Emerging targeted therapies for melanoma

Inhibition of STAT3 signaling contributes to the anti-melanoma effects of chrysoeriol

BACKGROUND

Melanoma is an aggressive malignancy with a high mortality rate. Signal transducer and activator of transcription 3 (STAT3), an oncoprotein, is considered as an effective target for treating melanoma. Chrysoeriol is a flavonoid compound, and possesses anti-tumor activity in lung cancer, breast cancer and multiple myeloma; while whether it has anti-melanoma effects is still not known. Chrysoeriol has been shown to restrain STAT3 signaling in an inflammation mouse model.

PURPOSE

In this study, the anti-melanoma effects of chrysoeriol and the involvement of STAT3 signaling in these effects were investigated.

STUDY DESIGN AND METHODS

CCK8 assays, 5-ethynyl-2'-deoxyuridine (EdU) staining, Annexin V-FITC/PI staining, Western blot analyses of cleaved caspase-9 and wound healing assays were used to study the anti-melanoma effects of chrysoeriol in cell models. A B16F10 melanoma bearing mouse model was used to evaluate the in vivo anti-melanoma effects of chrysoeriol. Indicators of cell proliferation, cell apoptosis and angiogeneis in melanoma tissues were detected by immunohistochemistry (IHC) staining and terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling (TUNEL) staining. Immune cells in melanoma tissues were analyzed by flow cytometry. STAT3-overactivated cell models were used to investigate the involvement of STAT3 signaling in the anti-melanoma effects of chrysoeriol. Molecular dynamics (MD) simulations and surface plasmon resonance (SPR) assays were conducted to determine whether chrysoeriol binds to Src, an upstream kinase of STAT3.

RESULTS

The results of cell experiments showed that chrysoeriol dose-dependently inhibited viability, proliferation and migration of, and induced apoptosis in, A375 and B16F10 melanoma cells. Chrysoeriol inhibited the phosphorylation of STAT3, and downregulated the expression of STAT3-target genes involved in melanoma growth and metastasis. Mouse studies showed that chrysoeriol restrained melanoma growth and tumor-related angiogenesis, and altered compositions of immune cells in melanoma microenvironment. Chrysoeriol also inhibited STAT3 signaling in B16F10 allografts. Chrysoeriol's viability-inhibiting effects were attenuated by over-activating STAT3 in A375 cells. Furthermore, chrysoeriol bound to the protein kinase domain of Src, and suppressed Src phosphorylation in melanoma cells and tissues.

CONCLUSION

This study, for the first time, demonstrates that chrysoeriol has anti-melanoma effects, and these effects are partially due to inhibiting STAT3 signaling. Our findings indicate that chrysoeriol has the potential to be developed into an anti-melanoma agent.

Identification of prognosis-related hub genes of ovarian cancer through bioinformatics analyses and experimental verification

Ovarian cancer (OC) is a lethal and highly prevalent disease in women worldwide. The disease is often diagnosed in late stages, which leads to its rapid progression and low survival rate. This study aims to identify new prognostic genes for OC. Based on 2 datasets from the National Center for Biotechnology Information Gene Expression Omnibus public database, we constructed 2 Weighted Gene Co-expression Network Analysis networks. Then, we selected and intersected 2 key modules to screen key genes. Enrichment analyses were performed, and a protein-protein interaction network was constructed. The cytoHubba plugin of Cytoscape and survival analysis were used to screen hub genes related to prognosis. The expression of hub genes was analyzed by GEPIA and verified by quantitative Real-Time PCR. Gene alteration frequency analysis, gene set variation analysis, immune infiltration analysis, drug sensitivity analysis, tumor mutation burden, and neoantigen analyses were conducted to determine the prognostic value and molecular mechanisms of the hub genes. In total, 214 key genes were selected from 2 Weighted Gene Co-expression Network Analysis networks, and 3 hub genes, namely ALDH1A2, CLDN4, and GPR37, were identified as prognostic candidates through cytoHubba and survival analysis. Three hub genes were significantly associated with overall survival of OC patients. GEPIA and quantitative Real-Time PCR indicated that ALDH1A2 expression was significantly downregulated, while expression of CLDN4 and GPR37 was upregulated in OC samples compared with normal samples. CIBERSORT showed that 3 hub genes were closely associated with the infiltrating immune cells. GDSC showed that hub genes expression influenced IC50 values of chemotherapeutic drugs. OC patients with high expression of ALDH1A2 and CLDN4 had lower TMB and low ALDH1A2 expression could produce a larger number of neoantigens. In conclusion, the 3 hub genes (ALDH1A2, CLDN4 and GPR37) identified through bioinformatics analyses in the present study may serve as OC prognosis biomarkers. The study findings offer valuable insights into OC progression and mechanisms.

