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RPLP2
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  • SUMMARY

  • TISSUE

  • BRAIN

  • SINGLE CELL

  • SUBCELL

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  • STRUCT & INT

  • RPLP2
CANCER TESTIS 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
TGCT TCGA PROTEIN EXPRESSION
ANTIBODIES
AND
VALIDATION
Dictionary
Testis cancer
Human cancer
Testicular germ cell tumor
TESTICULAR GERM CELL TUMOR (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.

RPLP2 is not prognostic in Testicular Germ Cell Tumor (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.

: 4537.46
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 4721.2
Number of samples 133
Samples
Sample Description pTPM
TCGA-VF-A8AE-01A 39 years, male, white, stage:Stage IA, alive, 727 days 11542.9
TCGA-2G-AAGJ-01A 28 years, male, black or african american, stage:Stage IA, alive, 2938 days 10834.4
TCGA-XE-AAO6-01A 47 years, male, white, stage:Stage IA, alive, 240 days 9686.0
TCGA-WZ-A8D5-01A 38 years, male, white, stage:'--, alive, 774 days 9153.9
TCGA-2G-AAHL-01A 26 years, male, white, stage:Stage I, alive, 7081 days 8780.7
TCGA-2G-AAKL-01A 26 years, male, white, stage:Stage II, alive, 7023 days 8507.9
TCGA-2G-AAHP-01A 31 years, male, white, stage:Stage IS, alive, 5667 days 8501.7
TCGA-4K-AA1I-01A 26 years, male, white, stage:Stage IA, alive, 3 days 7804.8
TCGA-W4-A7U2-01A 26 years, male, white, stage:'--, alive, 1263 days 7746.7
TCGA-XE-AAOJ-01A 24 years, male, white, stage:Stage IS, alive, 1550 days 7532.5
TCGA-2G-AAH8-01A 45 years, male, white, stage:Stage IIIC, alive, 2248 days 7373.6
TCGA-2G-AAFO-01A 33 years, male, white, stage:Stage IIA, alive, 685 days 6812.3
TCGA-4K-AAAL-01A 31 years, male, white, stage:Stage IS, alive, 483 days 6809.8
TCGA-VF-A8AA-01A 51 years, male, white, stage:Stage I, alive, 1146 days 6716.8
TCGA-SB-A6J6-01A 22 years, male, white, stage:Stage IA, alive, 413 days 6662.1
TCGA-2G-AAKH-01A 19 years, male, white, stage:Stage II, alive, 6862 days 6484.4
TCGA-2G-AAFL-01A 35 years, male, white, stage:Stage IB, alive, 750 days 6387.9
TCGA-2G-AAFM-01A 31 years, male, white, stage:Stage IIA, alive, 503 days 6325.5
TCGA-2G-AAKD-01A 18 years, male, white, stage:Stage III, alive, 6340 days 6258.4
TCGA-2G-AAEX-01A 38 years, male, white, stage:Stage IS, alive, 1259 days 6202.6
TCGA-2G-AAFN-01A 26 years, male, white, stage:Stage IIIB, alive, 773 days 6180.9
TCGA-2G-AAF6-01A 28 years, male, white, stage:Stage IS, alive, 3491 days 6167.7
TCGA-2G-AAGT-01A 30 years, male, white, stage:Stage IS, alive, 4406 days 6167.1
TCGA-2G-AAL5-01A 31 years, male, white, stage:Stage I, alive, 7437 days 6125.8
TCGA-VF-A8AD-01A 36 years, male, white, stage:Stage IB, alive, 1006 days 6068.9
TCGA-YU-A90W-01A 45 years, male, white, stage:Stage IA, alive, 1113 days 6044.9
TCGA-2G-AAKM-01A 14 years, male, white, stage:Stage II, dead, 6972 days 5997.0
