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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.
EEF1G 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 TPM
1501.8
Number of samples
176
Samples
Sample
Description
TPM
TCGA-2J-AABI-01A
0 years, female, white, stage:Stage IIA, alive, 969 days
3329.1
TCGA-IB-7644-01A
0 years, female, white, stage:Stage IV, dead, 394 days
3121.7
TCGA-IB-7886-01A
0 years, male, white, stage:Stage IIB, dead, 123 days
2843.3
TCGA-HV-A7OP-01A
0 years, male, asian, stage:Stage IIB, alive, 978 days
2799.6
TCGA-IB-7887-01A
0 years, female, white, stage:Stage IIB, dead, 110 days
2767.7
TCGA-IB-A7M4-01A
0 years, male, white, stage:Stage IIB, alive, 483 days
2732.9
TCGA-3E-AAAZ-01A
0 years, male, white, stage:Stage IIA, dead, 2182 days
2620.5
TCGA-IB-7889-01A
0 years, female, white, stage:Stage IIB, dead, 481 days
2569.7
TCGA-FB-AAQ6-01A
0 years, male, white, stage:Stage IA, dead, 244 days
2477.8
TCGA-Z5-AAPL-01A
0 years, female, white, stage:Stage IIA, alive, 467 days
2253.1
TCGA-HZ-8001-01A
0 years, male, white, stage:Stage III, alive, 706 days
2206.6
TCGA-IB-A7LX-01A
0 years, male, white, stage:Stage IIB, dead, 250 days
2131.6
TCGA-H6-8124-01A
0 years, female, white, stage:Stage IIB, alive, 392 days
2115.7
TCGA-2L-AAQA-01A
0 years, male, white, stage:Stage IIB, dead, 143 days
2043.0
TCGA-HZ-8002-01A
0 years, male, white, stage:Stage IIB, dead, 366 days
2016.1
TCGA-IB-A6UG-01A
0 years, male, white, stage:Stage IIB, dead, 41 days
2000.1
TCGA-LB-A8F3-01A
0 years, female, black or african american, stage:Stage IIA, alive, 379 days
1965.3
TCGA-IB-AAUR-01A
0 years, male, white, stage:Stage IIB, alive, 338 days
1949.7
TCGA-3A-A9IB-01A
0 years, female, white, stage:Stage IIB, dead, 224 days
1920.2
TCGA-FB-AAQ2-01A
0 years, female, white, stage:Stage IIB, dead, 153 days
1915.9
TCGA-FB-A5VM-01A
0 years, male, white, stage:Stage IB, dead, 498 days
1911.9
TCGA-IB-7893-01A
0 years, male, white, stage:Stage IIA, dead, 117 days
1908.9
TCGA-FB-A545-01A
0 years, female, white, stage:Stage IIB, dead, 732 days
1902.2
TCGA-US-A77J-01A
0 years, female, white, stage:Stage IIB, dead, 568 days
1891.2
TCGA-RL-AAAS-01A
0 years, female, white, stage:Stage IB, alive, 9 days
1883.2
TCGA-HZ-A9TJ-01A
0 years, male, white, stage:Stage IV, alive, 603 days
1877.6
TCGA-IB-7888-01A
0 years, female, black or african american, stage:Stage IIA, dead, 1332 days
1877.2
TCGA-HZ-7925-01A
0 years, male, white, stage:Stage IIB, dead, 614 days
1850.5
TCGA-XN-A8T5-01A
0 years, female, white, stage:Stage IB, alive, 720 days
1845.7
TCGA-3A-A9IZ-01A
0 years, male, white, stage:Stage IIB, dead, 308 days
1844.0
TCGA-HZ-A8P1-01A
0 years, male, white, stage:Stage IB, alive, 7 days
1840.0
TCGA-HZ-7920-01A
0 years, male, white, stage:Stage IB, dead, 236 days
1829.5
TCGA-FB-AAPU-01A
0 years, female, asian, stage:Stage IIA, dead, 381 days
1826.9
TCGA-Q3-A5QY-01A
0 years, male, white, stage:Stage IIB, alive, 416 days
1826.8
TCGA-HZ-8005-01A
0 years, male, white, stage:Stage IIB, dead, 120 days
1825.1
TCGA-IB-AAUP-01A
