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ORIGINAL RESEARCH article

Front. Oncol., 17 October 2022
Sec. Skin Cancer
This article is part of the Research Topic Non-Cutaneous Melanoma: New Therapeutic Insights View all 9 articles

Neoadjuvant checkpoint inhibitor immunotherapy for resectable mucosal melanoma

Joel Ho*Joel Ho1*Jane MatteiJane Mattei2Michael TetzlaffMichael Tetzlaff3Michelle D. WilliamsMichelle D. Williams4Michael A. DaviesMichael A. Davies1Adi DiabAdi Diab1Isabella C. Glitza OlivaIsabella C. Glitza Oliva1Jennifer McQuadeJennifer McQuade1Sapna P. PatelSapna P. Patel1Hussein TawbiHussein Tawbi1Michael K. WongMichael K. Wong1Sarah B. FisherSarah B. Fisher5Ehab HannaEhab Hanna6Emily Z. KeungEmily Z. Keung5Merrick RossMerrick Ross5Roi WeiserRoi Weiser5Shirley Y. SuShirley Y. Su6Michael FrumovitzMichael Frumovitz7Larissa A. MeyerLarissa A. Meyer7Amir JazaeriAmir Jazaeri7Curtis A. PettawayCurtis A. Pettaway8B. Ashleigh GuadagnoloB. Ashleigh Guadagnolo9Andrew J. BishopAndrew J. Bishop9Devarati MitraDevarati Mitra9Ahsan FarooqiAhsan Farooqi9Roland Bassett&#x;Roland Bassett10†Silvana Faria&#x;Silvana Faria11†Priyadharsini Nagarajan&#x;Priyadharsini Nagarajan4†Rodabe N. Amaria&#x;Rodabe N. Amaria1†
  • 1Department of Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  • 2Oncology Department, Hospital Moinhos de Vento, Porto Alegre, Brazil
  • 3Division of Dermatopathology, University of California San Francisco (UCSF), San Francisco, CA, United States
  • 4Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  • 5Department of Surgical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  • 6Department of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  • 7Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  • 8Department of Urologic Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  • 9Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  • 10Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
  • 11Department of Abdominal Imaging, Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX, United States

Background: Neoadjuvant checkpoint inhibition (CPI) has recently demonstrated impressive outcomes in patients with stage 3 cutaneous melanoma. However, the safety, efficacy, and outcome of neoadjuvant CPI in patients with mucosal melanoma (MM) are not well studied as MM is a rare melanoma subtype. CPI such as combination nivolumab and ipilimumab achieves response rates of 37-43% in unresectable or metastatic MM but there is limited data regarding the efficacy of these agents in the preoperative setting. We hypothesize that neoadjuvant CPI is a safe and feasible approach for patients with resectable MM.

Method: Under an institutionally approved protocol, we identified adult MM patients with resectable disease who received neoadjuvant anti-PD1 +/- anti-CTLA4 between 2015 to 2019 at our institution. Clinical information include age, gender, presence of nodal involvement or satellitosis, functional status, pre-treatment LDH, tumor mutation status, and treatment data was collected. Outcomes include event free survival (EFS), overall survival (OS), objective response rate (ORR), pathologic response rate (PRR), and grade ≥3 toxicities.

Results: We identified 36 patients. Median age was 62; 58% were female. Seventy-eight percent of patients received anti-PD1 + anti-CTLA4. Node positive disease or satellite lesions was present at the time of treatment initiation in 47% of patients. Primary sites of disease were anorectal (53%), urogenital (25%), head and neck (17%), and esophageal (6%). A minority of patients did not undergo surgery due to complete response (n=3, 8%) and disease progression (n=6, 17%), respectively. With a median follow up of 37.9 months, the median EFS was 9.2 months with 3-year EFS rate of 29%. Median OS had not been reached and 3-year OS rate was 55%. ORR was 47% and PRR was 35%. EFS was significantly higher for patients with objective response and for patients with pathologic response. OS was significantly higher for patients with pathologic response. Grade 3 toxicities were reported in 39% of patients.

Conclusion: Neoadjuvant CPI for resectable MM is a feasible approach with signs of efficacy and an acceptable safety profile. As there is currently no standard approach for resectable MM, this study supports further investigations using neoadjuvant therapy for these patients.

