-A545-01A
72 years, female, white, stage:Stage IIB, dead, 732 days
3798.6
TCGA-2J-AAB9-01A
70 years, female, white, stage:Stage IIB, dead, 627 days
3778.1
TCGA-2J-AAB4-01A
48 years, male, white, stage:Stage IIB, alive, 729 days
3732.2
TCGA-3A-A9IX-01A
40 years, male, white, stage:Stage IA, alive, 1037 days
3697.3
TCGA-2L-AAQA-01A
76 years, male, white, stage:Stage IIB, dead, 143 days
3661.3
TCGA-2J-AABO-01A
43 years, male, white, stage:Stage IIB, alive, 440 days
3640.8
TCGA-IB-AAUO-01A
64 years, female, white, stage:Stage IIB, dead, 239 days
3635.4
TCGA-2L-AAQE-01A
56 years, male, white, stage:Stage IIB, dead, 684 days
3588.0
TCGA-L1-A7W4-01A
48 years, female, white, stage:Stage IIB, dead, 278 days
3564.9
TCGA-2J-AAB1-01A
65 years, male, white, stage:Stage IIB, dead, 66 days
3541.1
TCGA-HZ-7924-01A
60 years, female, white, stage:Stage IIA, alive, 840 days
3505.1
TCGA-IB-7644-01A
65 years, female, white, stage:Stage IV, dead, 394 days
3494.3
TCGA-HZ-8003-01A
65 years, female, white, stage:Stage IIB, dead, 596 days
3464.1
TCGA-HZ-A77O-01A
77 years, female, white, stage:Stage IIB, dead, 160 days
3458.9
TCGA-LB-A7SX-01A
74 years, female, black or african american, stage:Stage IIB, dead, 393 days
3400.1
TCGA-2J-AABK-01A
71 years, male, white, stage:Stage IIB, alive, 484 days
3395.5
TCGA-FB-AAQ0-01A
68 years, male, white, stage:Stage IIA, dead, 473 days
3394.1
TCGA-HZ-7926-01A
57 years, male, black or african american, stage:Stage IIB, dead, 518 days
3362.5
TCGA-3A-A9IH-01A
66 years, female, white, stage:Stage IA, alive, 1021 days
3212.8
TCGA-HZ-A8P1-01A
81 years, male, white, stage:Stage IB, alive, 7 days
3189.2
TCGA-FB-AAQ2-01A
81 years, female, white, stage:Stage IIB, dead, 153 days
3098.1
TCGA-HV-A7OP-01A
72 years, male, asian, stage:Stage IIB, alive, 978 days
3085.6
TCGA-LB-A9Q5-01A
63 years, female, white, stage:Stage IIB, dead, 313 days
3073.1
TCGA-3A-A9IJ-01A
65 years, male, white, stage:Stage IB, alive, 1854 days
3044.5
TCGA-IB-A7LX-01A
57 years, male, white, stage:Stage IIB, dead, 250 days
3028.0
TCGA-3E-AAAZ-01A
71 years, male, white, stage:Stage IIA, dead, 2182 days
3001.2
TCGA-RB-AA9M-01A
43 years, male, white, stage:Stage IIB, alive, 286 days
2999.1
TCGA-2J-AABU-01A
56 years, male, white, stage:Stage IIB, dead, 277 days
2957.9
TCGA-2L-AAQI-01A
66 years, male, white, stage:Stage IIB, dead, 103 days
2934.1
TCGA-3A-A9IN-01A
62 years, female, white, stage:Stage IB, alive, 2084 days
2900.3
TCGA-HZ-8638-01A
84 years, female, white, stage:Stage IA, dead, 151 days
2829.2
TCGA-3A-A9IL-01A
39 years, female, white, stage:Stage I, alive, 2741 days
2818.9
TCGA-3A-A9IR-01A
64 years, female, white, stage:Stage IB, alive, 1542 days
2645.8
TCGA-HZ-7289-01A
77 years, male, white, stage:Stage IIB, dead, 661 days
2611.2
TCGA-FB-AAPU-01A
41 years, female, asian, stage:Stage IIA, dead, 381 days
2587.0
TCGA-US-A77G-01A
64 years, male, white, stage:Stage IIB, dead, 12 days
2553.7