0 years, male, white, stage:Stage IIB, alive, 431 days
1823.4
TCGA-IB-A5SP-01A
0 years, male, white, stage:Stage IIA, alive, 482 days
1792.9
TCGA-2J-AABP-01A
0 years, female, white, stage:Stage IIB, alive, 463 days
1784.4
TCGA-XD-AAUH-01A
0 years, female, white, stage:Stage IIB, alive, 395 days
1778.7
TCGA-2J-AABA-01A
0 years, male, white, stage:Stage IIB, dead, 607 days
1763.5
TCGA-XD-AAUG-01A
0 years, female, white, stage:Stage IV, alive, 420 days
1763.0
TCGA-HZ-7922-01A
0 years, female, white, stage:Stage IIB, alive, 4 days
1750.4
TCGA-FB-AAQ0-01A
0 years, male, white, stage:Stage IIA, dead, 473 days
1744.4
TCGA-IB-AAUV-01A
0 years, male, white, stage:Stage IIB, alive, 404 days
1731.5
TCGA-YY-A8LH-01A
0 years, female, white, stage:Stage IIB, alive, 2016 days
1729.2
TCGA-3A-A9I5-01A
0 years, male, white, stage:'--, alive, 1794 days
1720.5
TCGA-F2-A8YN-01A
0 years, male, white, stage:Stage IIA, alive, 517 days
1717.1
TCGA-2J-AABU-01A
0 years, male, white, stage:Stage IIB, dead, 277 days
1691.9
TCGA-IB-7890-01A
0 years, male, stage:Stage IB, dead, 598 days
1682.5
TCGA-2L-AAQI-01A
0 years, male, white, stage:Stage IIB, dead, 103 days
1681.9
TCGA-2L-AAQE-01A
0 years, male, white, stage:Stage IIB, dead, 684 days
1679.2
TCGA-XD-AAUI-01A
0 years, female, white, stage:Stage IIB, dead, 366 days
1659.1
TCGA-RB-AA9M-01A
0 years, male, white, stage:Stage IIB, alive, 286 days
1650.9
TCGA-IB-A5SS-01A
0 years, female, white, stage:Stage IIB, dead, 460 days
1648.9
TCGA-FB-AAQ1-01A
0 years, male, white, stage:Stage IIB, dead, 123 days
1614.9
TCGA-US-A779-01A
0 years, female, white, stage:Stage IIB, dead, 511 days
1614.0
TCGA-HZ-7926-01A
0 years, male, black or african american, stage:Stage IIB, dead, 518 days
1610.6
TCGA-IB-7645-01A
0 years, female, stage:Stage IIB, dead, 1502 days
1608.3
TCGA-S4-A8RM-01A
0 years, male, white, stage:Stage IIB, alive, 737 days
1607.1
TCGA-IB-A5SQ-01A
0 years, female, white, stage:Stage IB, dead, 219 days
1605.5
TCGA-3A-A9IR-01A
0 years, female, white, stage:Stage IB, alive, 1542 days
1599.2
TCGA-FB-AAPQ-01A
0 years, male, white, stage:Stage IIB, dead, 1130 days
1598.5
TCGA-2J-AAB6-01A
0 years, male, white, stage:Stage IIA, dead, 293 days
1597.1
TCGA-HV-A5A3-01A
0 years, male, asian, stage:Stage IIA, dead, 128 days
1592.6
TCGA-IB-A6UF-01A
0 years, male, white, stage:Stage IIB, alive, 666 days
1590.7
TCGA-IB-AAUW-01A
0 years, female, white, stage:Stage IIB, dead, 230 days
1583.0
TCGA-3A-A9IX-01A
0 years, male, white, stage:Stage IA, alive, 1037 days
1554.2
TCGA-3A-A9IC-01A
0 years, female, white, stage:Stage IIB, dead, 738 days
1554.0
TCGA-HZ-7924-01A
0 years, female, white, stage:Stage IIA, alive, 840 days
1539.0
TCGA-OE-A75W-01A
0 years, male, white, stage:Stage IIA, dead, 267 days
1533.1
TCGA-HZ-7919-01A
0 years, female, white, stage:Stage IIB, dead, 593 days
1518.1
TCGA-IB-A5ST-01A
0 years, female, white, stage:Stage IIB, alive, 635 days
1516.2
TCGA-2J-AABO-01A
0 years, male, white, stage:Stage IIB, alive, 440 days
1510.7
TCGA-2J-AABE-01A
0 years, male, white, stage:Stage IIA, alive, 676 days
1509.2
TCGA-F2-7276-01A
