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DelRocco NJ, Loh ML, Borowitz MJ, Gupta S, Rabin KR, Zweidler-McKay P, Maloney KW, Mattano LA, Larsen E, Angiolillo A, Schore RJ, Burke MJ, Salzer WL, Wood BL, Carroll AJ, Heerema NA, Reshmi SC, Gastier-Foster JM, Harvey R, Chen IM, Roberts KG, Mullighan CG, Willman C, Winick N, Carroll WL, Rau RE, Teachey DT, Hunger SP, Raetz EA, Devidas M, Kairalla JA. Enhanced Risk Stratification for Children and Young Adults with B-Cell Acute Lymphoblastic Leukemia: A Children's Oncology Group Report. Leukemia 2024; 38:720-728. [PMID: 38360863 PMCID: PMC10997503 DOI: 10.1038/s41375-024-02166-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 01/15/2024] [Accepted: 01/23/2024] [Indexed: 02/17/2024]
Abstract
Current strategies to treat pediatric acute lymphoblastic leukemia rely on risk stratification algorithms using categorical data. We investigated whether using continuous variables assigned different weights would improve risk stratification. We developed and validated a multivariable Cox model for relapse-free survival (RFS) using information from 21199 patients. We constructed risk groups by identifying cutoffs of the COG Prognostic Index (PICOG) that maximized discrimination of the predictive model. Patients with higher PICOG have higher predicted relapse risk. The PICOG reliably discriminates patients with low vs. high relapse risk. For those with moderate relapse risk using current COG risk classification, the PICOG identifies subgroups with varying 5-year RFS. Among current COG standard-risk average patients, PICOG identifies low and intermediate risk groups with 96% and 90% RFS, respectively. Similarly, amongst current COG high-risk patients, PICOG identifies four groups ranging from 96% to 66% RFS, providing additional discrimination for future treatment stratification. When coupled with traditional algorithms, the novel PICOG can more accurately risk stratify patients, identifying groups with better outcomes who may benefit from less intensive therapy, and those who have high relapse risk needing innovative approaches for cure.
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Affiliation(s)
- N J DelRocco
- Department of Biostatistics, Colleges of Medicine, Public Health and Health Professions, University of Florida, Gainesville, FL, USA.
- Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA.
| | - M L Loh
- Department of Pediatrics and the Ben Towne Center for Childhood Cancer Research, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - M J Borowitz
- Department of Pathology, Johns Hopkins University, Baltimore, MD, USA
| | - S Gupta
- Division of Haematology/Oncology, Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - K R Rabin
- Division of Pediatric Hematology/Oncology, Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | | | - K W Maloney
- Department of Pediatrics, University of Colorado and Children's Hospital Colorado, Aurora, CO, USA
| | | | - E Larsen
- Department of Pediatrics, Maine Children's Cancer Program, Scarborough, ME, USA
| | | | - R J Schore
- Division of Pediatric Oncology, Children's National Hospital, Washington, DC and the George Washington University School of Medicine and Health Sciences, Washington, DC, USA
| | - M J Burke
- Division of Pediatric Hematology-Oncology, Medical College of Wisconsin, Milwaukee, WI, USA
| | - W L Salzer
- Uniformed Services University, F. Edward Hebert School of Medicine, Bethesda, MD, USA
| | - B L Wood
- Children's Hospital Los Angeles, Pathology and Laboratory Medicine, Los Angeles, CA, USA
| | - A J Carroll
- Department of Genetics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - N A Heerema
- Department of Pathology, The Ohio State University Wexner School of Medicine, Columbus, OH, USA
| | - S C Reshmi
- Department of Pathology and Laboratory Medicine, Nationwide Children's Hospital and Departments of Pathology and Pediatrics, Ohio State University College of Medicine, Columbus, OH, USA
| | - J M Gastier-Foster
- Department of Pathology, The Ohio State University Wexner School of Medicine, Columbus, OH, USA
- Department of Pediatrics, Texas Children's Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - R Harvey
- University of New Mexico Cancer Center, Albuquerque, NM, USA
| | - I M Chen
- University of New Mexico Cancer Center, Albuquerque, NM, USA
| | - K G Roberts
- Department of Pathology, St Jude Children's Research Hospital, Memphis, TN, USA
| | - C G Mullighan
- Department of Pathology, St Jude Children's Research Hospital, Memphis, TN, USA
| | - C Willman
- Mayo Clinic, Cancer Center/Laboratory Medicine and Pathology, Rochester, NY, USA
| | - N Winick
- UTSouthwestern, Simmons Cancer Center, Dallas, TX, USA
| | - W L Carroll
- Perlmutter Cancer Center and Department of Pediatrics, NYU Langone Health, New York, NY, USA
| | - R E Rau
- Department of Pediatrics and the Ben Towne Center for Childhood Cancer Research, Seattle Children's Hospital, University of Washington, Seattle, WA, USA
| | - D T Teachey
