Skip to main content

SYSTEMATIC REVIEW article

Front. Oncol., 03 June 2021
Sec. Skin Cancer
This article is part of the Research Topic Multidisciplinary Approach to the Diagnosis and Therapy of Skin Neoplasms View all 19 articles

Incidence of Skin Cancer in Patients With Chronic Inflammatory Cutaneous Diseases on Targeted Therapies: A Systematic Review and Meta-Analysis of Observational Studies

Salvatore Crisafulli&#x;Salvatore Crisafulli1†Lucrezia Bertino&#x;Lucrezia Bertino2†Andrea FontanaAndrea Fontana3Fabrizio CalapaiFabrizio Calapai4Ylenia IngrasciottaYlenia Ingrasciotta1Massimiliano BerrettaMassimiliano Berretta5Gianluca TrifirGianluca Trifirò6Claudio Guarneri*Claudio Guarneri1*
  • 1Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
  • 2Department of Clinical and Experimental Medicine, University of Messina, Messina, Italy
  • 3Unit of Biostatistics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
  • 4Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, University of Messina, Messina, Italy
  • 5Department of Clinical and Experimental Medicine, Section of Infectious Diseases, University of Messina, Messina, Italy
  • 6Department of Diagnostics and Public Health, University of Verona, Verona, Italy

Cancer is one of the several comorbidities that have been linked with chronic cutaneous inflammatory diseases namely psoriasis/psoriatic arthritis and hidradenitis suppurativa. Although the chronic inflammatory state, typical of the diseases, may induce pro-tumorigenic effects, the debate whether or not the drugs currently used in clinical practice do in facts increase a patient’s risk of malignancy remains largely unsolved. The therapeutic armamentarium has been greatly enhanced at least in the last two decades with the advent of biologics, a heterogeneous group of laboratory-engineered agents with more in the pipeline, and other targeted small molecules. Among the organ systems, skin results as one of the most commonly affected, non-melanoma skin cancers being the main drug-induced manifestations as side effect in course of these treatments. The objective of the study is to systematically review the cutaneous malignancy risk of the newer therapies through an overview of meta-analyses and observational studies on the topic.

Introduction

Psoriasis, psoriatic arthritis and hidradenitis suppurativa are three common inflammatory and immune-mediated skin diseases characterized by increased levels of pro-inflammatory cytokines and chemokines such as tumor necrosis factor (TNF)-α, interleukin (IL)-17 and IL-23 (17). Chemical inflammatory mediators involved in the pathogenesis of these diseases may increase the risk of malignancies through the induction of pro-cancerous mutations, adaptive responses, resistance to apoptosis and environmental changes such as the stimulation of angiogenesis (8, 9). A number of observational studies suggested that patients affected by these diseases are at increased risk of developing cancer (1013). In particular, increased rates of cancer, especially keratinocyte skin cancer and lymphomas were reported in patients with psoriasis or psoriatic arthritis (14). A significantly increased risk of overall cancer was observed also among patients affected by hidradenitis suppurativa in a recently published population-based cohort study (15).

The recent marketing of systemic biological (i.e. the TNF-α inhibitors etanercept, infliximab and adalimumab, the anti-IL-12/23 ustekinumab, the IL-17/IL-17 receptor antagonists secukinumab, ixekizumab and brodalumab and the anti-IL-23 agents tildrakizumab, guselkumab and risankizumab) and chemically synthetized drugs (e.g. apremilast and tofacitinib) as targeted therapies has improved the management of these diseases (1618). However, since these drugs target molecules that may be relevant to cancer immunosurveillance mechanisms, some concerns were raised about their association with an increased risk of cancer occurrence (1923). A recent meta-analysis of randomized clinical trials (RCTs) and open-label extension (OLE) studies reported that TNF inhibitors are associated with an increased risk of non-melanoma skin cancers (NMSC) in people with psoriasis. However, the authors of this study found that no real-world evidence was available and acknowledged the significant limitations associated with the study design of the articles included, that make it difficult to extrapolate to real-world practice (24). Evidence on the risk of skin cancer in patients with chronic inflammatory cutaneous diseases on targeted therapies is still sparse controversial. Therefore, the aim of this systematic review and meta-analysis was to assess the risk of cutaneous malignancies in patients with psoriasis, psoriatic arthritis or hidradenitis suppurativa treated with targeted therapies.

Methods

Search Strategy and Study Selection Criteria

This systematic review and meta-analysis was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, following an a priori-established protocol registered on the International Prospective Register of Systematic Reviews (PROSPERO: CRD42020212137). The completed PRISMA checklist is provided in Supplementary Figure 1. Two authors (SC, FC) independently searched the bibliographic databases PubMed and EMBASE for literature related to the risk of skin cancer in patients affected by inflammatory cutaneous diseases and treated with targeted therapies. Literature was searched from databases inception until 15th September 2020. The search strategy concerned terms related to inflammatory cutaneous diseases (i.e. psoriasis, psoriatic arthritis and hidradenitis suppurativa), skin cancers (e.g. squamous cell carcinoma, basal cell carcinoma and melanoma) and targeted therapies (i.e. etanercept, infliximab, adalimumab, ustekinumab, secukinumab, ixekizumab, brodalumab, tildrakizumab, guselkumab, risankizumab, apremilast and tofacitinib). Citations, titles and abstracts were exported into Endnote X9. The detailed literature search strategy for different databases is provided in Supplementary Table 1. Original observational studies were included if they (a) included patients affected by psoriasis, psoriatic arthritis or hidradenitis suppurativa; (b) clearly reported a well-defined measure of skin malignancies incidence; (c) included patients treated with biological drugs and/or the small molecules, apremilast and tofacitinib; (d) were written in English. To reduce the risk of publication bias, conference abstracts were also eligible for inclusion. Narrative or systematic reviews, meta-analyses, book chapters, editorials and pooled analyses were not included, but the reference lists in reviews and meta-analyses were screened to potentially identify further studies to include.

After duplicate studies were removed, two authors (SC and FC) individually reviewed titles and abstracts to remove clearly irrelevant articles and, subsequently, full text of the articles that both reviewers considered potentially eligible. Any inconsistencies were resolved at this stage through discussion or the intervention of a third independent assessor (GT or CG).