0 years, male, white, stage:Stage IIB, dead, 216 days
1503.4
TCGA-2J-AAB9-01A
0 years, female, white, stage:Stage IIB, dead, 627 days
1501.5
TCGA-HZ-A77P-01A
0 years, male, white, stage:Stage IIB, alive, 330 days
1497.6
TCGA-IB-7652-01A
0 years, female, asian, stage:Stage IIB, alive, 1116 days
1497.6
TCGA-2J-AABT-01A
0 years, female, white, stage:Stage IIB, alive, 319 days
1489.4
TCGA-YB-A89D-01A
0 years, male, white, stage:Stage IIB, alive, 350 days
1487.0
TCGA-2J-AAB8-01A
0 years, male, white, stage:Stage IIB, alive, 80 days
1481.6
TCGA-IB-7649-01A
0 years, female, stage:Stage IIB, dead, 467 days
1479.3
TCGA-IB-7897-01A
0 years, female, white, stage:Stage IIB, dead, 486 days
1470.4
TCGA-F2-6879-01A
0 years, male, white, stage:Stage IIB, dead, 334 days
1470.2
TCGA-FB-AAPZ-01A
0 years, male, white, stage:Stage IIB, alive, 716 days
1464.8
TCGA-IB-AAUQ-01A
0 years, male, white, stage:Stage IIB, dead, 183 days
1459.6
TCGA-3A-A9J0-01A
0 years, male, white, stage:Stage IIB, alive, 743 days
1457.8
TCGA-IB-7891-01A
0 years, female, white, stage:Stage IIB, dead, 913 days
1456.5
TCGA-2J-AAB1-01A
0 years, male, white, stage:Stage IIB, dead, 66 days
1453.5
TCGA-LB-A7SX-01A
0 years, female, black or african american, stage:Stage IIB, dead, 393 days
1445.1
TCGA-2J-AABK-01A
0 years, male, white, stage:Stage IIB, alive, 484 days
1444.9
TCGA-US-A774-01A
0 years, female, white, stage:Stage IIB, dead, 695 days
1442.9
TCGA-IB-7885-01A
0 years, female, white, stage:Stage IIB, alive, 1257 days
1442.6
TCGA-IB-AAUS-01A
0 years, female, white, stage:Stage IIB, alive, 225 days
1432.3
TCGA-F2-7273-01A
0 years, male, black or african american, stage:Stage IIB, dead, 592 days
1425.6
TCGA-F2-A7TX-01A
0 years, male, white, stage:Stage IIB, dead, 95 days
1419.3
TCGA-HZ-A77O-01A
0 years, female, white, stage:Stage IIB, dead, 160 days
1419.2
TCGA-3A-A9I7-01A
0 years, male, black or african american, stage:Stage IIB, alive, 1323 days
1417.5
TCGA-FB-AAPS-01A
0 years, female, white, stage:Stage IIB, alive, 228 days
1408.9
TCGA-IB-7654-01A
0 years, male, white, stage:Stage IIB, dead, 476 days
1398.9
TCGA-HV-AA8V-01A
0 years, male, asian, stage:Stage IIB, alive, 920 days
1391.8
TCGA-2L-AAQJ-01A
0 years, female, white, stage:Stage III, dead, 394 days
1388.9
TCGA-HZ-A4BH-01A
0 years, male, white, stage:Stage IIB, alive, 194 days
1383.1
TCGA-HZ-A49H-01A
0 years, female, white, stage:Stage IIB, alive, 491 days
1380.8
TCGA-H6-A45N-01A
0 years, female, white, stage:Stage IIB, dead, 397 days
1380.1
TCGA-HZ-8636-01A
0 years, female, white, stage:Stage IV, dead, 545 days
1377.1
TCGA-Q3-AA2A-01A
0 years, female, white, stage:Stage IB, alive, 95 days
1376.5
TCGA-PZ-A5RE-01A
0 years, female, white, stage:Stage IIB, dead, 470 days
1374.6
TCGA-IB-AAUT-01A
0 years, male, white, stage:Stage IIB, alive, 287 days
1372.5
TCGA-XN-A8T3-01A
0 years, male, white, stage:Stage IB, alive, 951 days
1368.3
TCGA-2J-AAB4-01A
0 years, male, white, stage:Stage IIB, alive, 729 days
1364.1
TCGA-2J-AABH-01A
0 years, male, white, stage:Stage IIA, alive, 1287 days
1358.2
TCGA-H8-A6C1-01A
