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CANCER PANCREATIC CANCER Show tissue menu
BREAST CANCER CARCINOID CERVICAL CANCER COLORECTAL CANCER ENDOMETRIAL CANCER GLIOMA HEAD AND NECK CANCER LIVER CANCER LUNG CANCER LYMPHOMA
MELANOMA OVARIAN CANCER PANCREATIC CANCER PROSTATE CANCER RENAL CANCER SKIN CANCER STOMACH CANCER TESTIS CANCER THYROID CANCER UROTHELIAL CANCER
PAAD TCGA PAAD VALIDATION PROTEIN PDAC CPTAC
Dictionary
Pancreatic cancer
Human cancer
Pancreatic adenocarcinoma
PANCREATIC ADENOCARCINOMA (TCGA) - 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.

RPS8 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.

: 2073.12
Median expressioni

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.

: N/A
Median follow up timei

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 2057.8
Number of samples 176
Samples
Sample Description pTPM
TCGA-FB-AAQ2-01A 81 years, female, white, stage:Stage IIB, dead, 153 days 4492.6
TCGA-Z5-AAPL-01A 74 years, female, white, stage:Stage IIA, alive, 467 days 3916.6
TCGA-Q3-A5QY-01A 58 years, male, white, stage:Stage IIB, alive, 416 days 3576.8
TCGA-FB-A5VM-01A 74 years, male, white, stage:Stage IB, dead, 498 days 3412.0
TCGA-IB-7889-01A 85 years, female, white, stage:Stage IIB, dead, 481 days 3357.5
TCGA-HV-A7OP-01A 72 years, male, asian, stage:Stage IIB, alive, 978 days 3305.7
TCGA-HZ-A9TJ-01A 70 years, male, white, stage:Stage IV, alive, 603 days 3304.1
TCGA-RL-AAAS-01A 60 years, female, white, stage:Stage IB, alive, 9 days 3269.9
TCGA-IB-A6UF-01A 63 years, male, white, stage:Stage IIB, alive, 666 days 3177.2
TCGA-IB-7886-01A 80 years, male, white, stage:Stage IIB, dead, 123 days 3147.4
TCGA-IB-7644-01A 65 years, female, white, stage:Stage IV, dead, 394 days 3102.4
TCGA-HZ-8001-01A 69 years, male, white, stage:Stage III, alive, 706 days 3085.1
TCGA-IB-AAUR-01A 67 years, male, white, stage:Stage IIB, alive, 338 days 3063.0
TCGA-2J-AAB6-01A 75 years, male, white, stage:Stage IIA, dead, 293 days 3062.7
TCGA-IB-A7M4-01A 81 years, male, white, stage:Stage IIB, alive, 483 days 3017.6
TCGA-FB-AAQ3-01A 65 years, female, white, stage:Stage IIB, dead, 31 days 2872.1
TCGA-IB-7887-01A 62 years, female, white, stage:Stage IIB, dead, 110 days 2847.1
TCGA-US-A77J-01A 81 years, female, white, stage:Stage IIB, dead, 568 days 2811.6
TCGA-FB-AAPZ-01A 54 years, male, white, stage:Stage IIB, alive, 716 days 2780.6
TCGA-H6-8124-01A 56 years, female, white, stage:Stage IIB, alive, 392 days 2766.4
TCGA-HZ-7920-01A 71 years, male, white, stage:Stage IB, dead, 236 days 2747.0
TCGA-IB-7893-01A 64 years, male, white, stage:Stage IIA, dead, 117 days 2696.7
TCGA-IB-7888-01A 66 years, female, black or african american, stage:Stage IIA, dead, 1332 days 2674.6
TCGA-HZ-8002-01A 61 years, male, white, stage:Stage IIB, dead, 366 days 2648.6
TCGA-Q3-AA2A-01A 64 years, female, white, stage:Stage IB, alive, 95 days 2637.5
TCGA-FB-AAQ6-01A 85 years, male, white, stage:Stage IA, dead, 244 days 2635.6
TCGA-IB-AAUP-01A 68 years, male, white, stage:Stage IIB, alive, 431 days 2628.9
TCGA-2J-AABP-01A 58 years, female, white, stage:Stage IIB, alive, 463 days 2607.1
TCGA-XN-A8T5-01A 53 years, female, white, stage:Stage IB, alive, 720 days 2592.3
