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RPL11
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  • RPL11
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
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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.




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.

: 548.99
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 FPKM 430.7
Number of samples 159
Samples
Sample Description FPKM
TCGA-EI-6509-01A 53 years, male, white, stage:iiic, alive, 517 days 892.5
TCGA-EI-6883-01A 63 years, male, white, stage:iic, alive, 350 days 872.1
TCGA-AG-A00C-01A 49 years, female, stage:iiib, alive, 183 days 862.1
TCGA-DY-A1DD-01A 77 years, female, white, stage:iiib, dead, 1741 days 807.5
TCGA-DC-6682-01A 57 years, male, white, stage:iia, alive, 762 days 805.2
TCGA-G5-6233-01A 74 years, male, white, dead, 556 days 788.4
TCGA-DY-A1DF-01A 73 years, female, white, stage:iiic, dead, 734 days 767.0
TCGA-DC-6155-01A 31 years, female, white, stage:iiia, alive, 425 days 761.4
TCGA-F5-6863-01A 71 years, female, white, stage:iiib, dead, 361 days 706.6
TCGA-AG-A015-01A 64 years, female, stage:i, alive, 1096 days 706.3
TCGA-DY-A1DG-01A 75 years, male, white, stage:iva, dead, 1566 days 702.8
TCGA-AG-A02X-01A 77 years, male, stage:i, alive, 1247 days 689.5
TCGA-AF-6672-01A 43 years, male, white, stage:iv, alive, 748 days 681.6
TCGA-DY-A1DC-01A 72 years, female, white, stage:iia, dead, 1258 days 670.5
TCGA-AG-3611-01A 72 years, male, stage:iia, alive, 424 days 664.2
TCGA-EF-5830-01A 54 years, male, white, stage:iib, alive, 106 days 658.3
TCGA-AG-3591-01A 66 years, female, stage:iia, alive, 1035 days 654.0
TCGA-AF-5654-01A 73 years, female, white, stage:i, dead, 512 days 630.6
TCGA-AG-A011-01A 80 years, male, stage:iia, alive, 1126 days 626.9
TCGA-CL-5918-01A 90 years, female, white, stage:iia, alive, 218 days 620.6
TCGA-EI-6917-01A 33 years, male, white, stage:iiia, alive, 531 days 619.1
TCGA-F5-6571-01A 62 years, female, white, stage:iia, alive, 1288 days 615.3
TCGA-AG-3605-01A 85 years, female, stage:iv, alive, 30 days 611.3
TCGA-AG-A025-01A 62 years, female, stage:i, alive, 1520 days 600.3
TCGA-F5-6814-01A 57 years, male, white, stage:iia, alive, 1131 days 597.3
TCGA-EI-6881-01A 60 years, male, white, stage:iiia, alive, 499 days 591.7
TCGA-AG-3574-01A 89 years, female, stage:ii, dead, 1096 days 579.2
TCGA-DC-6154-01A 57 years, female, white, stage:iva, alive, 365 days 578.7
TCGA-AG-A02G-01A 66 years, male, stage:iv, dead, 1185 days 570.0
TCGA-AG-4005-01A 64 years, male, stage:iv, alive, 427 days 551.2
TCGA-AG-A008-01A 50 years, female, stage:i, alive, 424 days 550.1
TCGA-DY-A1H8-01A 77 years, female, white, stage:iiia, dead, 992 days 549.5
TCGA-AH-6549-01A 66 years, male, white, alive, 532 days 548.5
TCGA-AG-3586-01A 72 years, female, stage:iii, alive, 31 days 538.3
TCGA-AG-3609-01A 65 years, female, stage:iiic, alive, 608 days 533.3