0 years, male, white, stage:Stage IIA, alive, 671 days
1337.9
TCGA-FB-A4P6-01A
0 years, male, white, stage:Stage IIB, alive, 767 days
1337.0
TCGA-L1-A7W4-01A
0 years, female, white, stage:Stage IIB, dead, 278 days
1329.7
TCGA-HZ-8315-01A
0 years, female, white, stage:Stage IIA, dead, 299 days
1326.4
TCGA-HZ-8519-01A
0 years, male, white, stage:Stage IA, alive, 454 days
1325.8
TCGA-3A-A9IH-01A
0 years, female, white, stage:Stage IA, alive, 1021 days
1323.9
TCGA-3E-AAAY-01A
0 years, male, white, stage:Stage IIB, alive, 2285 days
1320.9
TCGA-2J-AABR-01A
0 years, female, white, stage:Stage IIA, alive, 438 days
1320.4
TCGA-S4-A8RP-01A
0 years, female, white, stage:Stage IIB, dead, 702 days
1317.8
TCGA-3A-A9IU-01A
0 years, male, white, stage:Stage IIB, dead, 458 days
1280.0
TCGA-HZ-A77Q-01A
0 years, female, white, stage:Stage IIB, alive, 33 days
1279.5
TCGA-FB-A7DR-01A
0 years, male, asian, stage:Stage IIA, dead, 353 days
1265.6
TCGA-FB-AAPY-01A
0 years, male, white, stage:Stage IIB, dead, 1059 days
1249.8
TCGA-HZ-A49I-01A
0 years, male, white, stage:Stage IIB, dead, 308 days
1244.8
TCGA-IB-AAUO-01A
0 years, female, white, stage:Stage IIB, dead, 239 days
1242.2
TCGA-IB-A5SO-01A
0 years, male, white, stage:Stage IIB, dead, 365 days
1239.8
TCGA-2L-AAQL-01A
0 years, male, white, stage:Stage IIB, dead, 292 days
1237.7
TCGA-HV-A5A4-01A
0 years, female, asian, stage:Stage IIA, alive, 232 days
1229.6
TCGA-HZ-7923-01A
0 years, male, white, stage:Stage IIA, alive, 314 days
1218.1
TCGA-3A-A9IO-01A
0 years, male, white, stage:'--, alive, 1942 days
1214.7
TCGA-3A-A9IJ-01A
0 years, male, white, stage:Stage IB, alive, 1854 days
1197.6
TCGA-FB-A4P5-01A
0 years, female, white, stage:Stage IIB, dead, 179 days
1193.3
TCGA-IB-7651-01A
0 years, female, white, stage:Stage IIB, dead, 603 days
1188.8
TCGA-US-A77E-01A
0 years, male, white, stage:Stage IIB, dead, 430 days
1188.2
TCGA-RB-A7B8-01A
0 years, female, white, stage:Stage IIB, dead, 466 days
1152.6
TCGA-2J-AABV-01A
0 years, male, white, stage:Stage IIB, dead, 652 days
1152.5
TCGA-IB-AAUM-01A
0 years, male, white, stage:Stage IIB, alive, 8 days
1149.1
TCGA-IB-7646-01A
0 years, male, white, stage:Stage IIB, dead, 145 days
1142.3
TCGA-HZ-7918-01A
0 years, male, white, stage:Stage IIB, alive, 969 days
1138.7
TCGA-HZ-A49G-01A
0 years, female, white, stage:Stage IIB, alive, 660 days
1119.4
TCGA-HV-A7OL-01A
0 years, male, asian, stage:Stage IIA, alive, 252 days
1116.7
TCGA-US-A77G-01A
0 years, male, white, stage:Stage IIB, dead, 12 days
1114.0
TCGA-HV-A5A6-01A
0 years, female, asian, stage:Stage IIB, dead, 2036 days
1112.8
TCGA-FB-AAPP-01A
0 years, male, white, stage:Stage IIB, dead, 485 days
1109.0
TCGA-3A-A9IL-01A
0 years, female, white, stage:Stage I, alive, 2741 days
1106.5
TCGA-XD-AAUL-01A
0 years, male, white, stage:Stage IIA, alive, 498 days
1105.0
TCGA-F2-A44H-01A
0 years, male, white, stage:Stage IIA, alive, 586 days
1101.5
TCGA-FB-AAQ3-01A
0 years, female, white, stage:Stage IIB, dead, 31 days
1092.1
TCGA-HZ-A4BK-01A
0 years, male, white, stage:Stage IIB, alive, 657 days
1082.8
TCGA-M8-A5N4-01A