Introduction

Mucosal melanoma (MM) is an aggressive form of melanoma that arises from melanocytes present on the mucosal lining of the respiratory, gastrointestinal and urogenital systems (1). MM differs from cutaneous melanoma because of its more aggressive biological behavior, lower tumor mutation burden, and a unique driver mutation profile (2, 3). This rare patient population is often excluded from melanoma clinical trials and there is limited prospective data to guide management of disease in both resectable and unresectable settings.

The 5-year overall survival rate for MM is about 25% with a significantly poorer survival compared to other subtypes of melanoma (4). This may be related to a more advanced disease at diagnosis and the challenges of achieving definitive local control at presentation due to anatomic constraints. Wide local excision of the MM with negative margins is associated with a better prognosis. However, given its high rates of local failure and development of distant metastasis, relapse-free survival is generally short (5, 6). Achieving a R0 surgical resection is especially challenging because of the multifocal pattern of growth, the complexities of the anatomical sites, and the higher proportions of patients who present with locally advanced disease and require extensive and potentially disfiguring surgeries (6, 7). Postoperative radiation therapy improves the rates of local control, but there is no evidence that it improves overall survival in MM patients (8). The magnitude of benefit of adjuvant systemic therapy is uncertain in MM and the utility of routine lymph node sampling and completion lymph node dissection is being investigated (912).

Neoadjuvant therapy is a very promising therapeutic approach in patients with clinical stage III cutaneous melanoma. Neoadjuvant immunotherapy possesses the advantage of immunological priming with the tumor cells in situ and earlier initiation of systemic therapy in these patients may be beneficial in delaying or preventing distant spread of disease (13). Neoadjuvant therapy may also potentially facilitate resection of disease by tumor downstaging before surgery. However, there are few studies investigating the role of neoadjuvant therapy in MM. A recent published neoadjuvant phase II trial with 21 MM patients who received neoadjuvant toripalimab/axitinib followed by adjuvant toripalimab reported a pathological response rate of 30% with a median recurrence-free survival (RFS) of 55.7 weeks (14).

As the neoadjuvant approach is not well studied in MM, we conducted this retrospective cohort study evaluating the clinical and pathologic responses and outcomes after neoadjuvant immunotherapy in patients with resectable MM.

Materials and methods

Patients treated for MM between January 2015 to December 2019 were identified from our single-center institutional database at MD Anderson Cancer Center, Houston, Texas. We then extracted patients with resectable MM treated with neoadjuvant checkpoint inhibitors (Anti-CTLA4 and/or Anti-PD1). Clinical information including gender (male or female), age, LDH (above or below upper limit of normal), ECOG (Eastern Cooperative Oncology Group) performance status, primary tumor localization (head and neck, anorectal, urogenital and esophageal), nodal involvement and satellitosis were obtained. Additionally, the following pathologic features of the primary tumor were recorded: ulceration (present or absent); Breslow depth (tumor thickness); and mutation status (BRAF, cKIT, NRAS mutated or wild type).

Clinical outcomes assessed were overall survival (OS) defined as time from start of treatment date to date of death and event-free survival (EFS) defined as time from start of treatment date to date of first progression. Different starting times were used for different analyses. For analyses by treatment, the start date was the date of treatment. For analyses by objective response, the start date was the date of the assessment of objective response at 42 days after the start of treatment. For analyses by pathologic response, the start date was the date of surgery. For patients without surgery, the start date was assumed to be the same as the date of objective response assessment. For EFS, the event was the earlier of disease progression or death, and patients who remained alive without disease progression were censored at the last follow-up date. The same starting times were used for OS.

Objective response rate (ORR) was evaluated by a radiologist per RECIST 1.1 (15), and pathologic response rate (PRR) was evaluated by a pathologist according to the International Neoadjuvant Melanoma Consortium (INMC) criteria: pathologic complete response defined as absence of residual viable tumor and pathologic partial response defined as ≤ 50% of viable tumor cells (16). Clinical outcomes were assessed for all patients including patients who did not undergo surgery due to progression or complete response. The Kaplan-Meier method was used to estimate the distribution of OS and EFS and distributions were compared using the log-rank test. All statistical analyses were performed using R version 4.1.1. All statistical tests used a two-sided significance level of 5%. Treatment toxicities were categorized in Toxicities per Common Terminology Criteria for Adverse Events (CTCAE) version 5.