TCGA-AF-6136-01A 72 years, female, white, stage:iiib, alive, 741 days 529.5
TCGA-DC-4745-01A 49 years, female, white, stage:iiib, alive, 639 days 524.2
TCGA-AG-3732-01A 78 years, female, stage:i, alive, 1003 days 521.9
TCGA-DT-5265-01A 51 years, male, asian, stage:ii, alive, 384 days 521.5
TCGA-F5-6861-01A 60 years, female, white, stage:iia, alive, 1160 days 521.2
TCGA-AG-3725-01A 90 years, female, stage:iii, alive, 638 days 516.7
TCGA-EI-6513-01A 59 years, male, white, stage:iiib, alive, 497 days 514.5
TCGA-AG-4008-01A 63 years, male, stage:iia, alive, 518 days 513.6
TCGA-EI-7002-01A 58 years, male, white, stage:iv, alive, 364 days 502.8
TCGA-AG-A036-01A 71 years, male, stage:iii, alive, 3562 days 495.2
TCGA-F5-6812-01A 67 years, male, white, stage:iia, alive, 1110 days 494.5
TCGA-CI-6623-01B 44 years, male, white, stage:i, alive, 1443 days 494.4
TCGA-AH-6903-01A 46 years, male, white, stage:iiib, alive, 592 days 494.0
TCGA-AG-3598-01A 69 years, male, stage:iia, alive, 1522 days 492.2
TCGA-G5-6235-01A 72 years, male, white, stage:iiib, alive, 1696 days 491.0
TCGA-AG-3742-01A 85 years, female, stage:i, alive, 30 days 488.3
TCGA-DC-5337-01A 69 years, male, white, stage:i, alive, 792 days 488.0
TCGA-EI-6514-01A 59 years, female, white, stage:iia, alive, 496 days 486.9
TCGA-AG-A00H-01A 75 years, male, stage:iia, alive, 790 days 482.2
TCGA-CL-4957-01A 79 years, female, dead, 425 days 480.8
TCGA-EI-6884-01A 71 years, male, white, stage:iiia, alive, 328 days 478.5
TCGA-EI-6507-01A 60 years, male, white, stage:iia, alive, 607 days 473.4
TCGA-AG-A014-01A 86 years, male, stage:i, alive, 485 days 464.8
TCGA-CI-6619-01B 41 years, male, white, stage:iv, alive, 184 days 462.3
TCGA-AG-A02N-01A 67 years, male, stage:ii, alive, 1885 days 455.9
TCGA-DY-A0XA-01A 57 years, female, white, stage:iia, alive, 3846 days 451.5
TCGA-AG-3612-01A 55 years, female, stage:iiib, alive, 608 days 449.7
TCGA-AG-A00Y-01A 68 years, male, stage:iia, alive, 700 days 448.6
TCGA-AG-3582-01A 75 years, male, stage:iv, dead, 1096 days 446.1
TCGA-AG-3581-01A 63 years, male, stage:i, alive, 215 days 444.5
TCGA-AF-A56N-01A 47 years, female, black or african american, stage:iia, alive, 360 days 444.5
TCGA-AG-3580-01A 67 years, male, stage:i, alive, 244 days 443.4
TCGA-AG-A020-01A 57 years, female, stage:iii, alive, 31 days 434.2
TCGA-AG-4022-01A 59 years, female, stage:ii, alive, 1400 days 433.4
TCGA-AG-3894-01A 65 years, male, stage:iia, alive, 426 days 431.3
TCGA-AG-3902-01A 61 years, male, stage:iia, alive, 974 days 430.7
TCGA-CI-6620-01A 41 years, female, white, stage:iva, alive, 1009 days 429.5
TCGA-BM-6198-01A 73 years, male, white, stage:iiib, alive, 646 days 428.6
TCGA-AG-3896-01A 85 years, female, stage:i, alive, 31 days 428.1
TCGA-AG-A016-01A 55 years, male, stage:iv, alive, 276 days 424.5
TCGA-AG-3608-01A 79 years, female, stage:iia, alive, 485 days 423.5
TCGA-AH-6897-01A 48 years, male, white, stage:i, alive, 804 days 417.0