0 years, female, stage:Stage IIA, alive, 584 days
1066.0
TCGA-IB-8127-01A
0 years, male, white, stage:Stage IIB, alive, 522 days
1059.5
TCGA-HV-A5A5-01A
0 years, female, asian, stage:Stage IIB, alive, 289 days
1051.7
TCGA-FB-A78T-01A
0 years, female, white, stage:Stage IIB, dead, 375 days
1029.0
TCGA-3A-A9IN-01A
0 years, female, white, stage:Stage IB, alive, 2084 days
1023.0
TCGA-HZ-8638-01A
0 years, female, white, stage:Stage IA, dead, 151 days
1011.3
TCGA-HZ-8637-01A
0 years, female, white, stage:Stage IIB, dead, 517 days
1007.2
TCGA-HZ-7289-01A
0 years, male, white, stage:Stage IIB, dead, 661 days
1005.9
TCGA-IB-AAUN-01A
0 years, female, white, stage:Stage IB, dead, 144 days
1002.1
TCGA-LB-A9Q5-01A
0 years, female, white, stage:Stage IIB, dead, 313 days
989.3
TCGA-IB-AAUU-01A
0 years, male, white, stage:Stage IIB, alive, 245 days
986.9
TCGA-YH-A8SY-01A
0 years, female, white, stage:'--, alive, 388 days
984.2
TCGA-2J-AABF-01A
0 years, male, white, stage:Stage IIB, dead, 691 days
977.9
TCGA-HV-AA8X-01A
0 years, female, asian, stage:Stage IIB, dead, 532 days
956.0
TCGA-F2-A44G-01A
0 years, female, white, stage:Stage IIB, dead, 233 days
954.5
TCGA-3A-A9I9-01A
0 years, male, white, stage:Stage IIA, dead, 634 days
915.1
TCGA-S4-A8RO-01A
0 years, female, white, stage:Stage IIB, alive, 525 days
909.2
TCGA-HZ-8317-01A
0 years, female, white, stage:Stage IIB, dead, 378 days
859.7
TCGA-3A-A9IV-01A
0 years, female, white, stage:Stage IB, alive, 1103 days
840.8
TCGA-IB-8126-01A
0 years, female, white, stage:Stage III, alive, 462 days
756.6
TCGA-F2-6880-01A
0 years, male, white, stage:Stage IIB, alive, 295 days
753.5
TCGA-US-A776-01A
0 years, male, white, stage:Stage IIA, alive, 1216 days
726.4
TCGA-HZ-8003-01A
0 years, female, white, stage:Stage IIB, dead, 596 days
677.9
TCGA-3A-A9IS-01A
0 years, male, white, stage:Stage IB, alive, 998 days
644.4
TCGA-2L-AAQM-01A
0 years, male, white, stage:Stage IIB, alive, 1383 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.
EEF1G 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 TPM
463.7
Number of samples
80
Samples
Sample
Description
TPM
DO33400
0 years, female, NA, stage:, alive, 1043 days
1035.5
DO34961
0 years, male, NA, stage:, dead, 632 days
964.0
DO34640
0 years, female, NA, stage:, dead, 287 days
892.2
DO49204
0 years, male, NA, stage:, dead, 156 days
801.6
DO34785
0 years, female, NA, stage:, alive, 721 days
794.3
DO49079
0 years, male, NA, stage:, dead, 332 days
778.6
DO33552
0 years, female, NA, stage:, alive, 873 days
776.3
DO33512
female, NA, stage:, dead, 499 days
741.0
DO34817
0 years, female, NA, stage:, alive, 540 days
716.3
DO49113
0 years, female, NA, stage:, alive, 413 days
708.5
DO49129
0 years, male, NA, stage:, alive, 337 days
680.7
DO34801
0 years, male, NA, stage:, alive, 626 days
672.0
DO49193
0 years, male, NA, stage:, dead, 1 days
652.0
DO34793
0 years, male, NA, stage:, dead, 427 days
649.7
DO49080
0 years, male, NA, stage:, alive, 83 days
609.3
DO34264
0 years, female, NA, stage:, dead, 1144 days
595.2
DO32863
0 years, male, NA, stage:, dead, 715 days
