Skip to main content

MINI REVIEW article

Front. Oncol., 09 November 2016
Sec. Molecular and Cellular Oncology
This article is part of the Research Topic Self-Eating on Demand: Autophagy in Cancer and Cancer Therapy View all 10 articles

Prognostic Impact of Autophagy Biomarkers for Cutaneous Melanoma

\r\nDiana Y. L. Tang,*Diana Y. L. Tang1,2*Robert A. Ellis,Robert A. Ellis1,2Penny E. Lovat\r\nPenny E. Lovat1
  • 1Dermatological Sciences, Institute of Cellular Medicine, Newcastle University, Newcastle-upon-Tyne, UK
  • 2Dermatology, The James Cook University Hospital, Middlesbrough, UK

Prognosis and survival for malignant melanoma is highly dependent on early diagnosis and treatment. While the American Joint Committee on Cancer (AJCC) criterion provides a means of staging melanomas and guiding treatment approaches, it is unable to identify the risk of disease progression of early stage tumors or provide reliable stratification for novel adjuvant therapies. The demand for credible prognostic/companion biomarkers able to identify high-risk melanoma subgroups as well as guide more effective personalized/precision-based therapy is therefore of paramount importance. Autophagy, the principle lysosomal-mediated process for the degradation/recycling of cellular debris, is a hot topic in cancer medicine, and observations of its deregulation in melanoma have brought its potential as a prognostic biomarker to the forefront of current research. Key regulatory proteins, including Atg8/microtubule-associated light chain 3 (LC3) and BECN1 (Beclin 1), have been proposed as potential prognostic biomarkers. However, given the dynamic nature of autophagy, their expression in vitro does not translate to their use as a prognostic biomarker for melanoma in vivo. We have recently identified the expression levels of Sequestosome1/SQSTM1 (p62) and activating molecule in Beclin 1-regulated autophagy protein 1 (AMBRA1) as novel independent prognostic biomarkers for early stage melanomas. While increasing followed by subsequent decreasing levels of p62 expression reflects the paradoxical role of autophagy in melanoma, expression levels additionally define a novel prognostic biomarker for AJCC stage II tumors. Conversely, loss of AMBRA1 in the epidermis overlying primary melanomas defines a novel prognostic biomarker for AJCC stage I tumors. Collectively, the definition of AMBRA1 and p62 as prognostic biomarkers for early stage melanomas provides novel and accurate means through which to identify tumors at risk of disease progression, facilitating earlier patient therapeutic intervention and stratification tools for novel personalized therapeutic approaches to improve clinical outcome.

Malignant melanoma, the most aggressive form of skin cancer arising from the malignant transformation of melanocytes, is an increasing public health concern worldwide with incidence rates doubling every 10–20 years (1), which now renders this malignancy accountable for 75% of all skin cancer deaths and the most common cause of cancer-related mortality in young individuals between 20 and 35 years of age (2).

As with many cancers, prognosis and survival for melanoma is highly dependent on early detection, diagnosis, and treatment. In line with this need and coupled with the emergence of novel targeted and immunotherapies, current interest is focused on the discovery of predictive and prognostic biomarkers. A biomarker refers to any measurable diagnostic indicator that is used to assess the risk or presence of disease (3). While predictive biomarkers are able to indicate which patient subgroups are likely to benefit from certain treatments (4), prognostic markers enable stratification of patients at initial diagnosis according to eventual outcome, which can be used clinically to guide patient management including the earlier initiation of adjuvant therapies in patients at high risk of disease progression, potentially preventing the development of untreatable metastatic disease (5).

Some of the best established prognostic biomarkers for melanoma are incorporated into the current American Joint Committee on Cancer (AJCC) 2009 staging criterion, the most comprehensive staging system for melanoma to date, which remains the international standard for disease staging and as a guide for treatment approaches. AJCC staging combines several prognostic factors for melanoma, including the depth of invasion (Breslow depth), rate of mitoses, presence of ulceration (loss of the epidermis overlying the tumor), evidence of metastatic spread, and changes in serum lactate dehydrogenase (LDH) to allow risk stratification of morbidity and mortality at the initial diagnosis (6). In general, this divides malignant melanoma into four stages: stages I–II comprising primary tumors of distinct thickness (defined as early stage disease), stage III where locoregional spread of disease (mainly to local lymph node basins) is present, and stage IV where there is presence of distant metastasis.