TCGA-F2-A44G-01A 79 years, female, white, stage:Stage IIB, dead, 233 days 2567.1
TCGA-IB-AAUV-01A 49 years, male, white, stage:Stage IIB, alive, 404 days 2503.6
TCGA-US-A776-01A 61 years, male, white, stage:Stage IIA, alive, 1216 days 2495.4
TCGA-FB-AAPU-01A 41 years, female, asian, stage:Stage IIA, dead, 381 days 2493.8
TCGA-XD-AAUG-01A 66 years, female, white, stage:Stage IV, alive, 420 days 2449.5
TCGA-3A-A9IZ-01A 47 years, male, white, stage:Stage IIB, dead, 308 days 2446.6
TCGA-2J-AABI-01A 55 years, female, white, stage:Stage IIA, alive, 969 days 2421.0
TCGA-FB-AAQ0-01A 68 years, male, white, stage:Stage IIA, dead, 473 days 2401.2
TCGA-HV-A7OL-01A 70 years, male, asian, stage:Stage IIA, alive, 252 days 2384.7
TCGA-3A-A9IB-01A 69 years, female, white, stage:Stage IIB, dead, 224 days 2372.6
TCGA-IB-AAUO-01A 64 years, female, white, stage:Stage IIB, dead, 239 days 2369.7
TCGA-F2-6879-01A 57 years, male, white, stage:Stage IIB, dead, 334 days 2369.3
TCGA-F2-A8YN-01A 76 years, male, white, stage:Stage IIA, alive, 517 days 2367.2
TCGA-XD-AAUI-01A 50 years, female, white, stage:Stage IIB, dead, 366 days 2359.2
TCGA-HZ-A49H-01A 68 years, female, white, stage:Stage IIB, alive, 491 days 2348.2
TCGA-HZ-7925-01A 66 years, male, white, stage:Stage IIB, dead, 614 days 2343.7
TCGA-IB-A5ST-01A 64 years, female, white, stage:Stage IIB, alive, 635 days 2317.9
TCGA-3A-A9IJ-01A 65 years, male, white, stage:Stage IB, alive, 1854 days 2314.9
TCGA-IB-A7LX-01A 57 years, male, white, stage:Stage IIB, dead, 250 days 2310.0
TCGA-HV-A5A3-01A 50 years, male, asian, stage:Stage IIA, dead, 128 days 2285.3
TCGA-3A-A9IX-01A 40 years, male, white, stage:Stage IA, alive, 1037 days 2279.7
TCGA-FB-AAQ1-01A 49 years, male, white, stage:Stage IIB, dead, 123 days 2278.9
TCGA-IB-7645-01A 44 years, female, stage:Stage IIB, dead, 1502 days 2278.6
TCGA-2J-AABU-01A 56 years, male, white, stage:Stage IIB, dead, 277 days 2277.4
TCGA-US-A779-01A 54 years, female, white, stage:Stage IIB, dead, 511 days 2268.5
TCGA-IB-A5SQ-01A 56 years, female, white, stage:Stage IB, dead, 219 days 2249.5
TCGA-2J-AABA-01A 55 years, male, white, stage:Stage IIB, dead, 607 days 2238.9
TCGA-IB-7897-01A 53 years, female, white, stage:Stage IIB, dead, 486 days 2237.3
TCGA-IB-AAUW-01A 63 years, female, white, stage:Stage IIB, dead, 230 days 2231.2
TCGA-2J-AAB1-01A 65 years, male, white, stage:Stage IIB, dead, 66 days 2230.0
TCGA-XD-AAUH-01A 57 years, female, white, stage:Stage IIB, alive, 395 days 2222.0
TCGA-2J-AABK-01A 71 years, male, white, stage:Stage IIB, alive, 484 days 2186.6
TCGA-HZ-7289-01A 77 years, male, white, stage:Stage IIB, dead, 661 days 2183.1
TCGA-2L-AAQL-01A 82 years, male, white, stage:Stage IIB, dead, 292 days 2178.6
TCGA-HZ-7922-01A 61 years, female, white, stage:Stage IIB, alive, 4 days 2158.0
TCGA-FB-AAPS-01A 62 years, female, white, stage:Stage IIB, alive, 228 days 2140.8
TCGA-HZ-7919-01A 52 years, female, white, stage:Stage IIB, dead, 593 days 2120.5
TCGA-FB-A545-01A 72 years, female, white, stage:Stage IIB, dead, 732 days 2116.4
TCGA-IB-A6UG-01A 65 years, male, white, stage:Stage IIB, dead, 41 days 2113.8
TCGA-3A-A9IC-01A 61 years, female, white, stage:Stage IIB, dead, 738 days 2085.6
TCGA-HZ-8315-01A 54 years, female, white, stage:Stage IIA, dead, 299 days 2085.1
