Literature DB >> 30291219

Efficacy of novel immunotherapy regimens in patients with metastatic melanoma with germline CDKN2A mutations.

Hildur Helgadottir1, Paola Ghiorzo2, Remco van Doorn3, Susana Puig4,5, Max Levin6, Richard Kefford7, Martin Lauss8, Paola Queirolo9, Lorenza Pastorino2, Ellen Kapiteijn10, Miriam Potrony4,5, Cristina Carrera4,5, Håkan Olsson8, Veronica Höiom1, Göran Jönsson8.   

Abstract

BACKGROUND: Inherited CDKN2A mutation is a strong risk factor for cutaneous melanoma. Moreover, carriers have been found to have poor melanoma-specific survival. In this study, responses to novel immunotherapy agents in CDKN2A mutation carriers with metastatic melanoma were evaluated.
METHODS: CDKN2A mutation carriers that have developed metastatic melanoma and undergone immunotherapy treatments were identified among carriers enrolled in follow-up studies for familial melanoma. The carriers' responses were compared with responses reported in phase III clinical trials for CTLA-4 and PD-1 inhibitors. From publicly available data sets, melanomas with somatic CDKN2A mutation were analysed for association with tumour mutational load.
RESULTS: Eleven of 19 carriers (58%) responded to the therapy, a significantly higher frequency than observed in clinical trials (p=0.03, binomial test against an expected rate of 37%). Further, 6 of the 19 carriers (32%) had complete response, a significantly higher frequency than observed in clinical trials (p=0.01, binomial test against an expected rate of 7%). In 118 melanomas with somatic CDKN2A mutations, significantly higher total numbers of mutations were observed compared with 761 melanomas without CDKN2A mutation (Wilcoxon test, p<0.001).
CONCLUSION: Patients with CDKN2A mutated melanoma may have improved immunotherapy responses due to increased tumour mutational load, resulting in more neoantigens and stronger antitumorous immune responses. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  cdkn2a; familial melanoma; immunotherapy; metastatic melanoma; tumor mutation burden

Mesh:

Substances:

Year:  2018        PMID: 30291219      PMCID: PMC7231460          DOI: 10.1136/jmedgenet-2018-105610

Source DB:  PubMed          Journal:  J Med Genet        ISSN: 0022-2593            Impact factor:   6.318


Background

Inherited pathogenic variants in the CDKN2A gene are among the strongest known risk factors for cutaneous melanoma.1 CDKN2A is a tumour suppressor gene on chromosome 9p21 encoding for the cell cycle inhibitors p16 and p14ARF. Germline CDKN2A mutations are identified in familial melanoma probands but are rare in the normal population (<0.1%).2 Mutation carriers have a risk of melanoma that is >65-fold increased and a lifetime penetrance for melanoma of >70%.1 CDKN2A mutation carriers have a high risk of developing multiple primary melanomas and also other cancers.1 3 4 Additionally, a previous study reported that germline CDKN2A mutation carriers had inferior melanoma-specific survival that was independent of American Joint Committee on Cancer (AJCC) stage, age and sex, and not associated with the diagnosis of subsequent primary melanomas or other cancers.5 Somatic CDKN2A mutations and deletions are frequent driver events in melanoma tumours and CDKN2A deletions and loss of p16 protein have been associated with increased tumour proliferation, increased risk of metastases and decreased patient survival.6–10 Melanomas are, in general, tumours with very high mutation burden, with frequent ultraviolet light-induced mutations in many genes.11 Besides CDKN2A, BRAF and NRAS are the genes that are most frequently mutated in melanoma tumours.6 7 Disseminated melanoma is notoriously difficult to treat with standard chemotherapy agents and there are still no single or combination chemotherapy regimens that have shown to prolong the patient’s survival. In recent years, however, effective targeted therapies and immunotherapy regimens, particularly the CTLA-4 and PD-1 blocking antibodies have emerged for the treatment of melanoma.12–15 These, so called immune checkpoint inhibitors, act by blocking an innate negative regulation of T cell activation and response, thus allowing the immune system to attack the tumour. The emergence of these treatments has revolutionised the melanoma oncology field, but unfortunately a considerable fraction of patients with melanoma do not respond to immunotherapies. Immune checkpoint inhibitors are also associated with immune-related side effects that can be serious and life-threatening.12–15 For this reason, it is important to increase the knowledge about predictive factors and the efficacy of the therapies in different patient groups. Clinical factors such as poor performance status, multiple sites of metastases and high tumour burden predict inferior responses, as well as when immunotherapies are given after progression on preceding lines of therapies. Yet, the knowledge on other predictive factors for checkpoint inhibitors is limited. Patients with tumours that harbour activating BRAF mutations respond equally to immune checkpoint inhibitors as those without such mutations.13–15 However, there is growing evidence that tumour mutational burden is a strong independent predictive factor for efficacy of immunotherapies.7 16–18 So far, there have been no studies addressing the effect of immunotherapy regimens in patients with melanoma with germline CDKN2A mutations.

