Literature DB >> 27029497

Telomere length connects melanoma and glioma predispositions.

Alyson A Endicott, Jennie W Taylor, Kyle M Walsh1.   

Abstract

Entities:  

Keywords:  glioma; melanoma; telomerase; telomere

Mesh:

Year:  2016        PMID: 27029497      PMCID: PMC4833136          DOI: 10.18632/aging.100935

Source DB:  PubMed          Journal:  Aging (Albany NY)        ISSN: 1945-4589            Impact factor:   5.682


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Glioma and melanoma are rapidly-progressing malignancies that arise from neuroectodermal origin. SEER registry data indicate that melanoma patients are at significantly increased risk of developing glioma (OR=1.42, 95%CI=1.22-1.62)[1]. Although a shared genetic etiology is suggested by melanoma-astrocytoma syndrome, an inherited cancer predisposition due to germline CDKN2A mutation, this Mendelian disorder cannot account for the increased co-occurrence of melanoma and glioma observed at the population level[1]. Recent epidemiologic research has identified additional germline variants that confer risk of both glioma and melanoma and which implicate telomere maintenance in the development of these cancers. Telomeres are repetitive DNA sequences that cap and protect chromosomes and are depleted with each somatic cellular division. Because telomere attrition causes replicative senescence, increased telomere length may allow for prolonged cell survival, increased accrual of mutations, and greater propensity for malignant transformation. A very large genome-wide association study (GWAS) conducted by the ENGAGE Consortium has identified seven genes that are reproducibly associated with inter-individual variation in leukocyte telomere length (LTL), including single nucleotide polymorphisms (SNPs) in: ACYP2, TERC, NAF1, TERT, OBFC1, ZNF208, and RTEL1[2]. In addition to the effects of these genes on LTL, recent GWAS also identified glioma susceptibility loci near TERT, TERC, and RTEL1[3] and melanoma susceptibility loci near TERC, TERT, OBFC1, and RTEL1[4]. Taken together, these GWAS suggest that telomere length may be a common link between the genetic architecture of melanoma and glioma predisposition. In a recent Mendelian randomization study [5], Walsh et al. assessed the impact of LTL on glioma risk in independent case-control datasets from the UCSF Adult Glioma Study (652 patients, 3735 controls) and The Cancer Genome Atlas (478 patients, 2559 controls). A genetic score predictive of LTL was constructed using a weighted linear combination of subject genotype at the seven lead LTL-associated SNPs first identified by the ENGAGE Consortium [2]. A genetic predisposition to longer LTL was associated with increased glioma risk in both the discovery (7.8×10−8) and replication sets (1.5×10−3), and glioma risk increased monotonically with increasing septiles of LTL[5]. In analyses of individual LTL-associated SNPs, those in TERC, TERT and OBFC1 were significantly associated with glioma risk [5]. By using inherited genetic variants, present since birth, to estimate inter-individual differences in telomere length, associations between telomere length and glioma risk could not be confounded by age, environmental factors, chemotherapy or tumor microenvironment. In another recent Mendelian randomization study, Iles et al. investigated the effect of telomere length on melanoma risk using the same seven SNPs (11108 patients, 13933 controls) [6]. They too constructed a genetic score predictive of LTL and found that higher telomere scores were strongly associated with increased melanoma risk (P=8.9×10−9)[6]. Additionally, grouping scores into quartiles revealed a significant linear trend between increasing LTL and increasing melanoma risk. In analyses of individual LTL-associated SNPs, those in TERC, TERT, NAF1, and OBFC1 were significantly associated with melanoma risk [6]. Because the Mendelian randomization studies of glioma [5] and of melanoma [6] investigated the same seven LTL-associated SNPs, we can directly compare the effect that these SNPs have on both cancer types. As seen in Figure 1, a positive correlation between a SNP's effect on glioma risk and its effect on melanoma risk is observed (r=0.56). The strongest effects were observed at rs10936599 (TERC), rs2736100 (TERT) and rs9420907 (OBFC1). A strong melanoma association was also detected at rs7675998 (NAF1), but a similar association was not observed with glioma. Correspondingly, SNPs in the telomerase component genes TERC and TERT also had the strongest association with LTL in the ENGAGE Consortium data, followed by those in NAF1 and OBFC1.
Figure 1