TCGA-IB-AAUQ-01A 50 years, male, white, stage:Stage IIB, dead, 183 days 2081.3
TCGA-F2-7276-01A 64 years, male, white, stage:Stage IIB, dead, 216 days 2073.1
TCGA-FB-AAPY-01A 71 years, male, white, stage:Stage IIB, dead, 1059 days 2065.2
TCGA-H8-A6C1-01A 53 years, male, white, stage:Stage IIA, alive, 671 days 2063.4
TCGA-HZ-8005-01A 81 years, male, white, stage:Stage IIB, dead, 120 days 2061.8
TCGA-3E-AAAY-01A 67 years, male, white, stage:Stage IIB, alive, 2285 days 2061.2
TCGA-3A-A9J0-01A 75 years, male, white, stage:Stage IIB, alive, 743 days 2057.6
TCGA-IB-7649-01A 73 years, female, stage:Stage IIB, dead, 467 days 2056.0
TCGA-3A-A9IR-01A 64 years, female, white, stage:Stage IB, alive, 1542 days 2053.4
TCGA-XN-A8T3-01A 67 years, male, white, stage:Stage IB, alive, 951 days 2044.4
TCGA-RB-A7B8-01A 81 years, female, white, stage:Stage IIB, dead, 466 days 2042.2
TCGA-2L-AAQE-01A 56 years, male, white, stage:Stage IIB, dead, 684 days 2039.2
TCGA-HZ-7924-01A 60 years, female, white, stage:Stage IIA, alive, 840 days 1993.2
TCGA-IB-AAUS-01A 84 years, female, white, stage:Stage IIB, alive, 225 days 1983.3
TCGA-FB-A4P5-01A 69 years, female, white, stage:Stage IIB, dead, 179 days 1982.9
TCGA-HZ-8636-01A 58 years, female, white, stage:Stage IV, dead, 545 days 1975.6
TCGA-3E-AAAZ-01A 71 years, male, white, stage:Stage IIA, dead, 2182 days 1969.1
TCGA-IB-7885-01A 78 years, female, white, stage:Stage IIB, alive, 1257 days 1964.0
TCGA-OE-A75W-01A 75 years, male, white, stage:Stage IIA, dead, 267 days 1962.4
TCGA-2J-AAB8-01A 71 years, male, white, stage:Stage IIB, alive, 80 days 1960.5
TCGA-F2-A44H-01A 65 years, male, white, stage:Stage IIA, alive, 586 days 1948.9
TCGA-LB-A8F3-01A 64 years, female, black or african american, stage:Stage IIA, alive, 379 days 1943.5
TCGA-FB-A78T-01A 71 years, female, white, stage:Stage IIB, dead, 375 days 1938.0
TCGA-2J-AABT-01A 72 years, female, white, stage:Stage IIB, alive, 319 days 1937.1
TCGA-2J-AABE-01A 73 years, male, white, stage:Stage IIA, alive, 676 days 1912.5
TCGA-F2-7273-01A 54 years, male, black or african american, stage:Stage IIB, dead, 592 days 1911.5
TCGA-2J-AABR-01A 60 years, female, white, stage:Stage IIA, alive, 438 days 1910.9
TCGA-HZ-7923-01A 65 years, male, white, stage:Stage IIA, alive, 314 days 1906.6
TCGA-HZ-A49I-01A 77 years, male, white, stage:Stage IIB, dead, 308 days 1906.5
TCGA-PZ-A5RE-01A 44 years, female, white, stage:Stage IIB, dead, 470 days 1899.0
TCGA-IB-AAUT-01A 65 years, male, white, stage:Stage IIB, alive, 287 days 1896.1
TCGA-HZ-A77P-01A 77 years, male, white, stage:Stage IIB, alive, 330 days 1891.6
TCGA-HZ-7926-01A 57 years, male, black or african american, stage:Stage IIB, dead, 518 days 1884.4
TCGA-3A-A9IH-01A 66 years, female, white, stage:Stage IA, alive, 1021 days 1873.4
TCGA-IB-7890-01A 73 years, male, stage:Stage IB, dead, 598 days 1869.4
TCGA-YY-A8LH-01A 61 years, female, white, stage:Stage IIB, alive, 2016 days 1868.4
TCGA-L1-A7W4-01A 48 years, female, white, stage:Stage IIB, dead, 278 days 1864.7
TCGA-F2-A7TX-01A 77 years, male, white, stage:Stage IIB, dead, 95 days 1850.3
TCGA-3A-A9IU-01A 65 years, male, white, stage:Stage IIB, dead, 458 days 1849.4
TCGA-2L-AAQM-01A 52 years, male, white, stage:Stage IIB, alive, 1383 days 1848.4
