|Year : 2019 | Volume
| Issue : 3 | Page : 325-335
Cutaneous malignant melanoma and targeted therapy based on the biomarkers
Department of General Surgery, Care Hospital, Chennai, Tamil Nadu, India
|Date of Submission||15-Sep-2018|
|Date of Decision||09-Apr-2019|
|Date of Acceptance||04-Aug-2019|
|Date of Web Publication||04-Dec-2019|
Care Hospital, Villivakkam, Chennai - 603 203, Tamil Nadu
Source of Support: None, Conflict of Interest: None
Malignant melanoma is the most aggressive form of cutaneous malignancy. It accounts for more than 75% of cancer-related deaths among cutaneous malignancies. It accounts for <5% of cutaneous malignancy. Numerous biomarkers are used in malignant melanoma with varying clinical applications, including diagnostic purposes, prognosis, therapeutic purpose, and targeted therapy against melanoma. Systemic chemotherapy in malignant melanoma has little benefit compared to immunotherapy and targeted therapy. The observed overall survival with systemic chemotherapy is much less compared with targeted therapy in advanced or metastatic melanoma. Various targeted therapies are currently used in melanoma treatment including BRAF inhibitors such as vemurafenib and dabrafenib; MEK inhibitors such as trametinib; anti-CTLA-4 antibodies such as ipilimumab; and anti-programmed cell death 1 antibodies such as nivolumab, pembrolizumab, and pidilizumab. This study discusses the role of biomarkers and targeted therapies based on the biomarker.
Keywords: Anti-CRLA-4 antibodies, anti-programmed cell death 1 therapy, biomarkers, BRAF inhibitors, MEK inhibitors, melanoma, targeted therapy
|How to cite this article:|
Pandiaraja J. Cutaneous malignant melanoma and targeted therapy based on the biomarkers. Indian J Med Paediatr Oncol 2019;40:325-35
|How to cite this URL:|
Pandiaraja J. Cutaneous malignant melanoma and targeted therapy based on the biomarkers. Indian J Med Paediatr Oncol [serial online] 2019 [cited 2020 Jul 8];40:325-35. Available from: http://www.ijmpo.org/text.asp?2019/40/3/325/272248
| Introduction|| |
Malignant melanoma is the most aggressive form of cutaneous malignancy. It accounts for more than 75% of cancer-related deaths among cutaneous malignancies. It accounts for <5% of cutaneous malignancy. It mainly arises from melanocytes. Sometimes, it is very difficult to differentiate between benign nevi from malignant melanoma. Numerous biomarkers are used in malignant melanoma with varying clinical applications, including diagnostic purposes, prognosis, therapeutic purpose, and targeted therapy against melanoma. Surgical excision is the primary treatment for cutaneous malignancy in early stage of melanoma, but in advanced stage, targeted therapy and immunotherapy play a significant role.
| Importance of Biomarkers in Melanoma|| |
The incidence of melanoma is rising over the past few decades. It is one of the malignancies which showed increased incidence across the world. There are various causes for the increasing incidence of melanomas such as prolonged exposure of ultraviolet (UV) rays, increased awareness of melanoma, and early detection of the malignancy. Now, recent evidence showed that there is a significant increase in the incidence of melanomas all over the world. In the United States, the estimated death due to melanoma was 9710 in 2014. Melanomas are most common in young adult age group of 25–29 years. The 5-year survival in early stage (98%) of melanoma is much higher than advanced or metastatic disease (15%).
The fall of 5-year survival in advanced or metastatic stage is due to the late diagnosis or early spread of the tumor. Earlier diagnosis in melanoma has a significant survival advantage compared to late diagnosis. In significant proportion of patients progress to advanced disease, even though they are treated early. The progression to advanced disease can be halted with targeted therapy against molecular biomarkers.
| Etiology of Melanoma|| |
It can arise from a preexisting nevus or developed from melanocytes following UV radiation exposure or immunosuppression. Malignant melanoma can be classified as cutaneous and noncutaneous malignant melanoma. The etiology of both cutaneous and noncutaneous malignant melanoma is different. Sunlight exposure with UV radiation is considered a cause for cutaneous malignant melanoma, but noncutaneous malignant melanomas such as anorectal melanoma and melanoma arising from choroid plexus cannot be explained with the above cause.
| Classification of Melanoma|| |
Melanoma can be classified based on the following parameters:
- Based on the type of melanoma
- Lentiginous malignant melanoma
- Superficial spreading melanoma
- Nodular melanoma.
- Acral lentiginous melanoma
- Based on organ involvement
- Cutaneous melanoma
- Mucous melanoma
- Ocular melanoma.
| Prognostic Factors in Melanoma|| |
The following are considered important prognostic factors in melanoma, which includes depth of invasion, nodal metastasis, mitotic index, presence of ulceration, location of melanoma, type of melanoma and molecular markers of melanoma.