The effect of telomere-lengthening variants on the risks of glioma and melanoma

Seven single nucleotide polymorphisms (SNPs) associated with inter-individual variation in leukocyte telomere length (LTL) were evaluated for their association with risks of glioma [5] and melanoma[6]. The x-axis plots the effect size of each SNP on glioma risk, while the y-axis plots the effect size of each SNP on melanoma risk. Effect sizes are displayed as Beta values from ancestry-adjusted logistic regression analyses. A positive correlation between a SNP's effect on glioma and its effect on melanoma was observed (r=0.56). Bubble sizes are proportional to the effect size of each SNP on LTL[2]. Beta values for glioma and melanoma are for each additional copy of the allele associated with longer LTL.

The effect of telomere-lengthening variants on the risks of glioma and melanoma

Seven single nucleotide polymorphisms (SNPs) associated with inter-individual variation in leukocyte telomere length (LTL) were evaluated for their association with risks of glioma [5] and melanoma[6]. The x-axis plots the effect size of each SNP on glioma risk, while the y-axis plots the effect size of each SNP on melanoma risk. Effect sizes are displayed as Beta values from ancestry-adjusted logistic regression analyses. A positive correlation between a SNP's effect on glioma and its effect on melanoma was observed (r=0.56). Bubble sizes are proportional to the effect size of each SNP on LTL[2]. Beta values for glioma and melanoma are for each additional copy of the allele associated with longer LTL. Although GWAS are designed to detect common low-penetrance risk alleles, next-generation sequencing approaches can address the impact of rare variation on cancer risk. Through whole-exome sequencing of families with multiple glioma diagnoses, mutations in POT1 (Protection of Telomeres 1) have been identified as high-penetrance glioma risk factors. POT1 encodes one of six members of the shelterin complex, playing a key role in telomere protection and telomerase regulation. Remarkably, high-penetrance germline mutations in three shelterin complex genes (POT1, ACD, and TERF2IP) have also been identified as causes of familial melanoma [7]. Thus, rare variants in shelterin complex genes link melanoma and glioma predisposition to additional Mendelian disorders, the first since CDKN2A deletions were characterized in melanoma-astrocytoma syndrome. The convergence of melanoma and glioma predisposition on genes involved in telomere maintenance strengthens the connection between these malignancies. From a clinical perspective, neuro-oncologists may want to consider the potential benefits of regular skin checks for their glioma patients. This is increasingly important as adults with lower-grade gliomas are surviving longer after diagnosis (>10 years). As future research begins to identify the full complement of genes involved in telomere lengthening, we may discover more shared genetic etiology linking these malignancies.
  7 in total

Review 1.  Telomere maintenance and the etiology of adult glioma.

Authors:  Kyle M Walsh; John K Wiencke; Daniel H Lachance; Joseph L Wiemels; Annette M Molinaro; Jeanette E Eckel-Passow; Robert B Jenkins; Margaret R Wrensch
Journal:  Neuro Oncol       Date:  2015-05-25       Impact factor: 12.300

2.  Exploring the association between melanoma and glioma risks.

Authors:  Peter M Scarbrough; Igor Akushevich; Margaret Wrensch; Dora Il'yasova
Journal:  Ann Epidemiol       Date:  2014-03-04       Impact factor: 3.797

3.  The effect on melanoma risk of genes previously associated with telomere length.

Authors:  Mark M Iles; D Timothy Bishop; John C Taylor; Nicholas K Hayward; Myriam Brossard; Anne E Cust; Alison M Dunning; Jeffrey E Lee; Eric K Moses; Lars A Akslen; Per A Andresen; Marie-Françoise Avril; Esther Azizi; Giovanna Bianchi Scarrà; Kevin M Brown; Tadeusz Dębniak; David E Elder; Eitan Friedman; Paola Ghiorzo; Elizabeth M Gillanders; Alisa M Goldstein; Nelleke A Gruis; Johan Hansson; Mark Harland; Per Helsing; Marko Hočevar; Veronica Höiom; Christian Ingvar; Peter A Kanetsky; Maria Teresa Landi; Julie Lang; G Mark Lathrop; Jan Lubiński; Rona M Mackie; Nicholas G Martin; Anders Molven; Grant W Montgomery; Srdjan Novaković; Håkan Olsson; Susana Puig; Joan Anton Puig-Butille; Graham L Radford-Smith; Juliette Randerson-Moor; Nienke van der Stoep; Remco van Doorn; David C Whiteman; Stuart MacGregor; Karen A Pooley; Sarah V Ward; Graham J Mann; Christopher I Amos; Paul D P Pharoah; Florence Demenais; Matthew H Law; Julia A Newton Bishop; Jennifer H Barrett
Journal:  J Natl Cancer Inst       Date:  2014-09-17       Impact factor: 11.816