TCGA-HV-A5A4-01A 72 years, female, asian, stage:Stage IIA, alive, 232 days 1841.2
TCGA-S4-A8RP-01A 77 years, female, white, stage:Stage IIB, dead, 702 days 1838.6
TCGA-2J-AABV-01A 74 years, male, white, stage:Stage IIB, dead, 652 days 1831.2
TCGA-HZ-A77Q-01A 55 years, female, white, stage:Stage IIB, alive, 33 days 1828.1
TCGA-3A-A9I5-01A 57 years, male, white, stage:'--, alive, 1794 days 1827.2
TCGA-IB-A5SP-01A 77 years, male, white, stage:Stage IIA, alive, 482 days 1816.6
TCGA-YB-A89D-01A 59 years, male, white, stage:Stage IIB, alive, 350 days 1803.7
TCGA-IB-7891-01A 49 years, female, white, stage:Stage IIB, dead, 913 days 1790.7
TCGA-H6-A45N-01A 88 years, female, white, stage:Stage IIB, dead, 397 days 1789.2
TCGA-US-A774-01A 76 years, female, white, stage:Stage IIB, dead, 695 days 1786.8
TCGA-HZ-A49G-01A 58 years, female, white, stage:Stage IIB, alive, 660 days 1785.9
TCGA-IB-A5SO-01A 71 years, male, white, stage:Stage IIB, dead, 365 days 1775.4
TCGA-HZ-8519-01A 73 years, male, white, stage:Stage IA, alive, 454 days 1769.6
TCGA-HV-AA8V-01A 50 years, male, asian, stage:Stage IIB, alive, 920 days 1753.0
TCGA-HZ-A4BH-01A 75 years, male, white, stage:Stage IIB, alive, 194 days 1750.7
TCGA-YH-A8SY-01A 73 years, female, white, stage:'--, alive, 388 days 1726.6
TCGA-FB-A4P6-01A 54 years, male, white, stage:Stage IIB, alive, 767 days 1724.6
TCGA-IB-8127-01A 59 years, male, white, stage:Stage IIB, alive, 522 days 1714.6
TCGA-2J-AABO-01A 43 years, male, white, stage:Stage IIB, alive, 440 days 1713.8
TCGA-2J-AAB4-01A 48 years, male, white, stage:Stage IIB, alive, 729 days 1707.5
TCGA-3A-A9I7-01A 45 years, male, black or african american, stage:Stage IIB, alive, 1323 days 1691.4
TCGA-HZ-7918-01A 72 years, male, white, stage:Stage IIB, alive, 969 days 1684.6
TCGA-2J-AAB9-01A 70 years, female, white, stage:Stage IIB, dead, 627 days 1682.9
TCGA-RB-AA9M-01A 43 years, male, white, stage:Stage IIB, alive, 286 days 1681.5
TCGA-HV-A5A6-01A 65 years, female, asian, stage:Stage IIB, dead, 2036 days 1674.5
TCGA-XD-AAUL-01A 56 years, male, white, stage:Stage IIA, alive, 498 days 1670.3
TCGA-S4-A8RO-01A 75 years, female, white, stage:Stage IIB, alive, 525 days 1655.3
TCGA-HZ-8637-01A 76 years, female, white, stage:Stage IIB, dead, 517 days 1639.1
TCGA-FB-AAPP-01A 71 years, male, white, stage:Stage IIB, dead, 485 days 1628.2
TCGA-LB-A7SX-01A 74 years, female, black or african american, stage:Stage IIB, dead, 393 days 1625.3
TCGA-2J-AABF-01A 73 years, male, white, stage:Stage IIB, dead, 691 days 1614.2
TCGA-IB-7654-01A 80 years, male, white, stage:Stage IIB, dead, 476 days 1597.2
TCGA-HZ-8638-01A 84 years, female, white, stage:Stage IA, dead, 151 days 1593.1
TCGA-US-A77E-01A 73 years, male, white, stage:Stage IIB, dead, 430 days 1578.6
TCGA-HZ-A4BK-01A 72 years, male, white, stage:Stage IIB, alive, 657 days 1577.6
TCGA-IB-7652-01A 49 years, female, asian, stage:Stage IIB, alive, 1116 days 1567.9
TCGA-US-A77G-01A 64 years, male, white, stage:Stage IIB, dead, 12 days 1544.6
TCGA-IB-A5SS-01A 64 years, female, white, stage:Stage IIB, dead, 460 days 1538.0
TCGA-3A-A9IL-01A 39 years, female, white, stage:Stage I, alive, 2741 days 1524.1
TCGA-3A-A9IO-01A 55 years, male, white, stage:'--, alive, 1942 days 1521.8