Data Extraction

For eligible studies, information on the following items was independently collected by the same two authors and stratified by skin cancer type: study authors, year of publication, catchment area, data source, study population, study years, study design and risk estimate. Any disagreements were resolved by consensus with a third author (GT or CG).

Assessment of Risk of Bias and Overall Quality of the Evidence

The risk of bias of the observational studies included in this systematic review was independently assessed by two authors (SC and FC) using the Newcastle-Ottawa quality assessment scale (25). This instrument consists of eight different domains for cohort studies (representativeness of the exposed cohort, selection of the non-exposed cohort, ascertainment of exposure, demonstration that outcome of interest was not present at start of study, comparability of cohorts on the basis of the design or analysis, assessment of outcome, follow-up long enough for outcomes to occur, adequacy of follow up) and case-control studies (adequate case definition, representativeness of the cases, selection of controls, definition of controls, comparability of cases and controls on the basis of the design or analysis, ascertainment of exposure, same method of ascertainment for cases and controls, non-response rate). The included studies were categorized as “low risk of bias” if at least six of the eight domains were judged to be at low risk of bias.

Statistical Analysis

For each included study, skin cancer incidence rates (IR) per 10,000 person-years (PY) were considered as the primary outcome for the meta-analysis. Meta-analysis of IRs was performed assuming that the logarithm of each study-specific rate was normally distributed and the corresponding standard error, used to perform the inverse-variance weighting, was computed from the 95% CI (or p-value) reported in the original IRs. Between-study heterogeneity of the estimates was assessed using the Cochran’s Q-test (26) along with its derived measure of inconsistency (I2), and was considered to be present when Cochran’s Q-test p-value was < 0.10 or I2 > 40% (27). Estimates were summarized by fixed-effects or random-effects models, according to the absence or the presence of heterogeneity, respectively. It is generally accepted that when there are fewer than ten studies in a meta-analysis, both meta-regression (27) and test for publication bias (28) should not be considered. Both the study specific as well as the pooled epidemiological estimates, were graphically depicted, with their 95% CI, on a forest plot. Analyses were stratified for specific skin cancer types, i.e. NMSCs and melanoma. If a study presented more than one estimate, the most recent one was used. Two-sided p-values<0.05 were considered for statistical significance. All calculations were carried out using R Foundation for Statistical Computing (version 4.0, package: metafor).

Results

Characteristics of the Studies Included

The original electronic search yielded 1762 (1549 after removing duplicates) papers potentially relevant for this review (Figure 1). After removing duplicates, 1549 were initially screened. Of these, 1467 were excluded after the screening of study titles and abstracts. The remaining 82 studies were retrieved for more detailed evaluation and 10 of them met the review inclusion criteria. The main characteristics of the included studies are reported in Table 1. Most of the included studies were prospective cohort studies (N= 5; 50.0%) (3336, 38), three (30.0%) (29, 31, 32) were retrospective cohort studies, one was a nested case-control study (10.0%) (37) and one was a study comparing clinical trials data and real-world data (10.0%) (30).

FIGURE 1
www.frontiersin.org

Figure 1 PRISMA flow-chart showing the process of literature search and study selection.

TABLE 1
www.frontiersin.org

Table 1 Characteristics of the studies included in the systematic review.

All included studies focused on the incidence of skin malignancies in patients treated with TNF-α inhibitors, three of them included also patients treated with ustekinumab (29, 35, 36) and only one study reported NMSC IRs also for apremilast and tofacitinib (30). No observational studies assessing the incidence of skin cancer in patients with inflammatory cutaneous diseases and treated with secukinumab, ixekizumab, brodalumab, tildrakizumab or risankizumab were found. All the included studies used real-world data sources, such as drug or disease registries and claims databases.

Of the 10 studies included in this systematic review, 7 provided data suitable for meta-analysis.

Risk of Bias in Individual Studies

Figure 2 summarizes the risk of bias assessment of individual studies. The overall risk of bias was rated as low for 7 (29, 30, 3234, 35, 38) of the 10 included studies, while 3 (31, 36, 37) studies proved to have an unclear risk of bias. Limitations mainly concerned the assessment of the presence or absence of prognostic factors and the adequacy of follow-up.

FIGURE 2
www.frontiersin.org

Figure 2 Risk of bias assessment through the Newcastle-Ottawa Scale presented as percentages across all included cohort studies (A) and case–control studies (B).

Targeted Therapies and Skin Cancer Incidence Rates

IRs of NMSC and melanoma reported in the articles included in this systematic review are summarized in Figure 3.

FIGURE 3
www.frontiersin.org

Figure 3 Forest plot of the estimated skin cancer incidence per 10,000 person-years along with 95% confidence intervals, stratified by skin cancer type. RE, Random-Effects model; FE, Fixed Effect model.

Overall, the IR of NMSC in the included studies ranged from 38 (95% CI: 12-90) (35) to 262 (95% CI: 220-310) (34) cases per 10,000 PYs. The pooled IR for the overall risk of NMSC was 124.5 (95% CI 83.4 – 185.8) per 10,000 PYs. A considerable heterogeneity was found among these studies (Cochrane’s Q = 173.0; I2 = 96.5%).

A comparison of the incidence ratio for the overall risk of NMSC in patients exposed to biologics and small molecules versus non-biologic drugs users could be obtained only in two studies (29, 36). In one case (36), the hazard ratio (HR) was 1.42 (95% CI:1.12-1.80), while in the other one the Incidence Rate Ratio (IRR) was 0.74 (95% CI:0.60-0.91) (29).

The IR of melanoma in the included studies ranged from 5 (95% CI: 3-10) (38) to 8 (95% CI: 0-43) (35) cases per 10,000 PYs. The pooled IR for the overall risk of melanoma was 6.1 (95% CI 3.9 – 9.6) per 10,000 PYs. No heterogeneity among studies reporting melanoma IRs was found (Cochrane’s Q= 1.0; I2 = 0.0%). The only study reporting an HR for melanoma between users of biologic drugs and small molecules versus non-biologic users (36) showed no statistically significant difference (HR:1.57, 95% CI: 0.61-4.09).

It was not possible to investigate both the source of heterogeneity and the presence of publication bias, as fewer than ten studies were included in the meta-analysis (28).