Single-cell transcriptomic analysis reveals circadian rhythm disruption associated with poor prognosis and drug-resistance in lung adenocarcinoma

Circadian rhythm disruption (CRD) represents a major contributor to tumor proliferation. Nonetheless, the role of CRD in the clinical prediction of cancer outcomes has not been well studied. In this study, we developed a computational algorithm, which was implemented in an open-source R package CRDscore, to define the intratumoral status of circadian disruption in three representative single-cell RNA-seq data sets of lung adenocarcinoma. We found that the malignant cells with high CRDscore were characterized by activation of glycolysis and epithelial-mesenchymal transition pathways. Furthermore, cell communication analysis indicated that CRD played a pivotal role in T cell exhaustion, which may be responsible for the poor prognosis of the malignancy. We then validated the findings with public bulk transcriptome datasets involving 22 cancer types. Cox regression analysis revealed that the CRDscore was a valuable prognostic biomarker. A model containing 23 circadian-related genes performed well in predicting immunotherapeutic outcomes in 14 independent cohorts. Importantly, decreased CRDscore was detect by RNA sequencing on H1299 cells with melatonin treatment. Meanwhile, the cells downregulated the expression level of SNAIL and TWIST, which contributed to an invasive phenotype. In conclusion, this study provides a novel computational framework for characterizing CRD status using single-cell transcriptomic data and further confirmed the molecular mechanisms underlying metabolic reprogramming and T cell exhaustion under CRD. The better understanding of the mechanisms may provide new possibilities for incorporating "anticancer approaches based on circadian clocks" into the treatment protocols of precision medicine.

A Review of Cancer Immunotherapy Toxicity: Immune Checkpoint Inhibitors

Cancer immunotherapy, which leverages features of the immune system to target neoplastic cells, has revolutionized the treatment of cancer. The use of these therapies has rapidly expanded in the past two decades. Immune checkpoint inhibitors represent one drug class within immunotherapy with its first agent FDA-approved in 2011. Immune checkpoint inhibitors act by disrupting inhibitory signals from neoplastic cells to immune effector cells, allowing activated T-cells to target these neoplastic cells. Unique adverse effects associated with immune checkpoint inhibitors are termed immune-related adverse effects (irAEs) and are usually immunostimulatory in nature. Almost all organ systems may be affected by irAEs including the dermatologic, gastrointestinal, pulmonary, endocrine, and cardiovascular systems. These effects range from mild to life-threatening, and their onset can be delayed several weeks or months. For mild irAEs, symptomatic care is usually sufficient. For higher grade irAEs, discontinuation of therapy and initiation of immunosuppressive therapy may be necessary. The management of patients with irAEs involves multidisciplinary care coordination with respect to the long-term goals the individual patient. Clinicians must be aware of the unique and sometimes fatal toxicologic profiles associated with immunotherapies to ensure prompt diagnosis and appropriate management.