592.8
DO34504
0 years, male, NA, stage:, dead, 257 days
590.7
DO34616
0 years, female, NA, stage:, alive, 666 days
588.3
DO49137
0 years, female, NA, stage:, alive, 232 days
577.3
DO34608
0 years, female, NA, stage:, dead, 709 days
568.0
DO49076
0 years, male, NA, stage:, dead, 480 days
555.9
DO49127
0 years, female, NA, stage:, alive, 392 days
552.7
DO34696
0 years, male, NA, stage:, alive, 689 days
547.6
DO49164
0 years, male, NA, stage:, alive, 272 days
546.7
DO33128
0 years, male, NA, stage:, dead, 423 days
539.3
DO49133
0 years, female, NA, stage:, alive, 188 days
529.1
DO34448
0 years, female, NA, stage:, dead, 719 days
528.6
DO49170
0 years, male, NA, stage:, alive, 197 days
511.7
DO33392
0 years, male, NA, stage:, alive, 1014 days
501.8
DO49078
0 years, male, NA, stage:, dead, 465 days
498.5
DO34656
0 years, female, NA, stage:, alive, 834 days
497.2
DO34720
0 years, male, NA, stage:, alive, 555 days
494.3
DO32860
0 years, male, NA, stage:, dead, 1259 days
489.9
DO49168
0 years, male, NA, stage:, alive, 149 days
472.1
DO49166
0 years, female, NA, stage:, alive, 222 days
460.9
DO49178
0 years, male, NA, stage:, dead, 27 days
460.2
DO49135
0 years, male, NA, stage:, alive, 270 days
458.3
DO49183
0 years, female, NA, stage:, dead, 429 days
454.7
DO34368
0 years, female, NA, stage:, dead, 537 days
453.8
DO49185
0 years, male, NA, stage:, alive, 179 days
445.9
DO33168
0 years, female, NA, stage:, dead, 8 days
433.2
DO34432
0 years, female, NA, stage:, dead, 400 days
428.4
DO34240
0 years, male, NA, stage:, dead, 236 days
425.9
DO34905
0 years, male, NA, stage:, alive, 1142 days
425.4
DO33984
0 years, male, NA, stage:, alive, 847 days
423.5
DO33376
0 years, female, NA, stage:, alive, 909 days
418.4
DO34600
0 years, male, NA, stage:, dead, 537 days
414.6
DO33480
0 years, male, NA, stage:, alive, 1054 days
407.1
DO34736
0 years, female, NA, stage:, dead, 203 days
406.8
DO34680
0 years, male, NA, stage:, dead, 99 days
405.9
DO33488
0 years, male, NA, stage:, alive, 844 days
387.1
DO34288
0 years, female, NA, stage:, dead, 220 days
380.2
DO32829
0 years, female, NA, stage:T2N0MX, dead, 1874 days
370.0
DO49138
0 years, male, NA, stage:, dead, 230 days
369.8
DO33344
0 years, male, NA, stage:, dead, 361 days
368.3
DO33336
0 years, female, NA, stage:, dead, 451 days
366.0
DO33408
0 years, female, NA, stage:, alive, 909 days
363.8
DO32875
0 years, male, NA, stage:, dead, 348 days
363.0
DO34728
0 years, female, NA, stage:, alive, 508 days
354.7
DO32900
0 years, male, NA, stage:, dead, 768 days
338.4
DO49130
0 years, female, NA, stage:, alive, 351 days
317.5
DO33472
0 years, female, NA, stage:, dead, 388 days
314.2
DO49181
0 years, male, NA, stage:, dead, 1534 days
311.2
DO33544
0 years, female, NA, stage:, dead, 412 days
292.5
DO34809
0 years, female, NA, stage:, dead, 297 days
289.9
DO34312
0 years, female, NA, stage:, dead, 226 days
289.2
DO34849
0 years, female, NA, stage:, dead, 272 days
281.5
DO33600
0 years, female, NA, stage:, alive, 854 days
276.3
DO32878
0 years, female, NA, stage:, dead, 260 days
272.5
DO49087