TCGA-2G-AAFE-01A 37 years, male, white, stage:Stage IIA, alive, 4702 days 5951.0
TCGA-VF-A8A8-01A 18 years, male, white, stage:Stage IA, alive, 1131 days 5949.2
TCGA-XE-AANJ-01A 39 years, male, white, stage:Stage IS, alive, 2007 days 5936.5
TCGA-ZM-AA0N-01A 44 years, male, white, stage:Stage IB, alive, 634 days 5786.9
TCGA-SO-A8JP-01A 29 years, male, white, stage:Stage I, alive, 540 days 5783.8
TCGA-S6-A8JX-01A 27 years, male, white, stage:Stage IB, alive, 552 days 5782.4
TCGA-2G-AAFG-01A 30 years, male, white, stage:Stage IS, alive, 6183 days 5757.3
TCGA-2G-AAH0-01A 30 years, male, white, stage:Stage IS, alive, 5477 days 5570.5
TCGA-2G-AALP-01A 43 years, male, white, stage:Stage IIIB, alive, 2645 days 5506.6
TCGA-X3-A8G4-01A 33 years, male, white, stage:Stage IS, alive, 856 days 5482.1
TCGA-VF-A8AC-01A 29 years, male, white, stage:Stage IA, alive, 1083 days 5464.0
TCGA-2G-AAGO-01A 41 years, male, white, stage:Stage IS, alive, 4026 days 5433.5
TCGA-YU-AA4L-01A 27 years, male, black or african american, stage:Stage IIIC, alive, 1573 days 5429.6
TCGA-S6-A8JY-01A 27 years, male, white, stage:Stage IS, alive, 278 days 5414.7
TCGA-XE-A9SE-01A 35 years, male, white, stage:Stage IA, alive, 708 days 5396.9
TCGA-VF-A8A9-01A 31 years, male, white, stage:Stage IA, alive, 1119 days 5391.6
TCGA-SN-A84X-01A 21 years, male, white, stage:Stage IS, alive, 312 days 5388.6
TCGA-2G-AAFI-01A 41 years, male, white, stage:Stage IB, alive, 675 days 5385.6
TCGA-YU-A94D-01A 28 years, male, stage:Stage IIIB, alive, 2167 days 5372.4
TCGA-2G-AAGA-01A 38 years, male, white, stage:Stage IIA, alive, 2439 days 5308.4
TCGA-XE-A8H4-01A 23 years, male, white, stage:Stage IA, alive, 559 days 5245.3
TCGA-2G-AAKG-01A 22 years, male, white, stage:Stage I, alive, 6598 days 5240.0
TCGA-ZM-AA06-01A 45 years, male, white, stage:Stage IB, alive, 1498 days 5121.2
TCGA-XE-AAO3-01A 33 years, male, asian, stage:Stage I, alive, 2857 days 5107.2
TCGA-2G-AAGW-01A 38 years, male, white, stage:Stage IS, alive, 4899 days 4977.6
TCGA-XE-AAOD-01A 39 years, male, white, stage:Stage IB, alive, 2058 days 4968.9
TCGA-2G-AAHC-01A 33 years, male, white, stage:Stage IS, alive, 5539 days 4835.9
TCGA-2G-AAGF-01A 28 years, male, white, stage:Stage IS, alive, 2734 days 4741.7
TCGA-WZ-A7V5-01A 27 years, male, white, stage:Stage I, alive, 1061 days 4709.4
TCGA-YU-A912-01A 34 years, male, black or african american, stage:Stage IIIC, alive, 866 days 4695.8
TCGA-2G-AAFH-01A 38 years, male, white, stage:Stage IIB, alive, 1375 days 4666.8
TCGA-XE-A8H1-01A 24 years, male, white, stage:Stage IS, alive, 209 days 4648.3
TCGA-2G-AAHG-01A 25 years, male, white, stage:Stage I, alive, 1819 days 4628.2
TCGA-ZM-AA0D-01A 34 years, male, white, stage:Stage IA, alive, 848 days 4621.6
TCGA-YU-A90P-01A 25 years, male, white, stage:Stage IA, alive, 2069 days 4621.5
TCGA-XE-AANR-01A 23 years, male, white, stage:Stage I, alive, 14 days 4602.5
TCGA-2G-AAGK-01A 20 years, male, white, stage:Stage IS, alive, 3621 days 4558.7
