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PATHOLOGY GLIOMA 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
ANTIBODIES
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Dictionary
Glioma
Human pathology
Glioma
GLIOMA - 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
ACTB is not prognostic in glioma


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
: 2160.4
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
3-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
3-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 2162.3
Number of samples 153
Samples
Sample Description FPKM
TCGA-19-2625-01A 76 years, female, white, dead, 124 days 4016.8
TCGA-28-2513-01A 69 years, female, white, alive, 222 days 3264.3
TCGA-06-0190-01A 62 years, male, white, dead, 317 days 3189.9
TCGA-06-0210-01A 72 years, female, white, dead, 225 days 3185.1
TCGA-06-0184-01A 63 years, male, white, dead, 2126 days 3164.0
TCGA-06-0644-01A 71 years, male, black or african american, dead, 384 days 3138.7
TCGA-14-0781-01B 49 years, male, black or african american, dead, 29 days 3065.5
TCGA-26-5135-01A 72 years, female, white, dead, 270 days 3049.3
TCGA-06-0686-01A 53 years, male, white, dead, 432 days 3026.4
TCGA-06-0130-01A 54 years, male, white, dead, 394 days 3023.1
TCGA-02-2486-01A 64 years, male, white, dead, 618 days 3023.0
TCGA-12-0619-01A 60 years, male, white, dead, 1062 days 3020.1
TCGA-06-0745-01A 59 years, male, white, dead, 239 days 2944.9
TCGA-02-0055-01A 62 years, female, white, dead, 76 days 2937.6
TCGA-06-0174-01A 54 years, male, white, dead, 98 days 2935.9
TCGA-41-2572-01A 67 years, male, white, dead, 406 days 2933.8
TCGA-06-0645-01A 56 years, female, white, dead, 175 days 2911.2
TCGA-28-5216-01A 52 years, male, white, alive, 415 days 2910.3
TCGA-32-2616-01A 48 years, female, white, dead, 224 days 2867.9
TCGA-06-5418-01A 75 years, female, white, dead, 83 days 2828.1
TCGA-28-2509-01A 77 years, female, white, alive, 145 days 2827.6
TCGA-27-2523-01A 63 years, male, white, dead, 489 days 2810.7
TCGA-06-0646-01A 61 years, male, white, dead, 175 days 2773.1
TCGA-06-2562-01A 81 years, male, white, dead, 382 days 2761.0
TCGA-06-5412-01A 78 years, female, white, dead, 138 days 2709.9
TCGA-14-1034-01A 60 years, female, dead, 485 days 2659.0
TCGA-27-2524-01A 56 years, male, white, dead, 231 days 2658.3
TCGA-27-2519-01A 48 years, male, white, dead, 550 days 2656.8
TCGA-32-4213-01A 47 years, female, white, alive, 604 days 2638.3
TCGA-19-2619-01A 55 years, female, black or african american, alive, 294 days 2629.2
TCGA-14-2554-01A 52 years, female, white, dead, 532 days 2617.2
TCGA-76-4928-01B 85 years, female, white, dead, 94 days 2575.5
TCGA-06-0211-01B 47 years, male, white, dead, 360 days 2569.4
TCGA-14-0789-01A 54 years, male, white, dead, 342 days 2566.0
TCGA-06-5410-01A 72 years, female, white, dead, 108 days 2539.3
TCGA-06-2564-01A 50 years, male, white, alive, 181 days 2534.8
TCGA-06-0168-01A 59 years, female, white, dead, 598 days 2529.7
TCGA-41-2571-01A 89 years, male, white, dead, 26 days 2504.1
TCGA-19-1390-01A 63 years, female, white, dead, 772 days 2492.7
TCGA-28-5218-01A 63 years, male, white, dead, 157 days 2492.1
TCGA-06-0238-01A 46 years, male, white, dead, 405 days 2477.1
TCGA-19-2629-01A 60 years, male, white, dead, 737 days 2466.1
TCGA-27-1830-01A 57 years, male, white, dead, 154 days 2458.6
TCGA-06-5414-01A 61 years, male, white, alive, 273 days 2452.9
TCGA-14-1825-01A 70 years, male, white, dead, 232 days 2446.3
TCGA-19-1787-01B 49 years, male, white, dead, 385 days 2439.1
TCGA-12-0618-01A 49 years, male, white, dead, 395 days 2420.4