While early stage melanoma is largely curative by surgical excision, metastatic disease represents the cause of death from melanoma in the vast majority of cases due to a lack of consistently beneficial treatment regimens for late stage disease. Furthermore, despite its comprehensiveness, AJCC staging as a prognostic biomarker is limited by the inability of its criteria to accurately identify high-risk melanoma subgroups that will go on to progress; a particular problem in seemingly “low risk” AJCC stage I melanomas where up to 10% of tumors subsequently metastasize. This emphasizes the urgent need for novel credible biomarkers to identify high-risk tumors as well as the stratification of such patients for more efficacious and earlier therapeutic approaches (6).

Observations of deregulated autophagy in many cancers, including melanoma, have brought this key signaling mechanism to the forefront of much research (7, 8), including its potential capacity as a prognostic biomarker. Autophagy, the principle catabolic process for lysosomal-mediated degradation of intracellular components to sustain cellular energy and survival, is regulated by a complex signaling cascade involving ubiquitin-like conjugation systems, autophagy regulatory proteins [BECN1/Beclin 1 (Beclin-1), activating molecule in Beclin 1-regulated autophagy protein 1 (AMBRA1), Atg8/microtubule-associated light chain 3 LC3 (LC3), and Sequestosome1/SQSTM1 (p62)], and the inactivation of mammalian target of rapamycin (mTOR) to induce activation. Cellular debris within the cytoplasm is sequestered into double-membrane autophagosomes, which are then delivered to lysosomes for degradation and recycling (9). In cancer, however, autophagy plays a paradoxical role; on the one hand, preventing build-up of toxic cellular components that result in genomic stress and instability, thereby promoting tumorigenesis, while, on the other hand, promoting tumor survival of advanced stage solid tumors such as melanoma in a nutrient-deprived hypoxic environment (10). Consistent with the paradoxical role of autophagy and in contrast to observations in benign nevi, electron microscopy studies have shown an increased presence and vacuolization (suggesting degradation) of double-membraned autophagosomes in the cytoplasm of metastatic melanoma cells, thus supporting the notion of increased autophagic activity in advanced stage disease (11, 12).

BRAF is a member of the RAF group of serine/threonine protein kinases, and as such functions to regulate the mitogen-activated protein kinase (MAPK)/extracellular signal-regulated kinase (ERK) cellular growth pathway (13). Activating mutations in BRAF, present and in up to 70% of all melanomas along with NRas mutations (present in approximately 15–20% of melanomas), result in constitutive activation of MAPK signaling, promoting growth, survival, and chemoresistance (1417). Interestingly, BRAF mutational status in melanoma has also been shown to variably influence autophagy. Following treatment of BRAF wild-type melanoma cells with endoplasmic reticulum (ER) stress-inducing agents in vitro, autophagy is activated in line with its pro-survival role; however, when autophagy is inhibited exogenously, this leads to increased cell death (12, 18). Conversely, oncogenic BRAF induces a chronic ER stress status, resulting in enhanced basal autophagy [as evidenced by increased Atg8-PE/LC3-II (LC3-II) expression], resistance of melanoma cells to apoptosis, and insensitivity to further autophagy induction. This suggests that although melanomas rely on increased innate autophagic activity, BRAF-mutated tumors are resistant to further mTOR-dependant stimulation of autophagy and that while combined inhibition of autophagy with chemotherapy might be a viable therapeutic avenue for BRAF wild-type melanomas, targeted therapies that attenuate ER stress may prove a more effective treatment strategy for BRAF mutant melanomas (12, 18, 19).

To date, several markers of autophagy, including LC3 and Beclin 1, have been identified as potential prognostic biomarkers for melanoma. Under normal homeostatic conditions, exogenous LC3 is cytoplasmic but upon autophagy induction becomes conjugated to phosphatidylethanolamine (PE) to form the membrane bound form LC3-II, thus acting as a marker of autophagy induction (20). Increased immunohistochemical expression of LC3 has been shown in malignant melanomas compared to benign nevi (21) and is associated with the development of metastatic disease and poorer outcomes (22). In addition, studies of Beclin 1 expression suggest its’ downregulation parallels melanoma disease stage progression, further supporting a role for autophagy in tumor invasion and metastasis (23, 24). However, although the expression of LC3 provides an indication of autophagy status in melanoma, it is important to note that conversion of LC3-I to LC3-II is a dynamic process, thus limiting the capacity of endogenous LC3 expression as an accurate biomarker of autophagy status and importantly, the reflection of autophagic flux (15). Moreover, although reported to be downregulated in melanoma, there is also conflicting evidence of Beclin 1 overexpression in advanced melanoma, thus questioning its expression as a reliable prognostic biomarker (25).