Discussion

In recent years, we have witnessed a revolution in the treatment of many skin diseases, ranging from bullous diseases, urticaria, atopic dermatitis, to hidradenitis suppurativa and psoriasis (39). In particular, psoriasis is a chronic cutaneous inflammatory disease affecting an estimated 125 million people worldwide, that is often associated with systemic manifestations such as major adverse cardiovascular event, obesity, inflammatory bowel disease and arthropathic psoriasis (40, 41). The decision to use one therapy over another is significantly influenced by these comorbidities and the severity of the disease. Moreover, a better understanding of the pathogenesis of this systemic disease had led to identification of new therapeutic targets (42). Whereas the older treatment options, such as phototherapy, methotrexate and cyclosporine A, are still effective, biotechnological drugs are substantially improving the therapeutic arsenal. The success of these new therapies lies in their great selectivity of action which allows to obtain, in most cases, a significant therapeutic efficacy in a short time with a reduction in side effects compared to traditional therapies. Through these therapies, even the severest symptoms of psoriasis and psoriatic arthritis can be excellently treated (43, 44). The biological drugs produced so far are monoclonal antibodies and fusion proteins. These products have the enormous advantage of being able to selectively interfere, at various levels and with different modes of action, in the immunological processes that trigger and sustain psoriasis (45). To date they are divided into five classes: TNF-α inhibitors, IL-12/23 inhibitors, IL-17 inhibitors, IL-23 inhibitors and phosphodiesterase type 4 (PDE4) inhibitors (40).

According with the above-mentioned results, our review found no observational studies assessing the incidence of skin cancer in patients with inflammatory cutaneous diseases and treated with biologics targeting selectively IL-17 or IL-23, thus obtaining mainly data on patients under anti-TNF-α therapy and, to a more limited degree, under ustekinumab, apremilast and tofacitinib.

TNF-α inhibitors infliximab, etanercept, adalimumab and certolizumab pegol are the oldest class of currently approved biotechnological drugs for the treatment of both psoriasis and psoriatic arthritis and, limited to adalimumab, of hidradenitis suppurativa. TNF-α exerts several effects. It could promote the progression of cancer (46), but also blocking TNF-α could result in arresting antitumor immune response and in promoting the growth of immunogenic tumors (4749).

Some of the studies analyzed in this systematic review also included patients receiving ustekinumab, apremilast and tofacitinib (29, 30, 35, 36). Ustekinumab belongs to the class of biologics targeting the IL-12/23 pathway, whereas apremilast is an anti-PDE4 small molecule and tofacitinib a janus kinase inhibitor. The inhibition of these pathways causes a downregulation of the inflammatory response by modulating the expression of TNF-α, IL-23, IL-17 and other inflammatory cytokines, all involved at least in part in the tumorigenesis.

Consequently, whereas these drugs have shown dramatically excellent efficacy, concerns have been raised about the risks related to this class of agents.

Undoubtedly, patients with psoriasis are at an increased risk of cancer. Assessing the baseline risk of cutaneous malignancies in psoriasis patients is challenging due to most studies including both treated and untreated patients, and due to confounding factors like phototherapy and immunosuppressive therapy (50). Moreover NMSC and melanoma are known to arise with increased incidence among patients that have undergone medical radiation procedures or immunosuppressive therapy (5153), such as those immunosuppressed in an iatrogenic way after a solid organ transplantation (5456). According to the World Health Organization, age standardized world incidence of melanoma and NMSC are respectively 3,4 and 11 per 100.000 PYs. On the other hand, recent data emerging from literature show that skin cancers have a higher incidence in psoriasis patients than general population with a standardized incidence ratio of 3.37 (95% CI 1.84-5.66) (57). More in detail, Pouplard et al. in a meta-analysis reported a standardized incidence ratio of 5.3 for squamous cell carcinoma (SCC) (95% CI 2.63–10.71) and of 2.00 for basal cell carcinoma (BCC) (95% CI 1.83–2.20), whereas the authors reported a similar risk of melanoma in psoriatic patients compared to the general populations.

When considering the risk of skin cancer in psoriatic patients under treatment, many aspects should be analyzed: predisposing factors, duration and timing of exposure, the cumulative dose, the interaction with other carcinogens and, also, the latency. Despite all these data to be considered, enough evidence confirmed the relation between skin cancer and specific treatment for psoriasis and it has emerged that the risk increases even more respect untreated patients (58).

In particular, oral psoralen and ultraviolet A (PUVA) is associated with an increased risk for skin cancer in a dose dependent fashion: risk of NMSC is greatest with >350 treatments, while melanoma risk is increased with >250 treatments (59, 60). However, the carcinogenic mechanism of PUVA has not been elucidated: it maybe acts in a mutagenic and immunologic way (61). Instead, even if UVB phototherapy may increase photoaging acting with multiple mechanisms (inhibition of DNA synthesis, epidermal keratinocyte hyperproliferation, induction of T-cell apoptosis and of anti-inflammatory cytokines), no increase in skin cancer has been observed, especially with <100 treatments. Only when patients have been treated previously with PUVA and, in a second time, with broadband UVB (>300 treatments), it has been noted a modest increase in SCC (incidence rate ratio 1.37, 95% CI 1.03–1.83) and BCC (incidence rate ratio 1.45, 95% CI 1.07–1.96) (62).

Also systemic non biologic therapies are associated with an increased risk of skin cancers (63), acting primarily as immunosuppressants. Treatment with methotrexate results in higher risk for NMSC, but no association with risk for melanoma was observed (64). In detail, it has been shown that patients in treatment with methotrexate seem to have a doubled risk of SCC compared with people who receive PUVA therapy (65). Cyclosporine is associated with an elevated risk of SCC, which could increase even more in relation to treatment duration (>2 years) and previous therapy (PUVA) (66, 67), as already seen in transplant patients treated with high doses of cyclosporine and for long periods (6870).

In our systematic review, we also considered studies evaluating the risk of skin cancers in patients with hidradenitis suppurativa in treatment with adalimumab, the only approved biologic agent for moderate-to-severe hidradenitis (71, 72). No articles were found that met the inclusion criteria. Nevertheless, data from literature point to a higher risk of developing NMSC in patients with hidradenitis than general population (15). Compared with psoriatic patients who underwent biologic treatment, patients with hidradenitis start treatment with TNF-α inhibitors after fewer months/years from the diagnosis of the disease and the guidelines do not provide obligatory treatment with first line systemic immunosuppressive drug, such as cyclosporine or methotrexate, before approaching the biologic therapy.

