Literature DB >> 26986135

Elevated Serum Leptin Levels are Associated With an Increased Risk of Sentinel Lymph Node Metastasis in Cutaneous Melanoma.

Junna Oba1, Wei Wei, Jeffrey E Gershenwald, Marcella M Johnson, Cynthia M Wyatt, Julie A Ellerhorst, Elizabeth A Grimm.   

Abstract

The metabolic hormone leptin has been implicated in the pathogenesis of various malignancies and may contribute to the high rate of cancer in obese individuals. We reported that leptin and its receptor are expressed by melanoma tumors and cell lines, and that leptin stimulates proliferation of cultured melanoma cells. Here, we tested the hypothesis that leptin contributes to early melanoma progression by assessing its association with sentinel node positivity in cutaneous melanoma patients. The study enrolled 72 patients who were scheduled to undergo lymphatic mapping and sentinel node biopsy. Fasting blood was obtained before surgery, and serum leptin levels were measured by enzyme-linked immunosorbent assay (ELISA) with a "raw" (assay value) and an "adjusted" value (raw value divided by body mass index). Leptin levels and other clinicopathologic parameters were compared between sentinel node positive and negative groups. Logistic regression models were used to predict sentinel node status using leptin and other relevant clinical parameters. The raw and adjusted leptin levels were significantly higher in the 15 patients with positive sentinel nodes. These findings could not be attributed to differences in body mass indices. Univariate models revealed raw leptin, adjusted leptin, Breslow thickness, and mitotic rate as significant predictors of sentinel node status. Leptin levels and Breslow thickness remained significant in multivariate models. Survival and follow-up analysis revealed more aggressive disease in diabetic patients. Elevated serum leptin levels predict sentinel node metastasis in melanoma. Validation of this finding in larger cohorts should enable better stratification of early stage melanoma patients.

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Year:  2016        PMID: 26986135      PMCID: PMC4839916          DOI: 10.1097/MD.0000000000003073

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


INTRODUCTION

With the growing epidemic of obesity in developed nations, considerable interest has been generated in the metabolic hormone leptin, a 16-kDa protein encoded by the OB (obese) gene. Upon caloric intake, leptin is secreted by adipocytes and detected as a satiety signal in the hypothalamus. Binding of leptin to its specific hypothalamic receptor in receptors ultimately activates endocrine pathways involved in energy expenditure.[1] Circulating leptin levels are positively correlated with body fat volume, and relatively higher levels of leptin are often seen in obese versus lean individuals, a finding attributed to leptin resistance.[2] Patients with type 2 diabetes also tend to have inappropriately elevated leptin levels, and women generally have higher levels than men.[3] In addition to its effects in feeding behavior and energy homeostasis, leptin regulates numerous other important biological processes, such as angiogenesis, cell proliferation, cell invasion, and inflammation.[4-6] Although the leptin receptor is predominantly expressed in hypothalamus, it is also expressed in various other human normal and neoplastic cells. Interaction of leptin with its receptor on endothelial cells or endothelial progenitor cells promotes angiogenesis[4,5] through nitric oxide production[7-9] and enhanced expression of vascular endothelial growth factor (VEGF), VEGF receptor 2, and fibroblastic growth factor-2.[10,11] Leptin has also been shown to promote cell proliferation and cell growth through its intracellular signaling pathways such as Janus kinase 2/signal transducer and activator of transcription 3, Ras/extracellular signal-regulated kinases 1/2, and phosphoinositide 3 kinase/protein kinase B/glycogen synthase kinase 3signaling cascades.[6] Leptin receptors have been described in various types of tumor cells, including breast, colon, endometrium, and others, and leptin has been implicated as a growth and invasion factor for these types of cancer.[12-15] Leptin has also been shown to enhance tumor cell invasion[16,17] and induce epithelial–mesenchymal transition.[18] Less well known is leptin's role as a proinflammatory adipokine. Leptin bears structural homology to type I cytokines and the leptin receptor belongs to the class I cytokine receptor family.[5,19] A wide range of proinflammatory functions for leptin has been published, including stimulation of prostaglandins and release of reactive oxygen species,[20,21] increasing T-cell-mediated immunity and Th1 cytokines but decreasing Th2 cytokines.[5] Interestingly, an inflammatory environment can enhance the progression of some tumor types, generating a wide range of studies related to leptin's potential role in obesity-related cancers.[22] We have previously reported that both leptin and its receptor are expressed by cutaneous melanoma tumors and cell lines.[23] In our study, melanoma cells responded to treatment with leptin by activating the mitogen-activated protein kinase pathway and by proliferating. Another study group reported in vivo findings that leptin treatment in mice-bearing B16F10 melanoma resulted in significantly heavier tumor weight compared with control treatment. They also observed significant increase in plasma concentration of nitric oxide metabolites in the leptin-treated group, and significant decrease in the leptin receptor antibody-treated group.[9] Furthermore, another group demonstrated that a low dose administration of neutralizing nanobody targeting leptin receptor led to the tumor size shrinkage in the mouse model.[24] The findings above implicate leptin in melanoma growth and progression and raise the possibility of an oncogenic autocrine loop.[25,26] Based on the data from our in vitro study and in vivo murine studies by other groups, we hypothesized that higher levels of leptin are associated with an increased risk of melanoma spread to sentinel lymph nodes (SN), the most likely regional nodes to contain metastatic disease if any are involved.[27] Several clinicopathological parameters have been shown to predict SN positivity, such as younger age, higher Breslow thickness, higher Clark level, increasing mitotic rate, tumor site (lower extremity and trunk), low tumor-infiltrating lymphocytes, satellitosis, and ulceration.[28-33] These parameters are mostly histopathological parameters. To our knowledge, there is no established serological surrogate marker to detect early SN metastasis. It would be beneficial if we could use a serological marker in combination with other histologic markers, such as Breslow thickness, to monitor the SN or regional lymph node metastasis and avoid invasive SN procedures for patients who are not in need. To test this hypothesis, we prospectively examined serum leptin levels in patients with cutaneous melanoma who were scheduled for SN biopsies, and correlated the findings with clinical outcomes. Here we report significantly higher leptin levels for the subset of patients with SN metastases compared to those with negative SNs.

