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  • CHI3L1
CANCER 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
GBM TCGA GBM VALIDATION PROTEIN GBM CPTAC
Dictionary
Glioma
Human cancer
Glioblastoma multiforme
GLIOBLASTOMA MULTIFORME (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.

CHI3L1 is not prognostic in Glioblastoma Multiforme (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.

: 595.67
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
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 pTPM 4051.3
Number of samples 141
Samples
Sample Description pTPM
TCGA-06-0750-01A 43 years, male, white, stage:'--, dead, 28 days 37648.5
TCGA-14-0789-01A 54 years, male, white, stage:'--, dead, 342 days 26792.9
TCGA-28-2513-01A 69 years, female, white, stage:'--, alive, 222 days 22495.6
TCGA-19-2625-01A 76 years, female, white, stage:'--, dead, 124 days 18952.0
TCGA-06-5408-01A 54 years, female, white, stage:'--, dead, 357 days 17721.1
TCGA-32-4213-01A 47 years, female, white, stage:'--, alive, 604 days 17311.8
TCGA-06-0878-01A 74 years, male, white, stage:'--, alive, 218 days 17002.9
TCGA-02-2486-01A 64 years, male, white, stage:'--, dead, 618 days 16181.2
TCGA-27-1832-01A 59 years, female, white, stage:'--, dead, 300 days 15514.4
TCGA-28-2509-01A 77 years, female, white, stage:'--, alive, 145 days 14595.1
TCGA-06-0168-01A 59 years, female, white, stage:'--, dead, 598 days 14256.2
TCGA-14-1823-01A 58 years, female, white, stage:'--, dead, 543 days 12973.1
TCGA-06-0184-01A 63 years, male, white, stage:'--, dead, 2126 days 11123.3
TCGA-06-5412-01A 78 years, female, white, stage:'--, dead, 138 days 10825.9
TCGA-06-0645-01A 55 years, female, white, stage:'--, dead, 175 days 10801.4
TCGA-06-0190-01A 62 years, male, white, stage:'--, dead, 317 days 10785.9
TCGA-06-2562-01A 81 years, male, white, stage:'--, dead, 382 days 10195.4
TCGA-06-5410-01A 72 years, female, white, stage:'--, dead, 108 days 9264.8
TCGA-19-2619-01A 55 years, female, black or african american, stage:'--, alive, 294 days 9160.9
TCGA-06-0210-01A 72 years, female, white, stage:'--, dead, 225 days 8651.9
TCGA-06-0747-01A 53 years, male, white, stage:'--, dead, 82 days 8607.4
TCGA-06-5418-01A 75 years, female, white, stage:'--, dead, 83 days 8543.0
TCGA-32-2615-01A 62 years, male, white, stage:'--, dead, 485 days 8306.8
TCGA-41-4097-01A 63 years, female, white, stage:'--, dead, 6 days 7731.9
TCGA-19-2620-01A 70 years, male, white, stage:'--, dead, 148 days 7638.1
TCGA-06-5414-01A 61 years, male, white, stage:'--, alive, 273 days 7212.0
TCGA-32-2638-01A 67 years, male, white, stage:'--, dead, 766 days 6386.0
TCGA-06-0139-01A 40 years, male, white, stage:'--, dead, 362 days 6119.0
TCGA-28-5204-01A 72 years, male, white, stage:'--, dead, 454 days 5779.3
TCGA-32-2632-01A 80 years, male, white, stage:'--, dead, 269 days 5659.8