TCGA-S4-A8RM-01A
67 years, male, white, stage:Stage IIB, alive, 737 days
2547.0
TCGA-IB-AAUN-01A
74 years, female, white, stage:Stage IB, dead, 144 days
2508.0
TCGA-LB-A8F3-01A
64 years, female, black or african american, stage:Stage IIA, alive, 379 days
2454.4
TCGA-3A-A9IO-01A
55 years, male, white, stage:'--, alive, 1942 days
2367.0
TCGA-IB-A6UG-01A
65 years, male, white, stage:Stage IIB, dead, 41 days
2311.1
TCGA-3A-A9IV-01A
59 years, female, white, stage:Stage IB, alive, 1103 days
2238.3
TCGA-3A-A9IS-01A
67 years, male, white, stage:Stage IB, alive, 998 days
2196.2
TCGA-2J-AABI-01A
55 years, female, white, stage:Stage IIA, alive, 969 days
2072.3
TCGA-HZ-8317-01A
69 years, female, white, stage:Stage IIB, dead, 378 days
1806.5
TCGA-IB-AAUM-01A
76 years, male, white, stage:Stage IIB, alive, 8 days
1792.0
TCGA-IB-8126-01A
79 years, female, white, stage:Stage III, alive, 462 days
1720.4
TCGA-FB-AAPP-01A
71 years, male, white, stage:Stage IIB, dead, 485 days
1553.2
TCGA-US-A776-01A
61 years, male, white, stage:Stage IIA, alive, 1216 days
1390.9
TCGA-2J-AABV-01A
74 years, male, white, stage:Stage IIB, dead, 652 days
1377.5
TCGA-F2-6880-01A
70 years, male, white, stage:Stage IIB, alive, 295 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.
FTL 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 pTPM
2389.5
Number of samples
80
Samples
Sample
Description
pTPM
DO32863
60 years, male, NA, stage:, dead, 715 days
8560.9
DO34448
79 years, female, NA, stage:, dead, 719 days
8078.8
DO34720
68 years, male, NA, stage:, alive, 555 days
6332.9
DO32829
78 years, female, NA, stage:T2N0MX, dead, 1874 days
5763.0
DO33408
68 years, female, NA, stage:, alive, 909 days
5141.2
DO49193
60 years, male, NA, stage:, dead, 1 days
4321.2
DO34961
71 years, male, NA, stage:, dead, 632 days
4308.9
DO34728
77 years, female, NA, stage:, alive, 508 days
4125.5
DO34240
72 years, male, NA, stage:, dead, 236 days
3892.6
DO33472
75 years, female, NA, stage:, dead, 388 days
3650.1
DO34849
86 years, female, NA, stage:, dead, 272 days
3380.0
DO33480
52 years, male, NA, stage:, alive, 1054 days
3225.2
DO49113
46 years, female, NA, stage:, alive, 413 days
3031.1
DO49076
64 years, male, NA, stage:, dead, 480 days
2901.2
DO49079
50 years, male, NA, stage:, dead, 332 days
2870.0
DO49135
65 years, male, NA, stage:, alive, 270 days
2860.5
DO34432
82 years, female, NA, stage:, dead, 400 days
2813.0
DO33400
76 years, female, NA, stage:, alive, 1043 days
2779.6
DO49090
77 years, female, NA, stage:, dead, 152 days
2740.4
DO34696
75 years, male, NA, stage:, alive, 689 days
2708.1
DO32860
57 years, male, NA, stage:, dead, 1259 days
2628.5
DO49138
74 years, male, NA, stage:, dead, 230 days
2603.9
DO34368
64 years, female, NA, stage:, dead, 537 days
2602.9
DO33512
female, NA, stage:, dead, 499 days
2591.8
DO34504
37 years, male, NA, stage:, dead, 257 days
2518.8
DO33600
77 years, female, NA, stage:, alive, 854 days
2490.7