Recent Progress in Nanomedicine for Melanoma Theranostics With Emphasis on Combination Therapy

Melanoma is an aggressive type of skin cancer with increasing incidence and high mortality rates worldwide. However, there is still a lack of efficient and resolutive treatment strategies, particularly in clinical settings. Currently, nanomedicine, an emerging area in the medical field, is being widely investigated in small animal models to afford melanoma theranostics. However, several problems, such as tumor heterogeneity, and drug resistance treatment with a single therapy, remain unresolved. Previous reviews have primarily focused on monotherapy for melanoma in the context of nanomedicine. In this review article, we summarize the recent progress in the application of nanomedicine for melanoma treatment, with particular attention to combination therapy based on nanomedicine to achieve optimized therapeutic output for melanoma treatment. In addition, we also highlight the fluorescence-guided strategies for intraoperative melanoma detection, especially in the near-infrared imaging window with greatly improved imaging contrast and penetration depth.

Establishing guidelines to harmonize tumor mutational burden (TMB): in silico assessment of variation in TMB quantification across diagnostic platforms: phase I of the Friends of Cancer Research TMB Harmonization Project

BACKGROUND

Tumor mutational burden (TMB), defined as the number of somatic mutations per megabase of interrogated genomic sequence, demonstrates predictive biomarker potential for the identification of patients with cancer most likely to respond to immune checkpoint inhibitors. TMB is optimally calculated by whole exome sequencing (WES), but next-generation sequencing targeted panels provide TMB estimates in a time-effective and cost-effective manner. However, differences in panel size and gene coverage, in addition to the underlying bioinformatics pipelines, are known drivers of variability in TMB estimates across laboratories. By directly comparing panel-based TMB estimates from participating laboratories, this study aims to characterize the theoretical variability of panel-based TMB estimates, and provides guidelines on TMB reporting, analytic validation requirements and reference standard alignment in order to maintain consistency of TMB estimation across platforms.

METHODS

Eleven laboratories used WES data from The Cancer Genome Atlas Multi-Center Mutation calling in Multiple Cancers (MC3) samples and calculated TMB from the subset of the exome restricted to the genes covered by their targeted panel using their own bioinformatics pipeline (panel TMB). A reference TMB value was calculated from the entire exome using a uniform bioinformatics pipeline all members agreed on (WES TMB). Linear regression analyses were performed to investigate the relationship between WES and panel TMB for all 32 cancer types combined and separately. Variability in panel TMB values at various WES TMB values was also quantified using 95% prediction limits.

RESULTS

Study results demonstrated that variability within and between panel TMB values increases as the WES TMB values increase. For each panel, prediction limits based on linear regression analyses that modeled panel TMB as a function of WES TMB were calculated and found to approximately capture the intended 95% of observed panel TMB values. Certain cancer types, such as uterine, bladder and colon cancers exhibited greater variability in panel TMB values, compared with lung and head and neck cancers.

CONCLUSIONS

Increasing uptake of TMB as a predictive biomarker in the clinic creates an urgent need to bring stakeholders together to agree on the harmonization of key aspects of panel-based TMB estimation, such as the standardization of TMB reporting, standardization of analytical validation studies and the alignment of panel-based TMB values with a reference standard. These harmonization efforts should improve consistency and reliability of panel TMB estimates and aid in clinical decision-making.

Shikonin induces apoptosis and prosurvival autophagy in human melanoma A375 cells via ROS-mediated ER stress and p38 pathways

Shikonin, a botanical drug extracted from Lithospermum erythrorhizon, exhibits anti-cancer effects in various cancer cell lines. However, the mechanisms underlying these effects have not been completely elucidated yet. Here, we showed that Shikonin induces apoptosis and autophagy in A375 cells and inhibits their proliferation. Shikonin caused G2/M phase arrest through upregulation of p21 and downregulation of cyclin B1. Shikonin significantly triggered ER stress-mediated apoptosis by upregulating the expression of p-eIF2α, CHOP, and cleaved caspase-3. It also induced protective autophagy by activating the p38 pathway, followed by an increase in the levels of p-p38, LC3B-II, and Beclin 1. Upon suppression of autophagy by 3-methyladenine, Shikonin-induced apoptosis was enhanced in A375 cells. Moreover, after pretreatment with N-acetyl-cysteine, Shikonin increased the production of reactive oxygen species that are involved in regulating ER stress-mediated apoptosis and p38-activated autophagy, as evidenced by the reversion of cell viability and apoptosis and a decrease in p-eIF2α, CHOP, p-p38, LC3B-II, and Beclin 1 levels. Thus, we demonstrated that Shikonin induced apoptosis and autophagy in A375 cells via the activation of ROS-mediated ER stress and p38 pathways, indicating that Shikonin can serve as a potential agent for human melanoma therapy.