Sequestosome1/SQSTM1 is a scaffold protein that shuttles ubiquitinated proteins into the autophagosome, later degraded along with other autophagosomal contents upon fusion with a lysosome. Impairment of autophagy is therefore reflected by an associated accumulation of p62, a process reported to be a key to the onset of tumorigenesis (17). Conversely, decreased levels of p62 reflect active autophagy, as observed in advanced stage melanomas where autophagy is commonly reactivated to enhance tumor survival (Figure 1A). Data from our lab have further defined p62 expression as a prognostic biomarker for melanoma where a stepwise increase in expression is observed in early AJCC stage melanomas (increased above basal levels in benign nevi and reflecting deregulated autophagy) but which is subsequently decreased in advanced metastatic tumors, consistent with the reactivation of autophagy and its paradoxical role in cancer [Figures 1B,C; (26)]. Furthermore, univariate analysis showed a significantly increased risk of metastasis in AJCC stage II tumors with low p62 expression (<20% median p62 expression) compared to those with high expression (>20% p62 expression) [Figure 1D; (26)]. Moreover, since there was no association with Breslow depth or tumor ulceration, p62 expression defines an independent stratifying variable from AJCC staging prognosticators. Collectively, these data highlight p62 as a novel independent prognostic biomarker for AJCC stage II melanomas, providing a powerful tool for refining the risk of disease progression and enabling earlier patient therapeutic intervention. In addition, p62 expression may represent a companion biomarker of response to autophagy modulation in vivo, an important concept in view of emerging autophagy modulator therapies (27) and their potential to improve overall clinical outcome for patients with metastatic melanoma.

FIGURE 1
www.frontiersin.org

Figure 1. p62 expression is a prognostic biomarker for AJCC stage II melanomas. (A) Schematic of the paradoxical role of autophagy in melanoma in the context of p62 expression; impairment of autophagy drives tumorigenesis of early stage melanomas reflected by p62 accumulation, whereas decreased levels of p62 seen in advanced disease reflect autophagy reactivation. (B) Mean % p62 expression in a cohort of eventual AJCC stage I, II, III, and IV melanomas or benign nevi after a minimum 5-year follow-up. Each point represents the mean % of p62 positive cells. Horizontal lines representing median p62 expression levels indicate an increase in median p62 expression levels between benign nevi and AJCC stage I or II melanomas and a relative decrease in expression in advanced AJCC stages III and IV tumors (Kruskal–Wallis P < 0.0001) (26). (C) Photomicrographs of immunohistochemical p62 expression and mean % in a melanocytic nevus or an eventual AJCC stage I, II, or IV melanoma. Scale bar = 100 μm. (D) Univariate analysis of mean p62 expression in AJCC stage II primary tumors demonstrating an increased risk of metastasis in tumors expressing >20% p62 [Log-Rank (Mantel–Cox) P = 0.031, HR 2.29 (95% CI 1.08–4.86)], and highlighting the potential of p62 as a prognostic biomarker (26).

Activating molecule in Beclin 1-regulated protein 1 (AMBRA1) is a component of the Beclin 1/VPS34 complex and involved in the formation of PI3K rich membranes during the nucleation phase of autophagy [Figure 2A; (28)]. As a key autophagy initiating regulatory protein, AMBRA1 represents a potential marker of autophagy induction as well as a possible therapeutic target for autophagy inhibition. However, in addition to its functional role in autophagy, a growing body of evidence supports a role for AMBRA1 in cellular differentiation (29, 30) including in the early differentiation of neuronal stem cells in which autophagy is activated to fulfill the high energy demands of this process (28, 31). In line with these findings, we have recently demonstrated the role of AMBRA1 in epidermal differentiation with the expression in vivo increasing in line with keratinocyte differentiation from the basal layer of the epidermis to the uppermost layer, the stratum corneum (32). Unlike p62, however, the expression of AMBRA1 in primary melanomas is variable and as such its value as a tumoral biomarker remains undefined. Strikingly, however, our recent data demonstrate the decreased or even complete loss of AMBRA1 expression in the epidermis overlying many AJCC stage I melanomas (Figure 2B), which did not correlate with the degree of epidermal invasion and was not observed in benign nevi (32). These data suggest that the expression of AMBRA1 in the melanoma microenvironment may have prognostic potential. Univariate analysis of an initial cohort of 129 all AJCC stage melanomas further revealed decreased or loss of epidermal AMBRA1 expression was significantly associated with decreased disease-free survival, with stratification for AJCC stage I disease, additionally revealing epidermal AMBRA1 expression as a putative biomarker of disease progression [Figure 2C; (32)]. Again, there was no correlation with Breslow depth suggesting, such as p62, that epidermal AMBRA1 expression is also a biologically distinct marker for AJCC stage I melanomas. This is a striking finding considering that these tumors are normally regarded as low risk, with currently no alternative means of identifying specific individuals whose tumors are likely to progress.