DO49164
70 years, male, NA, stage:, alive, 272 days
2453.0
DO34600
77 years, male, NA, stage:, dead, 537 days
2444.7
DO49178
58 years, male, NA, stage:, dead, 27 days
2416.1
DO33984
64 years, male, NA, stage:, alive, 847 days
2393.9
DO32900
51 years, male, NA, stage:, dead, 768 days
2379.4
DO49168
58 years, male, NA, stage:, alive, 149 days
2258.5
DO34616
68 years, female, NA, stage:, alive, 666 days
2252.5
DO34640
49 years, female, NA, stage:, dead, 287 days
2205.3
DO34785
67 years, female, NA, stage:, alive, 721 days
2183.5
DO49166
40 years, female, NA, stage:, alive, 222 days
2164.1
DO34680
75 years, male, NA, stage:, dead, 99 days
2153.9
DO34736
78 years, female, NA, stage:, dead, 203 days
2152.9
DO34656
61 years, female, NA, stage:, alive, 834 days
2108.8
DO34905
64 years, male, NA, stage:, alive, 1142 days
2093.3
DO49130
76 years, female, NA, stage:, alive, 351 days
2092.5
DO33344
70 years, male, NA, stage:, dead, 361 days
2068.3
DO49129
50 years, male, NA, stage:, alive, 337 days
2000.4
DO33128
72 years, male, NA, stage:, dead, 423 days
1992.4
DO49185
55 years, male, NA, stage:, alive, 179 days
1955.7
DO49137
67 years, female, NA, stage:, alive, 232 days
1925.4
DO34608
72 years, female, NA, stage:, dead, 709 days
1909.0
DO34312
58 years, female, NA, stage:, dead, 226 days
1889.8
DO32878
69 years, female, NA, stage:, dead, 260 days
1889.1
DO34801
60 years, male, NA, stage:, alive, 626 days
1877.5
DO49080
60 years, male, NA, stage:, alive, 83 days
1823.8
DO49204
67 years, male, NA, stage:, dead, 156 days
1777.7
DO33368
81 years, male, NA, stage:, dead, 98 days
1772.7
DO49170
67 years, male, NA, stage:, alive, 197 days
1754.7
DO34288
83 years, female, NA, stage:, dead, 220 days
1751.6
DO33552
70 years, female, NA, stage:, alive, 873 days
1688.9
DO34793
56 years, male, NA, stage:, dead, 427 days
1670.9
DO49133
55 years, female, NA, stage:, alive, 188 days
1625.2
DO34809
74 years, female, NA, stage:, dead, 297 days
1614.6
DO49181
77 years, male, NA, stage:, dead, 1534 days
1596.8
DO32875
69 years, male, NA, stage:, dead, 348 days
1582.9
DO49127
77 years, female, NA, stage:, alive, 392 days
1519.8
DO49172
60 years, female, NA, stage:, dead, 1021 days
1508.4
DO34264
63 years, female, NA, stage:, dead, 1144 days
1433.4
DO34817
72 years, female, NA, stage:, alive, 540 days
1363.0
DO49074
49 years, male, NA, stage:, dead, 168 days
1348.5
DO49198
61 years, female, NA, stage:, dead, 251 days
1345.1
DO33336
67 years, female, NA, stage:, dead, 451 days
1339.4
DO49199
52 years, male, NA, stage:, dead, 1095 days
1263.9
DO33168
80 years, female, NA, stage:, dead, 8 days
1236.7
DO49078
79 years, male, NA, stage:, dead, 465 days
1235.1
DO49087
68 years, female, NA, stage:, dead, 260 days
1228.9
DO33376
62 years, female, NA, stage:, alive, 909 days
1222.8
DO33544
83 years, female, NA, stage:, dead, 412 days
1218.8
DO33392
70 years, male, NA, stage:, alive, 1014 days
1121.6
DO49175