4.  Variants near TERT and TERC influencing telomere length are associated with high-grade glioma risk.

Authors:  Kyle M Walsh; Veryan Codd; Ivan V Smirnov; Terri Rice; Paul A Decker; Helen M Hansen; Thomas Kollmeyer; Matthew L Kosel; Annette M Molinaro; Lucie S McCoy; Paige M Bracci; Belinda S Cabriga; Melike Pekmezci; Shichun Zheng; Joseph L Wiemels; Alexander R Pico; Tarik Tihan; Mitchell S Berger; Susan M Chang; Michael D Prados; Daniel H Lachance; Brian Patrick O'Neill; Hugues Sicotte; Jeanette E Eckel-Passow; Pim van der Harst; John K Wiencke; Nilesh J Samani; Robert B Jenkins; Margaret R Wrensch
Journal:  Nat Genet       Date:  2014-06-08       Impact factor: 38.330

5.  Identification of seven loci affecting mean telomere length and their association with disease.

Authors:  Veryan Codd; Christopher P Nelson; Eva Albrecht; Massimo Mangino; Joris Deelen; Jessica L Buxton; Jouke Jan Hottenga; Krista Fischer; Tõnu Esko; Ida Surakka; Linda Broer; Dale R Nyholt; Irene Mateo Leach; Perttu Salo; Sara Hägg; Mary K Matthews; Jutta Palmen; Giuseppe D Norata; Paul F O'Reilly; Danish Saleheen; Najaf Amin; Anthony J Balmforth; Marian Beekman; Rudolf A de Boer; Stefan Böhringer; Peter S Braund; Paul R Burton; Anton J M de Craen; Matthew Denniff; Yanbin Dong; Konstantinos Douroudis; Elena Dubinina; Johan G Eriksson; Katia Garlaschelli; Dehuang Guo; Anna-Liisa Hartikainen; Anjali K Henders; Jeanine J Houwing-Duistermaat; Laura Kananen; Lennart C Karssen; Johannes Kettunen; Norman Klopp; Vasiliki Lagou; Elisabeth M van Leeuwen; Pamela A Madden; Reedik Mägi; Patrik K E Magnusson; Satu Männistö; Mark I McCarthy; Sarah E Medland; Evelin Mihailov; Grant W Montgomery; Ben A Oostra; Aarno Palotie; Annette Peters; Helen Pollard; Anneli Pouta; Inga Prokopenko; Samuli Ripatti; Veikko Salomaa; H Eka D Suchiman; Ana M Valdes; Niek Verweij; Ana Viñuela; Xiaoling Wang; H-Erich Wichmann; Elisabeth Widen; Gonneke Willemsen; Margaret J Wright; Kai Xia; Xiangjun Xiao; Dirk J van Veldhuisen; Alberico L Catapano; Martin D Tobin; Alistair S Hall; Alexandra I F Blakemore; Wiek H van Gilst; Haidong Zhu; Jeanette Erdmann; Muredach P Reilly; Sekar Kathiresan; Heribert Schunkert; Philippa J Talmud; Nancy L Pedersen; Markus Perola; Willem Ouwehand; Jaakko Kaprio; Nicholas G Martin; Cornelia M van Duijn; Iiris Hovatta; Christian Gieger; Andres Metspalu; Dorret I Boomsma; Marjo-Riitta Jarvelin; P Eline Slagboom; John R Thompson; Tim D Spector; Pim van der Harst; Nilesh J Samani
Journal:  Nat Genet       Date:  2013-04       Impact factor: 38.330