Vitamin D and its low calcemic analogs modulate the anticancer properties of cisplatin and dacarbazine in the human melanoma A375 cell line

Melanoma represents a significant challenge in cancer treatment due to the high drug resistance of melanomas and the patient mortality rate. This study presents data indicating that nanomolar concentrations of the hormonally active form of vitamin D, 1α,25-dihydroxyvitamin D3 [1α,25(OH)₂D3], its non-calcemic analogues 20S-hydroxyvitamin D3 and 21-hydroxypregnacalciferol, as well as the low-calcemic synthetic analog calcipotriol, modulate the efficacy of the anticancer drugs cisplatin and dacarbazine. It was observed that vitamin D analogs sensitized melanoma A375 cells to hydrogen peroxide used as an inducer of oxidative stress. On the other hand, only 1α,25(OH)₂D3 resulted in a minor, but significant effect on the proliferation of melanoma cells treated simultaneously with dacarbazine, but not cisplatin. Notably, cisplatin (300 µM) exhibited a higher overall antiproliferative activity than dacarbazine. Cisplatin treatment of melanoma cells resulted in an induction of apoptosis as demonstrated by flow cytometry (accumulation of cells at the subG₁ phase of the cell cycle), whereas dacarbazine caused G₁/G₀ cell cycle arrest, with the effects being improved by pre-treatment with vitamin D analogs. Treatment with cisplatin resulted in an initial increase in the level of reactive oxygen species (ROS). Dacarbazine caused transient stimulation of ROS levels and the mitochondrial membrane potential (Δψ_m) (after 1 or 3 h of treatment, respectively), but the effect was not detectable following prolonged (24 h) incubation with the drug. Vitamin D exhibited modulatory effects on the cells treated with dacarbazine, decreasing the half maximal inhibitory concentration (IC₅₀) for the drug, stimulating G₁/G₀ arrest and causing a marked decrease in Δψ_m. Finally, cisplatin, dacarbazine and 1α,25(OH)₂D3 displayed modulatory effects on the expression of ROS and vitamin D-associated genes in the melanoma A375 cells. In conclusion, nanomolar concentrations of 1,25(OH)₂D₃ only had minor effects on the proliferation of melanoma cells treated with dacarbazine, decreasing the relative IC₅₀ value. However, co-treatment with vitamin D analogs resulted in the modulation of cell cycle and ROS responses, and affected gene expression, suggesting possible crosstalk between the signaling pathways of vitamin D and the anticancer drugs used in this study.

Advance of Seriniquinone Analogues as Melanoma Agents

Seriniquinone, a marine natural product, displayed potent cytotoxicity and selectivity against melanoma cancer cells. This selectivity, combined with a novel mode of action (MOA), prompted studies to translate a pharmacologically relevant lead. Herein, we report on structure-activity relationships (SARs), and provide a strategy to prepare analogues that retain activity and offer an improved water solubility and isomeric purity. From intermediates made on a gram-scale, derivatives were prepared and evaluated for their antiproliferation activity and melanoma selectivity. Overall these studies provide methods to install side chain motifs that demonstrate a common, and yet unique, biological profile.