TCGA-AF-A56L-01A 48 years, female, black or african american, stage:iiic, alive, 2007 days 415.0
TCGA-CL-5917-01A 71 years, female, white, stage:iiic, alive, 2376 days 412.5
TCGA-DY-A1DE-01A 56 years, female, white, stage:iia, alive, 3932 days 408.4
TCGA-EI-6510-01A 77 years, female, white, alive, 556 days 407.6
TCGA-AG-3599-01A 70 years, male, stage:i, alive, 366 days 403.1
TCGA-AH-6643-01A 50 years, male, white, stage:iiic, dead, 1314 days 394.6
TCGA-AG-A01N-01A 68 years, female, stage:iv, alive, 943 days 394.0
TCGA-AF-2690-01A 77 years, female, white, stage:iiic, dead, 524 days 392.8
TCGA-AG-3999-01A 61 years, female, stage:iiic, alive, 853 days 389.8
TCGA-AG-3592-01A 68 years, male, stage:iia, alive, 1035 days 386.7
TCGA-EI-6512-01A 64 years, female, white, stage:iiib, alive, 538 days 386.4
TCGA-F5-6465-01A 64 years, female, white, stage:iia, alive, 1506 days 382.1
TCGA-EI-6885-01A 57 years, female, white, stage:iv, alive, 415 days 382.1
TCGA-F5-6813-01A 70 years, male, white, stage:iiic, dead, 598 days 381.8
TCGA-AF-6655-01A 66 years, male, white, stage:iiia, alive, 609 days 379.3
TCGA-AG-A01J-01A 59 years, female, stage:iia, alive, 31 days 373.1
TCGA-AG-A023-01A 62 years, female, stage:iv, dead, 1581 days 371.2
TCGA-F5-6864-01A 74 years, female, white, stage:iiib, alive, 379 days 369.9
TCGA-AF-2691-01A 48 years, female, white, stage:i, alive, 1309 days 366.6
TCGA-AH-6544-01A 60 years, male, white, alive, 1173 days 363.3
TCGA-DC-5869-01A 62 years, female, black or african american, stage:iiib, alive, 943 days 361.5
TCGA-AF-3911-01A 48 years, male, white, stage:iiic, alive, 1148 days 360.4
TCGA-G5-6572-01A 56 years, male, white, dead, 1432 days 351.5
TCGA-AF-4110-01A 77 years, male, white, stage:iva, alive, 912 days 349.1
TCGA-AG-3575-01A 51 years, male, stage:ii, alive, 365 days 348.1
TCGA-AG-4021-01A 84 years, female, stage:iv, dead, 121 days 346.5
TCGA-G5-6641-01A 67 years, male, white, stage:iiia, alive, 804 days 344.6
TCGA-AG-A002-01A 35 years, male, stage:i, alive, 638 days 341.6
TCGA-AG-3898-01A 61 years, male, stage:iia, alive, 1461 days 337.3
TCGA-AG-3885-01A 71 years, female, stage:iiib, alive, 546 days 334.9
TCGA-AG-3594-01A 77 years, male, stage:iia, dead, 61 days 334.4
TCGA-DC-6157-01A 48 years, male, black or african american, stage:i, alive, 1581 days 333.8
TCGA-AG-3892-01A 57 years, female, stage:i, alive, 396 days 331.1
TCGA-AF-2687-01A 57 years, male, white, stage:iiic, alive, 1427 days 330.1
TCGA-AF-3400-01A 54 years, male, white, stage:iia, alive, 1049 days 326.6
TCGA-EI-7004-01A 37 years, female, white, alive, 257 days 325.5
TCGA-DC-6158-01A 70 years, male, white, stage:i, dead, 334 days 325.3
TCGA-AG-A032-01A 68 years, male, stage:iiib, alive, 1157 days 320.3
TCGA-DC-6683-01A 43 years, male, white, stage:iiib, alive, 762 days 319.5
TCGA-DC-6681-01A 70 years, female, white, stage:iva, alive, 790 days 318.2
TCGA-AH-6644-01A 73 years, male, white, alive, 838 days 316.9