68 years, male, NA, stage:, dead, 414 days
1089.5
DO33488
61 years, male, NA, stage:, alive, 844 days
1080.7
DO49183
51 years, female, NA, stage:, dead, 429 days
1008.7
DO49184
56 years, male, NA, stage:, dead, 455 days
755.2
DO34336
70 years, female, NA, stage:, alive, 743 days
4.0
Show allShow less
PANCREATIC DUCTAL ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
235
Samples
Sample ID
Sample type
nRPX
CPT0247000003
Normal
2.9
CPT0125090003
Tumor
2.4
KoreanReference3
Tumor
2.3
KoreanReference1
Tumor
1.7
CPT0236340004
Tumor
1.7
CPT0170240004
Tumor
1.7
CPT0226600004
Tumor
1.5
KoreanReference2
Tumor
1.4
CPT0226490004
Tumor
1.4
CPT0203850004
Tumor
1.4
CPT0011520003
Tumor
1.2
WU-PDA1
Tumor
1.2
CPT0064520004
Tumor
1.2
CPT0197440004
Normal
1.1
CPT0091660003
Tumor
1.0
CPT0019410004
Tumor
1.0
CPT0227930004
Tumor
0.9
CPT0086190004
Tumor
0.9
CPT0127270003
Tumor
0.9
CPT0237910004
Tumor
0.9
CPT0019300004
Tumor
0.8
CPT0161990005
Tumor
0.8
CPT0237840004
Tumor
0.8
CPT0138990003
Normal
0.7
CPT0081360004
Tumor
0.7
CPT0185920004
Tumor
0.7
CPT0221470005
Tumor
0.7
CPT0161770004
Tumor
0.7
CPT0124530003
Normal
0.7
CPT0198700005
Tumor
0.6
CPT0208690004
Tumor
0.6
CPT0207990004
Normal
0.6
CPT0246210004
Tumor
0.5
CPT0008750003
Tumor
0.5
CPT0174800003
Normal
0.5
CPT0198420004
Tumor
0.5
CPT0064110003
Normal
0.5
CPT0123750003
Tumor
0.4
CPT0124500004
Tumor
0.4
CPT0197420004
Tumor
0.3
CPT0089720003
Tumor
0.3
CPT0217700004
Tumor
0.3
CPT0183750005
Tumor
0.3
CPT0108930003
Tumor
0.3
CPT0077860003
Tumor
0.3
CPT0226570004
Tumor
0.3
CPT0226760004
Tumor
0.2
CPT0081260004
Tumor
0.2
CPT0239100009
Tumor
0.2
CPT0238040005
Tumor
0.2
CPT0226650004
Tumor
0.2
CPT0081470004
Tumor
0.2
CPT0248590004
Tumor
0.2
CPT0089750004
Normal
0.2
CPT0108960003
Normal
0.2
CPT0207980005
Tumor
0.1
CPT0208840004
Tumor
0.1
CPT0186040004
Tumor
0.1
CPT0187930005
Tumor
0.1
CPT0123650003
Tumor
0.1
CPT0078030003
Normal
0.1
CPT0066020003
Normal
0.1
CPT0063570003
Tumor
0.1
CPT0064570003
Normal
0.1
CPT0125130003
Tumor
0.1
CPT0017130003
Normal
0.0
CPT0093930004
Tumor
0.0
CPT0162670004
Normal
0.0
CPT0166760004
Tumor
0.0
CPT0239910004
Tumor
0.0
CPT0077790004
Tumor
0.0
CPT0108400003
Tumor
0.0
CPT0183450005
Tumor
0.0
CPT0123670003
Normal
0.0
CPT0081060004
Tumor
0.0
CPT0008800003
Tumor
0.0
CPT0238920004
Tumor
0.0
CPT0238710004
Tumor
-0.1
CPT0123990003
Tumor
-0.1
CPT0139000004
Tumor
-0.1
CPT0238530005
Tumor
-0.1
CPT0125010003
Normal
-0.1
CPT0218200004
Tumor
-0.1
CPT0162660004
Tumor
-0.1
CPT0088320003
Tumor
-0.1
CPT0254680003
Tumor
-0.1
CPT0124980004
Tumor
-0.1
CPT0224460004
Tumor
-0.1
CPT0246720003
Tumor
-0.1
CPT0083270003
Tumor
-0.2
CPT0246810003
Tumor
-0.2
CPT0086210003
Normal
-0.2
CPT0078000003
Tumor
-0.2
CPT0246840003
Tumor
-0.2
CPT0187550004
Tumor
-0.2
CPT0123460003
Normal
-0.2
CPT0174700004
Tumor
-0.2
CPT0124360003
Tumor
-0.2
CPT0109010004
Tumor
-0.2
CPT0093860003
Tumor
-0.3
CPT0094740004
Tumor
-0.3
CPT0123440003
Tumor
-0.3
C3L-00401-04
