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.
RPL13
SECTIONS
  • TISSUE
  • BRAIN
  • SINGLE CELL TYPE
  • TISSUE CELL TYPE
  • PATHOLOGY
  • DISEASE
  • IMMUNE CELL
  • BLOOD PROTEIN
  • SUBCELLULAR
  • CELL LINE
  • STRUCTURE
  • METABOLIC
ABOUT
  • INTRODUCTION
  • HISTORY
  • ORGANIZATION
  • PUBLICATIONS
  • ANTIBODY SUBMISSION
  • ANTIBODY AVAILABILITY
  • ACKNOWLEDGMENTS
  • CONTACT
NEWS
  • NEWS ARTICLES
  • PRESS ROOM
LEARN
  • DICTIONARY
  • PROTEIN CLASSES
  • PROTEIN EVIDENCE
  • METHODS
  • EDUCATIONAL VIDEOS
DATA
  • DOWNLOADABLE DATA
  • PUBLICATION DATA
  • RELEASE HISTORY
  • SARS-COV-2
HELP
  • ANTIBODY VALIDATION
  • ASSAYS & ANNOTATION
  • DISCLAIMER
  • HELP & FAQ
  • PRIVACY STATEMENT
  • LICENCE & CITATION
Fields »
Search result

Field
Term
Gene name
Class
Subclass
Class
Keyword
Chromosome
External id
Tissue
Cell type
Expression
Patient ID
Tissue
Category
Cluster
Reliability
Brain region
Category
Brain region
Category
Brain region
Category
Reliability
Cell type
Category
Cluster
Tissue
Cell type
Enrichment
Cancer
Prognosis
Cancer
Category
Cell type
Category
Cell lineage
Category
Cluster
Annotation
Disease
Location
Searches
Location
Cell line
Type
Phase
Reliability
Cancer type
Category
Cluster
Pathway
Category
Score
Score
Score
Validation
Validation
Validation
Validation
Antibodies
Protein structure
In atlas
Column


  • SUMMARY

  • TISSUE

  • BRAIN

  • SINGLE CELL

  • TISSUE CELL

  • PATHOLOGY

  • DISEASE

  • IMMUNE

  • BLOOD

  • SUBCELL

  • CELL LINE

  • STRUCTURE

  • METABOLIC

  • RPL13
PATHOLOGY COLORECTAL 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
COAD READ
ANTIBODIES
AND
VALIDATION
Dictionary
Colorectal cancer
Human pathology
Colorectal cancer
RECTUM ADENOCARCINOMA (READ) - 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.

Read more



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.

Read more
: 334.82
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.