- Department of Pediatrics and The Center for Childhood Cancer Research, Children's Hospital of Philadelphia and the Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA
| | - S P Hunger
- Department of Pediatrics and The Center for Childhood Cancer Research, Children's Hospital of Philadelphia and the Perelman School of Medicine at The University of Pennsylvania, Philadelphia, PA, USA
| | - E A Raetz
- Perlmutter Cancer Center and Department of Pediatrics, NYU Langone Health, New York, NY, USA
| | - M Devidas
- Department of Global Pediatric Medicine, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - J A Kairalla
- Department of Biostatistics, Colleges of Medicine, Public Health and Health Professions, University of Florida, Gainesville, FL, USA
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Cohen-Solal KA, Reuhl KR, Ryan KB, Roberts KG, Chen S. Development of cutaneous amelanotic melanoma in the absence of a functional tyrosinase. Pigment Cell Res 2001; 14:466-74. [PMID: 11775059 DOI: 10.1034/j.1600-0749.2001.140607.x] [Citation(s) in RCA: 15] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Lack of characteristic pigmentation and a wide range of clinical presentations account for the diagnostic challenge associated with amelanotic malignant melanoma. Experimental studies of this important human cancer have been hampered by the lack of an appropriate animal model. We previously described a transgenic mouse line (TG-3) that spontaneously develops pigmented cutaneous melanoma. F1 crosses were generated with TG-3 and several albino strains, and backcrosses were then made with the albinos. In the present report, we describe the restricted development and characterization of cutaneous amelanotic melanoma in these albino transgenic backcrosses. The incidence and behavior of melanoma in these mice were monitored. A high incidence (80-100%) of spontaneous amelanotic melanoma was observed in albino transgenic mice derived from backcrosses with A, AKR, FVB, and SJL strains. The lowest incidence (30%) was obtained in BALB/c-derived crosses. No tumors were observed in non-transgenic mice. Immunohistochemical and western blot analyses using antibodies against three melanocyte-specific markers of the tyrosinase family of proteins confirmed that the tumors were composed of amelanotic melanocytes. Furthermore, the presence of numerous premelanosomes observed by electron microscopy further supported the melanocytic origin of these tumors. Previous in vitro studies on human melanoma have suggested that cutaneous amelanotic melanoma was evolving from preexisting pigmented cutaneous melanoma. However, our results indicate that it can occur directly, as evidenced by the appearance of cutaneous amelanotic melanoma in the tyrosinase-deficient albino mice. These mice represent a potentially valuable model for studying the mechanistic, diagnostic, and therapeutic features of this highly malignant neoplasm.
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Affiliation(s)
- K A Cohen-Solal
- Department of Chemical Biology, College of Pharmacy, Rutgers, the State University of New Jersey, Piscataway 08854, USA
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Hamilton JA, Stewart LM, Ajayi L, Gray IC, Gray NE, Roberts KG, Watson GJ, Kaisary AV, Snary D. The expression profile for the tumour suppressor gene PTEN and associated polymorphic markers. Br J Cancer 2000; 82:1671-6. [PMID: 10817502 PMCID: PMC2374512 DOI: 10.1054/bjoc.2000.1211] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
PTEN, a putative tumour suppressor gene associated with prostate and other cancers, is known to be located within the chromosomal region 10q23.3. Transcription of the PTEN gives rise to multiple mRNA species. Analyses by Northern blots, using cell lines which express PTEN together with cell lines which have lost the PTEN or carry a truncated version of the gene, has allowed us to demonstrate that the pseudogene is not transcribed. In addition, 3' RACE studies confirmed that the multiple mRNA species arising from the gene probably result from the use of alternative polyadenylation sites. No evidence for tissue- or cell-specific patterns of transcription was found. Analysis by 5' RACE placed the putative site for the start of transcription around 830 bp upstream of the start codon. A map of the location of the PTEN gene with a series of overlapping YAC, BAC and PACs has been constructed and the relative position of eight microsatellite markers sited. Two known and one novel marker have been positioned within the gene, the others are in flanking regions. The more accurate location of these markers should help in future studies of the extent of gene loss. Several polymorphisms were also identified, all were within introns. Four of the common polymorphisms appear to be linked. In blood, DNA from 200 individuals, including normal, BPH and prostate cancer patients, confirmed this link. Only two samples of 200 did not carry the linked haplotype, both were patients with advanced prostate cancer. It is possible that such rearrangements within PTEN could be evidence of predisposition to prostate cancer in this small number of cases.