Melanoma detected at a later stage or advanced stage has poor prognosis compared to early stage. In the above-mentioned prognostic factors, only few factors can be modified to improve better outcome to the patient. Molecular markers are one of the prognostic factors that can be intervened to improve prognosis. Molecular markers and their therapeutic target are one of the factors that can be modified for improved survival and outcome. Now, considerable research work is going on to identify molecular prognostic markers and targeted therapy against that prognostic factors.
| Management of Melanoma|| |
1. Locoregional management
Locoregional management of melanoma depends on the depth of involvement and lymph node involvement. TNM staging, clinical staging and pathological staging highlighted from [Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6].
|Table 2: TNM classification of malignant melanoma: Regional lymph node (N)|
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|Table 4: TNM classification of malignant melanoma: M stage based on serum lactate dehydrogenase levels|
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|Table 5: TNM classification of malignant melanoma: Clinical staging system|
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|Table 6: TNM classification of malignant melanoma: Pathological staging system|
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Depth of melanoma management
1. Melanoma in situ 0.5 cm surrounding margin
2. Melanoma <2 mm thickness 1 cm clear margin
3. Melanoma >2 mm thickness 2 cm cleat margin,
2. Lymph node management
The management of lymph node in malignant melanoma depends on the status of lymph node. In clinically negative lymph node should undergo sentinel lymph node biopsy and positive lymph node should undergo lymphadenectomy.
3. Systemic therapy for metastatic melanoma
A. Cytotoxic chemotherapy
Dacarbazine, hydroxyurea, temozolomide, taxes, fotemustine, and platinum derivatives are the accepted treatment options for advanced or metastatic melanomas by the Food and Drug Administration (FDA). The problems with the above-said agents are higher toxicity and it does not improve the overall survival or disease-free survival.
| Melanoma Biomarkers and Its Use|| |
Biomarkers are a group of proteins, enzymes, hormones, and growth factors used between tumor and host to identify diagnosis, treatment, and prognosis. Biomarkers helps in diagnosis, differentiation, prognosis and management of malignancy. Examples of biomarkers include receptors such as estrogens receptor, progesterone receptor, and androgen receptor; growth factors such as vascular endothelial growth factor (VEGF) and human epidermal growth factor; and enzymes such as lactate dehydrogenase (LDH).
Apart from diagnosis, biomarkers also help in treatment purposes such as C-kit receptor antagonist imatinib, estrogen receptor (ER) antagonist tamoxifen, androgen receptor antagonist flutamide, and HER2/neu receptor antagonist trastuzumab. Routine use of biomarkers in melanoma is difficult, because it is a heterogeneous group of disorder with multiple defects or molecular mutation involved in various cellular processes such as cell signaling, chemotaxis, cell adhesion, cell migration, cell cycle regulation, cell differentiation, and cell apoptosis. Because of multiple gene mutation or defect, till now, a single biomarker is not identified as an ideal marker for diagnosis, differentiation, treatment, and prognosis. In today's clinical practice, a combination of biomarkers are used in diagnosis, treatment, and prognosis.
| A. Diagnostic Biomarkers|| |
Melanoma is one of the tumors which resembles histologically with other malignancies such as carcinoma, sarcoma, lymphoma, and neuroendocrine tumor. These tumors mimic melanoma histologically. These tumors must be differentiated from melanoma because of the different therapeutic approaches and prognosis.
The gp100 is otherwise called as premelanosome protein (pmel)/pmel 17or SILV. The gene involved in gp100 is PMEL. The major function of gp100 is formation of fibrillar matrix for polymerization of melanoma. It is mainly detected using immunohistochemical marker HMB-45. The HMB-45 is 100 kD glycoprotein. The sensitivity of this biomarker varies from 72% to 100% and the specificity varies from 91% to 100% based on various studies. HMB-45 has decreased specificity for malignant melanoma in sentinel lymph node compared to Melan-A. HMB-45 has poor sensitivity for detecting desmoplastic melanoma.
The Melan-A is otherwise called as an antigen recognized by T cells-1 or MART-1. The gene involved in Melan-A is MLANA. It is mainly located on the membrane protein located in melanosome, endoplasmic reticulum, and trans-Golgi network. It is mainly detected using immunohistochemical marker A103. The function of Melan-A in melanomas is expression, traffic, processing, and stability of pmel. The sensitivity of this biomarker varies from 81% to 100% and the specificity varies from 81% to 98%. Melan-A expressed in cytoplasm of melanocytes, retinal pigment epithelium and melanoma. The advantage of this Melan-A is that it is one of the most sensitive markers used in the detection of melanoma in frozen section. The problem with Melan-A is that it is less sensitive for the detection of metastatic melanoma compared with primary melanoma and it shows lower sensitivity for desmoplastic melanoma. The use of this Melan-A is sometimes difficult because it is also positive in adrenal cortical cells, Leydig cell, granulosa cells, and theca ovary cells.
It is an enzyme that involves part of the biosynthesis of melanin expressed in melanocytes. This enzyme is located in the melanosomes. The gene which involved in the synthesis of this biomarker is TYR. Tyrosinase is an important enzyme involved in the biosynthesis of melanin. It is mainly detected with the help of T311 in immunohistochemistry. Apart from immunohistochemistry, tyrosinase is also detected in the blood with the help of RT-PCR by detecting its mRNA levels. The problems with tyrosinase are it does not predict survival benefit and disease-free survival. The sensitivity and specificity of tyrosinase are 90%–100% and 97%–100%, respectively. It has a good sensitivity and specificity. The main advantage of tyrosinase is distinguishing melanoma from nonmelanocytic tumor. Like any other biomarkers in melanoma, it also has lower sensitivity in detecting desmoplastic melanoma.