Methods

Patient accrual

CDKN2A mutation carriers that have developed metastatic melanoma and undergone immunotherapy treatments were identified by reviewing medical records of carriers enrolled in follow-up studies for familial melanoma. The different studies in which mutation carriers were identified have previously been described.1–4 19 Data were collected on the type of germline CDKN2A mutation and its effect on p16 and p14ARF, age and sex of the patient, tumour stage (according to the eighth edition of the AJCC cancer staging system, implemented January 2018), BRAF mutation status of tumours, type of immunotherapy, line of treatment, previous therapies, responses, survival and treatment side effects. The carriers received the immune checkpoint inhibitors according to standard dosage and treatment schedules; CTLA.4 blockade: ipilimumab, 3 mg/kg, four courses, every third week or tremelimumab, 15 mg/kg, four courses every 90th day; PD1-blockade: nivolumab, 3 mg/kg every second week or pembrolizumab, 2 mg/kg, every third week, both drugs as long as tolerated or until progression; CTLA-4/PD-1 blockade: ipilimumab 3 mg/kg+nivolumab 1 mg/kg, four courses every third week followed by nivolumab 3 mg/kg every second week as long as tolerated or until progression; PD-1/BRAF/MEK-blockade: according to study protocol (clinicaltrials.gov/ct2/show/NCT02967692). Adoptive T cell transfer was performed according to the study by Verdegaal et al.20

Response data

The best response achieved was assessed in the CDKN2A mutation carriers and compared with responses reported in the phase III clinical trials in patients with metastatic melanoma for ipilimumab, pembrolizumab, nivolumab and the ipilimumab/nivolumab combination.12–15 By a binomial test it was evaluated if there was a statistically significant difference in the response rate in the carriers compared with an expected rate. The expected rate was calculated as a median of the responses in the clinical trials weighted against the numbers of carriers receiving each type of therapy (the T cell transfer and PD-1/BRAF/MEK therapies were assumed to have responses as high as for the ipilimumab/nivolumab combination).

Mutational load analyses

From publicly available data sets, as described in the study by Cirenajwis et al,21 melanomas with somatic CDKN2A mutation were analysed for association with tumour mutational load. In the tumours, total numbers of mutations found in 1461 frequently mutated cancer-associated genes were analysed. Non-parametrical Wilcoxon test was used to calculate the p value for difference in the total number of mutations with or without CDKN2A mutation. The p value was adjusted for study from which the tumours originated and for origin of tumours from primary melanomas or metastatic lesions. For linear regression, mutational load was log-transformed to approximate a normal distribution.