Considering all together the studies included in the metanalysis, the IR emerging from our systematic review shows an incidence of skin cancer in biologic treated patients, 124.5 per 10000 PYs for NMSC and 6.1 per 10000 PYs for melanoma. With regard to NMSC, IRs in literature presented large variability, from 24 in a psoriatic cohort of a German registry to 262 coming from a USA surveillance registry on patients treated with etanercept. The IR has been established on 8 out of 10 studies (Table 1). Concerning melanoma, 3 out of 6 studies reported an IR, ranging from 5 to 8 (Table 1). As a comparison, these IRs are significantly lower than post-transplant skin cancer IR, that is 1355 per 100.000 PYs for SCC and 125 per 100.000 PYs for melanoma (73).

Our figures substantially agree with those reported in a recent systematic review and metanalysis by Vaengebjerg et al. (14) who reviewed 112 observational studies and more than 2 million persons, thus assessing them for prevalence, incidence and overall risk of cancer in patients with psoriasis and psoriatic arthritis. The reported IR per 1000 PY for overall cancer was 11.75 (95% CI, 8.66-15.31) and 4.35 (95% CI, 3.18-5.70) for keratinocyte cancer, whereas the IR for melanoma was 0.37 per 1000 PYs.

A study by Esse and collaborators was focused on melanoma risk in patients treated with biologics for common inflammatory diseases, such as inflammatory bowel diseases, rheumatoid arthritis and psoriasis (68). In detail, they considered a total of 7 studies, consisting of patients treated with TNF-α inhibitors, one of which regarding patients with psoriasis and, moreover, included in our review (74). According with their findings, the risk of melanoma in biologic-treated patients with IBD and psoriasis compared with their biologic-naïve counterparts receiving conventional systemic therapy showed no statistically significant increases. Esse et al. included in their paper only one study (36) concerning psoriatic patients; this study is currently the only one reporting an HR for melanoma in patients treated with TNF-α inhibitors compared with non-biologic users and shows no significant difference between the two groups.

With regard to NMSC, the paper by Asgari (36) explicitly reported an HR for the same comparison. Our review considered an additional study in which we were able to calculate IRR from the reported data (29). While Asgari et al. (36) reported an increased HR for NMSC in patients treated with TNF-α inhibitors compared with non-biologic users, data coming from the other study (29) showed no statistically significant differences.

The main strengths of our analysis included the use of a well-defined protocol with strict inclusion and exclusion criteria. Complying with the protocol, our search addressed a clearly focused question with standardized data extraction and quality assessment to minimize errors. In addition, the real-world setting of the studies, the inclusion of biologic agents and of patients treated exclusively for common cutaneous inflammatory diseases represent distinctive features of our review and metanalysis.

The main limitation was the small number of eligible studies. The studies were also heterogeneous, which makes comparison difficult. In addition, a major weakness of the analysis was the absence of adjustment for established risk factors for NMSC and melanoma.

Furthermore, in previous studies performed only on patients with PSO it was found that there were no univocal data on the higher or lower incidence of tumors in patients with PSO. In particular, they were studies that analyzed both patients treated with systemic drugs and patients treated with biological drugs (50, 75). In our systematic review and meta-analysis, we considered only patients treated with target therapies suffering from psoriasis, PSA and/or HS.

In common with previous studies, on the other hand, there is the fact that the risk of skin tumors itself cannot be excluded because patients had to undergo immunosuppressive therapy (systemic or not) before being able to carry out treatment with a target therapy.

Another limit that emerges from our systematic review, in common with other articles already present in the literature, is the follow-up time. As demonstrated by many studies, the development and growth times of skin tumors are long and may exceed the observation periods of the clinical trials in the literature.

Summary and Perspectives

Although with some limitations, the metanalysis of currently available real-world data seems to suggest that treatment of psoriasis, psoriatic arthritis and/or hidradenitis suppurativa with TNF-α inhibitors, ustekinumab, apremilast or tofacitinib does not increase the risk of NMSC or melanoma compared to “non-biologic” systemic treatments. The cumulative sample size of the studies in literature is certainly conspicuous, but, in the light of the worldwide diffusion and frequency of the aforementioned diseases as well as their multifactorial nature and response to treatment, including undesired effects, further data are desirable.

Additionally, the ending years of the periods analyzed in the available studies range from 2009 to 2015. Similar evaluations of real-world evidence concerning molecules marketed in the last 10-15 years, such as secukinumab, ixekizumab, brodalumab, tildrakizumab or risankizumab, would be of great interest, particularly when considering that these molecules are widely used in current clinical practice. Consequently, to conduct future trials it is necessary to consider the above data and the fact that the number of studies comparing newer molecules and conventional drugs are small. A greater number of new trials will have to be conducted, considering longer follow-up times and, above all, common methods will have to be applied to allow a comparison between the various studies.

In summary, this updated systematic review and meta-analysis seems to suggest that no differences exist between treatment of chronic cutaneous diseases with biotechnological drugs/small molecules and conventional DMARDs in terms of HR/IRR for melanoma, while data on NMSC are more controversial. Nevertheless, periodic dermatologic screening should be ensured for all patients undergoing these therapies.

Data Availability Statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Author Contributions

Conceptualization: CG and SC. Methodology: SC, FC, GT, LB, and CG. Validation: SC, LB, and CG. Resources: SC, AF, FC, GT, YI, LB, MB, and CG. Data curation: SC, AF, FC, YI, GT, MB, and CG. Writing-original draft preparation: SC, LB, and CG. Writing-review and editing: SC, LB, and CG. Supervision: SC, LB, and CG. All authors contributed to the article and approved the submitted version.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We are grateful to Prof. Matthias Augustin, Dr. Christina Sorbe and all the PsoBest Registry team for providing the data of their study (35).