4. Micophthalmia-associated transcription factor
Microphthalmia-associated transcription factor (MITF) is involved in melanocyte development and differentiation. It is essential for melanoblast differentiation from neural crest cells. The gene responsible for this factor is MITF gene. Apart from melanocytes, development and differentiation also regulates the transcription of pmel, Melan-A, and tyrosinase. MITF stain is positive in histiocytes, lymphocytes, fibroblast, Schwann cells, and smooth muscle cells. It has a sensitivity of 100% and a specificity of 87%–100%. It is detected with immunohistochemical marker C5 and D5. MITF lacks sensitivity and specificity for desmoplastic or spindle cell melanoma.
S100 is an important protein involved in the development of malignant melanoma. The reason behind the name S100 is that it is 100% solubility in saturated ammonium sulfate. It consists of a family of more than 21 proteins. S100 is also positive in glial cells, Schwann cells, melanocytes, Langerhans cells, and chondrocytes. The main function of S100 is regulation of cell growth, cell cycle, cell motility, calcium homeostasis, transportation and differentiation, inflammatory response, and regulation of cytoskeletal components. It is mainly detected with the help of polyclonal antibody against S100. It has a sensitivity of 89%–100% and a specificity of 70%–79%. The main problem with S-100 is that it is less sensitive in frozen section. The advantage of S100 is that it has greater sensitivity compared to the above-mentioned biomarkers in desmoplastic melanoma.
The gene responsible for SM5-1 is FN1. The main function of SM5-1 is that it contributes to cell adhesion and migration and metastasis. Apart from melanoma, it is also positive in dendritic cells, plasma cells, and myofibroblasts. Even though it has lower sensitivity in metastatic melanoma, compared with other markers, it has higher sensitivity. It is detected with the help of SM5-1 IgG1 antibodies. It has a sensitivity of 95%–99% and a specificity of 100%.
7. CSPG4/high molecular-weight melanoma-associated antigen
CSPG4 is otherwise called as a high molecular-weight melanoma-associated antigen (MAA). It is found in melanocytes, endothelial cells, and pericytes. It is produced from gene CSPG4. The main function of CSPG4 is that it promotes cell adhesion, motility and growth, and metastasis. CSPG4 has lower sensitivity for acral lentiginous melanoma. The CSPG4 has higher sensitivity (>90%) for metastatic lesions, better than Melan-A, S-100, and HMB-45. CSPG4 also has higher sensitivity for both primary and metastatic desmoplastic melanomas compared to HMB-45 and Melan-A. It is detected with the help of mouse monoclonal antibodies 763.74, VF1-TP41.2, and VT 80.12.
It helps distinguishing Spitz nevi from melanoma.
9. Other markers – MUM-1, Mel-5, melanocortin-1, and PNL2
Melan-A, HMB-45, and tyrosinase all show diminishing sensitivity with advanced stage of disease. None of these biomarkers are able to distinguish malignant from nonmalignant melanocytic lesions. Lewis et al. showed Melan-A, CD63 and Budding uninhibited by benzimidazoles1 homolog (BUBI) helps in distinguish between melanoma and non melanocytic lesion.
| B. Prognostic Markers|| |
1. Mitotic rate
Mitotic rate is one of the important prognostic markers useful in predicting the outcome of malignant melanomas. Tumors with a higher mitotic index have worst prognosis compared with tumors with a low mitotic index. Mitotic index otherwise predicts tumor turnover. Mitotic index is second most important marker for predicting survival in malignant melanoma.
Ki-67 is third most important marker for predicting survival in malignant melanoma. It is detected with the help of antibody Ki-67 (MIB-1 clone). It is produced from the gene MKI-67. The main function of Ki-67 in melanoma is nuclear antigen expression during proliferation. Patients who express higher Ki-67 showed worst prognosis compared with patients who express lower Ki-67. Ki-67 is a nuclear antigen and marker of proliferation, expressed during active phases of the cell cycle. Ki-67 correlate with prognosis of melanoma irrespective of thickness of melanoma.
MCAM is also known as MUC18 and CD146 molecule. It weighs approximately 113 kDa. MCAM is a cell adhesion molecule responsible for tumor cell migration and metastasis. It is produced from the gene MCAM. It is detected with the help of anti-MCAM antibody. Tumor showed higher expression, leading to poor prognosis in melanoma. It is expressed in endothelial and smooth muscle cells. MCAM is used as an independent predictor for prognosis in melanoma.
4. Metallothionein I and II
Metallothioneins belong to the family of heavy metal-binding low molecular-weight proteins. Both metallothionein I and II are responsible for homeostasis of heavy metal ions and protection against oxidative stress. Patients with higher expression showed poor prognosis compared with patients showing lower level. It is produced from the gene on chromosome 16q13. It is detected with the help of monoclonal antibodies against Metallothionein I and II. Overexpression of metallothioneins is associated with hematogenous metastasis.
CD10 is zinc-dependent endopeptidases. CD10 helps in degradation of encephalin which is known to suppress melanoma tumor growth. CD10-positive tumors are associated with a shorter 5-year survival.
| C. Serological Biomarkers|| |
- Current investigation phase
- Melanin-related metabolites
- Adhesion molecules
- Angiogenesis factors
- Markers on already use.