TCGA-06-0187-01A 69 years, male, white, stage:'--, dead, 828 days 5441.4
TCGA-14-2554-01A 52 years, female, white, stage:'--, dead, 532 days 5186.1
TCGA-14-1034-01A 60 years, female, stage:'--, dead, 485 days 5106.4
TCGA-32-1982-01A 76 years, female, white, stage:'--, dead, 142 days 5068.0
TCGA-15-0742-01A 65 years, male, white, stage:'--, dead, 419 days 5041.4
TCGA-32-1980-01A 72 years, male, white, stage:'--, dead, 36 days 4930.5
TCGA-06-0141-01A 62 years, male, white, stage:'--, dead, 313 days 4926.1
TCGA-76-4927-01A 58 years, male, white, stage:'--, dead, 535 days 4916.0
TCGA-19-4065-01A 36 years, male, white, stage:'--, alive, 214 days 4811.7
TCGA-12-5299-01A 56 years, female, white, stage:'--, dead, 98 days 4756.4
TCGA-06-0646-01A 60 years, male, white, stage:'--, dead, 175 days 4588.6
TCGA-06-0158-01A 73 years, male, white, stage:'--, dead, 329 days 4514.3
TCGA-06-2561-01A 53 years, female, white, stage:'--, dead, 537 days 4229.9
TCGA-12-5295-01A 60 years, female, white, stage:'--, dead, 454 days 3904.0
TCGA-76-4932-01A 50 years, female, white, stage:'--, dead, 1458 days 3781.2
TCGA-06-0211-01A 47 years, male, white, stage:'--, dead, 360 days 3739.9
TCGA-76-4931-01A 70 years, female, white, stage:'--, dead, 279 days 3724.8
TCGA-06-5856-01A 58 years, male, white, stage:'--, dead, 114 days 3593.5
TCGA-12-0619-01A 60 years, male, white, stage:'--, dead, 1062 days 3556.9
TCGA-14-0787-01A 69 years, male, asian, stage:'--, dead, 68 days 3547.8
TCGA-26-5139-01A 65 years, female, white, stage:'--, alive, 48 days 3537.1
TCGA-76-4929-01A 76 years, female, white, stage:'--, dead, 111 days 3147.8
TCGA-06-0882-01A 30 years, male, white, stage:'--, dead, 632 days 3082.6
TCGA-41-2572-01A 67 years, male, white, stage:'--, dead, 406 days 3016.2
TCGA-41-3915-01A 48 years, male, white, stage:'--, dead, 360 days 2984.9
TCGA-06-0644-01A 71 years, male, black or african american, stage:'--, dead, 384 days 2979.1
TCGA-28-5209-01A 66 years, female, white, stage:'--, alive, 442 days 2961.3
TCGA-27-2519-01A 48 years, male, white, stage:'--, dead, 550 days 2950.7
TCGA-06-0156-01A 57 years, male, white, stage:'--, dead, 178 days 2808.8
TCGA-14-0817-01A 69 years, female, white, stage:'--, dead, 164 days 2758.0
TCGA-06-2564-01A 50 years, male, white, stage:'--, alive, 181 days 2505.1
TCGA-27-1831-01A 66 years, male, white, stage:'--, dead, 505 days 2489.0
TCGA-06-0219-01A 67 years, male, white, stage:'--, dead, 22 days 2322.4
TCGA-02-0055-01A 62 years, female, white, stage:'--, dead, 76 days 2290.8
TCGA-28-5216-01A 52 years, male, white, stage:'--, alive, 415 days 2213.2
TCGA-06-0138-01A 43 years, male, white, stage:'--, dead, 737 days 2045.7
TCGA-27-2526-01A 79 years, female, white, stage:'--, dead, 87 days 1985.1
TCGA-06-0132-01A 49 years, male, white, stage:'--, dead, 771 days 1943.8