TCGA-XE-A8H5-01A 29 years, male, stage:Stage IS, alive, 1217 days 4537.5
TCGA-YU-A90Y-01A 23 years, male, black or african american, stage:Stage IIIC, dead, 17 days 4533.5
TCGA-2G-AAG9-01A 25 years, male, white, stage:Stage IIIB, alive, 2234 days 4516.9
TCGA-2G-AAL7-01A 32 years, male, white, stage:Stage IS, alive, 3991 days 4508.4
TCGA-2G-AAG3-01A 53 years, male, white, stage:Stage IS, alive, 1593 days 4478.7
TCGA-WZ-A7V3-01A 20 years, male, white, stage:Stage I, alive, 753 days 4435.0
TCGA-W4-A7U4-01A 23 years, male, white, stage:'--, alive, 738 days 4418.8
TCGA-2G-AAF8-01A 33 years, male, white, stage:Stage IA, alive, 3911 days 4369.5
TCGA-2G-AAGZ-01A 27 years, male, white, stage:Stage IIIA, alive, 5233 days 4358.1
TCGA-2G-AAFY-01A 24 years, male, white, stage:Stage IIA, alive, 1099 days 4170.7
TCGA-2G-AAHN-01A 32 years, male, white, stage:Stage I, alive, 6445 days 4155.2
TCGA-4K-AA1H-01A 26 years, male, white, stage:Stage IA, alive, 518 days 4076.7
TCGA-2G-AAFZ-01A 32 years, male, white, stage:Stage III, alive, 1353 days 4024.3
TCGA-2G-AAF1-01A 28 years, male, asian, stage:Stage IS, alive, 1403 days 3994.9
TCGA-XE-AAOB-01A 27 years, male, white, stage:Stage IS, dead, 513 days 3924.7
TCGA-2G-AAGM-01A 51 years, male, white, stage:Stage IS, alive, 3891 days 3921.6
TCGA-2G-AAG8-01A 21 years, male, white, stage:Stage IB, alive, 2289 days 3901.7
TCGA-XE-AAO4-01A 40 years, male, white, stage:Stage IA, alive, 367 days 3869.2
TCGA-2G-AAEW-01A 31 years, male, white, stage:Stage IS, dead, 618 days 3849.9
TCGA-2G-AAH4-01A 34 years, male, white, stage:Stage II, alive, 6210 days 3811.1
TCGA-2G-AAFJ-01A 23 years, male, asian, stage:'--, alive, 792 days 3804.4
TCGA-XE-AANV-01A 52 years, male, stage:Stage IB, alive, 1701 days 3782.1
TCGA-YU-A90Q-01A 21 years, male, stage:Stage IB, alive, 1964 days 3775.0
TCGA-4K-AA1G-01A 34 years, male, white, stage:Stage IS, alive, 436 days 3737.8
TCGA-XE-AANI-01A 37 years, male, white, stage:Stage IS, alive, 1041 days 3716.9
TCGA-W4-A7U3-01A 26 years, male, white, stage:'--, alive, 149 days 3697.1
TCGA-2G-AAG0-01A 23 years, male, white, stage:Stage IS, alive, 1529 days 3680.9
TCGA-2G-AAHA-01A 48 years, male, white, stage:Stage IB, alive, 3349 days 3670.7
TCGA-XE-AAOF-01A 50 years, male, asian, stage:Stage IA, alive, 1268 days 3642.1
TCGA-YU-A90S-01A 26 years, male, white, stage:Stage IA, alive, 971 days 3630.0
TCGA-2G-AAGI-01A 33 years, male, white, stage:Stage IS, alive, 3137 days 3567.9
TCGA-XY-A8S2-01A 67 years, male, white, stage:Stage I, alive, 672 days 3537.9
TCGA-2G-AAGN-01A 41 years, male, white, stage:Stage IIIB, alive, 3656 days 3498.9
TCGA-XE-AAOC-01A 31 years, male, white, stage:Stage IA, alive, 270 days 3497.3
TCGA-2G-AAGE-01A 21 years, male, white, stage:Stage IS, alive, 2478 days 3467.7
TCGA-2G-AAGC-01A 28 years, male, white, stage:Stage IS, alive, 2585 days 3423.9
TCGA-2X-A9D6-01A 42 years, male, white, stage:Stage I, alive, 607 days 3411.5
TCGA-2G-AAGP-01A 33 years, male, white, stage:Stage IIA, alive, 4018 days 3303.7