Results

Patients and immunotherapy response

Among the 19 identified patients, nine different pathogenic germline mutations were found, most affecting both p16 and p14ARF (table 1). There were 10 men and 9 women and the median age when treatment started was 55 years (range 29–75 years). Fifteen of the 19 patients (79%) had M1c-d disease which is a higher frequency compared with the patients that have been enrolled in the ipilimumab, pembrolizumab, nivolumab and ipilimumab/nivolumab trials (71%, 64%, 61% and 58%, respectively). Five of the patients (26%) had brain metastasis (M1d according to the eighth AJCC staging system), such patients belong to a particularly poor prognosis group, and are usually not well represented in clinical trials (12%, 10%, 4% and 4% in the ipilimumab, pembrolizumab, nivolumab and ipilimumab/nivolumab trials, respectively). Twelve of the patients (63%) had received previous lines of treatments (the majority BRAF ±MEK inhibitors) compared with 100%, 35%, 0% and 0% in the ipilimumab, pembrolizumab, nivolumab and ipilimumab/nivolumab trials, respectively. Activating mutations in the BRAF gene were detected in the melanoma tumours of 14 patients (74%).
Table 1

Patients with melanoma with germline CDKN2A mutations that have received immunotherapy for metastatic melanoma

IDSexAgeGermline CDKN2A mutationp16 mutationsP14ARF mutationsTumour  stage*BRAF mut ationType of therapy*Line of treatmentYear when treatment startedPrevious therapies†Resp onseGrade 3–4 side effectsOverall survival (months)‡Progression-free survival (months)‡
1M43c.301G>TMissenseMissenseM1aV600ECTLA-412014CRNo33+33+
2F42c.301G>TMissenseMissenseM1aCTLA-412006CRNo138+41
3M69c.337_338insGTCInsertionInsertionM1dCTLA-412012PRNo2412
4M54c.301G>TMissenseMissenseM1cCTLA-412015SDNo126
5F39c.193G>CMissenseM1bV600ECTLA-412013PDNo460
6M29c.225_243del119FrameshiftChimaeraM1dV600ECTLA-422015BRAFPDYes24+0
7M57c.301G>TMissenseMissenseM1cV600ECTLA-432011Chemo, chemoPDNo20
8F69c.301G>TMissenseMissenseM1cV600ECTLA-422015BRAFPDNo30
9M75c.337_338insGTCInsertionInsertionM1cV600KPD-122015BRAFCRYes30+30+
10M57C.79G>TNonsenseM1dPD-112016PRNo11+11+
11F62c.241C>TMissenseMissenseM1cV600EPD-122017BRAF/MEKPRNo4+4+
12F48c.225_243del119FrameshiftChimaeraM1cV600EPD-122017BRAF/MEKPRYes4+4+
4M54c.301G>TMissenseMissenseM1cPD-122015CTLA-4SDNo126
13M46c.225_243del119FrameshiftChimaeraM1aV600EPD-122017BRAF/MEKPDNo3+0
14F59c.202_203GC>TTMissenseMissenseM1cV600EPD-122017BRAF/MEKPDNo30
15F57c.301G>TMissenseMissenseM1cV600EPD-122016BRAF/MEKPDNo30
16M55c.337_338insGTCInsertionInsertionM1cV600ECTLA-4/PD-112016CRYes24+24+
5F39c.193G>CMissenseM1bV600ECTLA-4/PD-132017CTLA-4, BRAF/MEKCRYes3+3+
17F43c.-34G>TInitiationM1dV600ECTLA-4/PD-122017BRAF/MEKPDNo10
18M33c.225_243del119FrameshiftChimaeraM1dACT12005CRNo132+132+
19F64c.370C>TMissenseM1cV600EPD-1/BRAF/MEK12017PRNo4+4+

*Tumour stage according to the eighth edition of the AJCC Cancer Staging System (M1d: patients with brain metastases).

†Anti-CTLA-4 therapies: ipilimumab or tremelimumab; Anti-PD-1 therapies: pembrolizumab, nivolumab or spartalizumab; Anti-BRAF therapies: vemurafenib, dabrafenib or encorafenib; Anti-MEK therapies: trametinib or binimetinib; ACT, Adoptive T cell transfer with  interfron-alpha.

‡Overall survival and progression-free survival in months from start of treatment. The +sign indicates that the patient is still alive (for overall survival) or has ongoing response (for progression-free survival).

CR, complete response; PR, progressive disease; SD, stable disease.