FIGURE 2
www.frontiersin.org

Figure 2. Loss of epidermal AMBRA1 identifies a high-risk AJCC stage I melanoma subgroup. (A) Schematic representation of the autophagy pathway highlighting the role of AMBRA1 in the nucleation phase of autophagy and indicating interplay of p62. (B) Representative immunohistochemistry images of epidermal AMBRA1 expression depicting maintained (top image) or loss of AMBRA1 expression (bottom image) in the epidermis overlying AJCC stage I melanomas. Loss of epidermal AMBRA1 expression overlying the tumor tissue creates a “watershed” area, where the epidermis distant to the tumor reveals a normal pattern of AMBRA1 expression. Scale bar = 100 μm. (C) Kaplan–Meier curve showing decreased 7-year disease-free survival in 51 AJCC stage I tumors where epidermal AMBRA1 was decreased or lost as compared with 22 tumors where AMBRA1 expression was maintained [Log-Rank (Mantel–Cox) test P < 0.03, HR 4.3 (95% CI 1.14–16.51)]. Epidermal AMBRA1 expression of each tumor was recorded as being either maintained, decreased, or lost based on the perceived degree of loss of epidermal AMBRA 1 expression overlying the tumor bulk compared to normal epidermis within the same section.

Since the current and universally adopted AJCC staging system is unable to identify the risk of disease progression in seemingly “low risk” early stage melanomas, such tumors are only identified after the onset of metastatic disease progression, at which point treatment options are limited and frequently ineffective. Critically, identifying, refining, and validating prognostic biomarkers for early stage melanomas such as the proposed biomarkers of autophagy will thus enable the identification of high-risk tumor subgroups. Both p62 and AMBRA1 expression exemplify how autophagy can be harnessed as prognostic biomarkers for melanoma, each providing clinically relevant information over and above AJCC staging, which in particular will be useful for refining the risk of melanoma progression in patients with AJCC stage I or II melanomas. Ultimately, further validation of these biomarkers will allow application in a clinical context, facilitating both earlier therapeutic intervention and the refinement of personalized therapies for malignant melanoma to improve clinical outcome and the prevention of premature loss of life.

Author Contributions

DT: main author of the paper and corresponding author involved in all aspects of authorship. RE: substantial contributions to the acquisition, analysis, and interpretation of data for the work including production of figures for the paper. PL: senior author, contribution to the analysis of data and the writing of the manuscript; accountable for all aspects of the work. All the authors have undertaken final approval of the final manuscript version to be published.

Conflict of Interest Statement

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

DT is sponsored by a fellowship from The British Skin Foundation, RE and PL are supported by research grants from Melanoma Focus, North Eastern Skin Research Fund, and The Newcastle Healthcare Charity.

References

1. Lens MB, Dawes M. Global perspectives of contemporary epidemiological trends of cutaneous malignant melanoma. Br J Dermatol (2004) 150(2):179–85. doi:10.1111/j.1365-2133.2004.05708.x

PubMed Abstract | CrossRef Full Text | Google Scholar

2. Cichorek M, Wachulska M, Stasiewicz A, Tyminska A. Skin melanocytes: biology and development. Postepy Dermatol Alergol (2013) 30(1):30–41. doi:10.5114/pdia.2013.33376

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Gogas H, Eggermont AM, Hauschild A, Hersey P, Mohr P, Schadendorf D, et al. Biomarkers in melanoma. Ann Oncol (2009) 20(Suppl 6):vi8–13. doi:10.1093/annonc/mdp251