TCGA-2G-AAH2-01A 20 years, male, white, stage:Stage IS, alive, 6060 days 3296.2
TCGA-2G-AAH3-01A 20 years, male, white, stage:Stage I, alive, 1822 days 3284.9
TCGA-S6-A8JW-01A 37 years, male, white, stage:Stage IS, alive, 698 days 3283.9
TCGA-2G-AAGG-01A 20 years, male, white, stage:Stage IIIC, alive, 2611 days 3230.0
TCGA-YU-A94I-01A 66 years, male, stage:Stage IA, alive, 536 days 3227.7
TCGA-2G-AAG7-01A 33 years, male, white, stage:Stage IS, alive, 2475 days 3224.1
TCGA-XE-AAOL-01A 38 years, male, black or african american, stage:Stage I, alive, 13 days 3166.1
TCGA-XY-A9T9-01A 37 years, male, white, stage:Stage IS, alive, 281 days 3132.0
TCGA-2G-AAGS-01A 39 years, male, white, stage:Stage IIIB, alive, 4816 days 3129.6
TCGA-SN-A84W-01A 30 years, male, white, stage:Stage IS, alive, 293 days 3105.3
TCGA-XY-A89B-01A 35 years, male, white, stage:Stage IA, alive, 471 days 3095.8
TCGA-WZ-A7V4-01A 28 years, male, white, stage:Stage I, alive, 894 days 3069.2
TCGA-ZM-AA0F-01A 35 years, male, white, stage:Stage IA, alive, 681 days 3057.1
TCGA-ZM-AA0B-01A 32 years, male, white, stage:Stage IA, alive, 838 days 3051.7
TCGA-2G-AAGX-01A 22 years, male, white, stage:Stage IA, alive, 5514 days 3040.8
TCGA-SN-A6IS-01A 26 years, male, white, stage:Stage IS, alive, 496 days 2891.1
TCGA-YU-AA61-01A 29 years, male, white, stage:Stage IS, alive, 864 days 2873.8
TCGA-VF-A8AB-01A 31 years, male, black or african american, stage:Stage IA, alive, 760 days 2869.4
TCGA-2G-AAG6-01A 24 years, male, white, stage:Stage IS, alive, 2231 days 2852.1
TCGA-2G-AAGV-01A 23 years, male, white, stage:'--, alive, 4527 days 2835.5
TCGA-ZM-AA0H-01A 50 years, male, white, stage:Stage IS, alive, 1736 days 2718.4
TCGA-SN-A84Y-01A 18 years, male, white, stage:Stage IS, alive, 524 days 2715.1
TCGA-2X-A9D5-01A 49 years, male, white, stage:Stage I, alive, 435 days 2676.4
TCGA-2G-AAF4-01A 30 years, male, white, stage:Stage I, alive, 2315 days 2590.4
TCGA-2G-AAGY-01A 28 years, male, white, stage:Stage IS, alive, 5329 days 2518.5
TCGA-ZM-AA0E-01A 39 years, male, white, stage:Stage IA, alive, 811 days 2447.7
TCGA-2G-AAG5-01A 36 years, male, white, stage:Stage IS, alive, 2299 days 2444.5
TCGA-2G-AAFV-01A 31 years, male, white, stage:Stage IS, alive, 1389 days 2338.2
TCGA-SB-A76C-01A 38 years, male, white, stage:'--, alive, 42 days 2202.2
TCGA-2G-AAHT-01A 32 years, male, white, stage:Stage IS, alive, 542 days 1791.6
TCGA-ZM-AA05-01A 36 years, male, white, stage:Stage IIC, alive, 1126 days 701.1
Show allShow less
TESTIS 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.


Antibody HPA053635
 Staining
  High
  Medium
  Low
  Not detected
 Intensity
  Strong
  Moderate
  Weak
  Negative
 Quantity
  >75%
  75%-25%
  <25%
  None
 Location
  Nuclear
  Cytoplasmic/membranous
  Cytoplasmic/membranous,nuclear
  None
Seminoma, NOS
Carcinoma, Embryonal, NOS
Carcinoma, Embryonal, NOS
Teratoma, malignant, NOS

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