TCGA-IB-AAUM-01A 76 years, male, white, stage:Stage IIB, alive, 8 days 1513.9
TCGA-2L-AAQJ-01A 49 years, female, white, stage:Stage III, dead, 394 days 1501.3
TCGA-IB-7646-01A 60 years, male, white, stage:Stage IIB, dead, 145 days 1500.9
TCGA-3A-A9IN-01A 62 years, female, white, stage:Stage IB, alive, 2084 days 1491.4
TCGA-IB-AAUU-01A 35 years, male, white, stage:Stage IIB, alive, 245 days 1465.6
TCGA-FB-A7DR-01A 48 years, male, asian, stage:Stage IIA, dead, 353 days 1435.6
TCGA-IB-7651-01A 64 years, female, white, stage:Stage IIB, dead, 603 days 1435.4
TCGA-HZ-A77O-01A 77 years, female, white, stage:Stage IIB, dead, 160 days 1434.4
TCGA-2L-AAQI-01A 66 years, male, white, stage:Stage IIB, dead, 103 days 1432.2
TCGA-HV-A5A5-01A 61 years, female, asian, stage:Stage IIB, alive, 289 days 1412.4
TCGA-M8-A5N4-01A 48 years, female, stage:Stage IIA, alive, 584 days 1412.1
TCGA-3A-A9I9-01A 67 years, male, white, stage:Stage IIA, dead, 634 days 1398.2
TCGA-2L-AAQA-01A 76 years, male, white, stage:Stage IIB, dead, 143 days 1373.1
TCGA-FB-AAPQ-01A 65 years, male, white, stage:Stage IIB, dead, 1130 days 1349.7
TCGA-HZ-8317-01A 69 years, female, white, stage:Stage IIB, dead, 378 days 1339.0
TCGA-HZ-A8P1-01A 81 years, male, white, stage:Stage IB, alive, 7 days 1333.2
TCGA-IB-AAUN-01A 74 years, female, white, stage:Stage IB, dead, 144 days 1236.5
TCGA-LB-A9Q5-01A 63 years, female, white, stage:Stage IIB, dead, 313 days 1208.7
TCGA-3A-A9IV-01A 59 years, female, white, stage:Stage IB, alive, 1103 days 1150.5
TCGA-HV-AA8X-01A 75 years, female, asian, stage:Stage IIB, dead, 532 days 1147.8
TCGA-2J-AABH-01A 61 years, male, white, stage:Stage IIA, alive, 1287 days 1141.7
TCGA-S4-A8RM-01A 67 years, male, white, stage:Stage IIB, alive, 737 days 1053.7
TCGA-3A-A9IS-01A 67 years, male, white, stage:Stage IB, alive, 998 days 1048.4
TCGA-IB-8126-01A 79 years, female, white, stage:Stage III, alive, 462 days 1002.4
TCGA-HZ-8003-01A 65 years, female, white, stage:Stage IIB, dead, 596 days 945.5
TCGA-F2-6880-01A 70 years, male, white, stage:Stage IIB, alive, 295 days 826.2
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PANCREATIC ADENOCARCINOMA (VALIDATION) - 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.

RPS8 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.

: 1253.95
Median expressioni

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.

: N/A
Median follow up timei

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 1259.9
Number of samples 80
Samples
Sample Description pTPM
DO34961 71 years, male, NA, stage:, dead, 632 days 3842.0
DO49079 50 years, male, NA, stage:, dead, 332 days 3531.3
DO33512 female, NA, stage:, dead, 499 days 2613.0
DO34905 64 years, male, NA, stage:, alive, 1142 days 2587.2
DO33400 76 years, female, NA, stage:, alive, 1043 days 2570.4
DO34504 37 years, male, NA, stage:, dead, 257 days 2348.8
DO34785 67 years, female, NA, stage:, alive, 721 days 2235.3
DO33368 81 years, male, NA, stage:, dead, 98 days 2064.7
DO49204 67 years, male, NA, stage:, dead, 156 days 2056.0
DO34616 68 years, female, NA, stage:, alive, 666 days 2018.7
DO49090 77 years, female, NA, stage:, dead, 152 days 1856.4
DO34801 60 years, male, NA, stage:, alive, 626 days 1757.9
DO34240 72 years, male, NA, stage:, dead, 236 days 1698.0
