Leslie G Biesecker1. 1. Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland, USA. lesb@mail.nih.gov.
In this issue of the Journal, Rodriguez-Laguna et al[1] identify somatic mosaic variants in PIK3CA in patients who had been assigned the diagnosis of CLAPO syndrome (apillary malformation of the lower lip, ymphatic malformation predominant on the face and neck, symmetry, and artial/generalized vergrowth, MIM 613089). The findings in this paper raise interesting and important questions, which begins with the question of whether CLAPO syndrome was a legitimate diagnostic entity to begin with.The designation of “CLAPO syndrome” was coined in a 2008 publication by the research group who also wrote the accompanying paper in this issue of the journal. They described six patients with what they proposed to be a distinct clinical diagnostic entity[2]. This entity was discussed in several review articles[3-5], which included several of the original report authors but also others who are authoritative in this field, and were subject to peer and/or editorial evaluation. None of the papers that followed the original report suggested CLAPO was not a valid diagnostic entity. As well, CLAPO is a phenotype entry in OMIM. I conclude that prior to the findings published in this issue, CLAPO was a valid clinical diagnostic entity, to the extent that that phenotypic classification alone is a valid approach to disease taxonomy (which is a critical caveat).Based on the findings in this issue of the Journal, we now know that CLAPO is associated with mosaic activating variants in PIK3CA, raising anew question of the validity of this diagnostic entity. Mosaic PIK3CA variants were first described in a series of four papers in 2012 in patients with a range of phenotypes that included overgrowth, vascular malformation, CNS anomalies, and pigmentary findings. Prior descriptors of some of these phenotypes included CLOVES syndrome, Megalencephaly-Capillary Malformation (MCAP or M-CM), Klippel-Trenaunay syndrome, and isolated anomalies such as single digit macrodactyly. This litany of associations with mosaic PIK3CA variants was surprising and confusing. The CLAPO findings add to that conundrum and the situation begs for rationalization and clarity. In 2014 we gathered a group of experts at the NIH to wrestle with this challenge and moved toward a unification of the distinct entities under the umbrella term of -elated vergrowth pectrum or PROS[6]. The designation of this as a spectrum acknowledged a critical fact – no rational, objective, and clear clinical delineation can be made amongst these entities. Subsequent to our designation of the CLOVE syndrome eponym (ongenital, ipomatous vergrowth, with ascular anomalies and pidermal nevi, later amended to CLOVES for keletal findings[7]) in 2009, we have come to recognize that this ‘syndrome’ was an artifact of the clinical pattern recognition approach to disease delineation. It was correct that the patients we diagnosed with CLOVES were distinct from those with Proteus syndrome (as subsequently confirmed by molecular data[8]), but it was incorrect that those five findings represented a distinct clinico-pathologic entity. Indeed, we have come to recognize just as many or more patients with four, three, two, or just one of those findings, all of which are due to the same or similar variants in PIK3CA. These variant phenotypes blend continuously with one another. This recognition led us to conclude that there is no rational, objective, definable way to distinguish, for example, a patient with CLOVES syndrome from many other patients with PIK3CA-related overgrowth, and therefore, CLOVES syndrome does not exist as a valid, unitary clinical diagnostic entity. The same is likely true for Klippel-Trenaunay syndrome, Hemihyperplasia-multiple lipomatosis, CLAPO, and all other mosaic overgrowth disorders associated with PIK3CA activating variants. While the designation of CLAPO as a distinct clinical entity was reasonable in 2008, with the availability of precise molecular data this designation is not supportable today. The use of CLAPO as a clinical diagnostic entity should be discontinued and patients with that diagnosis should instead be re-diagnosed as having PROS.These considerations of PROS spectrum have implications far beyond patients with somatic variants in PIK3CA. The question is whether diseases should be taxonomically organized based on their molecular or their phenotypic attributes. Our current diagnostic thinking is overwhelmingly phenotypic. But, as molecular insights accrue, a tidal wave of evidence in favor of molecular taxonomy is building. In somatic cancer genetics, it is already here. Oncologists are beginning to treat tumors based on their molecular profile, irrespective of their