Immunomagnetic isolation of circulating melanoma cells and detection of PD-L1 status

Personalised medicine targeted to specific biomarkers such as BRAF and c-Kit has radically improved the success of melanoma therapy. More recently, further advances have been made using therapies targeting the immune response. In particular, therapies targeting the PD-1/PD-L1 or CTLA-4 axes alone or in combination have shown more sustained responses in 30–60% of patients. However, these therapies are associated with considerable toxicities and useful biomarkers to predict responders and non-responders are slow to emerge. Here we developed a reliable melanoma circulating tumor cell (CTC) detection method with PD-L1 evaluation on CTCs. A set of melanoma cell surface markers was tested as candidates for targeted melanoma CTC isolation and a melanoma specific immunostaining-based CTC identification protocol combined with PD-L1 detection was established. In vitro testing of the effect of exposure to blood cells on melanoma cell PD-L1 expression was undertaken. Immunomagnetic targeting isolated melanoma CTCs in up to 87.5% of stage IV melanoma patient blood samples and 3 8.6% of these had some PD-L1 expressing CTCs. Our in vitro data demonstrate PD-L1 induction on melanoma cells in the blood.This study established a robust, reliable method to isolate melanoma CTCs and detect expression of PD-L1 on these cells.

Patient preferences for treatment of metastatic melanoma

AIM

To investigate patient preferences for clinical attributes of first-line metastatic melanoma treatments.

MATERIALS & METHODS

A discrete-choice experiment and best-worst scaling exercise were used to assess relative preferences for treatment attributes.

RESULTS

The 200 survey respondents had distinct preferences. Avoiding a 30% risk of colitis or hormone gland problems and avoiding severe fever were more important to respondents than avoiding a 20% risk of extreme sun sensitivity (p < 0.05). Patients preferred taking pills to receiving intravenous infusions in a clinic. When attributes were combined, approximately 85% of respondents preferred a risk profile similar to targeted therapy over a profile similar to immunotherapy, holding efficacy constant.

CONCLUSION

Taking patient preferences into account can help patients get the full benefit from metastatic melanoma therapies.

Beyond the message: advantages of snapshot proteomics with single-cell mass cytometry in solid tumors

Single-cell technologies that can quantify features of individual cells within a tumor are critical for treatment strategies aiming to target cancer cells while sparing or activating beneficial cells. Given that key players in protein networks are often the primary targets of precision oncology strategies, it is imperative to transcend the nucleic acid message and read cellular actions in human solid tumors. Here, we review the advantages of multiplex, single-cell mass cytometry in tissue and solid tumor investigations. Mass cytometry can quantitatively probe nearly any cellular feature or target. In discussing the ability of mass cytometry to reveal and characterize a broad spectrum of cell types, identify rare cells, and study functional behavior through protein signaling networks in millions of individual cells from a tumor, this review surveys publications of scientific advances in solid tumor biology made with the aid of mass cytometry. Advances discussed include functional identification of rare tumor and tumor-infiltrating immune cells and dissection of cellular mechanisms of immunotherapy in solid tumors and the periphery. The review concludes by highlighting ways to incorporate single-cell mass cytometry in solid tumor precision oncology efforts and rapidly developing cytometry techniques for quantifying cell location and sequenced nucleic acids.

Pan-tumor genomic biomarkers for PD-1 checkpoint blockade-based immunotherapy

Programmed cell death protein-1 (PD-1) and programmed cell death ligand-1 (PD-L1) checkpoint blockade immunotherapy elicits durable antitumor effects in multiple cancers, yet not all patients respond. We report the evaluation of >300 patient samples across 22 tumor types from four KEYNOTE clinical trials. Tumor mutational burden (TMB) and a T cell-inflamed gene expression profile (GEP) exhibited joint predictive utility in identifying responders and nonresponders to the PD-1 antibody pembrolizumab. TMB and GEP were independently predictive of response and demonstrated low correlation, suggesting that they capture distinct features of neoantigenicity and T cell activation. Analysis of The Cancer Genome Atlas database showed TMB and GEP to have a low correlation, and analysis by joint stratification revealed biomarker-defined patterns of targetable-resistance biology. These biomarkers may have utility in clinical trial design by guiding rational selection of anti-PD-1 monotherapy and combination immunotherapy regimens.