DO34264 63 years, female, NA, stage:, dead, 1144 days 1679.4
DO34656 61 years, female, NA, stage:, alive, 834 days 1669.7
DO34680 75 years, male, NA, stage:, dead, 99 days 1622.0
DO49137 67 years, female, NA, stage:, alive, 232 days 1620.9
DO49113 46 years, female, NA, stage:, alive, 413 days 1602.1
DO49080 60 years, male, NA, stage:, alive, 83 days 1575.9
DO34809 74 years, female, NA, stage:, dead, 297 days 1535.0
DO34817 72 years, female, NA, stage:, alive, 540 days 1508.2
DO49129 50 years, male, NA, stage:, alive, 337 days 1453.8
DO49130 76 years, female, NA, stage:, alive, 351 days 1432.6
DO34288 83 years, female, NA, stage:, dead, 220 days 1411.4
DO32863 60 years, male, NA, stage:, dead, 715 days 1373.9
DO49193 60 years, male, NA, stage:, dead, 1 days 1337.8
DO34640 49 years, female, NA, stage:, dead, 287 days 1337.0
DO34448 79 years, female, NA, stage:, dead, 719 days 1325.3
DO33480 52 years, male, NA, stage:, alive, 1054 days 1295.5
DO32878 69 years, female, NA, stage:, dead, 260 days 1257.8
DO34849 86 years, female, NA, stage:, dead, 272 days 1256.3
DO49164 70 years, male, NA, stage:, alive, 272 days 1251.6
DO33552 70 years, female, NA, stage:, alive, 873 days 1247.1
DO33488 61 years, male, NA, stage:, alive, 844 days 1245.0
DO49133 55 years, female, NA, stage:, alive, 188 days 1212.8
DO49127 77 years, female, NA, stage:, alive, 392 days 1203.9
DO33336 67 years, female, NA, stage:, dead, 451 days 1174.0
DO34728 77 years, female, NA, stage:, alive, 508 days 1171.5
DO34312 58 years, female, NA, stage:, dead, 226 days 1144.1
DO34696 75 years, male, NA, stage:, alive, 689 days 1137.6
DO34600 77 years, male, NA, stage:, dead, 537 days 1119.0
DO49087 68 years, female, NA, stage:, dead, 260 days 1118.7
DO34793 56 years, male, NA, stage:, dead, 427 days 1108.8
DO33392 70 years, male, NA, stage:, alive, 1014 days 1095.3
DO34368 64 years, female, NA, stage:, dead, 537 days 1087.0
DO32900 51 years, male, NA, stage:, dead, 768 days 1074.1
DO49135 65 years, male, NA, stage:, alive, 270 days 1067.0
DO32860 57 years, male, NA, stage:, dead, 1259 days 1059.9
DO49138 74 years, male, NA, stage:, dead, 230 days 1050.7
DO34736 78 years, female, NA, stage:, dead, 203 days 1049.4
DO49166 40 years, female, NA, stage:, alive, 222 days 1035.4
DO49170 67 years, male, NA, stage:, alive, 197 days 1015.9
DO32875 69 years, male, NA, stage:, dead, 348 days 997.0
DO49185 55 years, male, NA, stage:, alive, 179 days 996.5
DO34720 68 years, male, NA, stage:, alive, 555 days 973.1
DO33472 75 years, female, NA, stage:, dead, 388 days 971.6
DO49181 77 years, male, NA, stage:, dead, 1534 days 966.4
DO34608 72 years, female, NA, stage:, dead, 709 days 927.6
DO33344 70 years, male, NA, stage:, dead, 361 days 903.7
DO49178 58 years, male, NA, stage:, dead, 27 days 874.5
DO33128 72 years, male, NA, stage:, dead, 423 days 853.4
DO32829 78 years, female, NA, stage:T2N0MX, dead, 1874 days 848.0
DO49076 64 years, male, NA, stage:, dead, 480 days 803.6
DO33408 68 years, female, NA, stage:, alive, 909 days 803.6
DO49168 58 years, male, NA, stage:, alive, 149 days 776.0
DO33376 62 years, female, NA, stage:, alive, 909 days 759.3
DO33544 83 years, female, NA, stage:, dead, 412 days 745.8
DO33984 64 years, male, NA, stage:, alive, 847 days 738.5