1. Lactate dehydrogenase
LDH is one of the strongest prognostic indicators for predicting tumor burden. LDH is mostly related to death of cell or high tumor turnover. Cytoplasmic enzyme helps in conversion of pyruvate to lactate. The cancer cells replicate via anaerobic or glycolytic mechanism. LDH elevation is due to upregulation of LDH by tumor cells and tumor cell necrosis, causing spillover of the enzymes in the bloodstream. Elevated LDH is associated with poor prognosis. The pitfall of LDH is not specific for malignancy, but also elevated in hemolysis, infection, infarction, and inflammation. LDH is less sensitive in early stages. The advantage of LDH is that it is indicative of tumor progression or metastatic relapse.
In S100 family proteins, S100B is particularly found in patients with melanoma. Elevated levels of S100B are associated with poor prognosis and decreased disease-free survival and decreased overall survival. The disadvantage of S100 is false positive seen in the brain, liver, and renal injury as well as infectious disease. It is used as both immunohistochemical and serological biomarkers. An elevated level of S100B is associated with advanced disease, metastasis, and relapse and decreased overall survival. S100B is not superior to LDH in monitoring prognosis and survival in Stage III and Stage IV disease. Another problem with S100B is that it is also elevated in other conditions such as ischemic stroke, cerebrovascular accident, and following bypass surgery.
3. C-reactive protein
C-reactive protein (CRP) belongs to the member of pentraxin protein family. It activates the complement pathway. It is an acute-phase reactant associated with inflammation infection and tissue injury. Elevated CRP has been associated with poor prognosis in melanoma.
4. Melanoma-inhibiting activity
Melanoma-inhibiting activity (MIA) is secreted by melanoma cells. MIA belongs to 11 kDa soluble protein. Actually, the name is a misnomer; MIA increased invasiveness and metastasis of melanoma cells. Serum level of MIA not only correlates with disease stage but also determines the response to therapy. MIA is not only elevated in melanoma, it also elevated in squamous cell carcinoma, pregnancy and in children. It is involved in cell-to-cell contact by interacting with the extracellular matrix.
5. Vascular endothelial growth factor
VEGF is known to induce tumor-associated angiogenesis. Only a few studies showed that VEGF was an independent prognostic marker, but most of the studies fail to confirm the above findings. Angiogenic cytokine regulates endothelial proliferation, differentiation, and survival. VEGF is not only secreted by melanoma cells but also secreted by lymphocytes and platelets. Its role as a biomarker in melanoma is questionable.
6. BRAF V600E mutation
Serum BRAF V600E DNA levels are not correlating with disease progression.
7. Serum miRNA
Circulating miRNA shows diagnostic and prognostic utility in different types of cancer, but yet to be investigated in melanoma.
Osteopontin is a phosphoprotein involved in suppression of apoptosis, tumor growth and recruitment of tumor promoting cells from bone marrow. The disadvantage of osteopontin is that it is also elevated in autoimmune diseases. Osteopontin in combination with S100 can help in differentiating patients who are likely to develop relapse and recurrence.
YKL-40 is a glycoprotein secreted by cancer cells, macrophages, and neutrophils.
Interleukin-8 (IL-8) is also known as CXLS. It is a chemokine produced by malignant cells. It can induce neutrophil chemotaxis and promote tumor angiogenesis. IL-8 correlates with tumor burden and stage of disease, overall survival, and response to therapy with BRAF inhibitor.
| Targeted Therapy Based on Biomarkers|| |
Systemic chemotherapy in malignant melanoma has little benefit compared to immunotherapy and targeted therapy. The observed overall survival in systemic chemotherapy is much less compared with targeted therapy in advanced or metastatic melanoma.
BRAF is a serine/threonine protein kinase that activates the mitogen-activated protein kinase (MAPK) pathway. BRAF is one of the common mutations detected in melanoma, but only 40%–50% of melanoma expresses BRAF mutation. In BRAF mutation, more than 90% of mutation occurs at codon 600 with replacement of glutamic acid for valine (BRAF V600E).
| A. Baf Inhibitors|| |
BAF is an oncoprotein involved in evasion of senescence, evasion of apoptosis, uncontrolled proliferation, tissue invasion, evasion of immune system, angiogenesis and metastasis. The above-said drugs are oncogenic BRAF V600 protein kinase inhibitors [Table 7]. BRAF inhibitors mainly used in BRAF positive unresectable or metastatic tumors. BRAF is located on the long arm of chromosome 7. The pathway for melanoma cell survival and proliferation is RAS-RAF-MEK-ERK [Figure 1]. BRAF inhibitor Vemurafenib showed improved survival in BRAF positive mutation.
Vemurafenib is approved for BRAF V600E mutation-positive metastatic melanoma. Vemurafenib is maximum beneficial in patient with stage M1c melanoma with increased lactate dehydrogenase concentration. After administration of vemurafenib, most of the tumors showed rapid response and tumor burden decreased in due course. It blocks both forms of BRAF mutation such as v600E (glutamine for valine) and V600k (lysine for valine).
Even though vemurafenib showed rapid response on tumor burden, the effect never lasted longer due to the development of resistance. The development of resistance in vemurafenib is due to either MAPK pathway dependent or MAPK pathway independent. BRAF mutation is more common in patients with cutaneous melanoma compared with other types of melanoma such as ocular and mucous melanoma. Tumor with less number of BRAF mutation rarely responds to BRAF inhibitors.