Supplementary Material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2021.687432/full#supplementary-material

References

1. Van Der Zee HH, De Ruiter L, Van Den Broecke DG, Dik WA, Laman JD, Prens EP. Elevated Levels of Tumour Necrosis Factor (TNF)-α, Interleukin (IL)-1β and IL-10 in Hidradenitis Suppurativa Skin: A Rationale for Targeting TNF-α and IL-1β. Br J Dermatol (2011) 164:1292–8. doi: 10.1111/j.1365-2133.2011.10254.x

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Kelly G, Hughes R, McGarry T, Van Den Born M, Adamzik K, Fitzgerald R, et al. Dysregulated Cytokine Expression in Lesional and Nonlesional Skin in Hidradenitis Suppurativa. Br J Dermatol (2015) 173:1431–9. doi: 10.1111/bjd.14075

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Menon B, Gullick NJ, Walter GJ, Rajasekhar M, Garrood T, Evans HG, et al. Interleukin-17+CD8+ T Cells Are Enriched in the Joints of Patients With Psoriatic Arthritis and Correlate With Disease Activity and Joint Damage Progression. Arthritis Rheumatol (2014) 66:1272–81. doi: 10.1002/art.38376

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Nickoloff BJ, Qin JZ, Nestle FO. Immunopathogenesis of Psoriasis. Clin Rev Allergy Immunol (2007) 33:45–56. doi: 10.1007/s12016-007-0039-2

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Sabat R, Philipp S, Höflich C, Kreutzer S, Wallace E, Asadullah K, et al. Immunopathogenesis of Psoriasis. Exp Dermatol (2007) 16:779–98. doi: 10.1111/j.1600-0625.2007.00629.x

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Gisondi P, Talamonti M, Chiricozzi A, Piaserico S, Amerio P, Balato A, et al. Treat-to-Target Approach for the Management of Patients With Moderate-to-Severe Plaque Psoriasis: Consensus Recommendations. Dermatol Ther (Heidelb) (2021) 11:235–52. doi: 10.1007/s13555-020-00475-8

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Ceccarelli M, Venanzi Rullo E, Vaccaro M, Facciolà A, d’Aleo F, Paolucci IA, et al. HIV-Associated Psoriasis: Epidemiology, Pathogenesis, and Management. Dermatol Ther (2019) 32(2):e12806. doi: 10.1111/dth.12806

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Shacter E, Weitzman SA. Chronic Inflammation and Cancer. Oncology (Williston Park) (2002) 16(2):217–26. doi: 10.1201/b12696-15

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Tchernev G, Guarneri C, Bevelacqua V, Wollina U. Carcinoma Cuniculatum in Course of Etanercept: Blocking Autoimmunity But Propagation of Carcinogenesis? Int J Immunopathol Pharmacol (2014) 27:261–6. doi: 10.1177/039463201402700213

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Lapins J, Ye W, Nyrén O, Emtestam L. Incidence of Cancer Among Patients With Hidradenitis Suppurativa. Arch Dermatol (2001) 137:730–4. doi: 10-1001/pubs.ArchDermatol.-ISSN-0003-987x-137-6-dst00132

PubMed Abstract | Google Scholar

11. Rastogi S, Patel KR, Singam V, Ali Y, Gao J, Amin A, et al. Vulvar Cancer Association With Groin Hidradenitis Suppurativa: A Large, Urban, Midwestern US Patient Population Study. J Am Acad Dermatol (2019) 80:808–10. doi: 10.1016/j.jaad.2018.10.008

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Lee JH, Kim HJ, Han KD, Kim HN, Park YM, Lee JY, et al. Cancer Risk in 892 089 Patients With Psoriasis in Korea: A Nationwide Population-Based Cohort Study. J Dermatol (2019) 46:95–102. doi: 10.1111/1346-8138.14698

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Malaponte G, Signorelli SS, Bevelacqua V, Polesel J, Taborelli M, Guarneri C, et al. Increased Levels of NF-κb-Dependent Markers in Cancer-Associated Deep Venous Thrombosis. PloS One (2015) 10(7):e0132496. doi: 10.1371/journal.pone.0132496

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Vaengebjerg S, Skov L, Egeberg A, Loft ND. Prevalence, Incidence, and Risk of Cancer in Patients With Psoriasis and Psoriatic Arthritis: A Systematic Review and Meta-Analysis. JAMA Dermatol (2020) 156:421–9. doi: 10.1001/jamadermatol.2020.0024

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Jung JM, Lee KH, Kim YJ, Chang SE, Lee MW, Choi JH, et al. Assessment of Overall and Specific Cancer Risks in Patients With Hidradenitis Suppurativa. JAMA Dermatol (2020) 156:844–53. doi: 10.1001/jamadermatol.2020.1422

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Di Lernia V, Neri I, Pintoton PC, Di Nuzzo S, Stingeni L, Guarneri C, et al. T Reatment Patterns With Systemic Antipsoriatic Agents in Childhood Psoriasis: An Italian Database Analysis. G Ital di Dermatologia e Venereol (2017) 152:327–32. doi: 10.23736/S0392-0488.16.05287-X

CrossRef Full Text | Google Scholar

17. Marcianò I, Randazzo MP, Panagia P, Intelisano R, Sgroi C, Ientile V, et al. Real-World Use of Biological Drugs in Patients With Psoriasis/Psoriatic Arthritis: A Retrospective, Population-Based Study of Years 2010-2014 From Southern Italy. G Ital Dermatol Venereol (2020) 155:441–51. doi: 10.23736/S0392-0488.18.05753-X

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Skarmoutsou E, Bevelacqua V, D’Amico F, Russo A, Spandidos DA, Scalisi A, et al. FOXP3 Expression is Modulated by TGF-β1/NOTCH1 Pathway in Human Melanoma. Int J Mol Med (2018) 42:392–404. doi: 10.3892/ijmm.2018.3618

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Bilal J, Berlinberg A, Bin RI, Faridi W, Bhattacharjee S, Ortega G, et al. Risk of Infections and Cancer in Patients With Rheumatologic Diseases Receiving Interleukin Inhibitors: A Systematic Review and Meta-Analysis. JAMA Netw Open (2019) 2:e1913102. doi: 10.1001/jamanetworkopen.2019.13102

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Khazaei Z, Ghorat F, Jarrahi AM, Adineh HA, Sohrabivafa M, Goodarzi E. Global Incidence and Mortality of Skin Cancer by Histological Subtype and its Relationship With the Human Development Index (HDI); an Ecology Study in 2018. WCRJ (2019) 6:e1265. doi: 10.32113/wcrj_20194_1265