Results

Thirty-six patients were identified in the database with resectable MM treated with neoadjuvant checkpoint inhibitors. Baseline characteristics of patients are described in Table 1. The median age of patients was 62 and 58% were female. Seventeen (47%) patients had nodal involvement or clinically or pathologically detected satellitosis. The most common primary site was anorectal (53%) followed by urogenital (25%), head and neck (17%), and esophageal (6%). Mutation analysis was not accessible for 3 patients. KIT mutation (30%) was the most common, followed by NRAS (12%) and BRAF (6%) mutations.

TABLE 1
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Table 1 Baseline characteristics of patients with mucosal melanoma treated with neoadjuvant checkpoint inhibitors.

Treatment data was summarized in Table 2 and Supplemental Table 1. All patients received neoadjuvant checkpoint inhibitors. Twenty-eight (78%) patients received combination anti-PD1 and anti-CTLA4. Anti-PD1 and anti-CTLA4 monotherapy was used in 7 (19%) and 1 (3%) patients, respectively. Seventeen (47%) patients received adjuvant systemic therapy. Sixteen (44%) and 1 (3%) patients received adjuvant Anti-PD1 and biochemotherapy, respectively (Supplemental Table 2). Nine (25%) patients received adjuvant radiation. Median time from last dose of neoadjuvant systemic therapy to surgery was 31 days.

TABLE 2
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Table 2 Neoadjuvant and adjuvant treatment received by patients with mucosal melanoma treated with neoadjuvant checkpoint inhibitors.

Twenty-seven (75%) of patients underwent surgery (Supplemental Table 3). Six patients (17%) had disease progression to unresectable disease prior to surgery. Five of these patients had combination Anti-PD1 and Anti-CTLA4 and 1 patient had Anti-CTLA4 only. Three patients (8%) had a complete objective response prior to surgery and did not undergo surgery; all remain disease-free at 35.5, 43.7, and 73.8 months following initiation of neoadjuvant systemic therapy. With a median follow-up of 37.9 months, the median EFS was 9.2 months and the 2-year and 3-year EFS were 36% and 29%. The 2-year OS was 64% and 3-year OS 55%; median OS had not been reached (Table 3). The ORR was 47% with 23% of patients having a complete response and 23% having a partial response (Table 4). PRR was 35%, with 26% of patients having pathologic complete or near complete response (Table 5).

TABLE 3
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Table 3 Event free survival (EFS), and overall survival (OS) of patients with mucosal melanoma treated with neoadjuvant checkpoint inhibitors.

TABLE 4
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Table 4 Objective response rate (ORR) of patients with mucosal melanoma treated with neoadjuvant checkpoint inhibitors.

TABLE 5
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Table 5 Pathologic response rate (PRR) of patients with mucosal melanoma treated with neoadjuvant checkpoint inhibitors.

Figure 1 summarizes OS and EFS by objective response. For OS, objective response was associated with improvement (HR=0.31, 95% CI: (0.078, 1.25), p=0.085). Estimates of OS at 3 years were 74% for patients with a complete or partial response and 51% for patients with no objective response. For EFS, the association with objective response was statistically significant (HR=0.24, 95% CI: (0.085, 0.69), p=0.005). Year 3 estimates of EFS were 52% for patients with a complete or partial response and 10% for patients with no objective response.

FIGURE 1
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Figure 1 Overall survival and event free survival stratified based on objective response per RECIST v1.1. CR, complete response, PR, partial response, SD, stable disease, PD, progressive disease.

Figure 2 summarizes OS and EFS by pathologic response. Pathologic response was associated with a significant improvement in OS (HR=0.23, 95% CI: (0.048, 1.07), p=0.042). Estimates of OS at 3 years were 80% for patients with a complete, major, or partial pathologic response and 40% for patients with no pathologic response. For EFS, the association with pathologic response was also statistically significant (HR=0.20, 95% CI: (0.058, 0.71), p=0.006). Year 3 estimates of EFS were 60% for patients with a complete, major, or partial pathologic response and 18% for patients with no response.

FIGURE 2
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Figure 2 Overall survival and event free survival stratified based on pathologic response per INMC criteria. pCR, pathologic complete response; pPR, pathologic partial response.

