Acral melanoma: Molecular subtyping as a gateway to precision medicine

IF 8 2区 医学 Q1 DERMATOLOGY
Emi Dika, Elisabetta Magnaterra
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引用次数: 0

Abstract

Acral melanoma (AM) is a uniquely challenging subtype of melanoma, often diagnosed at advanced stages and with limited therapeutic options.1, 2 Its distinct biological and clinical behaviour, as well as its rarity in Caucasian populations, have long hindered large-scale molecular studies. Prior limited single-center studies have shown variable somatic mutational patterns of AM and have not concluded towards any correlation with prognosis or clinical behaviour.3 This inconsistency has underscored the need for alternative strategies to characterize AM at the molecular level.

The recent work by Yin et al.4 marks a significant advance in our understanding of AM by identifying two molecularly and prognostically distinct subtypes using an integrative multi-omics approach.

Using an integrative analysis of bulk and single-cell RNA sequencing data, enhanced by a network-based gene prioritization approach (CIPHER/CIPHER-SC), the authors classified AM into two biologically and clinically distinct subtypes. Subtype I was associated with thinner tumours, a more immune-inflamed microenvironment and better prognosis, while Subtype II showed macrophage-driven immunosuppression and worse outcomes. To support this classification, they identified a minimal gene panel composed of EREG, predominantly expressed in Subtype I and RAB20, FCGR3A and VSIG4, specifically upregulated in Subtype II. This four-gene signature demonstrated strong discriminatory power and may serve as a useful tool for patient stratification in future research and clinical applications.

Beyond its technical innovation, this study underscores a broader paradigm shift. Transcriptomic technologies—particularly at the single-cell level—are redefining our understanding of tumour biology, especially in underexplored entities like AM. As our knowledge of AM pathogenesis expands, so too does the opportunity to develop targeted therapies and predictive biomarkers of immunotherapy response. The distinct immune landscapes described—especially the divergent roles of FCN1+ and SPP1+ macrophages—open new avenues for therapeutic intervention, including macrophage modulation strategies.5

Nonetheless, several questions remain open. The clinical relevance of AM warrants further exploration. Are there associations between subtypes and anatomical localization—for instance, a predilection of Subtype II for the nail apparatus melanoma, which has been associated with more aggressive behaviour in previous studies? Does histopathological subtype (acral lentiginous vs. nodular or superficial spreading) correlate with molecular classification? The authors do not stratify their analysis by histopathologic subtype, which could add important context given the known heterogeneity of AM even within acral sites.

Furthermore, while the use of high-throughput sequencing and computational methods is laudable, the costs and complexity of such technologies remain non-trivial. Widespread adoption in clinical practice will require validation in larger, prospective cohorts and the development of streamlined assays, ideally applicable to formalin-fixed tissue. It is encouraging, however, that the biomarker panel described consists of only four genes, which may be adaptable to immunohistochemistry or RT-qPCR platforms in the near future.

Ultimately, whether and how this molecular framework will translate into improved patient care remains to be seen. Still, it offers a promising foundation for future research and a step forward in addressing the biological complexity of a melanoma subtype that has long remained underexplored.

E.D. is on the advisory board or has received honoraria from Regeneron, Novartis, Difacooper, Bristol-Myers Squibb, MSD Sharp &Dohme, Pierre-Fabre Pharma, Sanofi Genzyme, SUN Pharma and travel support from SUN Pharma, outside the submitted work. E.M. has nothing to disclose.