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MESH Headings
- Alternative Splicing
- Blotting, Northern
- Chromosome Mapping/methods
- Chromosomes, Artificial, Yeast/genetics
- Chromosomes, Bacterial/genetics
- Chromosomes, Human, Pair 10/genetics
- Genes, Tumor Suppressor/genetics
- Genetic Markers
- Humans
- Loss of Heterozygosity
- Microsatellite Repeats/genetics
- PTEN Phosphohydrolase
- Phosphoric Monoester Hydrolases/genetics
- Polymorphism, Genetic
- RNA, Messenger/genetics
- Tumor Cells, Cultured
- Tumor Suppressor Proteins
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Affiliation(s)
- J A Hamilton
- Applied Development Laboratory, Imperial Cancer Research Fund, Dominion House, St Bartholomew's Hospital, London, UK
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Brown CD, Azrolan N, Thomas L, Roberts KG, Bostom A, Zhao ZH, Friedman EA. Reduction of lipoprotein(a) following treatment with lovastatin in patients with unremitting nephrotic syndrome. Am J Kidney Dis 1995; 26:170-7. [PMID: 7611249 DOI: 10.1016/0272-6386(95)90171-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Pharmocologic treatment of the hyperlipidemia associated with the nephrotic syndrome with lovastatin has been previously shown to be safe and effective. However, there is no information on the effect of lovastatin treatment on plasma lipoprotein(a) [Lp(a)] levels in patients with the nephrotic syndrome. We administered lovastatin (40 to 80 mg/day) to 20 adult patients with unremitting nephrotic syndrome for 8 weeks to assess its effect on plasma Lp(a) and other plasma lipid concentrations. Apoprotein(a) (apo(a)) phenotype was determined in all patients. Patients were grouped according to their plasma Lp(a) levels. Those with elevated plasma Lp(a) (> or = 30 mg/dL) were placed in group I and those with normal Lp(a) levels (< 30 mg/dL) were placed in group II. Mean total cholesterol and LDL cholesterol were similarly and significantly reduced in groups I and II (-35.9% and -43.3%, P < 0.0005, P < 0.0005 group I, and -31.0% and -42.0%, P < 0.02, P < 0.03 group II, respectively). The median reduction in plasma Lp(a) was -32% (P < 0.003) in nephrotic patients in group I, whereas the median decline in plasma Lp(a) levels in nephrotic patients in group II was only -8.0% (P = 0.052). The overall frequency of the high molecular weight (M(r)) apo(a) phenotype S4 was 70% in nephrotic patients. There was no correlation between plasma Lp(a) and apo(a) phenotype. Treatment with lovastatin results in a favorable response in terms of total and low-density lipoprotein cholesterol lowering in patients with the nephrotic syndrome; however, plasma Lp(a) levels are uniformly and significantly reduced only in nephrotic patients with elevated baseline plasma Lp(a) concentrations. There was no correlation between plasma Lp(a) concentration and other lipid and biochemical parameters.
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Affiliation(s)
- C D Brown
- Department of Medicine, State University of New York Health Science Center at Brooklyn, USA
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Azrolan N, Brown CD, Thomas L, Hayek T, Zhao ZH, Roberts KG, Scheiner C, Friedman EA. Cyclosporin A has divergent effects on plasma LDL cholesterol (LDL-C) and lipoprotein(a) [Lp(a)] levels in renal transplant recipients. Evidence for renal involvement in the maintenance of LDL-C and the elevation of Lp(a) concentrations in hemodialysis patients. Arterioscler Thromb 1994; 14:1393-8. [PMID: 8068598 DOI: 10.1161/01.atv.14.9.1393] [Citation(s) in RCA: 24] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Cardiovascular disease is the major cause of mortality in renal transplant recipients. Plasma levels of low-density lipoprotein cholesterol (LDL-C) are often elevated following renal transplantation, and the immunosuppressant cyclosporin A has been implicated as a predisposing factor for posttransplantation hyperlipidemia. Lipoprotein(a) [Lp(a)] is an LDL-like lipoprotein particle; elevated levels of Lp(a) provide an independent and significant risk factor for cardiovascular disease. Plasma concentrations of Lp(a) vary greatly among individuals, and the mechanisms that govern changes in their levels in transplant patients are unknown. The effect(s) of cyclosporin A on Lp(a) was studied in two groups of renal transplantation patients. In group I plasma lipoproteins including Lp(a) were measured before and after successful renal transplantation; this group received both prednisone and cyclosporin A for immunosuppression. Group II patients were studied after renal transplantation and received prednisone alone for immunosuppression. Following surgery, group I patients demonstrated increased plasma concentrations of LDL-C (mean +/- SEM range, 111 +/- 6 to 142 +/- 17 mg/dL; P < .005). In contrast, plasma Lp(a) levels for this group were markedly decreased after renal transplantation (median, 34.3 to 19.7 mg/dL). Patients not treated with cyclosporin A (group II) exhibited mean LDL-C and median Lp(a) levels (118 +/- 42 and 33.1 mg/dL, respectively) that were remarkably similar to those observed before renal transplantation (group I). These data confirm that hyperlipidemia following renal transplantation is associated with cyclosporin A therapy and show that this drug has opposing effects on plasma Lp(a) and LDL-C accumulations.(ABSTRACT TRUNCATED AT 250 WORDS)
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Affiliation(s)
- N Azrolan
- Laboratory of Biochemical Genetics and Metabolism, Rockefeller University, New York, NY 10021
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