0 years, female, NA, stage:, dead, 260 days
265.5
DO33368
0 years, male, NA, stage:, dead, 98 days
262.9
DO49090
0 years, female, NA, stage:, dead, 152 days
255.1
DO49172
0 years, female, NA, stage:, dead, 1021 days
227.7
DO49198
0 years, female, NA, stage:, dead, 251 days
149.4
DO49199
0 years, male, NA, stage:, dead, 1095 days
146.9
DO49074
0 years, male, NA, stage:, dead, 168 days
142.6
DO49175
0 years, male, NA, stage:, dead, 414 days
89.8
DO49184
0 years, male, NA, stage:, dead, 455 days
78.6
DO34336
0 years, female, NA, stage:, alive, 743 days
5.2
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PANCREATIC DUCTAL ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
235
Samples
Sample ID
Sample type
nRPX
CPT0017130003
Normal
1.0
CPT0063580003
Normal
1.0
CPT0170260004
Normal
0.9
C3N-02573-03
Normal
0.9
CPT0078180003
Normal
0.8
CPT0025760003
Normal
0.8
CPT0127290003
Normal
0.8
CPT0077810003
Normal
0.8
CPT0347820002
Normal
0.7
CPT0236800004
Normal
0.7
CPT0239920004
Normal
0.7
CPT0011540003
Normal
0.7
CPT0218220004
Normal
0.7
CPT0209650004
Normal
0.6
C3L-00189-04
Normal
0.6
CPT0089750004
Normal
0.6
CPT0347880002
Normal
0.6
CPT0198930003
Normal
0.6
CPT0226600004
Tumor
0.6
CPT0183770004
Normal
0.5
CPT0238640004
Normal
0.5
CPT0123460003
Normal
0.5
CPT0355190003
Normal
0.5
CPT0236360004
Normal
0.5
CPT0238740004
Normal
0.5
CPT0208850004
Normal
0.5
CPT0123890003
Normal
0.5
CPT0162780004
Normal
0.5
CPT0239140004
Normal
0.5
C3L-03632-04
Normal
0.5
CPT0237920004
Normal
0.5
CPT0347850002
Normal
0.4
C3N-00709-06
Normal
0.4
CPT0166780004
Normal
0.4
CPT0124500004
Tumor
0.4
CPT0355200003
Normal
0.4
CPT0247090003
Tumor
0.4
CPT0123770003
Normal
0.4
CPT0208710004
Normal
0.4
CPT0187540004
Normal
0.4
CPT0094030003
Tumor
0.3
CPT0221250004
Normal
0.3
CPT0238940004
Normal
0.2
CPT0237850004
Normal
0.2
CPT0077950003
Normal
0.2
CPT0091660003
Tumor
0.2
CPT0019300004
Tumor
0.2
CPT0347760002
Normal
0.2
CPT0093930004
Tumor
0.2
CPT0093880003
Normal
0.2
CPT0108960003
Normal
0.2
CPT0276030003
Normal
0.2
CPT0236710004
Normal
0.2
CPT0246950003
Normal
0.2
CPT0064520004
Tumor
0.1
CPT0248440003
Normal
0.1
CPT0091680003
Normal
0.1
CPT0227930004
Tumor
0.1
CPT0123650003
Tumor
0.1
CPT0125130003
Tumor
0.1
CPT0248590004
Tumor
0.1
CPT0123670003
Normal
0.1
CPT0081360004
Tumor
0.1
CPT0094180003
Tumor
0.0
CPT0065570003
Tumor
0.0
CPT0248620003
Normal
0.0
CPT0123860003
Tumor
0.0
CPT0347790002
Normal
0.0
CPT0123440003
Tumor
0.0
CPT0235230004
Tumor
0.0
CPT0246220004
Normal
0.0
CPT0246810003
Tumor
0.0
CPT0237840004
Tumor
0.0
CPT0198440004
Normal
0.0
CPT0083270003
Tumor
0.0
CPT0077860003
Tumor
0.0
CPT0124000003
Normal
0.0
CPT0238610009
Tumor
0.0
CPT0254680003
Tumor
0.0
CPT0077790004
Tumor
0.0
CPT0086190004
Tumor
0.0
WU-PDA1
Tumor
0.0
CPT0093860003
Tumor
-0.1
CPT0238710004
Tumor
-0.1
CPT0208690004
Tumor
-0.1
CPT0123990003
Tumor
-0.1
CPT0208840004
Tumor
-0.1
CPT0125010003
Normal
-0.1
CPT0161990005
Tumor
-0.1
CPT0078160004
Tumor
-0.1
CPT0124610004
Tumor
-0.1
CPT0241320005
Tumor
-0.1
CPT0239100009
Tumor
-0.1
CPT0236560004
Tumor
-0.1
CPT0221470005
Tumor
-0.1
CPT0094740004