肢端黑色素瘤:分子分型作为精准医学的门户。
肢端黑色素瘤(AM)是一种独特的具有挑战性的黑色素瘤亚型,通常在晚期诊断出来,治疗选择有限。1,2其独特的生物学和临床行为,以及其在高加索人群中的稀缺性,长期以来阻碍了大规模的分子研究。先前有限的单中心研究显示AM的可变体细胞突变模式,并没有得出与预后或临床行为相关的结论这种不一致强调了在分子水平上表征AM的替代策略的必要性。Yin等人最近的工作4标志着我们对AM的理解取得了重大进展,他们使用综合多组学方法鉴定了两种分子和预后不同的亚型。通过对大量和单细胞RNA测序数据的综合分析,通过基于网络的基因优先排序方法(CIPHER/CIPHER- sc),作者将AM分为两种生物学和临床不同的亚型。亚型I与更薄的肿瘤、更免疫炎症的微环境和更好的预后相关,而亚型II表现为巨噬细胞驱动的免疫抑制和更差的预后。为了支持这一分类,他们发现了一个由EREG组成的最小基因面板,主要表达于亚型I和RAB20, FCGR3A和VSIG4,在亚型II中特异性上调。这种四基因标记显示出很强的区分能力,可以作为未来研究和临床应用中患者分层的有用工具。除了技术创新,这项研究还强调了更广泛的范式转变。转录组学技术——特别是在单细胞水平上——正在重新定义我们对肿瘤生物学的理解,特别是在像AM这样未被充分探索的实体中。随着我们对AM发病机制的了解不断扩大,开发靶向治疗和预测免疫治疗反应的生物标志物的机会也越来越多。不同的免疫景观-特别是FCN1+和SPP1+巨噬细胞的不同作用-为治疗干预开辟了新的途径,包括巨噬细胞调节策略。尽管如此,仍有几个问题有待解决。AM的临床意义值得进一步探讨。亚型与解剖定位之间是否存在关联?例如,在之前的研究中,甲部黑色素瘤偏爱亚型II,这与更具攻击性的行为有关?组织病理学亚型(肢端透镜状、结节状或浅表扩散)与分子分类相关吗?作者没有按组织病理学亚型对他们的分析进行分层,这可能会增加重要的背景,因为已知AM甚至在肢端部位也存在异质性。此外,虽然高通量测序和计算方法的使用值得称赞,但这些技术的成本和复杂性仍然不容忽视。在临床实践中的广泛采用将需要在更大的前瞻性队列中进行验证,并开发简化的检测方法,理想情况下适用于福尔马林固定组织。然而,令人鼓舞的是,所描述的生物标志物面板仅由四个基因组成,在不久的将来可能适用于免疫组织化学或RT-qPCR平台。最终,这个分子框架是否以及如何转化为更好的病人护理还有待观察。尽管如此,它为未来的研究提供了一个有希望的基础,并在解决长期未被探索的黑色素瘤亚型的生物学复杂性方面向前迈进了一步。在提交的工作之外,是顾问委员会成员或获得了来自Regeneron、诺华(Novartis)、Difacooper、百时美施贵宝(Bristol-Myers Squibb)、MSD Sharp & Dohme、皮埃尔法伯制药(皮埃尔法伯制药)、赛诺菲健赞(Sanofi Genzyme)、太阳制药(SUN Pharma)的酬金和旅行支持。E.M.没有什么要透露的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.70
自引率
8.70%
发文量
874
审稿时长
3-6 weeks
期刊介绍: The Journal of the European Academy of Dermatology and Venereology (JEADV) is a publication that focuses on dermatology and venereology. It covers various topics within these fields, including both clinical and basic science subjects. The journal publishes articles in different formats, such as editorials, review articles, practice articles, original papers, short reports, letters to the editor, features, and announcements from the European Academy of Dermatology and Venereology (EADV). The journal covers a wide range of keywords, including allergy, cancer, clinical medicine, cytokines, dermatology, drug reactions, hair disease, laser therapy, nail disease, oncology, skin cancer, skin disease, therapeutics, tumors, virus infections, and venereology. The JEADV is indexed and abstracted by various databases and resources, including Abstracts on Hygiene & Communicable Diseases, Academic Search, AgBiotech News & Information, Botanical Pesticides, CAB Abstracts®, Embase, Global Health, InfoTrac, Ingenta Select, MEDLINE/PubMed, Science Citation Index Expanded, and others.
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