OS (p=0.10) and EFS (p=0.24) were higher for patients who received combination anti-PD1 and anti-CTLA4 compared to anti-PD1 or anti-CTLA4 monotherapy, but the difference was not significant (Supplemental Figure 1). There was no significant difference in OS (p=0.50) or EFS (p=0.35) between patients with localized disease only and with regional nodal or satellites disease (Figure 3). There was no significant difference in OS (p=0.60) or EFS (p=0.97) between patients age ≥ 65 or age < 65 (Figure 4). OS stratified by objective response and pathologic response were described in Figures 5 and 6 and demonstrated improved OS for patients with an objective or pathologic response.

FIGURE 3
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Figure 3 Overall survival and event free survival stratified based on regional nodal or satellite involvement and localized disease only.

FIGURE 4
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Figure 4 Overall survival and event free survival stratified based on age at diagnosis.

FIGURE 5
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Figure 5 Swimmer plot of patients with resectable mucosal melanoma treated with neoadjuvant checkpoint inhibitors with pathologic response (blue), no pathologic response (red), and unknown pathologic response (orange). pCR, pathologic complete response, pPR, pathologic partial response.

FIGURE 6
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Figure 6 Swimmer plot of patients with resectable mucosal melanoma treated with neoadjuvant checkpoint inhibitors with objective response (blue), no objective response (red), and unknown objective response (orange). CR, complete response, PR, partial response, SD, stable disease, PD, progressive disease.

Fourteen (39%) patients had grade 3 or above toxicities (Table 6). The most common were transaminitis (14%), colitis (11%) and hypophysitis (11%). Among the 14 patients with grade 3 or above toxicities, 13 patients had combination Anti-PD1 and Anti-CTLA4 and 1 patient had Anti-PD1. Among the 6 patients who progressed to unresectable prior to surgery, only 1 patient had grade 3 or above toxicities.

TABLE 6
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Table 6 Toxicities per common terminology criteria for adverse events version 5.0 of patients with mucosal melanoma treated with neoadjuvant checkpoint inhibitors.

Discussion

There is currently no standard of care for neoadjuvant or adjuvant systemic therapy for resectable MM. Patients treated with surgery alone for resectable MM have poor prognosis. RFS and OS with surgery alone have been reported to be around 5 and 21 months, respectively (11). Unlike cutaneous melanoma, MM does not have a standardized staging system such as that available for cutaneous melanoma by the American Joint Committee on Cancer 8th edition to allow oncologists to understand prognosis and further risk stratify patients for adjuvant systemic treatments (17). MM patients have often been excluded or under-represented in landmark clinical trials that have led to FDA approval for adjuvant systemic therapies in cutaneous melanoma. For example, CHECKMATE 238 included 29 (3%) patients with MM and the subgroup analysis did not show better outcome with either adjuvant nivolumab or ipilimumab (18). KEYNOTE 054 excluded MM patients entirely (19). In a single center randomized phase II study, adjuvant chemotherapy with temozolomide and cisplatin improved OS and RFS compared to high dose interferon or surgery alone (11). However, adjuvant chemotherapy has not been the standard of care in practice as there is minimal evidence for efficacy in the metastatic setting (20). As adjuvant checkpoint inhibitors have shown benefits in resectable cutaneous melanoma, we believe that it is important to understand the outcome of patients with resectable MM who are treated with checkpoint inhibitors (18, 19). To our knowledge, this study is the first study to report the outcomes of MM patients who underwent treatment with neoadjuvant checkpoint inhibitors alone, showing a median EFS of 9.2 months and a median OS that had not been reached at a median follow up time of 37.9 months.

There is limited prospective data in metastatic MM patients treated with checkpoint inhibition, but based on a pooled analysis of MM subgroup across different clinical trials including CHECKMATE-067, we know MM has a lower response rate than cutaneous melanoma. While cutaneous melanoma patients have response rate of 58% and 44% to combination anti-PD1 and anti-CTLA4 or anti-PD1 monotherapy, respectively, MM patients have response rates of 37-43% and 30% to combination anti-PD1 and anti-CTLA4 and anti-PD1 monotherapy, respectively (21). MM patients in CHECKMATE-067 treated with combination anti-PD1 and anti-CTLA4 were found to have higher 5-year progression-free survival (PFS) and OS at 29 and 36% respectively, compared to patients treated with anti-PD1 monotherapy with 5-year PFS and OS of 14 and 17%, respectively (22). However, the role of combination immunotherapy in MM is controversial as a recent study suggests addition of anti-CTLA4 to anti-PD1 may not derive meaningful benefit for patients with MM in the metastatic setting (23). The retrospective cohort study of 545 patients with MM treated with anti-PD1 +/- anti-CTLA4 showed no significant difference in ORR, PFS or OS between patients treated with combination anti-PD1 and anti-CTLA4 and patients treated with Anti-PD1 alone. Nonetheless, as MM is seemingly less responsive to immunotherapy than cutaneous melanoma, patients with resectable MM may need addition of anti-CTLA4 to anti-PD1 to derive clinical benefit. Although no significant difference is observed in OS and EFS between patients who received neoadjuvant combination checkpoint inhibitors and single agent checkpoint inhibitor, this study is limited by low proportion (22%) of patients treated with anti-PD1 monotherapy and generally small sample size. Although not statistically significant, the median OS and median EFS are not reached vs. 8 months, and 15 months vs. 8 months respectively for patients who received neoadjuvant combination anti-CTLA4 and anti-PD1 compared to single agent anti-PD1/anti-CTLA4.