Bornyl cis-4-Hydroxycinnamate Suppresses Cell Metastasis of Melanoma through FAK/PI3K/Akt/mTOR and MAPK Signaling Pathways and Inhibition of the Epithelial-to-Mesenchymal Transition

Bornyl cis-4-hydroxycinnamate, a bioactive compound isolated from Piper betle stems, has the potential for use as an anti-cancer agent. This study investigated the effects of bornyl cis-4-hydroxycinnamate on cell migration and invasion in melanoma cells. Cell migration and invasion were compared in A2058 and A375 melanoma cell lines treated with/without bornyl cis-4-hydroxycinnamate (1–6 µM). To examine whether bornyl cis-4-hydroxycinnamate has a potential anti-metastatic effect on melanoma cells, cell migration and invasion assays were performed using a Boyden chamber assay and a transwell chamber in A2058 and A375 cells. Gelatin zymography was employed to determine the enzyme activities of MMP-2 and MMP-9. Cell lysates were collected for Western blotting analysis of matrix metalloproteinase (MMP)-2, MMP-9 and tissue inhibitors of metalloproteinase-1/2 (TIMP-1/2), as well as key molecules in the mitogen-activated protein kinase (MAPK), focal adhesion kinase (FAK)/ phosphatidylinositide-3 kinases (PI3K)/Akt/ mammalian target of rapamycin (mTOR), growth factor receptor-bound protein 2 (GRB2) signaling pathways. Our results demonstrated that bornyl cis-4-hydroxycinnamate is a potentially useful agent that inhibits melanoma cell migration and invasion, and altered melanoma cell metastasis by reducing MMP-2 and MMP-9 expression through inhibition of the FAK/PI3K/Akt/mTOR, MAPK, and GRB2 signaling pathways. Moreover, bornyl cis-4-hydroxycinnamate inhibited the process of the epithelial-to-mesenchymal transition in A2058 and A375 melanoma cells. These findings suggested that bornyl cis-4-hydroxycinnamate has potential as a chemotherapeutic agent, and warrants further investigation for its use in the management of human melanoma.

Multiplex Gene Profiling of Cell-Free DNA in Patients With Metastatic Melanoma for Monitoring Disease

PURPOSE

Hotspot blood cell-free DNA (cfDNA) biomarker assays have limited utility in profiling tumor heterogeneity and burden and in capturing regional metastasis with low disease burden in patients with melanoma. We investigated the utility of a sensitive 54-cancer gene digital next-generation sequencing approach targeting blood cfDNA single nucleotide variants (SNVs) and copy number amplification for monitoring disease in patients with melanoma with regional or distant organ metastasis (DOM).

PATIENTS AND METHODS

A total of 142 blood samples were evaluated by digital next-generation sequencing across two patient cohorts. Cohort 1 contained 44 patients with stage II, III, or IV disease with matched tumor DNA at the time of surgery or DOM. Cohort 2 consisted of 12 overlapping patients who were longitudinally monitored after complete lymph node dissection to DOM.

RESULTS

In cohort 1, cfDNA SNVs were detected in 75% of patients. Tumor-cfDNA somatic SNV concordance was 85% at a variant allele fraction of ≥ 0.5%. An SNV load (number of unique SNVs detected) of greater than two SNVs and an SNV burden (total cumulative SNV VAF) of > 0.5% were significantly associated with worse overall survival (P < .05) in stage IV patients. In cohort 2, 98 longitudinal blood samples along with matched regional and distant metastases from 12 stage III patients were analyzed before complete lymph node dissection and throughout disease progression. cfDNA SNV levels correlated with tumor burden (P = .019), enabled earlier detection of recurrence compared with radiologic imaging (P < .01), captured tumor heterogeneity, and identified increasing SNVs levels before recurrence.

