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Erschienen in: Journal of Translational Medicine 1/2022

Open Access 01.12.2022 | Letter to the Editor

Identification of IGF1R mutation as a novel predictor of efficacious immunotherapy in melanoma

verfasst von: Dongshen Ma, Qin Zhang, Qianqian Duan, Yuan Tan, Tingting Sun, Chuang Qi, Yong Qin, Hui Liu

Erschienen in: Journal of Translational Medicine | Ausgabe 1/2022

To the editor,

Insulin-like growth factor-1 receptor (IGF-1R), a member of the tyrosine protein kinase receptor family, displays potent anti-apoptotic and pro-survival capacities and plays a key role in malignant transformation [1]. Previous studies revealed IGF1R-mediated resistance to BRAF and MEK inhibitors in BRAF-mutant melanoma [2]. However, other research indicated that IGF1R is closely connected with high degrees of tumor infiltrates and some immune-related gene expression, which showed the potential of IGF1R in pan-cancer immunotherapy [3]. Therefore, exploring the role of IGF1R in melanoma immunotherapy may provide an alternative treatment option for target-resistant melanoma. To the best of our knowledge, no study has reported the efficacy of immunotherapy in melanoma with IGF1R mutation.
First, 418 melanoma samples derived from seven whole exome sequencing (WES) immunotherapy studies were used to evaluate the association between IGF1R mutation and the efficacy of immunotherapy (http://​www.​cbioportal.​org/​). The study design and clinical information of these patients are shown in Additional file 1: Figure S1 and Additional file 3: Table S1. The results demonstrated that patients with IGF1R mutations harbored a significantly prolonged overall survival (OS) (mOS: NR vs. 22.7 months, HR: 0.35, 95% CI: 0.15–0.86, P = 0.016, Fig. 1A). This relationship remained stable in the multivariate-adjusted Cox model incorporating confounding factors (HR: 0.35, 95% CI: 0.14–0.84, P = 0.019; Fig. 1B). In addition, IGF1R-mutant melanoma had a good clinical response (overall response rate, ORR: 55.56% vs. 33.33%, P = 0.042; Disease control rate, DCR: 77.78% vs. 44.56%, P = 0.007, Fig. 1C and 1D). The predictive value of IGF1R was then validated in 320 melanoma patients from the MSKCC cohort (http://​www.​cbioportal.​org/​). Samples with IGF1R mutation had improved OS (mOS: not reach, NR vs. 42.0 months, HR: 0.34, 95% CI: 0.12–0.92, P = 0.025, Fig. 1E). After taking into account the same confounding factors, the multivariate-adjusted Cox model showed that patients with IGF1R mutations harbored a markedly preferable immunotherapy prognosis than those without such mutations (HR: 0.35, 95% CI: 0.13–0.95, P = 0.039; Fig. 1F). To assess to prognostic value of IGF1R, survival analysis was performed according to IGF1R mutational status in TCGA cohort. No significant difference was found in OS between IGF1R-Mut and IGF1R-Wt subtypes in melanoma (mOS: 268.5 vs. 78.9 months, P = 0.38, Additional file 2: Figure S2).
Considering the superior predictive value of IGF1R in melanoma immunotherapy, we further explored the potential mechanisms. The results showed that IGF1R-mutant tumors had a higher tumor mutation burden (TMB) in both the WES cohort and the MSKCC cohort (Fig. 2A and 2B). Patients with IGF1R mutations exhibited significantly higher tumor neoantigen burden (TNB) than those without IGF1R mutations (Fig. 2C). In addition, IGF1R-mutant samples had significantly increased mutations in the DNA damage response (DDR) pathway (Fig. 2D). Gene set enrichment analysis (GSEA) showed significant enrichment of DNA repair- and oxidative phosphorylation-related pathways in advanced melanoma patients with IGF1R mutation compared to the wildtype (Fig. 2E–G). These results suggested that IGF1R mutation increased tumor immunity.
In summary, our research revealed a favorable link between IGF1R mutation and better clinical outcomes of immunotherapy melanoma patients. Therefore, IGF1R mutation could serve as a predictive biomarker for melanoma patients. Furthermore, validation of the predictive value of IGF1R in prospective trials and more fundamental exploration of its molecular mechanism are needed in the future.

Acknowledgements

None

Declarations

Since the study is based on public data, the informed consent and ethical proof are not required.
All authors give their consent to publish this manuscript.

Competing interests

The authors have no relevant financial or non-financial interests to disclose.
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Literatur
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Zurück zum Zitat Werner H, Sarfstein R, Bruchim I. Investigational IGF1R inhibitors in early stage clinical trials for cancer therapy. Expert Opin Investig Drugs. 2019;28:1101–12.CrossRef Werner H, Sarfstein R, Bruchim I. Investigational IGF1R inhibitors in early stage clinical trials for cancer therapy. Expert Opin Investig Drugs. 2019;28:1101–12.CrossRef
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Zurück zum Zitat Patel H, Mishra R, Yacoub N, Alanazi S, Kilroy MK, Garrett JT. IGF1R/IR mediates resistance to BRAF and MEK inhibitors in BRAF-mutant melanoma. Cancers (Basel). 2021;13:5863.CrossRef Patel H, Mishra R, Yacoub N, Alanazi S, Kilroy MK, Garrett JT. IGF1R/IR mediates resistance to BRAF and MEK inhibitors in BRAF-mutant melanoma. Cancers (Basel). 2021;13:5863.CrossRef
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Zurück zum Zitat Zhang Y, Gao C, Cao F, et al. Pan-cancer analysis of IGF-1 and IGF-1R as potential prognostic biomarkers and immunotherapy targets. Front Oncol. 2021;11:755341.CrossRef Zhang Y, Gao C, Cao F, et al. Pan-cancer analysis of IGF-1 and IGF-1R as potential prognostic biomarkers and immunotherapy targets. Front Oncol. 2021;11:755341.CrossRef
Metadaten
Titel
Identification of IGF1R mutation as a novel predictor of efficacious immunotherapy in melanoma
verfasst von
Dongshen Ma
Qin Zhang
Qianqian Duan
Yuan Tan
Tingting Sun
Chuang Qi
Yong Qin
Hui Liu
Publikationsdatum
01.12.2022
Verlag
BioMed Central
Erschienen in
Journal of Translational Medicine / Ausgabe 1/2022
Elektronische ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-022-03324-8

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