TCGA-76-4925-01A 76 years, male, white, stage:'--, dead, 146 days 1804.9
TCGA-26-5134-01A 74 years, male, white, stage:'--, alive, 167 days 1697.8
TCGA-06-5413-01A 67 years, male, white, stage:'--, alive, 268 days 1642.4
TCGA-27-2524-01A 56 years, male, white, stage:'--, dead, 231 days 1622.8
TCGA-27-1837-01A 36 years, male, white, stage:'--, dead, 427 days 1604.2
TCGA-12-3652-01A 60 years, male, white, stage:'--, dead, 1062 days 1526.4
TCGA-06-2565-01A 59 years, male, asian, stage:'--, dead, 506 days 1477.5
TCGA-26-5135-01A 72 years, female, white, stage:'--, dead, 270 days 1465.9
TCGA-06-0125-01A 63 years, female, white, stage:'--, dead, 1448 days 1441.3
TCGA-08-0386-01A 74 years, male, white, stage:'--, dead, 548 days 1365.3
TCGA-28-1753-01A 53 years, male, white, stage:'--, alive, 37 days 1357.9
TCGA-14-1829-01A 57 years, male, black or african american, stage:'--, alive, 218 days 1331.9
TCGA-26-5132-01A 74 years, male, white, stage:'--, alive, 286 days 1312.8
TCGA-28-5208-01A 52 years, male, white, stage:'--, dead, 544 days 1277.2
TCGA-28-5218-01A 63 years, male, white, stage:'--, dead, 157 days 1207.9
TCGA-06-2563-01A 72 years, female, white, stage:'--, alive, 932 days 1144.8
TCGA-28-5215-01A 62 years, female, white, stage:'--, dead, 335 days 1133.2
TCGA-06-2559-01A 83 years, male, white, stage:'--, dead, 150 days 1131.0
TCGA-06-0174-01A 54 years, male, white, stage:'--, dead, 98 days 1000.9
TCGA-27-1830-01A 57 years, male, white, stage:'--, dead, 154 days 991.3
TCGA-06-0130-01A 54 years, male, white, stage:'--, dead, 394 days 949.7
TCGA-06-0686-01A 53 years, male, white, stage:'--, dead, 432 days 890.9
TCGA-32-2616-01A 48 years, female, white, stage:'--, dead, 224 days 864.3
TCGA-32-5222-01A 66 years, male, white, stage:'--, dead, 585 days 863.8
TCGA-12-0821-01A 62 years, male, white, stage:'--, dead, 323 days 846.9
TCGA-06-2567-01A 65 years, male, white, stage:'--, dead, 133 days 789.3
TCGA-06-0743-01A 69 years, male, white, stage:'--, dead, 803 days 783.8
TCGA-02-0047-01A 78 years, male, white, stage:'--, dead, 448 days 724.7
TCGA-06-5858-01A 45 years, female, white, stage:'--, alive, 187 days 723.6
TCGA-28-2514-01A 45 years, male, asian, stage:'--, alive, 160 days 709.5
TCGA-06-0157-01A 63 years, female, white, stage:'--, dead, 97 days 670.0
TCGA-41-2571-01A 89 years, male, white, stage:'--, dead, 26 days 669.4
TCGA-27-2523-01A 63 years, male, white, stage:'--, dead, 489 days 648.5
TCGA-32-1970-01A 59 years, male, white, stage:'--, dead, 468 days 627.0
TCGA-27-1834-01A 56 years, male, white, stage:'--, dead, 1233 days 626.1
TCGA-27-2528-01A 62 years, male, white, stage:'--, dead, 480 days 615.3
TCGA-06-5411-01A 51 years, male, white, stage:'--, dead, 254 days 596.6
TCGA-06-0749-01A 50 years, male, black or african american, stage:'--, dead, 82 days 595.7