Normal
-0.3
CPT0000250017
Tumor
-0.3
CPT0209640005
Tumor
-0.3
CPT0237270005
Tumor
-0.3
CPT0246260004
Tumor
-0.3
CPT0123770003
Normal
-0.3
CPT0221250004
Normal
-0.3
CPT0001750003
Normal
-0.4
CPT0238820005
Tumor
-0.4
CPT0236710004
Normal
-0.4
CPT0094940004
Tumor
-0.4
CPT0236780005
Tumor
-0.4
CPT0087890004
Tumor
-0.4
CPT0238610009
Tumor
-0.4
CPT0208550005
Tumor
-0.4
CPT0123860003
Tumor
-0.4
CPT0064090003
Tumor
-0.4
CPT0236560004
Tumor
-0.4
CPT0063970004
Tumor
-0.4
CPT0017040004
Tumor
-0.4
CPT0091680003
Normal
-0.4
CPT0088260004
Tumor
-0.4
CPT0247040003
Tumor
-0.4
CPT0077930004
Tumor
-0.4
CPT0065570003
Tumor
-0.4
CPT0241320005
Tumor
-0.5
CPT0276010003
Tumor
-0.5
CPT0094030003
Tumor
-0.5
CPT0123890003
Normal
-0.5
CPT0094230004
Tumor
-0.5
CPT0236700005
Tumor
-0.5
CPT0001730017
Tumor
-0.5
CPT0093980004
Tumor
-0.5
CPT0124000003
Normal
-0.5
CPT0092630003
Tumor
-0.5
CPT0025760003
Normal
-0.5
CPT0124410004
Tumor
-0.5
CPT0209310004
Tumor
-0.5
CPT0207780004
Tumor
-0.5
CPT0235230004
Tumor
-0.5
CPT0094180003
Tumor
-0.5
CPT0198910005
Tumor
-0.5
CPT0236360004
Normal
-0.6
CPT0239920004
Normal
-0.6
CPT0198440004
Normal
-0.6
CPT0077880003
Normal
-0.6
CPT0221240004
Tumor
-0.6
CPT0011540003
Normal
-0.6
CPT0124610004
Tumor
-0.6
CPT0078160004
Tumor
-0.6
CPT0248620003
Normal
-0.6
CPT0014040003
Tumor
-0.6
CPT0264150003
Tumor
-0.7
CPT0065640003
Tumor
-0.7
CPT0088180004
Tumor
-0.7
CPT0237850004
Normal
-0.7
CPT0226610004
Normal
-0.7
CPT0239140004
Normal
-0.8
CPT0241500004
Tumor
-0.8
CPT0077950003
Normal
-0.8
CPT0246990003
Tumor
-0.8
CPT0078090004
Tumor
-0.8
CPT0226530004
Tumor
-0.8
CPT0241510004
Normal
-0.9
CPT0170260004
Normal
-0.9
CPT0226680005
Tumor
-0.9
CPT0127290003
Normal
-0.9
CPT0237920004
Normal
-0.9
CPT0094630004
Tumor
-0.9
CPT0093880003
Normal
-0.9
CPT0077810003
Normal
-1.0
CPT0162760003
Tumor
-1.0
CPT0276030003
Normal
-1.0
CPT0246940003
Tumor
-1.0
CPT0183770004
Normal
-1.0
CPT0246220004
Normal
-1.0
CPT0248410004
Tumor
-1.0
CPT0246950003
Normal
-1.0
CPT0162780004
Normal
-1.0
CPT0078180003
Normal
-1.0
CPT0094130004
Tumor
-1.0
CPT0238640004
Normal
-1.0
CPT0166780004
Normal
-1.1
CPT0238440005
Tumor
-1.1
CPT0025750003
Tumor
-1.1
CPT0109300004
Tumor
-1.1
CPT0187540004
Normal
-1.1
CPT0209650004
Normal
-1.1
CPT0126160004
Tumor
-1.2
CPT0198930003
Normal
-1.2
C3L-03632-04
Normal
-1.2
CPT0063580003
Normal
-1.2
CPT0208850004
Normal
-1.2
CPT0078250003
Tumor
-1.3
CPT0238940004
Normal
-1.3
CPT0208710004
Normal
-1.3
C3N-02573-03
Normal
-1.4
CPT0248440003
Normal
-1.4
C3N-00709-06
Normal
-1.5
CPT0109200004
Tumor
-1.5
CPT0238740004
Normal
-1.7
CPT0236800004
Normal
-1.7
CPT0347760002
Normal
-1.8
C3L-00189-04
Normal
-1.8
CPT0247090003
Tumor
-1.9
CPT0355180003
Normal
-2.0
CPT0347790002
Normal
-2.2
CPT0218220004
Normal
-2.2
CPT0347880002
Normal
-2.2
CPT0347850002
Normal
-2.3
CPT0355200003
Normal
-2.4
CPT0347820002
Normal
-2.4
CPT0355190003
Normal
-2.7
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