Patients with melanoma with germline CDKN2A mutations that have received immunotherapy for metastatic melanoma *Tumour stage according to the eighth edition of the AJCC Cancer Staging System (M1d: patients with brain metastases). †Anti-CTLA-4 therapies: ipilimumab or tremelimumab; Anti-PD-1 therapies: pembrolizumab, nivolumab or spartalizumab; Anti-BRAF therapies: vemurafenib, dabrafenib or encorafenib; Anti-MEK therapies: trametinib or binimetinib; ACT, Adoptive T cell transfer with  interfron-alpha. ‡Overall survival and progression-free survival in months from start of treatment. The +sign indicates that the patient is still alive (for overall survival) or has ongoing response (for progression-free survival). CR, complete response; PR, progressive disease; SD, stable disease. Eight patients received CTLA-4 blockade, eight patients received PD-1 blockade, three patients received dual CTLA-4 and PD-1 blockade, one patient had adoptive T cell transfer therapy and one patient received triple combination of PD-1, BRAF and MEK inhibitors. Eleven of the 19 carriers (58%) responded to immunotherapy compared with 10%, 33%, 43% and 57% of the patients in the ipilimumab, pembrolizumab, nivolumab and ipilimumab/nivolumab trials, respectively12–15 (p=0.03, binomial test against an expected rate of 37%). Further, 6 of the 19 carriers (32%) had complete response, which is superior to what has been observed in any of the clinical trials where complete response was observed in 2%, 6%, 8% and 12% in the ipilimumab, pembrolizumab, nivolumab and ipilimumab/nivolumab trials, respectively (p=0.01, binomial test against an expected rate of 7%). Treatment-related grade 3–4 side effects were observed in the carriers at frequencies comparable to what has been reported in clinical trials. The overall and progression-free survival in months for each of the patients is shown in table 1. Of the eight patients that received CTLA-4 inhibitors, six (75%) were alive 1 year after the start of the treatment and five (63%) were alive 2 years after treatment start. To compare, the 1-year and 2-year overall survival in the phase III ipilimumab study was 46% and 24%, respectively.12 Among the carriers receiving PD-1 inhibitors or the CTLA-4/PD-1 inhibitor combination, a significant fraction of the patients had ongoing survival that was less than a year, and hence the 1-year and 2-year survival rates cannot be calculated for these therapies yet.

Mutation burden of melanoma tumours

Since total mutational and neoantigen load in tumours has been found to be a major predictive factor for the response to immunotherapies7 16 17 we sought to investigate mutation burden in CDKN2A mutated tumours. For this purpose, we combined mutation data from 879 melanoma tumours from four publicly available studies.21 Majority of tumours were from metastatic lesions (82%), while only 17% were from primary tumours. Of the 879 tumours, 118 were found to have deleterious CDKN2A mutations (figure 1A). Interestingly, the tumours with CDKN2A mutations had significantly higher total numbers of mutations in their genome compared with the tumours without CDKN2A mutation. (Wilcoxon test, P<0.001, figure 1B). Further, the association between mutational load and CDKN2A mutation status was confirmed in a linear regression model adjusted for study from which the tumours originated and for origin of tumours from primary melanomas or metastatic lesions, P<0.001. No significant differences were found in the mutation load depending on if tumours had mutations in BRAF or NRAS (data not shown).
Figure 1

CDKN2A mutations and mutational load in melanoma tumours. (A) Distribution of somatic mutations in the CDKN2A gene created by the MutationMapper tool at cBioPortal. Highlighted are the three most frequently recurring mutations (P114L/T, R80* and W110*) observed in the melanoma tumours. (B) Mutational load analysis in 879 melanoma tumours, 118 tumours with CDKN2A mutations (mut) and 761 tumours without CDKN2A mutations (wt). The y axis shows total numbers of mutations found per tumour sample in 1461 frequently mutated cancer-associated genes. The non-parametrical Wilcoxon test was used to calculate the p value. The association between mutational load and CDKN2A mutation status was confirmed in a linear regression model adjusted for study from which the tumours originated and for origin of tumours from primary melanomas or metastatic lesions, p<0.001. For linear regression, mutational load was log-transformed to approximate a normal distribution.