clinical or histologic attributes. But cancer provides important evidence against a unitary molecular taxonomy of PIK3CA-related phenotypes. Many tumors have somatic PIK3CA variants – many of which are exactly the same somatic variants found in patients with PROS. Such a PIK3CA variant in a malignancy is in a context of dozens or hundreds of other somatic variants. Even if a clinician is willing to accept PROS as a single spectrum disorder, they would be very unlikely to say that a patient with lung cancer and PIK3CA variant has the same taxonomic disease entity as does a patient with isolated macrodactyly. This was the indeed the rationale for a multiaxis diagnostic system for disease[9], which conceptualized a disease entity as having three primary attributes; phenotype, genotype, and environment. A unitary clinico-pathologic disease entity was one that had commonality of each of these three attributes. Clearly, this was not an idea that caught fire, but it has influenced thinking along these lines. Dr. Bonnie Pagon, editor of GeneReviews, has adopted a variation of this concept by describing disorders as phenotype-gene dyads. For example, one can describe a patient’s diagnosis as being “KRAS-related Noonan Syndrome”. This is simpler than the multiaxis concept but captures the same fundamental concept. In this framework, KRAS-related Noonan syndrome is distinct from SOS1-related Noonan syndrome, just as it is distinct from KRAS-related Schimmelpenning-Feuerstein-Mims syndrome, but distinct in a very different way – in one case phenotypic and another molecular.It is unjustifiable at this stage to suggest that either the multi-axis or GeneReviews dyad approach to designating disorders addresses all of the challenges. One challenge is modifiers and complex genetic disorders – these don’t fit well into frameworks that are designed for single gene disorders. Another is again illuminated by mosaicism. There is no rational lower boundary that can be established for the mosaicism level. Patients with recognizable PROS phenotypes have variant allele frequencies between a few percent and 50% in the affected parts of the body, but the cells with the variants may be a very small fraction of their total body cell number. What is the lower limit of this? What is the tissue or cell type that harbors that variant, which must play a key role in determining the presence and nature of the phenotype. Undoubtedly, a person with one cell with a PIK3CA activating variant does not have PROS. Reductio ad absurdum. Addressing this threshold problem will be a challenge.These limitations aside, what CLAPO and PROS tells us is that we have to being thinking about disease entities and diagnoses as having more than one attribute re taxonomic classification. The wrong question is whether we should be using phenotype or genotype, because the answer is that we have to use both, simultaneously, in all patients. Precisely how we do that is an opportunity for further theoretical work as well as clinical and molecular research. But there is no doubt that genomic characterization challenges our unimodal approach to disease taxonomy and we have to develop an effective way to think about our patients on multiple levels, based on multiple attributes, concurrently.
Authors: Marjorie J Lindhurst; Julie C Sapp; Jamie K Teer; Jennifer J Johnston; Erin M Finn; Kathryn Peters; Joyce Turner; Jennifer L Cannons; David Bick; Laurel Blakemore; Catherine Blumhorst; Knut Brockmann; Peter Calder; Natasha Cherman; Matthew A Deardorff; David B Everman; Gretchen Golas; Robert M Greenstein; B Maya Kato; Kim M Keppler-Noreuil; Sergei A Kuznetsov; Richard T Miyamoto; Kurt Newman; David Ng; Kevin O'Brien; Steven Rothenberg; Douglas J Schwartzentruber; Virender Singhal; Roberto Tirabosco; Joseph Upton; Shlomo Wientroub; Elaine H Zackai; Kimberly Hoag; Tracey Whitewood-Neal; Pamela G Robey; Pamela L Schwartzberg; Thomas N Darling; Laura L Tosi; James C Mullikin; Leslie G Biesecker Journal: N Engl J Med Date: 2011-07-27 Impact factor: 91.245
Authors: Kim M Keppler-Noreuil; Jonathan J Rios; Victoria E R Parker; Robert K Semple; Marjorie J Lindhurst; Julie C Sapp; Ahmad Alomari; Marybeth Ezaki; William Dobyns; Leslie G Biesecker Journal: Am J Med Genet A Date: 2014-12-31 Impact factor: 2.802
Authors: Lara Rodriguez-Laguna; Kristina Ibañez; Gema Gordo; Sixto Garcia-Minaur; Fernando Santos-Simarro; Noelia Agra; Elena Vallespín; Victoria E Fernández-Montaño; Rubén Martín-Arenas; Ángela Del Pozo; Héctor González-Pecellín; Rocío Mena; Inmaculada Rueda-Arenas; María V Gomez; Cristina Villaverde; Ana Bustamante; Carmen Ayuso; Víctor L Ruiz-Perez; Julián Nevado; Pablo Lapunzina; Juan C Lopez-Gutierrez; Victor Martinez-Glez Journal: Genet Med Date: 2018-02-15 Impact factor: 8.822