DO49078 79 years, male, NA, stage:, dead, 465 days 721.2
DO49183 51 years, female, NA, stage:, dead, 429 days 686.0
DO33168 80 years, female, NA, stage:, dead, 8 days 683.8
DO33600 77 years, female, NA, stage:, alive, 854 days 660.1
DO34432 82 years, female, NA, stage:, dead, 400 days 559.0
DO49172 60 years, female, NA, stage:, dead, 1021 days 520.8
DO49074 49 years, male, NA, stage:, dead, 168 days 469.5
DO49198 61 years, female, NA, stage:, dead, 251 days 396.3
DO49175 68 years, male, NA, stage:, dead, 414 days 385.3
DO49199 52 years, male, NA, stage:, dead, 1095 days 341.7
DO49184 56 years, male, NA, stage:, dead, 455 days 268.9
DO34336 70 years, female, NA, stage:, alive, 743 days 25.0
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PANCREATIC DUCTAL ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples 235
Samples
Sample ID Sample type nRPX
CPT0238740004 Normal 0.8
CPT0248440003 Normal 0.6
CPT0127290003 Normal 0.6
CPT0347820002 Normal 0.6
CPT0236800004 Normal 0.6
CPT0123460003 Normal 0.5
CPT0123890003 Normal 0.5
CPT0238940004 Normal 0.5
CPT0170260004 Normal 0.5
CPT0208850004 Normal 0.4
CPT0091680003 Normal 0.4
CPT0246950003 Normal 0.4
CPT0239920004 Normal 0.4
C3N-02573-03 Normal 0.4
CPT0209650004 Normal 0.4
CPT0011540003 Normal 0.4
CPT0218220004 Normal 0.4
CPT0347880002 Normal 0.3
C3N-00709-06 Normal 0.3
CPT0239140004 Normal 0.3
CPT0089750004 Normal 0.3
CPT0183770004 Normal 0.3
CPT0276030003 Normal 0.3
CPT0017130003 Normal 0.2
CPT0063580003 Normal 0.2
CPT0208710004 Normal 0.2
CPT0347850002 Normal 0.2
CPT0187540004 Normal 0.2
CPT0089720003 Tumor 0.2
CPT0161990005 Tumor 0.2
CPT0077810003 Normal 0.2
CPT0248620003 Normal 0.2
CPT0162780004 Normal 0.2
CPT0064570003 Normal 0.1
CPT0238640004 Normal 0.1
CPT0241320005 Tumor 0.1
C3L-00189-04 Normal 0.1
CPT0166780004 Normal 0.1
WU-PDA1 Tumor 0.1
CPT0019300004 Tumor 0.1
CPT0236340004 Tumor 0.1
CPT0064090003 Tumor 0.1
CPT0237850004 Normal 0.1
CPT0247040003 Tumor 0.1
CPT0221240004 Tumor 0.1
CPT0237840004 Tumor 0.1
CPT0236700005 Tumor 0.0
CPT0264150003 Tumor 0.0
CPT0063570003 Tumor 0.0
C3L-00401-04 Normal 0.0
CPT0246810003 Tumor 0.0
CPT0123670003 Normal 0.0
CPT0236560004 Tumor 0.0
CPT0347760002 Normal 0.0
CPT0247090003 Tumor 0.0
CPT0083270003 Tumor 0.0
CPT0019410004 Tumor 0.0
CPT0138990003 Normal 0.0
CPT0077860003 Tumor 0.0
CPT0064520004 Tumor 0.0
CPT0238610009 Tumor 0.0
CPT0217700004 Tumor 0.0
CPT0014040003 Tumor 0.0
CPT0124610004 Tumor 0.0
CPT0239910004 Tumor 0.0
CPT0198700005 Tumor 0.0
CPT0077930004 Tumor 0.0
CPT0226600004 Tumor 0.0
CPT0123770003 Normal 0.0
CPT0078090004 Tumor 0.0
CPT0081060004 Tumor -0.1
CPT0239100009 Tumor -0.1
CPT0185920004 Tumor -0.1
CPT0124000003 Normal -0.1
CPT0161770004 Tumor -0.1
CPT0094230004 Tumor -0.1
CPT0237920004 Normal -0.1
CPT0207780004 Tumor -0.1
CPT0248410004 Tumor -0.1
CPT0226650004 Tumor -0.1
CPT0187930005 Tumor -0.1
CPT0226760004 Tumor -0.1
CPT0123650003 Tumor -0.1
CPT0236360004 Normal -0.1
CPT0078180003 Normal -0.1
CPT0198930003 Normal -0.1
CPT0170240004 Tumor -0.1
CPT0209640005 Tumor -0.1
CPT0091660003 Tumor -0.1
C3L-03632-04 Normal -0.1
CPT0094740004 Tumor -0.1
CPT0208840004 Tumor -0.1
CPT0246260004 Tumor -0.1
CPT0218200004 Tumor -0.1
CPT0088320003 Tumor -0.1
CPT0065570003 Tumor -0.1