TCGA-06-5859-01A 63 years, male, white, stage:'--, alive, 139 days 573.6
TCGA-32-2634-01A 82 years, male, white, stage:'--, alive, 693 days 522.5
TCGA-06-5417-01A 45 years, female, white, stage:'--, alive, 155 days 495.5
TCGA-06-2558-01A 75 years, female, white, stage:'--, dead, 380 days 481.1
TCGA-12-0616-01A 36 years, female, white, stage:'--, dead, 448 days 470.9
TCGA-12-3653-01A 34 years, female, white, stage:'--, dead, 442 days 441.6
TCGA-16-0846-01A 85 years, male, white, stage:'--, dead, 119 days 407.4
TCGA-14-1825-01A 70 years, male, white, stage:'--, dead, 232 days 406.1
TCGA-14-0871-01A 74 years, female, white, stage:'--, dead, 880 days 372.1
TCGA-06-0744-01A 66 years, male, white, stage:'--, dead, 1426 days 348.0
TCGA-06-5416-01A 23 years, female, white, stage:'--, alive, 204 days 339.4
TCGA-19-2629-01A 60 years, male, white, stage:'--, dead, 737 days 333.4
TCGA-06-0238-01A 46 years, male, white, stage:'--, dead, 405 days 327.0
TCGA-12-3650-01A 46 years, male, white, stage:'--, dead, 333 days 261.0
TCGA-27-1835-01A 53 years, female, white, stage:'--, dead, 648 days 258.7
TCGA-28-5207-01A 71 years, male, white, stage:'--, dead, 343 days 230.3
TCGA-28-5220-01A 67 years, male, white, stage:'--, dead, 388 days 226.3
TCGA-19-2624-01A 51 years, male, white, stage:'--, dead, 5 days 218.1
TCGA-06-2557-01A 76 years, male, black or african american, stage:'--, dead, 33 days 216.4
TCGA-02-2483-01A 43 years, male, asian, stage:'--, alive, 466 days 208.8
TCGA-06-0129-01A 30 years, male, asian, stage:'--, dead, 1024 days 203.7
TCGA-26-5133-01A 59 years, male, white, stage:'--, alive, 452 days 203.6
TCGA-02-2485-01A 53 years, male, black or african american, stage:'--, alive, 470 days 180.6
TCGA-19-5960-01A 56 years, male, white, stage:'--, dead, 455 days 132.9
TCGA-06-0745-01A 59 years, male, white, stage:'--, dead, 239 days 132.5
TCGA-41-5651-01A 59 years, female, black or african american, stage:'--, dead, 460 days 115.0
TCGA-06-1804-01A 81 years, female, white, stage:'--, dead, 414 days 113.8
TCGA-06-0178-01A 38 years, male, white, stage:'--, dead, 2681 days 109.4
TCGA-26-1442-01A 43 years, male, white, stage:'--, alive, 953 days 102.0
TCGA-12-0618-01A 49 years, male, white, stage:'--, dead, 395 days 99.7
TCGA-06-2570-01A 21 years, female, white, stage:'--, alive, 958 days 92.3
TCGA-15-1444-01A 21 years, male, white, stage:'--, dead, 1537 days 84.2
TCGA-19-1390-01A 63 years, female, white, stage:'--, dead, 772 days 74.9
TCGA-27-2521-01A 34 years, male, white, stage:'--, dead, 510 days 55.9
TCGA-06-2569-01A 24 years, female, black or african american, stage:'--, alive, 13 days 39.6
Show allShow less
GLIOBLASTOMA MULTIFORME (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.

CHI3L1 is not prognostic in Glioblastoma Multiforme (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.