CDKN2A mutations and mutational load in melanoma tumours. (A) Distribution of somatic mutations in the CDKN2A gene created by the MutationMapper tool at cBioPortal. Highlighted are the three most frequently recurring mutations (P114L/T, R80* and W110*) observed in the melanoma tumours. (B) Mutational load analysis in 879 melanoma tumours, 118 tumours with CDKN2A mutations (mut) and 761 tumours without CDKN2A mutations (wt). The y axis shows total numbers of mutations found per tumour sample in 1461 frequently mutated cancer-associated genes. The non-parametrical Wilcoxon test was used to calculate the p value. The association between mutational load and CDKN2A mutation status was confirmed in a linear regression model adjusted for study from which the tumours originated and for origin of tumours from primary melanomas or metastatic lesions, p<0.001. For linear regression, mutational load was log-transformed to approximate a normal distribution.

Conclusions

From this collaborative effort between oncogenic clinics in Sweden, Italy, The Netherlands, Spain and Australia we report of 19 CDKN2A mutation carriers with metastatic melanoma that have received novel immunotherapy treatments. Although a substantially higher frequency of the patients with CDKN2A mutated melanoma had M1c-M1d disease and/or were previously treated, they had responses to the immunotherapy regimens that were superior to what has been reported in clinical trials.12–15 This was an unexpected finding and the underlying mechanisms for the responsiveness to immunotherapy among the carriers are uncertain. However, we explored a possible aetiology by analysing the mutation burden of somatic CDKN2A mutated tumours. Interestingly an increased number of genomic mutations was observed in melanomas with somatic CDKN2A mutation. Since cell cycle checkpoint controls are tightly associated with DNA damage response and repair mechanisms it is possible that CDKN2A mutated cells accumulate an increased number of mutations. Patients with CDKN2A mutated melanoma may therefore have improved immunotherapy responses due to increased tumour mutational load, resulting in more neoantigens and stronger antitumorous immune responses. However, such an association would optimally be explored by relating the mutation burden of tumours from CDKN2A mutation carriers to immunotherapy responses, however, the low number of carriers is a limiting factor for such analyses. Further studies are needed on the association between CDKN2A mutations, mutation load and immunotherapy responses and on underlying mechanisms for such associations. The relatively low number of the carriers needs to be perceived in the light of the low population frequency of the CDKN2A mutation and while the majority of carriers develop melanoma, most known carriers are under surveillance to endorse prevention and early detection, with the result that relatively few have developed metastatic melanoma in our familial melanoma clinics in the past few years, during which the checkpoint inhibitors have been available. PD-1 inhibitors have recently been found very effective, also in the adjuvant situation, that is, to prevent recurrence in patients operated for high-risk cutaneous melanomas. This is reassuring for CDKN2A mutation carriers that often develop multiple primary melanomas during their life spans. Further, the CTLA-4 and PD-1 inhibitors were first approved for treatment of disseminated melanoma, but later PD-1 blockade has also been approved for the treatment of other cancers including oropharyngeal and lung cancers although the response rates are inferior to what has been observed in melanoma. CDKN2A mutation carriers have significantly increased risks for lung and oropharyngeal cancers1 3 but we have yet not identified any CDKN2A mutation carrier that has received PD-1 blockade for such cancers. Considering the responses among the patients with melanoma it is possible that carriers affected by lung and oropharyngeal cancers would respond well to such immunotherapies. In familial melanoma clinics, CDKN2A mutation carriers are frequently encountered and here knowledge on risk factors, outcomes and treatments is invaluable. The CDKN2A mutation carriers in the study had a good response rate to the novel immunotherapy regimens, which we believe is helpful information for caregivers that manage CDKN2A mutation carriers and their families. Based on our findings, CDKN2A mutation predicts a good response to immunotherapies, possibly due to increased mutational load in CDKN2A mutated tumours. Further, in the light of the previous publication on poor melanoma-specific survival in the CDKN2A mutation carriers (carried out in the ‘pre-checkpoint inhibitor era’),1 these findings are reassuring for this group of patients.
  21 in total