CrossRef Full Text | Google Scholar

4. McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M, Clark GM, et al. REporting recommendations for tumor MARKer prognostic studies (REMARK). Nat Clin Pract Urol (2005) 2(8):416–22. doi:10.1038/ncponc0252

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Gould Rothberg BE, Bracken MB, Rimm DL. Tissue biomarkers for prognosis in cutaneous melanoma: a systematic review and meta-analysis. J Natl Cancer Inst (2009) 101(7):452–74. doi:10.1093/jnci/djp038

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Balch CM, Gershenwald JE, Soong SJ, Thompson JF, Atkins MB, Byrd DR, et al. Final version of 2009 AJCC melanoma staging and classification. J Clin Oncol (2009) 27(36):6199–206. doi:10.1200/JCO.2009.23.4799

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Checinska A, Soengas MS. The gluttonous side of malignant melanoma: basic and clinical implications of macroautophagy. Pigment Cell Melanoma Res (2011) 24(6):1116–32. doi:10.1111/j.1755-148X.2011.00927.x

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Corazzari M, Fimia GM, Lovat P, Piacentini M. Why is autophagy important for melanoma? Molecular mechanisms and therapeutic implications. Semin Cancer Biol (2013) 23(5):337–43. doi:10.1016/j.semcancer.2013.07.001

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Yang Z, Klionsky DJ. An overview of the molecular mechanism of autophagy. Curr Top Microbiol Immunol (2009) 335:1–32. doi:10.1007/978-3-642-00302-8_1

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Mathew R, White E. Autophagy in tumorigenesis and energy metabolism: friend by day, foe by night. Curr Opin Genet Dev (2011) 21(1):113–9. doi:10.1016/j.gde.2010.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Ma XH, Piao S, Wang D, McAfee QW, Nathanson KL, Lum JJ, et al. Measurements of tumor cell autophagy predict invasiveness, resistance to chemotherapy, and survival in melanoma. Clin Cancer Res (2011) 17(10):3478–89. doi:10.1158/1078-0432.CCR-10-2372

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Armstrong JL, Corazzari M, Martin S, Pagliarini V, Falasca L, Hill DS, et al. Oncogenic B-RAF signaling in melanoma impairs the therapeutic advantage of autophagy inhibition. Clin Cancer Res (2011) 17(8):2216–26. doi:10.1158/1078-0432.CCR-10-3003

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Cantwell-Dorris ER, O’Leary JJ, Sheils OM. BRAFV600E: implications for carcinogenesis and molecular therapy. Mol Cancer Ther (2011) 10(3):385–94. doi:10.1158/1535-7163.MCT-10-0799

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Davies H, Bignell GR, Cox C, Stephens P, Edkins S, Clegg S, et al. Mutations of the BRAF gene in human cancer. Nature (2002) 417(6892):949–54. doi:10.1038/nature00766

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Soengas MS, Lowe SW. Apoptosis and melanoma chemoresistance. Oncogene (2003) 22(20):3138–51. doi:10.1038/sj.onc.1206454

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Gray-Schopfer VC, da Rocha Dias S, Marais R. The role of B-RAF in melanoma. Cancer Metastasis Rev (2005) 24(1):165–83. doi:10.1007/s10555-005-5865-1

CrossRef Full Text | Google Scholar

17. Lee JH, Choi JW, Kim YS. Frequencies of BRAF and NRAS mutations are different in histological types and sites of origin of cutaneous melanoma: a meta-analysis. Br J Dermatol (2011) 164(4):776–84. doi:10.1111/j.1365-2133.2010.10185.x

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Maddodi N, Huang W, Havighurst T, Kim K, Longley BJ, Setaluri V. Induction of autophagy and inhibition of melanoma growth in vitro and in vivo by hyperactivation of oncogenic BRAF. J Invest Dermatol (2010) 130(6):1657–67. doi:10.1038/jid.2010.26

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Corazzari M, Rapino F, Ciccosanti F, Giglio P, Antonioli M, Conti B, et al. Oncogenic BRAF induces chronic ER stress condition resulting in increased basal autophagy and apoptotic resistance of cutaneous melanoma. Cell Death Differ (2015) 22(6):946–58. doi:10.1038/cdd.2014.183

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Tanida I, Ueno T, Kominami E. LC3 and autophagy. Methods Mol Biol (2008) 445:77–88. doi:10.1007/978-1-59745-157-4_4