Tumor
-0.1
CPT0001730017
Tumor
-0.1
CPT0207990004
Normal
-0.1
CPT0166760004
Tumor
-0.1
CPT0063570003
Tumor
-0.1
CPT0276010003
Tumor
-0.1
CPT0246210004
Tumor
-0.2
CPT0161770004
Tumor
-0.2
CPT0247040003
Tumor
-0.2
CPT0094130004
Tumor
-0.2
CPT0088320003
Tumor
-0.2
CPT0246720003
Tumor
-0.2
CPT0123750003
Tumor
-0.2
CPT0207980005
Tumor
-0.2
CPT0239910004
Tumor
-0.2
CPT0208550005
Tumor
-0.2
CPT0217700004
Tumor
-0.2
CPT0092630003
Tumor
-0.2
CPT0086210003
Normal
-0.2
CPT0226530004
Tumor
-0.2
CPT0238440005
Tumor
-0.2
CPT0077930004
Tumor
-0.2
CPT0221240004
Tumor
-0.2
CPT0238040005
Tumor
-0.2
CPT0064090003
Tumor
-0.2
CPT0081260004
Tumor
-0.2
CPT0063970004
Tumor
-0.2
CPT0017040004
Tumor
-0.2
CPT0209640005
Tumor
-0.2
CPT0001750003
Normal
-0.2
CPT0237270005
Tumor
-0.2
CPT0088180004
Tumor
-0.2
CPT0226760004
Tumor
-0.3
CPT0094630004
Tumor
-0.3
CPT0218200004
Tumor
-0.3
CPT0139000004
Tumor
-0.3
CPT0019410004
Tumor
-0.3
CPT0065640003
Tumor
-0.3
CPT0264150003
Tumor
-0.3
CPT0077880003
Normal
-0.3
CPT0226650004
Tumor
-0.3
CPT0236340004
Tumor
-0.3
CPT0246840003
Tumor
-0.3
CPT0355180003
Normal
-0.3
CPT0198700005
Tumor
-0.3
CPT0236700005
Tumor
-0.3
CPT0185920004
Tumor
-0.3
CPT0197440004
Normal
-0.3
CPT0094230004
Tumor
-0.3
CPT0109300004
Tumor
-0.3
CPT0237910004
Tumor
-0.3
CPT0226490004
Tumor
-0.3
CPT0124360003
Tumor
-0.3
CPT0109010004
Tumor
-0.3
CPT0126160004
Tumor
-0.3
CPT0207780004
Tumor
-0.3
CPT0162760003
Tumor
-0.3
CPT0124410004
Tumor
-0.4
CPT0081060004
Tumor
-0.4
CPT0125090003
Tumor
-0.4
CPT0162660004
Tumor
-0.4
CPT0078090004
Tumor
-0.4
CPT0108400003
Tumor
-0.4
CPT0014040003
Tumor
-0.4
CPT0236780005
Tumor
-0.4
CPT0170240004
Tumor
-0.4
CPT0241510004
Normal
-0.4
CPT0238920004
Tumor
-0.4
CPT0025750003
Tumor
-0.4
CPT0064570003
Normal
-0.4
CPT0066020003
Normal
-0.4
CPT0081470004
Tumor
-0.4
CPT0064110003
Normal
-0.4
C3L-00401-04
Normal
-0.4
CPT0198420004
Tumor
-0.4
CPT0000250017
Tumor
-0.4
CPT0008750003
Tumor
-0.4
CPT0226570004
Tumor
-0.5
CPT0011520003
Tumor
-0.5
CPT0108930003
Tumor
-0.5
CPT0078250003
Tumor
-0.5
CPT0138990003
Normal
-0.5
CPT0203850004
Tumor
-0.5
CPT0124530003
Normal
-0.5
CPT0089720003
Tumor
-0.5
KoreanReference1
Tumor
-0.5
CPT0187930005
Tumor
-0.5
CPT0186040004
Tumor
-0.5
CPT0248410004
Tumor
-0.5
CPT0162670004
Normal
-0.5
CPT0187550004
Tumor
-0.5
CPT0238820005
Tumor
-0.5
CPT0224460004
Tumor
-0.6
CPT0246990003
Tumor
-0.6
CPT0198910005
Tumor
-0.6
KoreanReference3
Tumor
-0.6
CPT0183450005
Tumor
-0.6
CPT0093980004
Tumor
-0.6
CPT0124980004
Tumor
-0.6
CPT0226680005
Tumor
-0.6
CPT0246940003
Tumor
-0.7
CPT0197420004
Tumor
-0.7
CPT0109200004
Tumor
-0.7
KoreanReference2
Tumor
-0.7
CPT0078000003
Tumor
-0.7
CPT0088260004
Tumor
-0.7
CPT0246260004
Tumor
-0.7
CPT0078030003
Normal
-0.7
CPT0008800003
Tumor
-0.7
CPT0183750005
Tumor
-0.7
CPT0174800003
Normal
-0.7
CPT0238530005
Tumor
-0.7
CPT0127270003
Tumor
-0.8
CPT0241500004
Tumor
-0.8
CPT0226610004
Normal
-0.8
CPT0174700004
Tumor
-0.8
CPT0087890004
Tumor
-0.8
CPT0094940004
Tumor
-0.8
CPT0209310004
Tumor
-0.9
CPT0247000003
Normal
-1.1
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.