: 226.24
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
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 pTPM 2174.2
Number of samples 58
Samples
Sample Description pTPM
AK091 N, NA, stage:NA, dead, 210 days 13577.4
AK055 N, NA, stage:NA, dead, 240 days 10573.7
AK205 N, NA, stage:NA, dead, 120 days 9978.7
AK227 N, NA, stage:NA, alive, 300 days 9920.0
AK236 N, NA, stage:NA, dead, 360 days 8571.7
AK072 N, NA, stage:NA, dead, 150 days 7888.3
AK153 N, NA, stage:NA, dead, 240 days 7448.4
AK188 N, NA, stage:NA, alive, 420 days 6133.8
AK005 N, NA, stage:NA, dead, 240 days 5880.7
AK071 N, NA, stage:NA, dead, 540 days 5773.1
AK139 N, NA, stage:NA, dead, 270 days 5456.1
AK117 N, NA, stage:NA, dead, 210 days 3254.7
AK183 N, NA, stage:NA, alive, 360 days 2445.1
AK003 N, NA, stage:NA, dead, 600 days 2277.1
AK178 N, NA, stage:NA, dead, 240 days 2200.7
AK133 N, NA, stage:NA, dead, 360 days 2135.3
AK167 N, NA, stage:NA, dead, 180 days 1728.0
AK218 N, NA, stage:NA, dead, 180 days 1454.6
AK195 N, NA, stage:NA, dead, 390 days 1318.8
AK142 N, NA, stage:NA, alive, 90 days 1297.4
AK103 N, NA, stage:NA, alive, 1320 days 1236.3
AK074 N, NA, stage:NA, alive, 300 days 1206.4
AK089 N, NA, stage:NA, dead, 330 days 1139.5
AK030 N, NA, stage:NA, dead, 120 days 1122.0
AK100 N, NA, stage:NA, alive, 960 days 1012.4
AK035 N, NA, stage:NA, dead, 210 days 878.4
AK076 N, NA, stage:NA, alive, 660 days 846.9
AK216 N, NA, stage:NA, dead, 360 days 783.8
AK149 N, NA, stage:NA, dead, 420 days 772.6
AK226 N, NA, stage:NA, dead, 360 days 730.4
AK231 N, NA, stage:NA, dead, 240 days 675.6
AK123 N, NA, stage:NA, dead, 180 days 631.3
AK199 N, NA, stage:NA, alive, 1860 days 539.5
AK049 N, NA, stage:NA, dead, 180 days 533.4
AK051 N, NA, stage:NA, dead, 360 days 509.4
AK099 N, NA, stage:NA, dead, 420 days 501.8
AK088 N, NA, stage:NA, dead, 360 days 434.3
AK079 N, NA, stage:NA, dead, 210 days 415.6
AK173 N, NA, stage:NA, dead, 180 days 392.8
AK165 N, NA, stage:NA, alive, 360 days 378.3
AK043 N, NA, stage:NA, alive, 660 days 287.3
AK081 N, NA, stage:NA, dead, 180 days 285.7
AK053 N, NA, stage:NA, dead, 300 days 245.2
AK158 N, NA, stage:NA, dead, 360 days 229.5
AK085 N, NA, stage:NA, alive, 660 days 223.0
AK134 N, NA, stage:NA, dead, 360 days 221.0
AK006 N, NA, stage:NA, dead, 360 days 156.8
AK098 N, NA, stage:NA, dead, 660 days 99.4
AK041 N, NA, stage:NA, alive, 810 days 89.9
AK185 N, NA, stage:NA, alive, 330 days 67.4
AK156 N, NA, stage:NA, dead, 330 days 60.1
AK068 N, NA, stage:NA, alive, 360 days 33.4
AK066 N, NA, stage:NA, alive, 960 days 16.3
AK015 N, NA, stage:NA, alive, 720 days 11.6
AK124 N, NA, stage:NA, alive, 1920 days 9.6
AK102 N, NA, stage:NA, alive, 1740 days 9.3
AK002 N, NA, stage:NA, dead, 570 days 4.7
AK213 N, NA, stage:NA, alive, 2010 days 1.1
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GLIOBLASTOMA MULTIFORME - Protein relative expression (CPTAC)
Number of samples 110
Samples