How to overcome the resistance?
To overcome the resistance to vemurafenib, we can use two methods. First, we can use a combination of BRAF inhibitors along with MEK inhibitors. Another method is intermittent use of vemurafenib.
Advantage of vemurafenib
Both vemurafenib and dabrafenib showed a significant impact on the treatment of metastatic melanoma to the brain. Both agents showed a significant improvement in BRAF-mutant melanoma with brain metastases than whole-brain irradiation for melanoma.
Dabrafenib is another BRAF inhibitor. The response rate to dabrafenib depends on the type of BRAF mutation. The response rate to BRAF V600E is approximately around 60% whereas BRAF V600K showed a response rate of around 13%. Hence, it is mandatory to check the type of BRAF mutation before giving dabrafenib as a targeted therapy. Like vemurafenib, dabrafenib also showed a significant improvement in response rate and progression-free survival in BRAF-mutant metastatic melanoma compared to conventional chemotherapy.
Sorafenib is also a kinase inhibitor that acts on inhibiting kinase at multiple targets. It acts by inhibiting VEGF receptors VEGFR1, VEGFR2, and VEGFR3 and the platelet-derived growth factor receptor PDGFR. It also acts by inhibiting FLT3, C-Kit, and BRAF. There are many studies conducted to detect the use of sorafenib in melanoma. The results of most of the studies showed sorafenib as a monotherapy or combined chemotherapy of limited use. According to the study, only few subpopulations showed benefit in response to sorafenib.
Adverse effects of BRAF inhibitors
The safety profile and side effect profile of both vemurafenib and dabrafenib are same. However, the incidence of photosensitivity is much higher in vemurafenib and pyrexia is more in dabrafenib. There are increased incidence of squamous cell carcinoma following administration of vemurafenib, particularly keratoacanthoma. The reason for the development of squamous cell carcinoma is due to paradoxical activation of the MAPK pathway in nonmutant BRAF (wild-type BRAF). Otherwise, both the drugs are safe for the administration of advanced or metastatic BRAF-mutant melanoma.
| B. Mek Inhibitors|| |
Trametinib is also a targeted therapy similar to vemurafenib and dabrafenib. It acts by inhibiting MEK which is the only known substrate of BRAF, which, in turn, leads to decreased cell signal and growth of malignant cells [Figure 1]. It is useful in both BRAF V600E/K-mutant and unresectable metastatic melanoma. The net effect of trametinib persists in patients who are already given chemotherapy or immunotherapy, but this effect is lost in patients who have already undergone BRAF inhibitor therapy. Hence, the selection of patients as well as screening of patients with mutation is very important before initiating trametinib therapy.
Selumetinib is an MEK inhibitor which is also involved in MAPK pathway. A Phase III trial using selumetinib as a monotherapy or combined with chemotherapy fails to improve disease-free survival or progression-free survival in patients with melanoma. As per the current recommendations, selumetinib is not recommended for advanced or metastatic melanoma.
Adverse effect of MEK inhibitors
MEK inhibitors are well tolerated compared with BRAF inhibitors. Most of the side effects of MEK inhibitors belong to cutaneous side effects such as rash and gastrointestinal side effects such as diarrhea and gastrointestinal upset.
Major limitations of BRAF inhibitors
Kinase inhibitors targeting RAS/RAF/MEK pathway are useful in only 40%–50% of patients with malignant melanoma, because BRAF mutation is detected only in 40%–50% of patients with melanoma.
| Mechanism of Combination Targeted Therapy|| |
Up regulation of melanoma antigen
After administration of BRAF inhibitors, most of the melanoma cells express melanoma antigens such as MART-1, gp100, c-kit, and class I MHC antigen. MEK inhibitors also increase melanoma antigen expression in both BRAF-mutant and BRAF nonmutant melanoma.
Increased tumor-infiltrating lymphocyte function
After administration of BRAF inhibitors, there is an increased expression of tumor-infiltrating lymphocyte in tumor specimen. Patients who develop resistance or disease progression following BRAF inhibitors showed decreased TILs, which was restored following combination therapy with BRAF and MEK inhibitors.
Block immune suppression
Evasion of immune system occurs following secretion of oncogenic protein by BRAF-mutant cells. BRAF inhibitors decrease these immune suppression agents, thereby increasing T cell infiltration.
Combined targeted therapy
The combination of BRAF and MEK inhibitors showed a significant improvement in progression-free survival and overall survival. Another advantage of combined therapy is delay in the onset of BRAF resistance and decreased toxicity including lower incidence of squamous cell carcinoma due to blocking of paradoxical MAPK activation.
Ipilimumab is an antibody against cytotoxic T-lymphocyte antigen-4 (CTLA-4) approved for unresectable metastatic melanoma [Table 8]. The main function of CTLA-4 is that it downregulates T cell against immune response against self-antigen and prevents autoimmunity. Ipilimumab helps in melanoma by blocking CTLA-4, thereby activating T cell against tumor antigen cell [Figure 2].
Advantage of ipilimumab
The action of ipilimumab depends on the CTLA-4 expression, rather than genetic mutation or expression of cells. Hence, it is effective in all tumors in a patient. The overall survival of this drug does not depends on age or sex of the patient, serum LDH level, stage of the disease, and previous chemotherapy.