Use of neoadjuvant checkpoint inhibition can potentially downstage the tumor to facilitate resectability, improve the rate of R0 surgery and reduce the extent, and therefore, potential morbidity of surgery. Surgical resection remains the mainstay of treatment for resectable MM but surgical comorbidities are often more significant due to anatomical locations of disease (24). For example, abdominoperineal resection had been considered the surgical standard for anorectal MM. However, less invasive approaches such as wide local excision had shown to have similar survival outcomes compared to abdominoperineal resection (25, 26). By downstaging the tumor, neoadjuvant checkpoint inhibition may allow patients to receive less invasive surgery or eliminate the need for surgery. Three (8%) patients in this retrospective study did not undergo surgery due to complete response and the EFS and OS for these patients had not been reached. One of these three patients did pass away, but it was unrelated to melanoma.

Pathologic complete response had been used as a surrogate endpoint for different cancer types and led to approval of neoadjuvant treatment such as pertuzumab in HER2 positive breast cancer by the FDA (United States Food and Drug Administration) (27). Pooled analysis of cutaneous melanoma patients treated with neoadjuvant checkpoint inhibitors showed excellent outcomes for patients who had a complete or near complete pathologic response (28). Many hypotheses are currently being tested to investigate how pathologic responses translate to better clinical outcomes. Some of those hypotheses include exposure of immunotherapy-activated T cells to more neoantigens and early treatment of microscopic disease (29). In our retrospective review, we see that patients who had pathologic response had significantly improved OS and EFS. Patients who do not have a pathologic response to neoadjuvant checkpoint inhibitors have poor outcomes. By having an objective assessment of response to and tolerance of neoadjuvant checkpoint inhibitors, oncologists can help patients with suboptimal neoadjuvant treatment response make informed decisions for adjuvant therapy.

This study has limitations as a retrospective study. It is subjected to the effects of confounders and systemic errors such as information bias from missing data. Additionally, the small sample size is limiting; however, this is reflective of the rare nature of this malignancy. There is currently no standard of care for neoadjuvant or adjuvant systemic therapy for patients with resectable MM and the findings in this manuscript fulfills an unmet need in MM patient care.

In conclusion, this study is the first to characterize outcomes of resectable MM patients treated with neoadjuvant checkpoint inhibitors alone. In view of historic OS of less than 2 years with surgery alone, this study provides an update on the outcomes of resectable MM patients treated with a contemporary treatment paradigm and demonstrates a signal of efficacy for the use of neoadjuvant checkpoint inhibitors. This study supports further investigations using neoadjuvant immunotherapy.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation, in compliance of institutional standard of MD Anderson Cancer Center, Houston, Texas as the data is stored in a secure server at MD Anderson Cancer Center, Houston, Texas.

Ethics statement

Ethical review and approval was not required for the study on human participants in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.

Author contributions

JH, JM, RA contributed to conception and design of the study. RB, SFa, PN, and RA contributed monitoring and guidance as senior authors. RB performed the statistical analysis. SFa performed objective response assessment. PN performed pathologic response assessment. JH wrote the first draft of the manuscript except for the introduction. JM wrote the first draft of introduction. MT, MDW, AD, IG, JMc, SP, HT, MKW, SFi, EH, EK, MR, RW, SS, MF, LM, AJ, CP, AG, AB, DM, AF, SFa, PN contributed to clinical care of patients reviewed in this study. All authors contributed to manuscript revision, read, and approved in the submitted version. All authors contributed to the article and approved the submitted version.