Read more
: 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 FPKM 333.4
Number of samples 159
Samples
Sample Description FPKM
TCGA-DC-6155-01A 31 years, female, white, stage:iiia, alive, 425 days 994.5
TCGA-AG-3605-01A 85 years, female, stage:iv, alive, 30 days 928.3
TCGA-AG-3885-01A 71 years, female, stage:iiib, alive, 546 days 915.4
TCGA-AG-3727-01A 78 years, female, stage:iii, alive, 30 days 846.9
TCGA-AG-A02G-01A 66 years, male, stage:iv, dead, 1185 days 828.8
TCGA-AG-3882-01A 66 years, female, stage:i, alive, 608 days 812.1
TCGA-AG-3999-01A 61 years, female, stage:iiic, alive, 853 days 799.0
TCGA-AG-3881-01A 83 years, female, stage:iia, alive, 579 days 731.1
TCGA-AG-3909-01A 69 years, female, stage:iiib, alive, 608 days 671.5
TCGA-AG-3728-01A 73 years, male, stage:iiib, alive, 912 days 659.6
TCGA-AG-A014-01A 86 years, male, stage:i, alive, 485 days 649.4
TCGA-AG-3611-01A 72 years, male, stage:iia, alive, 424 days 645.0
TCGA-AG-3608-01A 79 years, female, stage:iia, alive, 485 days 643.1
TCGA-AG-3887-01A 68 years, male, stage:iia, alive, 1124 days 610.3
TCGA-AG-A032-01A 68 years, male, stage:iiib, alive, 1157 days 595.0
TCGA-AG-3574-01A 89 years, female, stage:ii, dead, 1096 days 587.1
TCGA-DY-A1DG-01A 75 years, male, white, stage:iva, dead, 1566 days 584.1
TCGA-AG-A016-01A 55 years, male, stage:iv, alive, 276 days 579.2
TCGA-AG-3581-01A 63 years, male, stage:i, alive, 215 days 575.9
TCGA-AF-4110-01A 77 years, male, white, stage:iva, alive, 912 days 573.0
TCGA-AG-A01N-01A 68 years, female, stage:iv, alive, 943 days 565.3
TCGA-AG-3583-01A 66 years, male, stage:iv, dead, 610 days 557.7
TCGA-AG-A00Y-01A 68 years, male, stage:iia, alive, 700 days 546.3
TCGA-AF-2691-01A 48 years, female, white, stage:i, alive, 1309 days 544.0
TCGA-AG-3883-01A 69 years, male, stage:i, alive, 31 days 540.9
TCGA-AG-A023-01A 62 years, female, stage:iv, dead, 1581 days 540.4
TCGA-AG-3894-01A 65 years, male, stage:iia, alive, 426 days 540.3
TCGA-AG-3609-01A 65 years, female, stage:iiic, alive, 608 days 535.3
TCGA-AG-3896-01A 85 years, female, stage:i, alive, 31 days 526.8
TCGA-AG-3612-01A 55 years, female, stage:iiib, alive, 608 days 526.6
TCGA-AG-A02X-01A 77 years, male, stage:i, alive, 1247 days 513.4
TCGA-AG-A015-01A 64 years, female, stage:i, alive, 1096 days 496.7
TCGA-AG-3598-01A 69 years, male, stage:iia, alive, 1522 days 492.3
TCGA-AG-4007-01A 87 years, male, stage:iv, alive, 31 days 491.9
TCGA-AG-A025-01A 62 years, female, stage:i, alive, 1520 days 481.0
TCGA-AG-3878-01A 64 years, male, stage:i, alive, 30 days 480.4
TCGA-DY-A1H8-01A 77 years, female, white, stage:iiia, dead, 992 days 476.1
TCGA-AG-A00C-01A 49 years, female, stage:iiib, alive, 183 days 473.4
TCGA-AG-A011-01A 80 years, male, stage:iia, alive, 1126 days 463.4
TCGA-DY-A1DD-01A 77 years, female, white, stage:iiib, dead, 1741 days 461.5
TCGA-AG-3587-01A 65 years, male, stage:i, alive, 1400 days 430.1
TCGA-AG-3890-01A 62 years, male, stage:i, alive, 518 days 424.6
TCGA-F5-6863-01A 71 years, female, white, stage:iiib, dead, 361 days 412.7
TCGA-AG-A008-01A 50 years, female, stage:i, alive, 424 days 384.5
TCGA-DY-A0XA-01A 57 years, female, white, stage:iia, alive, 3846 days 381.5
TCGA-AG-3892-01A 57 years, female, stage:i, alive, 396 days 378.2
TCGA-AG-A00H-01A 75 years, male, stage:iia, alive, 790 days 366.5
TCGA-DY-A1DF-01A 73 years, female, white, stage:iiic, dead, 734 days 365.4
TCGA-AG-3893-01A 74 years, male, stage:iiib, alive, 1065 days 364.9
TCGA-AG-4008-01A 63 years, male, stage:iia, alive, 518 days 361.0
TCGA-AG-3599-01A 70 years, male, stage:i, alive, 366 days 359.6
TCGA-DC-6154-01A 57 years, female, white, stage:iva, alive, 365 days 359.2
TCGA-AG-3582-01A 75 years, male, stage:iv, dead, 1096 days 353.0
TCGA-AG-A026-01A 66 years, male, stage:ii, dead, 59 days 347.0
TCGA-AF-6136-01A 72 years, female, white, stage:iiib, alive, 741 days 346.2