The effect of ipilimumab persists even after cessation treatment. Retreatment after disease progression may reactivate the immune system, which was already primed by ipilimumab. Ipilimumab is administered at the rate of 3 mg/kg irrespective of the type of melanoma. Like BRAF inhibitors, ipilimumab also penetrates the blood–brain barrier and mounts an immune response against metastases.
Adverse effects of ipilimumab
Ipilimumab is the drug that mainly acts on the tumor based on the immune expression, so it is obvious that after administration of ipilimumab, immune reactions are expected. Most of the immune reactions affect the gastrointestinal tract, central nervous system, cutaneous lesions, and endocrine systems. Most of the adverse events following ipilimumab can be cured with oral or parenteral steroids for a period of 6–8 weeks.
The combination therapy with ipilimumab and vemurafenib has showed a significant increase in hepatic injury and hepatotoxicity. This hepatotoxicity is due to increased paradoxical activity of MAPK pathway in liver cells with wild-type BRAF following BRAF inhibitors.
d. Anti-PD-1 antibodies and Anti-PD-L1 antibodies
Immune system has constant surveillance on foreign bodies as well as tumor cells. However, the tumor cells have their own pathway or mechanism for evading immune system. Immune regulatory mechanism is one of the targeted therapies for melanoma. The programmed death 1 is an inhibitory T cell receptor, which has an effect on tumor cell through its ligand called programmed death ligand 1. Programmed cell death 1 (PD-1) is 288 amino acid-containing receptor [Figure 3].
Blockage of PD-1 or programmed death-ligand 1 (PD-L1) with antibodies has a significant effect tumor control because it specifically acts on tumor-specific antigen. Because of its specific effect on T cell, PD-1 and PD-L1 antibodies have a significantly higher effect on tumor cell with lesser side effects.
PD-1 downregulates T cells by sending inhibitory signals to its ligand PD-L1. Programmed death receptor 1 is expressed in variety of tissues including normal cells and numerous cancerous cells. The mechanism of PD-1 action depends on the inhibitory action on the T cells, thereby preventing T cell acts on the tumor cell. PD-1 plays an important role in immunity against chronic infection and tumor antigen.
Mechanism of action of anti-programmed cell death 1 and anti-programmed death-ligand 1
The tumor cells located in our body have to develop some mechanism to evade from our immune system. One of the most important evading systems is called adaptive immune resistance where tumor tries to express PD-L1 to protect tumor cells against cytotoxic T cell destruction.
Anti-PD-1 antibodies have higher tumor activity and lesser side effect compared with CTLA-4 inhibitors [Table 9] and [Table 10]. The antitumor response by anti-PD-1 depends on multiple factors, but most of the studies showed long-lasting antitumor effects. All anti-PD-1 antibodies developed from IgG4 humanized antibody.
Nivolumab is fully humanized monoclonal antibody against PD-1 approved by the FDA in metastatic or advanced melanoma. Another significant advantage of nivolumab is that it is effective even in tumor not responding to other drugs such as ipilimumab or BRAF inhibitors. Nivolumab showed highest tumor response in the dose of 3 mg/kg body weight. It showed a significant overall survival of 63% at 1 year and 48% at 2nd year.
Pembrolizumab is another monoclonal antibody used against PD-1. It also got approval in patients with advanced or metastatic melanoma and those patients who are not responding or pretreated with ipilimumab or BRAF inhibitors. The overall survival of patients with melanoma following pembrolizumab is slightly higher than nivolumab (69% vs. 63%).
Pidilizumab is another anti-PD-1 antibody. It is being evaluated for metastatic melanoma. It is compared with other anti-PD-1 antibodies. The overall response rate following administration is lower than other drugs.
As we already discussed, most of the anti-PD-1 antibodies are well tolerated because of being specific and more precise action. However, still there are reports of immune-related adverse events such as pneumonitis, diarrhea, and liver injury.
Biomarkers for anti-programmed cell death 1 therapy
The tumor response for the administration of anti-PD-1 is assessed using immunohistochemical analysis. Expression of PD-1 varies from tumor to tumor due to tumor microenvironment and immunogenicity. PD-1 cannot be used as prognostic marker, because melanoma with negative PD-1 also respond anti PD-1 therapy. Hence, based on the above findings, it is not mandatory to express PD-1 for giving anti-PD-1 therapy. Hence, PD-1 is not a marker for better or poor prognosis. The cutoff value of PD-1 expression varies from studies to studies. Most of the studies showed tumor expression of 5% or more than 5% of PD-1 expression for nivolumab or 1% for pembrolizumab treatment.
Combination of anti-programmed cell death 1 therapy with other immunotherapy therapy
The combination of anti-PD-1 with anti-CTLA-4 showed improvements and long-lasting response. This is because the combination of these two drugs acts on different mechanisms, so those tumors unlikely develop resistance. Another advantage of the combination of the above two drugs is that it maintains tumor response even after discontinuation of both drugs. Tumor with positive PD-1 express excellent response compared with tumor with negative PD-1 receptors.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Bertolotto C. Melanoma: From melanocyte to genetic alterations and clinical options. Scientifica (Cairo) 2013;2013:635203.
Watts JM, Kishtagari A, Hsu M, Lacouture ME, Postow MA, Park JH, et al.