Sample ID Sample type nRPX
CPT0123530003 Tumor 2.3
CPT0206230003 Tumor 2.2
CPT0087570003 Tumor 2.2
CPT0190360004 Tumor 2.1
CPT0168590003 Tumor 1.8
CPT0219080004 Tumor 1.8
CPT0127480003 Tumor 1.4
CPT0206450003 Tumor 1.3
CPT0167640003 Tumor 1.3
CPT0218690004 Tumor 1.2
CPT0206880003 Tumor 1.1
CPT0092440003 Tumor 1.1
CPT0206560003 Tumor 1.1
CPT0093550003 Tumor 1.0
CPT0217000004 Tumor 1.0
CPT0168080003 Tumor 0.9
CPT0167750004 Tumor 0.9
CPT0167970003 Tumor 0.9
CPT0205570003 Tumor 0.8
CPT0186100003 Tumor 0.7
CPT0093590003 Tumor 0.7
CPT0079790003 Tumor 0.6
CPT0125570003 Tumor 0.5
CPT0196850003 Tumor 0.5
CPT0206000004 Tumor 0.5
CPT0093510003 Tumor 0.5
CPT0206110003 Tumor 0.4
CPT0189460003 Tumor 0.4
CPT0224540004 Tumor 0.4
CPT0162100003 Tumor 0.3
CPT0189750004 Tumor 0.3
CPT0093360003 Tumor 0.3
CPT0168270003 Tumor 0.3
CPT0087950003 Tumor 0.3
CPT0089150003 Tumor 0.3
CPT0218890004 Tumor 0.3
CPT0221180003 Tumor 0.2
CPT0218830004 Tumor 0.1
CPT0162020003 Tumor 0.1
CPT0209440003 Tumor 0.1
CPT0168480003 Tumor 0.0
CPT0064890003 Tumor 0.0
CPT0168380003 Tumor 0.0
CPT0216920008 Tumor -0.1
CPT0064650003 Tumor -0.1
CPT0189850004 Tumor -0.2
CPT0205450004 Tumor -0.2
CPT0182500003 Tumor -0.2
CPT0087730003 Tumor -0.2
CPT0189650004 Tumor -0.2
CPT0168830003 Tumor -0.2
CPT0225760003 Tumor -0.2
CPT0205890003 Tumor -0.3
CPT0127420003 Tumor -0.3
CPT0218960004 Tumor -0.4
CPT0224600003 Tumor -0.4
CPT0225730003 Tumor -0.4
CPT0218330004 Tumor -0.5
CPT0093450003 Tumor -0.5
CPT0002410011 Tumor -0.5
CPT0071100003 Tumor -0.5
CPT0201710003 Tumor -0.7
CPT0224390004 Tumor -0.8
CPT0205670004 Tumor -0.8
CPT0171580008 Tumor -0.8
CPT0078580003 Tumor -0.8
CPT0205780003 Tumor -0.8
CPT0167530003 Tumor -0.8
CPT0189250003 Tumor -0.8
CPT0182580003 Tumor -0.9
CPT0104220003 Tumor -0.9
CPT0168720003 Tumor -0.9
CPT0217060003 Tumor -0.9
CPT0175060003 Tumor -0.9
CPT0125220003 Tumor -0.9
CPT0217430008 Tumor -0.9
CPT0206330003 Tumor -0.9
CPT0206780003 Tumor -1.0
CPT0224330003 Tumor -1.0
CPT0204370003 Normal -1.0
CPT0204380003 Normal -1.2
CPT0204330003 Normal -1.2
CPT0125510003 Tumor -1.3
CPT0206670004 Tumor -1.3
CPT0217710008 Tumor -1.3
CPT0204350003 Normal -1.4
CPT0204340003 Normal -1.5
CPT0207030003 Tumor -1.5
CPT0217100003 Tumor -1.5
CPT0208980003 Tumor -1.5
CPT0182550003 Tumor -1.5
CPT0204360003 Normal -1.5
CPT0228220003 Tumor -1.6
CPT0204390003 Normal -1.6
CPT0217880003 Tumor -1.6
CPT0087680003 Tumor -1.6
CPT0218670003 Tumor -1.6
CPT0218770003 Tumor -1.6
CPT0104330003 Tumor -1.7
CPT0207090003 Tumor -1.7
CPT0162140003 Tumor -1.7
CPT0199770003 Tumor -1.7
CPT0217190003 Tumor -1.7
CPT0204420003 Normal -1.8
CPT0204400003 Normal -2.0
CPT0189570004 Tumor -2.0
CPT0167860004 Tumor -2.1
CPT0161730003 Tumor -2.6
CPT0204410003 Normal -2.7
CPT0190240004 Tumor -2.9
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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.

Pending cancer tissue analysis

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