TCGA-DC-4745-01A 49 years, female, white, stage:iiib, alive, 639 days 345.9
TCGA-AG-3726-01A 63 years, female, stage:i, alive, 243 days 344.1
TCGA-AF-3913-01A 60 years, male, black or african american, stage:iv, dead, 316 days 341.7
TCGA-AG-4005-01A 64 years, male, stage:iv, alive, 427 days 338.4
TCGA-F5-6813-01A 70 years, male, white, stage:iiic, dead, 598 days 337.4
TCGA-AG-3594-01A 77 years, male, stage:iia, dead, 61 days 337.0
TCGA-AG-3600-01A 62 years, male, stage:iiic, alive, 184 days 332.6
TCGA-AG-4001-01A 74 years, female, stage:iia, alive, 1096 days 326.0
TCGA-AF-3400-01A 54 years, male, white, stage:iia, alive, 1049 days 314.5
TCGA-AG-3586-01A 72 years, female, stage:iii, alive, 31 days 312.6
TCGA-CL-5918-01A 90 years, female, white, stage:iia, alive, 218 days 311.6
TCGA-EF-5830-01A 54 years, male, white, stage:iib, alive, 106 days 310.6
TCGA-AG-3591-01A 66 years, female, stage:iia, alive, 1035 days 305.7
TCGA-AG-3898-01A 61 years, male, stage:iia, alive, 1461 days 305.4
TCGA-AG-3580-01A 67 years, male, stage:i, alive, 244 days 304.8
TCGA-BM-6198-01A 73 years, male, white, stage:iiib, alive, 646 days 301.0
TCGA-AG-3584-01A 60 years, male, stage:iv, dead, 730 days 300.1
TCGA-AF-3911-01A 48 years, male, white, stage:iiic, alive, 1148 days 295.2
TCGA-AG-3902-01A 61 years, male, stage:iia, alive, 974 days 290.0
TCGA-AG-A01J-01A 59 years, female, stage:iia, alive, 31 days 287.1
TCGA-EI-6509-01A 53 years, male, white, stage:iiic, alive, 517 days 284.6
TCGA-AG-3575-01A 51 years, male, stage:ii, alive, 365 days 283.0
TCGA-G5-6572-01A 56 years, male, white, dead, 1432 days 275.7
TCGA-DC-4749-01A 57 years, male, white, stage:i, alive, 762 days 274.4
TCGA-DC-5337-01A 69 years, male, white, stage:i, alive, 792 days 269.3
TCGA-AF-6672-01A 43 years, male, white, stage:iv, alive, 748 days 259.5
TCGA-AG-A020-01A 57 years, female, stage:iii, alive, 31 days 254.7
TCGA-F5-6861-01A 60 years, female, white, stage:iia, alive, 1160 days 248.4
TCGA-F5-6571-01A 62 years, female, white, stage:iia, alive, 1288 days 246.7
TCGA-DC-5869-01A 62 years, female, black or african american, stage:iiib, alive, 943 days 246.5
TCGA-DC-6681-01A 70 years, female, white, stage:iva, alive, 790 days 246.1
TCGA-AG-3901-01A 67 years, female, stage:iiib, alive, 761 days 244.9
TCGA-DY-A1DE-01A 56 years, female, white, stage:iia, alive, 3932 days 244.7
TCGA-EI-6514-01A 59 years, female, white, stage:iia, alive, 496 days 244.1
TCGA-AH-6544-01A 60 years, male, white, alive, 1173 days 243.5
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:iiic, alive, 2007 days 243.1
TCGA-AG-A02N-01A 67 years, male, stage:ii, alive, 1885 days 242.6
TCGA-AG-3593-01A 72 years, female, stage:iia, alive, 1035 days 239.7
TCGA-DT-5265-01A 51 years, male, asian, stage:ii, alive, 384 days 238.9
TCGA-F5-6812-01A 67 years, male, white, stage:iia, alive, 1110 days 235.1
TCGA-DY-A1DC-01A 72 years, female, white, stage:iia, dead, 1258 days 233.9
TCGA-EI-7002-01A 58 years, male, white, stage:iv, alive, 364 days 232.2
TCGA-AH-6903-01A 46 years, male, white, stage:iiib, alive, 592 days 230.1
TCGA-G5-6641-01A 67 years, male, white, stage:iiia, alive, 804 days 229.6
TCGA-AF-2690-01A 77 years, female, white, stage:iiic, dead, 524 days 228.6
TCGA-EI-6881-01A 60 years, male, white, stage:iiia, alive, 499 days 228.5
TCGA-EI-6917-01A 33 years, male, white, stage:iiia, alive, 531 days 228.1
TCGA-AG-4022-01A 59 years, female, stage:ii, alive, 1400 days 227.9
TCGA-F5-6864-01A 74 years, female, white, stage:iiib, alive, 379 days 227.7
TCGA-AF-5654-01A 73 years, female, white, stage:i, dead, 512 days 225.6
TCGA-EI-6507-01A 60 years, male, white, stage:iia, alive, 607 days 218.7
TCGA-CI-6622-01A 74 years, male, white, stage:iib, alive, 1362 days 217.6
TCGA-AG-A036-01A 71 years, male, stage:iii, alive, 3562 days 216.8
TCGA-EI-6883-01A 63 years, male, white, stage:iic, alive, 350 days 214.5