1.  Nivolumab in previously untreated melanoma without BRAF mutation.

Authors:  Caroline Robert; Georgina V Long; Benjamin Brady; Caroline Dutriaux; Michele Maio; Laurent Mortier; Jessica C Hassel; Piotr Rutkowski; Catriona McNeil; Ewa Kalinka-Warzocha; Kerry J Savage; Micaela M Hernberg; Celeste Lebbé; Julie Charles; Catalin Mihalcioiu; Vanna Chiarion-Sileni; Cornelia Mauch; Francesco Cognetti; Ana Arance; Henrik Schmidt; Dirk Schadendorf; Helen Gogas; Lotta Lundgren-Eriksson; Christine Horak; Brian Sharkey; Ian M Waxman; Victoria Atkinson; Paolo A Ascierto
Journal:  N Engl J Med       Date:  2014-11-16       Impact factor: 91.245

2.  Improved survival with ipilimumab in patients with metastatic melanoma.

Authors:  F Stephen Hodi; Steven J O'Day; David F McDermott; Robert W Weber; Jeffrey A Sosman; John B Haanen; Rene Gonzalez; Caroline Robert; Dirk Schadendorf; Jessica C Hassel; Wallace Akerley; Alfons J M van den Eertwegh; Jose Lutzky; Paul Lorigan; Julia M Vaubel; Gerald P Linette; David Hogg; Christian H Ottensmeier; Celeste Lebbé; Christian Peschel; Ian Quirt; Joseph I Clark; Jedd D Wolchok; Jeffrey S Weber; Jason Tian; Michael J Yellin; Geoffrey M Nichol; Axel Hoos; Walter J Urba
Journal:  N Engl J Med       Date:  2010-06-05       Impact factor: 91.245

3.  Mutational and putative neoantigen load predict clinical benefit of adoptive T cell therapy in melanoma.

Authors:  Martin Lauss; Marco Donia; Katja Harbst; Rikke Andersen; Shamik Mitra; Frida Rosengren; Maryem Salim; Johan Vallon-Christersson; Therese Törngren; Anders Kvist; Markus Ringnér; Inge Marie Svane; Göran Jönsson
Journal:  Nat Commun       Date:  2017-11-23       Impact factor: 14.919

4.  Pembrolizumab versus Ipilimumab in Advanced Melanoma.

Authors:  Caroline Robert; Jacob Schachter; Georgina V Long; Ana Arance; Jean Jacques Grob; Laurent Mortier; Adil Daud; Matteo S Carlino; Catriona McNeil; Michal Lotem; James Larkin; Paul Lorigan; Bart Neyns; Christian U Blank; Omid Hamid; Christine Mateus; Ronnie Shapira-Frommer; Michele Kosh; Honghong Zhou; Nageatte Ibrahim; Scot Ebbinghaus; Antoni Ribas
Journal:  N Engl J Med       Date:  2015-04-19       Impact factor: 91.245

5.  CM-Score: a validated scoring system to predict CDKN2A germline mutations in melanoma families from Northern Europe.

Authors:  Thomas P Potjer; Hildur Helgadottir; Mirjam Leenheer; Nienke van der Stoep; Nelleke A Gruis; Veronica Höiom; Håkan Olsson; Remco van Doorn; Hans F A Vasen; Christi J van Asperen; Olaf M Dekkers; Frederik J Hes
Journal:  J Med Genet       Date:  2018-04-16       Impact factor: 6.318

6.  Genomic and Transcriptomic Features of Response to Anti-PD-1 Therapy in Metastatic Melanoma.

Authors:  Willy Hugo; Jesse M Zaretsky; Lu Sun; Chunying Song; Blanca Homet Moreno; Siwen Hu-Lieskovan; Beata Berent-Maoz; Jia Pang; Bartosz Chmielowski; Grace Cherry; Elizabeth Seja; Shirley Lomeli; Xiangju Kong; Mark C Kelley; Jeffrey A Sosman; Douglas B Johnson; Antoni Ribas; Roger S Lo
Journal:  Cell       Date:  2016-03-17       Impact factor: 41.582