CrossRef Full Text | Google Scholar

21. Askling J, Fahrbach K, Nordstrom B, Ross S, Schmid CH, Symmons D. Cancer Risk With Tumor Necrosis Factor Alpha (TNF) Inhibitors: Meta-analysis of Randomized Controlled Trials of Adalimumab, Etanercept, and Infliximab Using Patient Level Data. Pharmacoepidemiol Drug Saf (2011) 20:119–30. doi: 10.1002/pds.2046

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Mariette X, Matucci-Cerinic M, Pavelka K, Taylor P, Van Vollenhoven R, Heatley R, et al. Malignancies Associated With Tumour Necrosis Factor Inhibitors in Registries and Prospective Observational Studies: A Systematic Review and Meta-Analysis. Ann Rheum Dis (2011) 70:1895–904. doi: 10.1136/ard.2010.149419

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Moran GW, Lim AWK, Bailey JL, Dubeau MF, Leung Y, Devlin SM, et al. Review Article: Dermatological Complications of Immunosuppressive and Anti-TNF Therapy in Inflammatory Bowel Disease. Aliment Pharmacol Ther (2013) 38:1002–24. doi: 10.1111/apt.12491

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Peleva E, Exton LS, Kelley K, Kleyn CE, Mason KJ, Smith CH. Risk of Cancer in Patients With Psoriasis on Biological Therapies: A Systematic Review. Br J Dermatol (2018) 178:103–13. doi: 10.1111/bjd.15830

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Sidwell K. Lucian A Selection. Ed. and Trm.D. Macleod. Warminster: Aris and Phillips, 1991. Pp. Iv + 316. £35.00 (Bound), £12.50 (Paper). J Hell Stud (1993) 113:198–9. doi: 10.2307/632432

CrossRef Full Text | Google Scholar

26. Higgins JPT, Thompson SG, Deeks JJ, Altman DG. Measuring Inconsistency in Meta-Analyses. Br Med J (2003) 327:557–60. doi: 10.1136/bmj.327.7414.557

CrossRef Full Text | Google Scholar

27. Higgins J, Green S. Cochrane Handbook for Systematic Reviews of Interventions, version 5.1. Cochrane Collab (2011).

Google Scholar

28. Sterne JAC, Sutton AJ, Ioannidis JPA, Terrin N, Jones DR, Lau J, et al. Recommendations for Examining and Interpreting Funnel Plot Asymmetry in Meta-Analyses of Randomised Controlled Trials. BMJ (2011) 343:d4002. doi: 10.1136/bmj.d4002

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Asgari MM, Ray GT, Geier JL, Quesenberry CP. Malignancy Rates in a Large Cohort of Patients With Systemically Treated Psoriasis in a Managed Care Population. J Am Acad Dermatol (2017) 76:632–8. doi: 10.1016/j.jaad.2016.10.006

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Burmester GR, Curtis JR, Yun H, FitzGerald O, Winthrop KL, Azevedo VF, et al. An Integrated Analysis of the Safety of Tofacitinib in Psoriatic Arthritis Across Phase III and Long-Term Extension Studies With Comparison to Real-World Observational Data. Drug Saf (2020) 43:379–92. doi: 10.1007/s40264-020-00904-9

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Fagerli KM, Kearsley-Fleet L, Mercer LK, Watson K, Packham J, Symmons DPM, et al. Malignancy and Mortality Rates in Patients With Severe Psoriatic Arthritis Requiring Tumour-Necrosis Factor Alpha Inhibition: Results From the British Society for Rheumatology Biologics Register. Rheumatol (United Kingdom) (2019) 58:80–5. doi: 10.1093/rheumatology/key241

CrossRef Full Text | Google Scholar

32. Kimball AB, Schenfeld J, Accortt NA, Anthony MS, Rothman KJ, Pariser D. Cohort Study of Malignancies and Hospitalized Infectious Events in Treated and Untreated Patients With Psoriasis and a General Population in the United States. Br J Dermatol (2015) 173:1183–90. doi: 10.1111/bjd.14068

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Menter A, Thaçi D, Wu JJ, Abramovits W, Kerdel F, Arikan D, et al. Long-Term Safety and Effectiveness of Adalimumab for Moderate to Severe Psoriasis: Results From 7-Year Interim Analysis of the ESPRIT Registry. Dermatol Ther (Heidelb) (2017) 7:365–81. doi: 10.1007/s13555-017-0198-x

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Papp KA, Bourcier M, Poulin Y, Lynde CW, Gilbert M, Poulin-Costello M, et al. Observe-5: Comparison of Etanercept-Treated Psoriasis Patients From Canada and the United States. J Cutan Med Surg (2018) 22:297–303. doi: 10.1177/1203475418755998

PubMed Abstract | CrossRef Full Text | Google Scholar

35. Reich K, Mrowietz U, Radtke MA, Thaci D, Rustenbach SJ, Spehr C, et al. Drug Safety of Systemic Treatments for Psoriasis: Results From The German Psoriasis Registry Psobest. Arch Dermatol Res (2015) 307:875–83. doi: 10.1007/s00403-015-1593-8

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Van Lümig PPM, Driessen RJB, Berends MAM, Boezeman JBM, Van De Kerkhof PCM, De Jong EMGJ. Safety of Treatment With Biologics for Psoriasis in Daily Practice: 5-Year Data. J Eur Acad Dermatol Venereol (2012) 26:283–91. doi: 10.1111/j.1468-3083.2011.04044.x

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Fiorentino D, Ho V, Lebwohl MG, Leite L, Hopkins L, Galindo C, et al. Risk of Malignancy With Systemic Psoriasis Treatment in the Psoriasis Longitudinal Assessment Registry. J Am Acad Dermatol (2017) 77:845–54. doi: 10.1016/j.jaad.2017.07.013

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Menter A, Thaçi D, Papp KA, Wu JJ, Bereswill M, Teixeira HD, et al. Five-Year Analysis From the ESPRIT 10-Year Postmarketing Surveillance Registry of Adalimumab Treatment for Moderate to Severe Psoriasis A Portion of the Data in This Manuscript Was Presented in at the Fall European Academy of Dermatology and Venereology 2. J Am Acad Dermatol (2015) 73:410–9. doi: 10.1016/j.jaad.2015.06.038