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:iia, alive, 2635 days 211.1
TCGA-F5-6465-01A 64 years, female, white, stage:iia, alive, 1506 days 208.7
TCGA-EI-6510-01A 77 years, female, white, alive, 556 days 208.0
TCGA-DC-6683-01A 43 years, male, white, stage:iiib, alive, 762 days 205.3
TCGA-AF-2692-01A 54 years, female, white, stage:iia, alive, 412 days 204.7
TCGA-EI-6512-01A 64 years, female, white, stage:iiib, alive, 538 days 204.4
TCGA-AG-3592-01A 68 years, male, stage:iia, alive, 1035 days 203.4
TCGA-AF-6655-01A 66 years, male, white, stage:iiia, alive, 609 days 203.3
TCGA-CL-4957-01A 79 years, female, dead, 425 days 203.0
TCGA-CI-6623-01B 44 years, male, white, stage:i, alive, 1443 days 202.0
TCGA-AF-2693-01A 75 years, male, white, stage:i, alive, 1155 days 200.0
TCGA-G5-6233-01A 74 years, male, white, dead, 556 days 198.6
TCGA-AG-3742-01A 85 years, female, stage:i, alive, 30 days 198.0
TCGA-AH-6643-01A 50 years, male, white, stage:iiic, dead, 1314 days 196.8
TCGA-CL-5917-01A 71 years, female, white, stage:iiic, alive, 2376 days 195.3
TCGA-EI-6884-01A 71 years, male, white, stage:iiia, alive, 328 days 192.5
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:iia, alive, 360 days 191.5
TCGA-CI-6619-01B 41 years, male, white, stage:iv, alive, 184 days 191.4
TCGA-EI-6513-01A 59 years, male, white, stage:iiib, alive, 497 days 188.6
TCGA-EI-6885-01A 57 years, female, white, stage:iv, alive, 415 days 187.9
TCGA-DC-6682-01A 57 years, male, white, stage:iia, alive, 762 days 183.8
TCGA-CI-6620-01A 41 years, female, white, stage:iva, alive, 1009 days 183.8
TCGA-F5-6814-01A 57 years, male, white, stage:iia, alive, 1131 days 180.3
TCGA-DC-6157-01A 48 years, male, black or african american, stage:i, alive, 1581 days 180.1
TCGA-AH-6897-01A 48 years, male, white, stage:i, alive, 804 days 179.0
TCGA-G5-6235-01A 72 years, male, white, stage:iiib, alive, 1696 days 174.8
TCGA-AG-3578-01A 76 years, female, stage:iia, alive, 974 days 171.5
TCGA-EI-6511-01A 52 years, male, white, stage:iiib, alive, 482 days 167.8
TCGA-AF-2687-01A 57 years, male, white, stage:iiic, alive, 1427 days 166.4
TCGA-EI-6508-01A 48 years, female, white, stage:iiib, alive, 636 days 163.4
TCGA-EI-7004-01A 37 years, female, white, alive, 257 days 163.1
TCGA-EF-5831-01A 72 years, male, white, stage:iia, alive, 127 days 156.5
TCGA-CI-6621-01A 63 years, male, white, stage:iiib, alive, 419 days 156.1
TCGA-F5-6702-01A 71 years, male, white, stage:iva, alive, 869 days 149.4
TCGA-F5-6464-01A 77 years, female, white, stage:iiic, dead, 303 days 144.0
TCGA-AG-3731-01A 65 years, male, stage:iv, alive, 1126 days 141.3
TCGA-AG-3725-01A 90 years, female, stage:iii, alive, 638 days 140.1
TCGA-DC-6160-01A 68 years, male, white, stage:i, alive, 1339 days 139.3
TCGA-AG-4021-01A 84 years, female, stage:iv, dead, 121 days 132.2
TCGA-AG-A002-01A 35 years, male, stage:i, alive, 638 days 130.6
TCGA-AG-3732-01A 78 years, female, stage:i, alive, 1003 days 127.0
TCGA-AH-6547-01A 79 years, female, white, dead, 76 days 121.4
TCGA-EI-6506-01A 78 years, female, white, stage:iia, alive, 625 days 118.3
TCGA-EI-6882-01A 59 years, male, white, stage:iia, alive, 262 days 112.4
TCGA-AH-6549-01A 66 years, male, white, alive, 532 days 112.2
TCGA-AH-6644-01A 73 years, male, white, alive, 838 days 112.0
TCGA-CI-6624-01C 53 years, female, white, stage:i, alive, 1466 days 110.7
TCGA-F5-6811-01A 72 years, female, white, stage:iia, alive, 979 days 109.8
TCGA-DC-6158-01A 70 years, male, white, stage:i, dead, 334 days 107.4
TCGA-DC-6156-01A 62 years, male, white, stage:iva, alive, 943 days 104.0
Show allShow less

Contact

  • NEWS ARTICLES
  • PRESS ROOM
  • contact@proteinatlas.org

The Project

  • INTRODUCTION
  • ORGANIZATION
  • PUBLICATIONS

The Human Protein Atlas

  • DOWNLOADABLE DATA
  • LICENCE & CITATION
  • HELP & FAQ
The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.