Conflict of interest

JH and RW were employed by MD Anderson Cancer Center. MDW, MAD, AD, IG, JMc, SP, HT, MKW, SFi, EH, EK, MR, SS, MF, LAM, AJ, CP, AG, AB, DM, AF, RB, SFa, PN and RA are employed by MD Anderson Cancer Center. MT is employed by University of California San Francisco. JM is employed by Hospital Moinhos de Vento. MAD is supported by the Dr. Miriam and Sheldon G. Adelson Medical Research Foundation, the AIM at Melanoma Foundation, the NIH/NCI 1 P50 CA221703-02, the American Cancer Society and the Melanoma Research Alliance, Cancer Fighters of Houston, the Anne and John Mendelsohn Chair for Cancer Research, and philanthropic contributions to the Melanoma Moon Shots Program of MD Anderson. MAD has been a consultant to Roche/Genentech, Array, Pfizer, Novartis, BMS, GSK, Sanofi-Aventis, Vaccinex, Apexigen, Eisai, Iovance, and ABM Therapeutics, and he has been the PI of research grants to MD Anderson by Roche/Genentech, GSK, Sanofi-Aventis, Merck, Myriad, Oncothyreon, ABM Therapeutics, and LEAD Pharma. MAD receives institutional clinical trial support outside the submitted work from Pfizer. LAM receives research funding from AstraZeneca for unrelated research. PN receives grant from Melanoma Research Alliance (# 570806). MW is a consultant and serves on scientific advisory board for Bayer. MF is a consultant for Stryker and Seagen and receives research funding from AkesoBio and GSK. SP reports: Institutional clinical trial support outside the submitted work from Bristol Myers Squibb, Foghorn Therapeutics, Ideaya, InxMed, Lyvgen, Novartis, Provectus Biopharmaceuticals, Seagen, Syntrix Bio, TriSalus Life Sciences and advisory board, steering committee, data safety monitoring board, and consulting fees outside the submitted work from: Advance Knowledge in Healthcare, Cardinal Health, Castle Biosciences, Delcath, Immunocore, Novartis, TriSalus Life Sciences, Bristol Myers Squibb. The handling editor RC declared a past co-authorship with the author SP. AJ has stock options from Avenge Bio and Green Fire Bio. He reports advisory fees from Macrogenics, GLG, Guidepoint, NuProbe, AvengeBio, Green Fire Bio, GI Innovation, Theolytics, Two XAR. He reports clinical trial funding to Institution from BMS, Merck, AstraZeneca, Iovance, Immatics, Aravive, Alaunos, Xencor, Avenge Bio, and Macrogenics. CP is a consultant for UptoDate Penile Cancer Series, Wolters Kluwer Publisher. IG receives research funding from BMS, MERCK, and Pfizer and serves in consulting roles or advisory board in BMS, Novartis, LEAL Therapeutics. RA receives research support from Novartis, Merck, Bristol-Myers Squibb, Iovance and Obsidian; consultancy for Novartis, Bristol-Myers Squibb and Iovance.

The remaining 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.

Publisher’s note

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fonc.2022.1001150/full#supplementary-material

References

1. Mihajlovic M, Vlajkovic S, Jovanovic P, Stefanovic V. Primary mucosal melanomas: a comprehensive review. Int J Clin Exp Pathol (2012) 5(8):739–53.

PubMed Abstract | Google Scholar

2. Zhang S, Zhang J, Guo J, Si L, Bai X. Evolving treatment approaches to mucosal melanoma. Curr Oncol Rep (2022) 24(10):1261–71.

PubMed Abstract | Google Scholar

3. Yde SS, Sjoegren P, Heje M, Stolle LB. Mucosal melanoma: A literature review. Curr Oncol Rep (2018) 20(3):28. doi: 10.1007/s11912-018-0675-0

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Chang AE, Karnell LH, Menck HR. The national cancer data base report on cutaneous and noncutaneous melanoma. Cancer (1998) 83(8):1664–78.

PubMed Abstract | Google Scholar

5. Tyrrell H, Payne M. Combatting mucosal melanoma: recent advances and future perspectives. Melanoma Manage (2018) 5(3):MMT11.