TCGA-28-5209-01A 66 years, female, white, alive, 77 days 2399.2
TCGA-12-5299-01A 56 years, female, white, dead, 98 days 2371.7
TCGA-06-0125-01A 63 years, female, white, dead, 1448 days 2370.2
TCGA-28-1753-01A 53 years, male, white, alive, 37 days 2358.8
TCGA-12-5295-01A 60 years, female, white, dead, 454 days 2356.8
TCGA-06-0750-01A 43 years, male, white, dead, 28 days 2356.7
TCGA-06-0139-01A 40 years, male, white, dead, 362 days 2329.2
TCGA-14-0817-01A 69 years, female, white, dead, 164 days 2327.0
TCGA-26-5139-01A 65 years, female, white, alive, 48 days 2314.6
TCGA-32-2638-01A 67 years, male, white, dead, 766 days 2302.3
TCGA-27-2528-01A 62 years, male, white, dead, 480 days 2302.2
TCGA-06-0878-01A 74 years, male, white, alive, 218 days 2300.0
TCGA-76-4927-01A 58 years, male, white, dead, 535 days 2295.7
TCGA-06-0132-01A 49 years, male, white, dead, 771 days 2288.9
TCGA-41-3915-01A 48 years, male, white, dead, 360 days 2288.3
TCGA-76-4925-01A 76 years, male, white, dead, 146 days 2250.5
TCGA-32-5222-01A 66 years, male, white, dead, 585 days 2244.2
TCGA-32-1982-01A 76 years, female, white, dead, 142 days 2232.5
TCGA-06-2557-01A 76 years, male, black or african american, dead, 33 days 2227.7
TCGA-06-5858-01A 45 years, female, white, alive, 187 days 2226.3
TCGA-19-2624-01A 51 years, male, white, dead, 5 days 2222.2
TCGA-06-0187-01A 69 years, male, white, dead, 828 days 2202.4
TCGA-26-5134-01A 74 years, male, white, alive, 167 days 2190.5
TCGA-12-0616-01A 36 years, female, white, dead, 448 days 2186.6
TCGA-14-0787-01A 69 years, male, asian, dead, 68 days 2184.6
TCGA-12-3650-01A 46 years, male, white, dead, 333 days 2182.1
TCGA-06-2559-01A 83 years, male, white, dead, 150 days 2180.6
TCGA-08-0386-01A 74 years, male, white, dead, 548 days 2163.1
TCGA-06-0157-01A 63 years, female, white, dead, 97 days 2161.6
TCGA-28-5215-01A 62 years, female, white, dead, 335 days 2160.4
TCGA-27-1831-01A 66 years, male, white, dead, 505 days 2160.4
TCGA-76-4932-01A 50 years, female, white, dead, 1458 days 2155.0
TCGA-19-2620-01A 70 years, male, white, dead, 148 days 2139.9
TCGA-06-0882-01A 30 years, male, white, dead, 632 days 2109.2
TCGA-15-0742-01A 65 years, male, white, dead, 419 days 2105.1
TCGA-14-1823-01A 58 years, female, white, dead, 543 days 2091.5
TCGA-19-4065-01A 36 years, male, white, alive, 214 days 2072.0
TCGA-28-1747-01C 44 years, male, white, dead, 77 days 2059.8
TCGA-27-1834-01A 56 years, male, white, dead, 1233 days 2038.4
TCGA-28-5204-01A 72 years, male, white, dead, 454 days 2011.5
TCGA-02-2483-01A 43 years, male, asian, alive, 466 days 2009.4
TCGA-26-5132-01A 74 years, male, white, alive, 286 days 2003.5
TCGA-27-1837-01A 36 years, male, white, dead, 427 days 1983.5
TCGA-06-0158-01A 73 years, male, white, dead, 329 days 1977.7
TCGA-26-5133-01A 59 years, male, white, alive, 452 days 1973.2
TCGA-32-2615-01A 62 years, male, white, dead, 485 days 1961.0
TCGA-28-2514-01A 45 years, male, asian, alive, 160 days 1960.2
TCGA-06-0747-01A 53 years, male, white, dead, 82 days 1958.0
TCGA-16-1045-01B 49 years, female, white, dead, 883 days 1950.8
TCGA-06-0138-01A 43 years, male, white, dead, 737 days 1948.4
TCGA-02-0047-01A 78 years, male, white, dead, 448 days 1935.3
TCGA-27-2526-01A 79 years, female, white, dead, 87 days 1934.8
TCGA-16-0846-01A 85 years, male, white, dead, 119 days 1933.8
TCGA-28-5213-01A 72 years, male, white, alive, 951 days 1930.3
TCGA-06-2570-01A 21 years, female, white, alive, 958 days 1928.5
TCGA-12-0821-01A 62 years, male, white, dead, 323 days 1926.8
TCGA-32-2632-01A 80 years, male, white, dead, 269 days 1921.2