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Lazova R, Klump V, Pawelek J. Autophagy in cutaneous malignant melanoma. J Cutan Pathol (2010) 37(2):256–68. doi:10.1111/j.1600-0560.2009.01359.x

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Lazova R, Camp RL, Klump V, Siddiqui SF, Amaravadi RK, Pawelek JM. Punctate LC3B expression is a common feature of solid tumors and associated with proliferation, metastasis, and poor outcome. Clin Cancer Res (2012) 18(2):370–9. doi:10.1158/1078-0432.CCR-11-1282

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Miracco C, Cevenini G, Franchi A, Luzi P, Cosci E, Mourmouras V, et al. Beclin 1 and LC3 autophagic gene expression in cutaneous melanocytic lesions. Hum Pathol (2010) 41(4):503–12. doi:10.1016/j.humpath.2009.09.004

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Sivridis E, Koukourakis MI, Mendrinos SE, Karpouzis A, Fiska A, Kouskoukis C, et al. Beclin-1 and LC3A expression in cutaneous malignant melanomas: a biphasic survival pattern for beclin-1. Melanoma Res (2011) 21(3):188–95. doi:10.1097/CMR.0b013e328346612c

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Hara Y, Nakamura M. Overexpression of autophagy-related beclin-1 in advanced malignant melanoma and its low expression in melanoma-in-situ. Eur J Dermatol (2012) 22(1):128–9. doi:10.1684/ejd.2011.1562

CrossRef Full Text | Google Scholar

26. Ellis RA, Horswell S, Ness T, Lumsdon J, Tooze SA, Kirkham N, et al. Prognostic impact of p62 expression in cutaneous malignant melanoma. J Invest Dermatol (2014) 134(5):1476–8. doi:10.1038/jid.2013.497

CrossRef Full Text | Google Scholar

27. Armstrong JL, Hill DS, McKee CS, Hernandez-Tiedra S, Lorente M, Lopez-Valero I, et al. Exploiting cannabinoid-induced cytotoxic autophagy to drive melanoma cell death. J Invest Dermatol (2015) 135(6):1629–37. doi:10.1038/jid.2015.45

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Fimia GM, Di Bartolomeo S, Piacentini M, Cecconi F. Unleashing the Ambra1-Beclin 1 complex from dynein chains: Ulk1 sets Ambra1 free to induce autophagy. Autophagy (2011) 7(1):115–7. doi:10.4161/auto.7.1.14071

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Hamanaka RB, Chandel NS. Mitochondrial metabolism as a regulator of keratinocyte differentiation. Cell Logist (2013) 3(1):e25456. doi:10.4161/cl.25456

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Hamanaka RB, Glasauer A, Hoover P, Yang S, Blatt H, Mullen AR, et al. Mitochondrial reactive oxygen species promote epidermal differentiation and hair follicle development. Sci Signal (2013) 6(261):ra8. doi:10.1126/scisignal.2003638

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Vazquez P, Arroba AI, Cecconi F, de la Rosa EJ, Boya P, de Pablo F. Atg5 and Ambra1 differentially modulate neurogenesis in neural stem cells. Autophagy (2012) 8(2):187–99. doi:10.4161/auto.8.2.18535

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Tang D, Greenwood A, Carling E, Horswell S, Lovat P, Ellis RA. Epidermal AMBRA1 and Loricrin as Novel Prognostic Biomarkers for Melanoma. BSID Annual Meeting 2016. Dundee, Scotland: Wiley-Blackwell (2016).

Google Scholar

Keywords: autophagy biomarkers, malignant melanoma, Ambra1, p62, prognostic biomarkers

Citation: Tang DYL, Ellis RA and Lovat PE (2016) Prognostic Impact of Autophagy Biomarkers for Cutaneous Melanoma. Front. Oncol. 6:236. doi: 10.3389/fonc.2016.00236

Received: 28 September 2016; Accepted: 24 October 2016;
Published: 09 November 2016

Edited by:

Patrizia Agostinis, State University of Leuven, Belgium

Reviewed by:

Boris Zhivotovsky, Karolinska Institutet, Sweden
Esther Hoste, Ghent University, Belgium

Copyright: © 2016 Tang, Ellis and Lovat. 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) or licensor 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: Diana Y. L. Tang, diana.tang@ncl.ac.uk

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.