Google Scholar

6. Carvajal RD, Spencer SA, Lydiatt W. Mucosal melanoma: A clinically and biologically unique disease entity. J Natl Compr Cancer Netw (2012) 10(3):345–56. doi: 10.6004/jnccn.2012.0034

CrossRef Full Text | Google Scholar

7. Nilsson PJ, Ragnarsson-Olding BK. Importance of clear resection margins in anorectal malignant melanoma. Br J Surg (2010) 97(1):98–103.

PubMed Abstract | Google Scholar

8. Owens JM, Roberts DB, Myers JN. The role of postoperative adjuvant radiation therapy in the treatment of mucosal melanomas of the head and neck region. Arch Otolaryngology–Head Neck Surg (2003) 129(8):864. doi: 10.1001/archotol.129.8.864

CrossRef Full Text | Google Scholar

9. Ahn HJ, Na II, Park YH, Cho SY, Lee BC, Lee GH. Role of adjuvant chemotherapy in malignant mucosal melanoma of the head and neck. Oral Oncol (2010) 46(8):607–11. doi: 10.1016/j.oraloncology.2010.05.005

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Lian B, Si L, Cui C, Chi Z, Sheng X, Mao L, et al. Phase III randomized, multicenter trial comparing high-dose IFN-a2b with temozolomide plus cisplatin as adjuvant therapy for resected mucosal melanoma. J Clin Oncol (2018) 36(15_suppl):9589–9. doi: 10.1200/JCO.2018.36.15_suppl.9589

CrossRef Full Text | Google Scholar

11. Lian B, Si L, Cui C, Chi Z, Sheng X, Mao L, et al. Phase II randomized trial comparing high-dose IFN-α2b with temozolomide plus cisplatin as systemic adjuvant therapy for resected mucosal melanoma. Clin Cancer Res (2013) 19(16):4488–98. doi: 10.1158/1078-0432.CCR-13-0739

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Lai Y, Meng X, Liu Q, Lu H, Guo L, Wang S, et al. Impact of adjuvant therapy on survival for sinonasal mucosal melanoma. Acta Oto-Laryngologica (2020) 140(1):79–84. doi: 10.1080/00016489.2019.1635269

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Amaria RN, Reddy SM, Tawbi HA, Davies MA, Ross MI, Glitza IC, et al. Neoadjuvant immune checkpoint blockade in high-risk resectable melanoma. Nat Med (2018) 24(11):1649–54. doi: 10.1038/s41591-018-0197-1

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Cui C, Wang X, Lian B, Si L, Chi Z, Sheng X, et al. A phase 2 clinical trial of neoadjuvant anti-PD-1 ab (Toripalimab) plus axitinib in resectable mucosal melanoma. J Clin Oncol (2021) 39(15_suppl):9512–2. doi: 10.1200/JCO.2021.39.15_suppl.9512

CrossRef Full Text | Google Scholar

15. Eisenhauer EA, Therasse P, Bogaerts J, Schwartz LH, Sargent D, Ford R, et al. New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). Eur J Cancer (2009) 45(2):228–47. doi: 10.1016/j.ejca.2008.10.026

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Tetzlaff MT, Messina JL, Stein JE, Xu X, Amaria RN, Blank CU, et al. Pathological assessment of resection specimens after neoadjuvant therapy for metastatic melanoma. Ann Oncol (2018) 29(8):1861–8. doi: 10.1093/annonc/mdy226

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Keung EZ, Gershenwald JE. The eighth edition American joint committee on cancer (AJCC) melanoma staging system: Implications for melanoma treatment and care. Expert Rev Anticancer Ther (2018) 18(8):775–84. doi: 10.1080/14737140.2018.1489246

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Weber J, Mandala M, Del Vecchio M, Gogas HJ, Arance AM, Cowey CL, et al. Adjuvant nivolumab versus ipilimumab in resected stage III or IV melanoma. N Engl J Med (2017) 377(19):1824–35. doi: 10.1056/NEJMoa1709030

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Eggermont AMM, Blank CU, Mandala M, Long GV, Atkinson V, Dalle S, et al. Adjuvant pembrolizumab versus placebo in resected stage III melanoma. N Engl J Med (2018) 378(19):1789–801. doi: 10.1056/NEJMoa1802357

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Moreno Nogueira JA, Valero Arbizu M, Pérez Temprano R. Adjuvant treatment of melanoma. ISRN Dermatology 2013 (2013) p:1–17.