6.  Genome-wide meta-analysis identifies five new susceptibility loci for cutaneous malignant melanoma.

Authors:  Jeffrey E Lee; Myriam Brossard; Florence Demenais; Christopher I Amos; Matthew H Law; D Timothy Bishop; Nicholas G Martin; Eric K Moses; Fengju Song; Jennifer H Barrett; Rajiv Kumar; Douglas F Easton; Paul D P Pharoah; Anthony J Swerdlow; Katerina P Kypreou; John C Taylor; Mark Harland; Juliette Randerson-Moor; Lars A Akslen; Per A Andresen; Marie-Françoise Avril; Esther Azizi; Giovanna Bianchi Scarrà; Kevin M Brown; Tadeusz Dębniak; David L Duffy; David E Elder; Shenying Fang; Eitan Friedman; Pilar Galan; Paola Ghiorzo; Elizabeth M Gillanders; Alisa M Goldstein; Nelleke A Gruis; Johan Hansson; Per Helsing; Marko Hočevar; Veronica Höiom; Christian Ingvar; Peter A Kanetsky; Wei V Chen; Maria Teresa Landi; Julie Lang; G Mark Lathrop; Jan Lubiński; Rona M Mackie; Graham J Mann; Anders Molven; Grant W Montgomery; Srdjan Novaković; Håkan Olsson; Susana Puig; Joan Anton Puig-Butille; Abrar A Qureshi; Graham L Radford-Smith; Nienke van der Stoep; Remco van Doorn; David C Whiteman; Jamie E Craig; Dirk Schadendorf; Lisa A Simms; Kathryn P Burdon; Dale R Nyholt; Karen A Pooley; Nick Orr; Alexander J Stratigos; Anne E Cust; Sarah V Ward; Nicholas K Hayward; Jiali Han; Hans-Joachim Schulze; Alison M Dunning; Julia A Newton Bishop; Stuart MacGregor; Mark M Iles
Journal:  Nat Genet       Date:  2015-08-03       Impact factor: 38.330

7.  Longer genotypically-estimated leukocyte telomere length is associated with increased adult glioma risk.

Authors:  Kyle M Walsh; Veryan Codd; Terri Rice; Christopher P Nelson; Ivan V Smirnov; Lucie S McCoy; Helen M Hansen; Edward Elhauge; Juhi Ojha; Stephen S Francis; Nils R Madsen; Paige M Bracci; Alexander R Pico; Annette M Molinaro; Tarik Tihan; Mitchel S Berger; Susan M Chang; Michael D Prados; Robert B Jenkins; Joseph L Wiemels; Nilesh J Samani; John K Wiencke; Margaret R Wrensch
Journal:  Oncotarget       Date:  2015-12-15
  7 in total
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1.  Sex-specific gene and pathway modeling of inherited glioma risk.

Authors:  Quinn T Ostrom; Warren Coleman; William Huang; Joshua B Rubin; Justin D Lathia; Michael E Berens; Gil Speyer; Peter Liao; Margaret R Wrensch; Jeanette E Eckel-Passow; Georgina Armstrong; Terri Rice; John K Wiencke; Lucie S McCoy; Helen M Hansen; Christopher I Amos; Jonine L Bernstein; Elizabeth B Claus; Richard S Houlston; Dora Il'yasova; Robert B Jenkins; Christoffer Johansen; Daniel H Lachance; Rose K Lai; Ryan T Merrell; Sara H Olson; Siegal Sadetzki; Joellen M Schildkraut; Sanjay Shete; Ulrika Andersson; Preetha Rajaraman; Stephen J Chanock; Martha S Linet; Zhaoming Wang; Meredith Yeager; Beatrice Melin; Melissa L Bondy; Jill S Barnholtz-Sloan
Journal:  Neuro Oncol       Date:  2019-01-01       Impact factor: 12.300

2.  A pleiotropic ATM variant (rs1800057 C>G) is associated with risk of multiple cancers.

Authors:  Danwen Qian; Hongliang Liu; Lingling Zhao; Sheng Luo; Kyle M Walsh; Jiaoti Huang; Chuan-Yuan Li; Qingyi Wei
Journal:  Carcinogenesis       Date:  2022-02-11       Impact factor: 4.741

3.  Telomere Length and Magnetic Resonance Imaging Findings of Vascular Brain Injury and Central Brain Atrophy: The Strong Heart Study.

Authors:  Astrid M Suchy-Dicey; Clemma J Muller; Tara M Madhyastha; Dean Shibata; Shelley A Cole; Jinying Zhao; W T Longstreth; Dedra Buchwald
Journal:  Am J Epidemiol       Date:  2018-06-01       Impact factor: 4.897

  3 in total

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