CPT0001730017 Tumor -0.1
CPT0237910004 Tumor -0.1
CPT0248590004 Tumor -0.1
CPT0124500004 Tumor -0.1
CPT0008750003 Tumor -0.1
CPT0236710004 Normal -0.1
CPT0235230004 Tumor -0.1
CPT0187550004 Tumor -0.1
CPT0246940003 Tumor -0.1
CPT0174800003 Normal -0.1
CPT0183750005 Tumor -0.2
CPT0126160004 Tumor -0.2
CPT0108960003 Normal -0.2
CPT0081470004 Tumor -0.2
CPT0088180004 Tumor -0.2
CPT0166760004 Tumor -0.2
CPT0025760003 Normal -0.2
CPT0238920004 Tumor -0.2
CPT0109300004 Tumor -0.2
CPT0241500004 Tumor -0.2
CPT0355200003 Normal -0.2
CPT0227930004 Tumor -0.2
CPT0246220004 Normal -0.2
CPT0226530004 Tumor -0.2
CPT0246720003 Tumor -0.2
CPT0078250003 Tumor -0.2
CPT0208690004 Tumor -0.2
CPT0008800003 Tumor -0.2
CPT0183450005 Tumor -0.2
CPT0162660004 Tumor -0.2
CPT0254680003 Tumor -0.2
CPT0238040005 Tumor -0.3
CPT0276010003 Tumor -0.3
CPT0093880003 Normal -0.3
CPT0124360003 Tumor -0.3
CPT0224460004 Tumor -0.3
CPT0226570004 Tumor -0.3
CPT0125130003 Tumor -0.3
CPT0077950003 Normal -0.3
CPT0246840003 Tumor -0.3
CPT0198420004 Tumor -0.3
CPT0081260004 Tumor -0.3
CPT0241510004 Normal -0.3
CPT0094180003 Tumor -0.3
CPT0226490004 Tumor -0.3
CPT0198910005 Tumor -0.3
CPT0081360004 Tumor -0.3
CPT0125090003 Tumor -0.3
CPT0123860003 Tumor -0.3
CPT0162760003 Tumor -0.3
CPT0108400003 Tumor -0.3
CPT0064110003 Normal -0.3
CPT0208550005 Tumor -0.3
CPT0207980005 Tumor -0.4
CPT0238820005 Tumor -0.4
CPT0246990003 Tumor -0.4
CPT0125010003 Normal -0.4
CPT0197440004 Normal -0.4
CPT0355180003 Normal -0.4
CPT0237270005 Tumor -0.4
CPT0109200004 Tumor -0.4
CPT0355190003 Normal -0.4
CPT0094940004 Tumor -0.4
CPT0197420004 Tumor -0.4
CPT0108930003 Tumor -0.4
CPT0247000003 Normal -0.4
CPT0238710004 Tumor -0.4
CPT0094030003 Tumor -0.4
CPT0162670004 Normal -0.4
CPT0203850004 Tumor -0.4
CPT0092630003 Tumor -0.4
CPT0221250004 Normal -0.4
KoreanReference1 Tumor -0.4
CPT0226680005 Tumor -0.4
CPT0065640003 Tumor -0.5
CPT0093930004 Tumor -0.5
CPT0238440005 Tumor -0.5
CPT0093860003 Tumor -0.5
CPT0139000004 Tumor -0.5
CPT0078030003 Normal -0.5
CPT0066020003 Normal -0.5
CPT0236780005 Tumor -0.5
CPT0025750003 Tumor -0.5
CPT0124980004 Tumor -0.5
CPT0124530003 Normal -0.5
CPT0123750003 Tumor -0.5
CPT0123440003 Tumor -0.5
CPT0109010004 Tumor -0.5
CPT0088260004 Tumor -0.5
CPT0198440004 Normal -0.5
KoreanReference3 Tumor -0.5
CPT0000250017 Tumor -0.6
CPT0078160004 Tumor -0.6
KoreanReference2 Tumor -0.6
CPT0226610004 Normal -0.6
CPT0077880003 Normal -0.6
CPT0094630004 Tumor -0.6
CPT0063970004 Tumor -0.6
CPT0086190004 Tumor -0.6
CPT0238530005 Tumor -0.7
CPT0186040004 Tumor -0.7
CPT0207990004 Normal -0.7
CPT0017040004 Tumor -0.7
CPT0347790002 Normal -0.7
CPT0221470005 Tumor -0.7
CPT0086210003 Normal -0.7
CPT0087890004 Tumor -0.7
CPT0123990003 Tumor -0.7
CPT0127270003 Tumor -0.7
CPT0093980004 Tumor -0.7
CPT0094130004 Tumor -0.7
CPT0001750003 Normal -0.7
CPT0246210004 Tumor -0.8
CPT0209310004 Tumor -0.8
CPT0174700004 Tumor -0.8
CPT0077790004 Tumor -0.8
CPT0078000003 Tumor -0.9
CPT0124410004 Tumor -0.9
CPT0011520003 Tumor -1.0
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
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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.

Pending cancer tissue analysis

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