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Yiqiu Y, Ravn Jørgensen AH, Thomsen SF. Biologics for Chronic Inflammatory Skin Diseases: An Update for the Clinician. J Dermatolog Treat (2020) 31:108–30. doi: 10.1080/09546634.2019.1589643

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Armstrong AW, Read C. Pathophysiology, Clinical Presentation, and Treatment of Psoriasis: A Review. JAMA - J Am Med Assoc (2020) 323:1945–60. doi: 10.1001/jama.2020.4006

CrossRef Full Text | Google Scholar

41. Dattilo G, Borgia F, Guarneri C, Casale M, Bitto R, Morabito C, et al. Cardiovascular Risk in Psoriasis: Current State of the Art. Curr Vasc Pharmacol (2017) 17:85–91. doi: 10.2174/1570161115666171116163816

CrossRef Full Text | Google Scholar

42. Kaushik SB, Lebwohl MG. Psoriasis: Which Therapy for Which Patient: Psoriasis Comorbidities and Preferred Systemic Agents. J Am Acad Dermatol (2019) 80:27–40. doi: 10.1016/j.jaad.2018.06.057

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Kamata M, Tada Y. Efficacy and Safety of Biologics for Psoriasis and Psoriatic Arthritis and Their Impact on Comorbidities: A Literature Review. Int J Mol Sci (2020) 21:1690. doi: 10.3390/ijms21051690

CrossRef Full Text | Google Scholar

44. Ceccarelli M, Venanzi Rullo E, Berretta M, Cacopardo B, Pellicanò GF, Nunnari G, et al. New Generation Biologics for the Treatment of Psoriasis and Psoriatic Arthritis. State of the Art and Considerations About the Risk of Infection. Dermatol Ther (2021) 34(1):e14660. doi: 10.1111/dth.14660

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Di Lernia V, Guarneri C, Stingeni L, Gisondi P, Bonamonte D, Calzavara Pinton PG, et al. Effectiveness of Etanercept in Children With Plaque Psoriasis in Real Practice: A One-Year Multicenter Retrospective Study. J Dermatolog Treat (2018) 29:217–9. doi: 10.1080/09546634.2017.1364692

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Balkwill F. Tnf-α in Promotion and Progression of Cancer. Cancer Metastasis Rev (2006) 25:409–16. doi: 10.1007/s10555-006-9005-3

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Larmonier N, Cathelin D, Larmonier C, Nicolas A, Merino D, Janikashvili N, et al. The Inhibition of TNF-α Anti-Tumoral Properties by Blocking Antibodies Promotes Tumor Growth in a Rat Model. Exp Cell Res (2007) 313:2345–55. doi: 10.1016/j.yexcr.2007.03.027

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Facciolà A, Venanzi Rullo E, Ceccarelli M, D’Andrea F, Coco M, Micali C, et al. Malignant Melanoma in HIV: Epidemiology, Pathogenesis, and Management. Dermatol Ther (2020) 33(1):e13180. doi: 10.1111/dth.13180

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Berretta M, Martellotta F, Francia RD, Spina M, Vaccher E, Balestreri L, et al. Clinical Presentation and Outcome of Non-AIDS Defining Cancers, in HIV-Infected Patients in the ART-Era: The Italian Cooperative Group on AIDS and Tumors Activity. Eur Rev Med Pharmacol Sci (2015) 19:3619–34.

PubMed Abstract | Google Scholar

50. Geller S, Xu H, Lebwohl M, Nardone B, Lacouture ME, Kheterpal M. Malignancy Risk and Recurrence With Psoriasis and Its Treatments: A Concise Update. Am J Clin Dermatol (2018) 19:363–75. doi: 10.1007/s40257-017-0337-2

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Berge LAM, Andreassen BK, Stenehjem JS, Heir T, Karlstad Ø, Juzeniene A, et al. Use of Immunomodulating Drugs and Risk of Cutaneous Melanoma: A Nationwide Nested Case-Control Study. Clin Epidemiol (2020) 12:1389–401. doi: 10.2147/CLEP.S269446

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Maiorino A, De Simone C, Perino F, Caldarola G, Peris K. Melanoma and non-Melanoma Skin Cancer in Psoriatic Patients Treated With High-Dose Phototherapy. J Dermatolog Treat (2016) 27:443–7. doi: 10.3109/09546634.2015.1133882

PubMed Abstract | CrossRef Full Text | Google Scholar

53. IAS S. Beneficial Role of Vitamin D in Common Cancers: Is the Evidence Compelling Enough? WCRJ (2020) 7:e1574. doi: 10.32113/wcrj_20205_1574

CrossRef Full Text | Google Scholar

54. Collins L, Asfour L, Stephany M, Lear JT, Stasko T. Management of Non-Melanoma Skin Cancer in Transplant Recipients. Clin Oncol (2019) 31:779–88. doi: 10.1016/j.clon.2019.08.005

CrossRef Full Text | Google Scholar

55. Guarneri C, Bevelacqua V, Polesel J, Falzone L, Cannavo PS, Spandidos DA, et al. Nf-κb Inhibition Is Associated With OPN/MMP-9 Downregulation in Cutaneous Melanoma. Oncol Rep (2017) 37:737–46. doi: 10.3892/or.2017.5362

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Goodarzi E, Khazaei Z, Moayed L, Adineh HA, Sohrabivafa M, Darvishi I. Dsl. Epidemiology and Population Attributable Fraction of Melanoma to Ultraviolet Radiation in Asia: An Ecological Study. Wcrj (2018) 5:1–8. doi: 10.32113/wcrj_20189_1114

CrossRef Full Text | Google Scholar

57. Polachek A, Muntyanu A, Lee KA, Ye JY, Chandran V, Cook RJ, et al. Malignancy in Psoriatic Disease: Results From Prospective Longitudinal Cohorts. Semin Arthritis Rheum (2021) 51:144–9. doi: 10.1016/j.semarthrit.2020.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Naldi L. Malignancy Concerns With Psoriasis Treatments Using Phototherapy, Methotrexate, Cyclosporin, and Biologics: Facts and Controversies. Clin Dermatol (2010) 28:88–92. doi: 10.1016/j.clindermatol.2009.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Stern RS. The Risk of Squamous Cell and Basal Cell Cancer Associated With Psoralen and Ultraviolet A Therapy: A 30-Year Prospective Study. J Am Acad Dermatol (2012) 66:553–62. doi: 10.1016/j.jaad.2011.04.004