CONCLUSION

This study demonstrates significant utility for cfDNA profiling in patients with melanoma with regional and/or distant metastasis for earlier detection of recurrence and progression and in capturing tumor evolution and heterogeneity, thus impacting how patients with melanoma are monitored.

Precision Oncology: The Road Ahead

Current efforts in precision oncology largely focus on the benefit of genomics-guided therapy. Yet, advances in sequencing techniques provide an unprecedented view of the complex genetic and nongenetic heterogeneity within individual tumors. Herein, we outline the benefits of integrating genomic and transcriptomic analyses for advanced precision oncology. We summarize relevant computational approaches to detect novel drivers and genetic vulnerabilities, suitable for therapeutic exploration. Clinically relevant platforms to functionally test predicted drugs/drug combinations for individual patients are reviewed. Finally, we highlight the technological advances in single cell analysis of tumor specimens. These may ultimately lead to the development of next-generation cancer drugs, capable of tackling the hurdles imposed by genetic and phenotypic heterogeneity on current anticancer therapies.

Methods of selecting combination therapy for colorectal cancer patients: a patent evaluation of US20160025730A1

INTRODUCTION

Colorectal cancer (CRC) is the fourth most common cancer worldwide. Targeted therapy drugs (TTDs) are a valid treatment, epithelial growth factor receptor (EGFR) inhibitors being one of the most commonly used for CRC patients. However, this treatment is only useful for patients with wild-type KRAS (wtKRAS) and is effective only on about 40 to 60% of this subset due to the high plasticity of ErbB network. Areas covered: The invention proposes the use of ErbB protein levels and ErbB receptor dimer formation as biomarkers for selecting, predicting and monitoring CRC patients showing sensitivity to the action of EGFR inhibitors to benefit from the combination therapy of EGFR and HER2 inhibitors. The in vitro data on Lim1215 cells suggest the over-activation of HER3 signaling pathway in response to the use of EGFR inhibitors on monotherapy; the use of HER2 or HER3 or MEK inhibitors in combination with EGFR inhibitors reversed this activation. Expert opinion: To assess the clinical applicability of this invention, further studies are needed since the conclusions are derived solely based on the data obtained from only one CRC cell line (Lim1215). Furthermore, other biofactors/mutations should be considered to assure the potential benefits of the combination therapies proposed.

Oral mucosal changes induced by anticancer targeted therapies and immune checkpoint inhibitors

Development of biological targeted therapies and immune checkpoint inhibitors has redefined the treatment for many cancers; however, the increasing use of new protocols has led to physicians observing a new spectrum of toxicities. To date, oral adverse events induced by these new anticancer therapies have been mainly reported using nonspecific terminology ("stomatitis," "mucosal inflammation," "mucositis") and remain poorly characterized, with the exception of mammalian target of rapamycin (mTOR) inhibitor-associated stomatitis. Oral toxicities of targeted therapies often display very characteristic features which clearly differ from classic oral injuries observed with cytotoxic chemotherapy and/or radiotherapy. In addition, they frequently affect more than 20% of treated patients and can lead to a significant morbidity or permanent treatment discontinuation. Oral mucosal toxicities described in this review include mTOR inhibitor-associated stomatitis (mIAS); stomatitis, benign migratory glossitis, and osteonecrosis of the jaw associated with multi-targeted kinase inhibitors of the VEGF and PDGF receptors; mucositis induced by EGFR inhibitors (in monotherapy or in combination with head and neck radiotherapy and/or chemotherapy); hyperkeratotic lesions with BRAF inhibitors; pigmentary changes and lichenoid reactions secondary to imatinib; and more recent data on the "Osler-Weber-Rendu-like syndrome" described with the antibody-drug conjugate, TDM-1. Finally, we provide, to our knowledge, the first available structured data on oral toxicities induced by the new recently FDA- and EMA-approved monoclonal antibodies targeting PD-1. Clinical management of these targeted therapy-related oral changes is also discussed.