7.  Clinical genetic testing for familial melanoma in Italy: a cooperative study.

Authors:  William Bruno; Paola Ghiorzo; Linda Battistuzzi; Paolo A Ascierto; Monica Barile; Sara Gargiulo; Francesca Gensini; Sara Gliori; Michele Guida; Maurizio Lombardo; Siranoush Manoukian; Chiara Menin; Sabina Nasti; Paola Origone; Barbara Pasini; Lorenza Pastorino; Bernard Peissel; Maria Antonietta Pizzichetta; Paola Queirolo; Monica Rodolfo; Antonella Romanini; Maria Chiara Scaini; Alessandro Testori; Maria Grazia Tibiletti; Daniela Turchetti; Sancy A Leachman; Giovanna Bianchi Scarrà
Journal:  J Am Acad Dermatol       Date:  2009-06-04       Impact factor: 11.527

8.  Germline CDKN2A Mutation Status and Survival in Familial Melanoma Cases.

Authors:  Hildur Helgadottir; Veronica Höiom; Rainer Tuominen; Kari Nielsen; Göran Jönsson; Håkan Olsson; Johan Hansson
Journal:  J Natl Cancer Inst       Date:  2016-06-10       Impact factor: 13.506

9.  Successful treatment of metastatic melanoma by adoptive transfer of blood-derived polyclonal tumor-specific CD4+ and CD8+ T cells in combination with low-dose interferon-alpha.

Authors:  Els M E Verdegaal; Marten Visser; Tamara H Ramwadhdoebé; Caroline E van der Minne; Jeanne A Q M J van Steijn; Ellen Kapiteijn; John B A G Haanen; Sjoerd H van der Burg; Johan W R Nortier; Susanne Osanto
Journal:  Cancer Immunol Immunother       Date:  2011-03-24       Impact factor: 6.968

10.  Signatures of mutational processes in human cancer.

Authors:  Ludmil B Alexandrov; Serena Nik-Zainal; David C Wedge; Samuel A J R Aparicio; Sam Behjati; Andrew V Biankin; Graham R Bignell; Niccolò Bolli; Ake Borg; Anne-Lise Børresen-Dale; Sandrine Boyault; Birgit Burkhardt; Adam P Butler; Carlos Caldas; Helen R Davies; Christine Desmedt; Roland Eils; Jórunn Erla Eyfjörd; John A Foekens; Mel Greaves; Fumie Hosoda; Barbara Hutter; Tomislav Ilicic; Sandrine Imbeaud; Marcin Imielinski; Marcin Imielinsk; Natalie Jäger; David T W Jones; David Jones; Stian Knappskog; Marcel Kool; Sunil R Lakhani; Carlos López-Otín; Sancha Martin; Nikhil C Munshi; Hiromi Nakamura; Paul A Northcott; Marina Pajic; Elli Papaemmanuil; Angelo Paradiso; John V Pearson; Xose S Puente; Keiran Raine; Manasa Ramakrishna; Andrea L Richardson; Julia Richter; Philip Rosenstiel; Matthias Schlesner; Ton N Schumacher; Paul N Span; Jon W Teague; Yasushi Totoki; Andrew N J Tutt; Rafael Valdés-Mas; Marit M van Buuren; Laura van 't Veer; Anne Vincent-Salomon; Nicola Waddell; Lucy R Yates; Jessica Zucman-Rossi; P Andrew Futreal; Ultan McDermott; Peter Lichter; Matthew Meyerson; Sean M Grimmond; Reiner Siebert; Elías Campo; Tatsuhiro Shibata; Stefan M Pfister; Peter J Campbell; Michael R Stratton
Journal:  Nature       Date:  2013-08-14       Impact factor: 49.962

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Review 1.  Progress report on the major clinical advances in patient-oriented research into familial melanoma (2013-2018).