TCGA-EF-5831-01A 72 years, male, white, stage:iia, alive, 127 days 316.9
TCGA-AG-3587-01A 65 years, male, stage:i, alive, 1400 days 315.4
TCGA-AF-2693-01A 75 years, male, white, stage:i, alive, 1155 days 310.0
TCGA-AG-3593-01A 72 years, female, stage:iia, alive, 1035 days 309.3
TCGA-AG-3600-01A 62 years, male, stage:iiic, alive, 184 days 309.2
TCGA-F5-6464-01A 77 years, female, white, stage:iiic, dead, 303 days 308.1
TCGA-AG-3893-01A 74 years, male, stage:iiib, alive, 1065 days 299.0
TCGA-AF-A56K-01A 56 years, male, black or african american, stage:iia, alive, 2635 days 299.0
TCGA-EI-6508-01A 48 years, female, white, stage:iiib, alive, 636 days 298.0
TCGA-AG-4007-01A 87 years, male, stage:iv, alive, 31 days 294.3
TCGA-DC-6156-01A 62 years, male, white, stage:iva, alive, 943 days 293.7
TCGA-AG-3731-01A 65 years, male, stage:iv, alive, 1126 days 291.3
TCGA-F5-6702-01A 71 years, male, white, stage:iva, alive, 869 days 288.3
TCGA-CI-6622-01A 74 years, male, white, stage:iib, alive, 1362 days 287.7
TCGA-AG-3578-01A 76 years, female, stage:iia, alive, 974 days 282.1
TCGA-AG-A026-01A 66 years, male, stage:ii, dead, 59 days 280.4
TCGA-EI-6506-01A 78 years, female, white, stage:iia, alive, 625 days 276.3
TCGA-CI-6621-01A 63 years, male, white, stage:iiib, alive, 419 days 273.9
TCGA-AG-4001-01A 74 years, female, stage:iia, alive, 1096 days 273.8
TCGA-F5-6811-01A 72 years, female, white, stage:iia, alive, 979 days 271.9
TCGA-AG-3890-01A 62 years, male, stage:i, alive, 518 days 268.1
TCGA-AF-2692-01A 54 years, female, white, stage:iia, alive, 412 days 266.2
TCGA-AG-3909-01A 69 years, female, stage:iiib, alive, 608 days 264.6
TCGA-DC-6160-01A 68 years, male, white, stage:i, alive, 1339 days 261.5
TCGA-AH-6547-01A 79 years, female, white, dead, 76 days 256.0
TCGA-AG-3882-01A 66 years, female, stage:i, alive, 608 days 255.8
TCGA-EI-6511-01A 52 years, male, white, stage:iiib, alive, 482 days 254.0
TCGA-EI-6882-01A 59 years, male, white, stage:iia, alive, 262 days 247.5
TCGA-AG-3887-01A 68 years, male, stage:iia, alive, 1124 days 244.7
TCGA-AG-3583-01A 66 years, male, stage:iv, dead, 610 days 241.6
TCGA-AG-3728-01A 73 years, male, stage:iiib, alive, 912 days 241.0
TCGA-AG-3878-01A 64 years, male, stage:i, alive, 30 days 228.4
TCGA-AG-3901-01A 67 years, female, stage:iiib, alive, 761 days 228.2
TCGA-CI-6624-01C 53 years, female, white, stage:i, alive, 1466 days 227.5
TCGA-AF-3913-01A 60 years, male, black or african american, stage:iv, dead, 316 days 223.6
TCGA-AG-3881-01A 83 years, female, stage:iia, alive, 579 days 221.4
TCGA-DC-4749-01A 57 years, male, white, stage:i, alive, 762 days 218.5
TCGA-AG-3883-01A 69 years, male, stage:i, alive, 31 days 211.4
TCGA-AG-3584-01A 60 years, male, stage:iv, dead, 730 days 175.1
TCGA-AG-3726-01A 63 years, female, stage:i, alive, 243 days 156.9
TCGA-AG-3727-01A 78 years, female, stage:iii, alive, 30 days 104.0
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