TCGA-06-2563-01A 72 years, female, white, alive, 932 days 1920.2
TCGA-26-1442-01A 43 years, male, white, alive, 953 days 1903.2
TCGA-26-5136-01B 78 years, female, white, dead, 577 days 1892.6
TCGA-41-4097-01A 63 years, female, white, dead, 6 days 1878.9
TCGA-06-0219-01A 67 years, male, white, dead, 22 days 1871.1
TCGA-06-0743-01A 69 years, male, white, dead, 803 days 1862.0
TCGA-76-4926-01B 68 years, male, white, dead, 138 days 1839.1
TCGA-06-5413-01A 67 years, male, white, alive, 268 days 1833.0
TCGA-14-0871-01A 75 years, female, white, dead, 880 days 1830.4
TCGA-02-2485-01A 53 years, male, black or african american, alive, 470 days 1819.5
TCGA-06-2558-01A 75 years, female, white, dead, 380 days 1816.5
TCGA-76-4931-01A 70 years, female, white, dead, 279 days 1805.6
TCGA-06-0141-01A 62 years, male, white, dead, 313 days 1780.2
TCGA-12-1597-01B 62 years, female, white, dead, 675 days 1777.2
TCGA-06-5411-01A 51 years, male, white, dead, 254 days 1769.8
TCGA-06-5408-01A 54 years, female, white, dead, 357 days 1763.4
TCGA-06-2561-01A 53 years, female, white, dead, 537 days 1762.7
TCGA-32-2634-01A 82 years, male, white, alive, 693 days 1734.1
TCGA-06-5856-01A 58 years, male, white, dead, 114 days 1729.0
TCGA-12-3653-01A 34 years, female, white, dead, 442 days 1709.1
TCGA-06-0749-01A 50 years, male, black or african american, dead, 82 days 1691.5
TCGA-06-0156-01A 57 years, male, white, dead, 178 days 1675.5
TCGA-14-1829-01A 57 years, male, black or african american, alive, 218 days 1652.4
TCGA-15-1444-01A 21 years, male, white, dead, 1537 days 1649.8
TCGA-06-5416-01A 23 years, female, white, alive, 204 days 1643.1
TCGA-06-0178-01A 39 years, male, white, dead, 2681 days 1606.8
TCGA-27-1832-01A 59 years, female, white, dead, 300 days 1605.6
TCGA-32-1970-01A 59 years, male, white, dead, 468 days 1600.8
TCGA-28-5208-01A 52 years, male, white, dead, 544 days 1579.7
TCGA-14-0790-01B 64 years, female, white, dead, 419 days 1562.2
TCGA-28-2499-01A 59 years, male, white, dead, 95 days 1543.3
TCGA-27-2521-01A 34 years, male, white, dead, 510 days 1538.5
TCGA-06-2567-01A 65 years, male, white, dead, 133 days 1533.4
TCGA-41-5651-01A 59 years, female, black or african american, dead, 460 days 1519.1
TCGA-32-1980-01A 72 years, male, white, dead, 36 days 1519.0
TCGA-06-0744-01A 67 years, male, white, dead, 1426 days 1509.6
TCGA-06-0649-01B 73 years, female, black or african american, dead, 64 days 1486.7
TCGA-12-3652-01A 60 years, male, white, dead, 1062 days 1462.1
TCGA-27-1835-01A 53 years, female, white, dead, 648 days 1419.1
TCGA-28-5207-01A 71 years, male, white, dead, 343 days 1341.9
TCGA-76-4929-01A 76 years, female, white, dead, 111 days 1341.3
TCGA-06-0129-01A 30 years, male, asian, dead, 1024 days 1340.5
TCGA-06-2565-01A 59 years, male, asian, dead, 506 days 1333.9
TCGA-06-5859-01A 63 years, male, white, alive, 139 days 1314.6
TCGA-28-5220-01A 67 years, male, white, dead, 388 days 1194.5
TCGA-06-5417-01A 45 years, female, white, alive, 155 days 1060.6
TCGA-06-1804-01A 81 years, female, white, dead, 414 days 1034.5
TCGA-19-5960-01A 56 years, male, white, dead, 455 days 861.2
TCGA-06-2569-01A 24 years, female, black or african american, alive, 13 days 628.9
Show allShow less
GLIOMA - 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.

Read more

Antibody HPA041264

Antibody HPA041271

Antibody CAB002621
 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
Click images for details

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The Human Protein Atlas project is funded
by the Knut & Alice Wallenberg Foundation.