Authors:  Mijke Visser; Nienke van der Stoep; Nelleke Gruis
Journal:  Fam Cancer       Date:  2019-04       Impact factor: 2.375

2.  Immunotyping and Quantification of Melanoma Tumor-Infiltrating Lymphocytes.

Authors:  Max O Meneveau; Zeyad T Sahli; Kevin T Lynch; Ileana S Mauldin; Craig L Slingluff
Journal:  Methods Mol Biol       Date:  2021

3.  Salvage Therapy With Multikinase Inhibitors and Immunotherapy in Advanced Adrenal Cortical Carcinoma.

Authors:  Kevin C Miller; Ashish V Chintakuntlawar; Crystal Hilger; Irina Bancos; John C Morris; Mabel Ryder; Carin Y Smith; Sarah M Jenkins; Keith C Bible
Journal:  J Endocr Soc       Date:  2020-06-09

4.  Mast cell marker gene signature in head and neck squamous cell carcinoma.

Authors:  Zhimou Cai; Bingjie Tang; Lin Chen; Wenbin Lei
Journal:  BMC Cancer       Date:  2022-05-24       Impact factor: 4.638

Review 5.  Genetic Alterations in the INK4a/ARF Locus: Effects on Melanoma Development and Progression.

Authors:  Zizhen Ming; Su Yin Lim; Helen Rizos
Journal:  Biomolecules       Date:  2020-10-15

Review 6.  Loss of p16: A Bouncer of the Immunological Surveillance?

Authors:  Kelly E Leon; Naveen Kumar Tangudu; Katherine M Aird; Raquel Buj
Journal:  Life (Basel)       Date:  2021-04-02

Review 7.  Germline genetic host factors as predictive biomarkers in immuno-oncology.

Authors:  Vylyny Chat; Robert Ferguson; Tomas Kirchhoff
Journal:  Immunooncol Technol       Date:  2019-09-05

Review 8.  Genetic risk factors in melanoma etiopathogenesis and the role of genetic counseling: A concise review.

Authors:  Nikola Serman; Semir Vranic; Mislav Glibo; Ljiljana Serman; Zrinka Bukvic Mokos
Journal:  Bosn J Basic Med Sci       Date:  2022-09-16       Impact factor: 3.759

9.  Efficacy of BRAF and MEK Inhibition in Patients with BRAF-Mutant Advanced Melanoma and Germline CDKN2A Pathogenic Variants.

Authors:  Francesco Spagnolo; Bruna Dalmasso; Enrica Tanda; Miriam Potrony; Susana Puig; Remco van Doorn; Ellen Kapiteijn; Paola Queirolo; Hildur Helgadottir; Paola Ghiorzo
Journal:  Cancers (Basel)       Date:  2021-05-18       Impact factor: 6.639

10.  The Human Melanoma Proteome Atlas-Complementing the melanoma transcriptome.

Authors:  Lazaro Hiram Betancourt; Jeovanis Gil; Aniel Sanchez; Viktória Doma; Magdalena Kuras; Jimmy Rodriguez Murillo; Erika Velasquez; Uğur Çakır; Yonghyo Kim; Yutaka Sugihara; Indira Pla Parada; Beáta Szeitz; Roger Appelqvist; Elisabet Wieslander; Charlotte Welinder; Natália Pinto de Almeida; Nicole Woldmar; Matilda Marko-Varga; Jonatan Eriksson; Krzysztof Pawłowski; Bo Baldetorp; Christian Ingvar; Håkan Olsson; Lotta Lundgren; Henrik Lindberg; Henriett Oskolas; Boram Lee; Ethan Berge; Marie Sjögren; Carina Eriksson; Dasol Kim; Ho Jeong Kwon; Beatrice Knudsen; Melinda Rezeli; Johan Malm; Runyu Hong; Peter Horvath; A Marcell Szász; József Tímár; Sarolta Kárpáti; Peter Horvatovich; Tasso Miliotis; Toshihide Nishimura; Harubumi Kato; Erik Steinfelder; Madalina Oppermann; Ken Miller; Francesco Florindi; Quimin Zhou; Gilberto B Domont; Luciana Pizzatti; Fábio C S Nogueira; Leticia Szadai; István Balázs Németh; Henrik Ekedahl; David Fenyö; György Marko-Varga
Journal:  Clin Transl Med       Date:  2021-07
  10 in total

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