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Stern RS, Nichols KT, Väkevä LH. Malignant Melanoma in Patients Treated for Psoriasis With Methoxsalen (Psoralen) and Ultraviolet A Radiation (PUVA). N Engl J Med (1997) 336:1041–5. doi: 10.1056/nejm199704103361501

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Morison WL, Baughman RD, Day RM, Forbes PD, Hoenigsmann H, Krueger GG, et al. Consensus Workshop on the Toxic Effects of Long-Term PUVA Therapy. Arch Dermatol (1998) 134:595–8. doi: 10.1001/archderm.134.5.595

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Lee E, Koo J, Berger T. UVB Phototherapy and Skin Cancer Risk: A Review of the Literature. Int J Dermatol (2005) 44:355–60. doi: 10.1111/j.1365-4632.2004.02186.x

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Balak DMW, Gerdes S, Parodi A, Salgado-Boquete L. Long-Term Safety of Oral Systemic Therapies for Psoriasis: A Comprehensive Review of the Literature. Dermatol Ther (Heidelb) (2020) 10:589–613. doi: 10.1007/s13555-020-00409-4

PubMed Abstract | CrossRef Full Text | Google Scholar

64. Polesie S, Gillstedt M, Paoli J, Osmancevic A. Methotrexate Treatment for Patients With Psoriasis and Risk of Cutaneous Melanoma: A Nested Case–Control Study. Br J Dermatol (2020) 183:684–91. doi: 10.1111/bjd.18887

PubMed Abstract | CrossRef Full Text | Google Scholar

65. Stern RS, Laird N. The Carcinogenic Risk of Treatments for Severe Psoriasis. Cancer (1994) 73:2759–64. doi: 10.1002/1097-0142(19940601)73:11<2759::AID-CNCR2820731118>3.0.CO;2-C

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Paul CF, Ho VC, McGeown C, Christophers E, Schmidtmann B, Guillaume JC, et al. Risk of Malignancies in Psoriasis Patients Treated With Cyclosporine: A 5 Y Cohort Study. J Invest Dermatol (2003) 120:211–6. doi: 10.1046/j.1523-1747.2003.12040.x

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Di Lernia V, Stingeni L, Boccaletti V, Calzavara Pinton PG, Guarneri C, Belloni Fortina A, et al. Effectiveness and Safety of Cyclosporine in Pediatric Plaque Psoriasis: A Multicentric Retrospective Analysis. J Dermatolog Treat (2016) 27:395–8. doi: 10.3109/09546634.2015.1120852

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Zafar SY, Howell DN, Gockerman JP. Malignancy After Solid Organ Transplantation: An Overview. Oncologist (2008) 13:769–78. doi: 10.1634/theoncologist.2007-0251

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Malaponte G, Hafsi S, Polesel J, Castellano G, Spessotto P, Guarneri C, et al. Tumor Microenvironment in Diffuse Large B-Cell Lymphoma: Matrixmetalloproteinases Activation is Mediated by Osteopontin Overexpression. Biochim Biophys Acta - Mol Cell Res (2016) 1863:483–9. doi: 10.1016/j.bbamcr.2015.09.018

CrossRef Full Text | Google Scholar

70. D`Aniello C, Perri F, Scarpati GDV, Pepa CD, Pisconti S, Montesarchio V, et al. Melanoma Adjuvant Treatment: Current Insight and Clinical Features. Curr Cancer Drug Targets (2017) 18:442–56. doi: 10.2174/1568009617666170208163714

CrossRef Full Text | Google Scholar

71. Flood KS, Porter ML, Kimball AB. Biologic Treatment for Hidradenitis Suppurativa. Am J Clin Dermatol (2019) 20:625–38. doi: 10.1007/s40257-019-00439-5

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Giuffrida R, Cannavò SP, Coppola M, Guarneri C. Novel Therapeutic Approaches and Targets for the Treatment of Hidradenitis Suppurativa. Curr Pharm Biotechnol (2020) 22:59–72. doi: 10.2174/1389201021666200505100556

CrossRef Full Text | Google Scholar

73. Garrett GL, Blanc PD, Boscardin J, Lloyd AA, Ahmed RL, Anthony T, et al. Incidence of and Risk Factors for Skin Cancer in Organ Transplant Recipients in the United States. JAMA Dermatol (2017) 153:296–303. doi: 10.1001/jamadermatol.2016.4920

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Esse S, Mason KJ, Green AC, Warren RB. Melanoma Risk in Patients Treated With Biologic Therapy for Common Inflammatory Diseases: A Systematic Review and Meta-Analysis. JAMA Dermatol (2020) 156:787–94. doi: 10.1001/jamadermatol.2020.1300

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Reddy SP, Martires K, Wu JJ. The Risk of Melanoma and Hematologic Cancers in Patients With Psoriasis. J Am Acad Dermatol (2017) 76:639–647.e2. doi: 10.1016/j.jaad.2016.09.047

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: skin cancer, non-melanoma skin cancer, melanoma, biologics, psoriasis

Citation: Crisafulli S, Bertino L, Fontana A, Calapai F, Ingrasciotta Y, Berretta M, Trifirò G and Guarneri C (2021) Incidence of Skin Cancer in Patients With Chronic Inflammatory Cutaneous Diseases on Targeted Therapies: A Systematic Review and Meta-Analysis of Observational Studies. Front. Oncol. 11:687432. doi: 10.3389/fonc.2021.687432

Received: 29 March 2021; Accepted: 12 May 2021;
Published: 03 June 2021.

Edited by:

Gabriella Brancaccio, University of Campania Luigi Vanvitelli, Italy

Reviewed by:

Anfernee Kai Wing Tse, Caritas Institute of Higher Education, China
Robert Laird Judson-Torres, The University of Utah, United States

Copyright © 2021 Crisafulli, Bertino, Fontana, Calapai, Ingrasciotta, Berretta, Trifirò and Guarneri. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Claudio Guarneri, claudio.guarneri@unime.it

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.