Melanoma and non-melanoma skin cancers in hairy cell leukaemia: A surveillance, epidemiology and end results population analysis and the 30-year experience at memorial Sloan kettering cancer center. Br J Haematol 2015;171:84-90.
Landers TF, Ferng YH, McLoughlin JW, Barrett AE, Larson E. Antibiotic identification, use, and self-medication for respiratory illnesses among urban Latinos. J Am Acad Nurse Pract 2010;22:488-95.
Puig S, Marcoval J, Paradelo C, Azon A, Bartralot R, Bel S, et al.
Melanoma incidence increases in the elderly of Catalonia but not in the younger population: Effect of prevention or consequence of immigration? Acta Derm Venereol 2015;95:422-6.
Garnett E, Townsend J, Steele B, Watson M. Characteristics, rates, and trends of melanoma incidence among Hispanics in the USA. Cancer Causes Control 2016;27:647-59.
Rastrelli M, Alaibac M, Stramare R, Chiarion Sileni V, Montesco MC, Vecchiato A, et al.
Melanoma m (zero): Diagnosis and therapy. ISRN Dermatol 2013;2013:616170.
Scolyer RA, Long GV, Thompson JF. Evolving concepts in melanoma classification and their relevance to multidisciplinary melanoma patient care. Mol Oncol 2011;5:124-36.
Vogelsang M, Wilson M, Kirchhoff T. Germline determinants of clinical outcome of cutaneous melanoma. Pigment Cell Melanoma Res 2016;29:15-26.
Ascierto PA, Grimaldi AM, Anderson AC, Bifulco C, Cochran A, Garbe C, et al.
Future perspectives in melanoma research: Meeting report from the “Melanoma Bridge”, Napoli, December 5th
2013. J Transl Med 2014;12:277.
Han D, Thomas DC, Zager JS, Pockaj B, White RL, Leong SP. Clinical utilities and biological characteristics of melanoma sentinel lymph nodes. World J Clin Oncol 2016;7:174-88.
Luke JJ, Schwartz GK. Chemotherapy in the management of advanced cutaneous malignant melanoma. Clin Dermatol 2013;31:290-7.
Mayeux R. Biomarkers: Potential uses and limitations. NeuroRx 2004;1:182-8.
Strimbu K, Tavel JA. What are biomarkers? Curr Opin HIV AIDS 2010;5:463-6.
Watt B, van Niel G, Raposo G, Marks MS. PMEL: A pigment cell-specific model for functional amyloid formation. Pigment Cell Melanoma Res 2013;26:300-15.
Weinstein D, Leininger J, Hamby C, Safai B. Diagnostic and prognostic biomarkers in melanoma. J Clin Aesthet Dermatol 2014;7:13-24.
Ebstein F, Keller M, Paschen A, Walden P, Seeger M, Bürger E, et al.
Exposure to melan-A/MART-126-35 tumor epitope specific CD8(+)T cells reveals immune escape by affecting the ubiquitin-proteasome system (UPS). Sci Rep 2016;6:25208.
Choi J, Jee JG. Repositioning of thiourea-containing drugs as tyrosinase inhibitors. Int J Mol Sci 2015;16:28534-48.
Wellbrock C, Arozarena I. Microphthalmia-associated transcription factor in melanoma development and MAP-kinase pathway targeted therapy. Pigment Cell Melanoma Res 2015;28:390-406.
Dadras SS, Lin RJ, Razavi G, Kawakami A, Du J, Feige E, et al.
Anovel role for microphthalmia-associated transcription factor-regulated pigment epithelium-derived factor during melanoma progression. Am J Pathol 2015;185:252-65.
Bresnick AR, Weber DJ, Zimmer DB. S100 proteins in cancer. Nat Rev Cancer 2015;15:96-109.
Chen H, Xu C, Jin Q, Liu Z. S100 protein family in human cancer. Am J Cancer Res 2014;4:89-115.
Trefzer U, Chen Y, Herberth G, Hofmann MA, Kiecker F, Guo Y, et al.
The monoclonal antibody SM5-1 recognizes a fibronectin variant which is widely expressed in melanoma. BMC Cancer 2006;6:8.
Rolih V, Barutello G, Iussich S, De Maria R, Quaglino E, Buracco P, et al.
CSPG4: A prototype oncoantigen for translational immunotherapy studies. J Transl Med 2017;15:151.
Hale CS, Qian M, Ma MW, Scanlon P, Berman RS, Shapiro RL, et al.
Mitotic rate in melanoma: Prognostic value of immunostaining and computer-assisted image analysis. Am J Surg Pathol 2013;37:882-9.
Ladstein RG, Bachmann IM, Straume O, Akslen LA. Ki-67 expression is superior to mitotic count and novel proliferation markers PHH3, MCM4 and mitosin as a prognostic factor in thick cutaneous melanoma. BMC Cancer 2010;10:140.
Rapanotti MC, Campione E, Spallone G, Orlandi A, Bernardini S, Bianchi L. Minimal residual disease in melanoma: Circulating melanoma cells and predictive role of MCAM/MUC18/MelCAM/CD146. Cell Death Discov 2017;3:17005.
Gumulec J, Raudenska M, Adam V, Kizek R, Masarik M. Metallothionein-immunohistochemical cancer biomarker: A meta-analysis. PLoS One 2014;9:e85346.
Ho J, de Moura MB, Lin Y, Vincent G, Thorne S, Duncan LM, et al.