Google Scholar

21. D’Angelo SP, Larkin J, Sosman JA, Lebbé C, Brady B, Neyns B, et al. Efficacy and safety of nivolumab alone or in combination with ipilimumab in patients with mucosal melanoma: A pooled analysis. J Clin Oncol (2017) 35(2):226–35. doi: 10.1200/JCO.2016.67.9258

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Shoushtari AN, Wagstaff J, Ascierto PA, Butler MO, Lao CD, Marquez-Rodas I, et al. CheckMate 067: Long-term outcomes in patients with mucosal melanoma. J Clin Oncol (2020) 38(15_suppl):10019–9. doi: 10.1200/JCO.2020.38.15_suppl.10019

CrossRef Full Text | Google Scholar

23. Dimitriou F, Namikawa K, Reijers ILM, Buchbinder EI, Soon JA, Zaremba A, et al. Single-agent anti-PD-1 or combined with ipilimumab in patients with mucosal melanoma: an international, retrospective, cohort study. Ann Oncol (2022) 33(9):968–80. doi: 10.1016/j.annonc.2022.06.004

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Malaguarnera G, Madeddu R, Catania VE, Bertino G, Morelli L, Perrotta RE, et al. Anorectal mucosal melanoma. Oncotarget (2018) 9(9):8785–800. doi: 10.18632/oncotarget.23835

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Zhou HT, Zhou ZX, Zhang HZ, Bi JJ, Zhao P. Wide local excision could be considered as the initial treatment of primary anorectal malignant melanoma. Chin Med J (Engl) (2010) 123(5):585–8.

PubMed Abstract | Google Scholar

26. Kiran RP, Rottoli M, Pokala N, Fazio VW. Long-term outcomes after local excision and radical surgery for anal melanoma: Data from a population database. Dis Colon Rectum (2010) 53(4):402–8. doi: 10.1007/DCR.0b013e3181b71228

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Conforti F, Pala L, Sala I, Oriecuia C, De Pas T, Specchia C, et al. Evaluation of pathological complete response as surrogate endpoint in neoadjuvant randomised clinical trials of early stage breast cancer: Systematic review and meta-analysis. BMJ (2021) p:e066381. doi: 10.1136/bmj-2021-066381

CrossRef Full Text | Google Scholar

28. Menzies AM, Amaria RN, Rozeman EA, Huang AC, Tetzlaff MT, van de Wiel BA, et al. Pathological response and survival with neoadjuvant therapy in melanoma: A pooled analysis from the international neoadjuvant melanoma consortium (INMC). Nat Med (2021) 27(2):301–9. doi: 10.1038/s41591-020-01188-3

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Versluis JM, Long GV, Blank CU. Learning from clinical trials of neoadjuvant checkpoint blockade. Nat Med (2020) 26(4):475–84. doi: 10.1038/s41591-020-0829-0

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: mucosal melanoma, immunotherapy, melanoma, neoadjuvant, resectable

Citation: Ho J, Mattei J, Tetzlaff M, Williams MD, Davies MA, Diab A, Oliva ICG, McQuade J, Patel SP, Tawbi H, Wong MK, Fisher SB, Hanna E, Keung EZ, Ross M, Weiser R, Su SY, Frumovitz M, Meyer LA, Jazaeri A, Pettaway CA, Guadagnolo BA, Bishop AJ, Mitra D, Farooqi A, Bassett R, Faria S, Nagarajan P and Amaria RN (2022) Neoadjuvant checkpoint inhibitor immunotherapy for resectable mucosal melanoma. Front. Oncol. 12:1001150. doi: 10.3389/fonc.2022.1001150

Received: 22 July 2022; Accepted: 27 September 2022;
Published: 17 October 2022.

Edited by:

Richard Carvajal, Columbia University Irving Medical Center, United States

Reviewed by:

Rogerio Izar Neves, Moffitt Cancer Center, United States
Dai Ogata, National Cancer Centre, Japan

Copyright © 2022 Ho, Mattei, Tetzlaff, Williams, Davies, Diab, Oliva, McQuade, Patel, Tawbi, Wong, Fisher, Hanna, Keung, Ross, Weiser, Su, Frumovitz, Meyer, Jazaeri, Pettaway, Guadagnolo, Bishop, Mitra, Farooqi, Bassett, Faria, Nagarajan and Amaria. 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: Joel Ho, am9lbGhvMjAwN0BnbWFpbC5jb20=

†These authors share senior authorship

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