Importance of glycolysis and oxidative phosphorylation in advanced melanoma. Mol Cancer 2012;11:76.
Chaube B, Malvi P, Singh SV, Mohammad N, Meena AS, Bhat MK. Targeting metabolic flexibility by simultaneously inhibiting respiratory complex I and lactate generation retards melanoma progression. Oncotarget 2015;6:37281-99.
Fang S, Wang Y, Sui D, Liu H, Ross MI, Gershenwald JE, et al.
C-reactive protein as a marker of melanoma progression. J Clin Oncol 2015;33:1389-96.
Meral R, Duranyildiz D, Tas F, Camlica H, Yasasever V, Kurul S, et al.
Prognostic significance of melanoma inhibiting activity levels in malignant melanoma. Melanoma Res 2001;11:627-32.
Rajabi P, Neshat A, Mokhtari M, Rajabi MA, Eftekhari M, Tavakoli P. The role of VEGF in melanoma progression. J Res Med Sci 2012;17:534-9.
Russo A, Caltabiano R, Longo A, Avitabile T, Franco LM, Bonfiglio V, et al.
Increased levels of miRNA-146a in serum and histologic samples of patients with uveal melanoma. Front Pharmacol 2016;7:424.
Kumar S, Sharma P, Kumar D, Chakraborty G, Gorain M, Kundu GC. Functional characterization of stromal osteopontin in melanoma progression and metastasis. PLoS One 2013;8:e69116.
Kee D, McArthur G. Targeted therapies for cutaneous melanoma. Hematol Oncol Clin North Am 2014;28:491-505.
Evans MS, Madhunapantula SV, Robertson GP, Drabick JJ. Current and future trials of targeted therapies in cutaneous melanoma. Adv Exp Med Biol 2013;779:223-55.
Wong DJ, Ribas A. Targeted therapy for melanoma. Cancer Treat Res 2016;167:251-62.
Grimaldi AM, Simeone E, Festino L, Vanella V, Palla M, Ascierto PA. Novel mechanisms and therapeutic approaches in melanoma: Targeting the MAPK pathway. Discov Med 2015;19:455-61.
Hu-Lieskovan S, Mok S, Homet Moreno B, Tsoi J, Robert L, Goedert L, et al.
Improved antitumor activity of immunotherapy with BRAF and MEK inhibitors in BRAF (V600E) melanoma. Sci Transl Med 2015;7:279ra41.
Flaherty KT, Infante JR, Daud A, Gonzalez R, Kefford RF, Sosman J, et al.
Combined BRAF and MEK inhibition in melanoma with BRAF V600 mutations. N
Engl J Med 2012;367:1694-703.
Long GV, Stroyakovskiy D, Gogas H, Levchenko E, de Braud F, Larkin J, et al.
Combined BRAF and MEK inhibition versus BRAF inhibition alone in melanoma. N
Engl J Med 2014;371:1877-88.
Sullivan R, LoRusso P, Boerner S, Dummer R. Achievements and challenges of molecular targeted therapy in melanoma. Am Soc Clin Oncol Educ Book 2015;35:177-86.
Johnson DB, Flaherty KT, Weber JS, Infante JR, Kim KB, Kefford RF, et al.
Combined BRAF (Dabrafenib) and MEK inhibition (Trametinib) in patients with BRAFV600-mutant melanoma experiencing progression with single-agent BRAF inhibitor. J Clin Oncol 2014;32:3697-704.
Wagle N, Van Allen EM, Treacy DJ, Frederick DT, Cooper ZA, Taylor-Weiner A, et al.
MAP kinase pathway alterations in BRAF-mutant melanoma patients with acquired resistance to combined RAF/MEK inhibition. Cancer Discov 2014;4:61-8.
Queirolo P, Picasso V, Spagnolo F. Combined BRAF and MEK inhibition for the treatment of BRAF-mutated metastatic melanoma. Cancer Treat Rev 2015;41:519-26.
Menzies AM, Long GV. Dabrafenib and trametinib, alone and in combination for BRAF-mutant metastatic melanoma. Clin Cancer Res 2014;20:2035-43.
Camacho LH. CTLA-4 blockade with ipilimumab: Biology, safety, efficacy, and future considerations. Cancer Med 2015;4:661-72.
Mahoney KM, Freeman GJ, McDermott DF. The next immune-checkpoint inhibitors: PD-1/PD-L1 blockade in melanoma. Clin Ther 2015;37:764-82.
Tsai KK, Daud AI. The role of anti-PD-1/PD-L1 agents in melanoma: Progress to date. Drugs 2015;75:563-75.
Ott PA, Hodi FS, Robert C. CTLA-4 and PD-1/PD-L1 blockade: New immunotherapeutic modalities with durable clinical benefit in melanoma patients. Clin Cancer Res 2013;19:5300-9.
Das R, Verma R, Sznol M, Boddupalli CS, Gettinger SN, Kluger H, et al.
Combination therapy with anti-CTLA-4 and anti-PD-1 leads to distinct immunologic changes in vivo
. J Immunol 2015;194:950-9.
[Figure 1], [Figure 2], [Figure 3]
[Table 1], [Table 2], [Table 3], [Table 4], [Table 5], [Table 6], [Table 7], [Table 8], [Table 9], [Table 10]