PATIENTS AND METHODS

Patients

The study was approved by The University of Texas MD Anderson Cancer Center (MDACC) Institutional Review Board and conducted in accordance with Health Insurance Portability and Accountability Act guidelines. Informed consent was obtained from all study participants. Eligible patients included those who presented with stage I or II primary cutaneous melanoma, were within 8 weeks of biopsy or resection of the primary lesion, and had a SN biopsy scheduled at MDACC between December 2007 and July 2009. The body mass index (BMI), defined as the weight in kilograms divided by the square of the height in meters, was calculated for each patient upon enrollment. A fasting blood sample for leptin was obtained preoperatively on the morning of SN biopsy. The sample was clotted at room temperature, then centrifuged and separated for serum, which was stored at −80 °C until analysis. Before assay, samples were thawed at 4 °C overnight, and serum leptin levels were then measured in duplicate using the Quantikine Human Leptin ELISA Kit (R&D Systems, Minneapolis, MN) according to the manufacturer's protocol. Based on the data obtained, each patient was assigned a “raw” leptin value which was the mean assay value in units of ng/mL. Additionally, to account for the influence of obesity, an “adjusted” leptin value was calculated by converting the raw value to pg/mL and dividing by the BMI. Clinical information obtained for the study participants included gender, age, height, weight, Clark level, Breslow thickness, mitotic rate, ulceration, and prior history of diabetes.

Statistical Analysis

The association between sentinel lymph node status and leptin levels as well as other clinicopathologic parameters was assessed by Fisher's exact test or Wilcoxon rank sum test as appropriate. Univariate logistic regression models were used to predict SN status using leptin and the other clinical factors. The Cox proportional hazard model was used to analyze survival endpoints. In multivariate analyses, the raw and adjusted leptin level were assessed separately and a backward elimination procedure was used to identify a final model with only significant predictors remaining. Tests were 2-sided and P values of 0.05 or less were considered statistically significant. All statistical analyses were carried out using SAS version 9.3 (SAS Institute, Cary, NC).

RESULTS

Patient Characteristics

Patient characteristics are summarized in Table 1. A total of 72 patients, 38 men and 34 women, were included in this study. Patient age ranged from 32 to 89 years (median 53 years). Notably, 26 patients (36.1%) were obese, having a BMI 30 or greater, and 8 (11.1%) were diabetic. Of the 72 patients, 15 were SN positive and 57 were SN negative.
TABLE 1

Patient Characteristics

Patient Characteristics

Correlation of Leptin Levels With Sentinel Lymph Node Status

As shown in Table 2 and Figure 1, both raw and adjusted leptin levels were significantly higher in the patients with positive SN. For SN-positive patients, the mean raw leptin was 26.6 ng/mL vs 15.3 ng/mL for those with negative nodes (P = 0.041). Similarly, the average adjusted leptin in SN-positive patients was 845.0 compared to 503.6 for node-negative patients (P = 0.029). The mean BMI was virtually identical for the SN-positive and -negative groups (29.9 and 28.5, respectively), eliminating obesity as an explanation for higher leptin values in the SN-positive patients. As expected, Breslow thickness was also greater in patients with a positive SN (P = 0.004).
TABLE 2

Summary of Clinical Features by Sentinel Lymph Node Status

FIGURE 1

Box-plot analysis of raw and adjusted leptin levels in SN-negative and SN-positive melanoma patients. Data are presented as median values (solid horizontal lines within box-plots), 25th to 75th percentiles (lower and upper column borders), and maximum and minimum range (vertical lines)∗ Wilcoxon rank sum test.

Summary of Clinical Features by Sentinel Lymph Node Status Box-plot analysis of raw and adjusted leptin levels in SN-negative and SN-positive melanoma patients. Data are presented as median values (solid horizontal lines within box-plots), 25th to 75th percentiles (lower and upper column borders), and maximum and minimum range (vertical lines)∗ Wilcoxon rank sum test. In a univariate logistic regression model, Breslow thickness, raw and adjusted leptin levels, and mitotic rate were significantly associated with positive sentinel lymph nodes (Table 3). The odds ratio for raw leptin was modest (1.04) but was considerably more robust for adjusted leptin (1.19). In multivariate logistic regression analysis, 2 methods were available for adjustment of leptin for BMI, the first being inclusion of raw leptin and BMI in the model (Table 4, Model 1b) and the second being the use of adjusted leptin without BMI (Table 4, Model 2). Multivariate analysis otherwise included all cataloged variables. Upon first analysis using Model 1, raw leptin alone was not found to predict SN status (Table 4, Model 1a). However, if BMI was returned to the model, the findings for raw leptin became significant and the odds ratio improved slightly from 1.04 to 1.06, suggesting that leptin predicted SN positivity only after adjustment for obesity. This was confirmed by the multivariate logistic regression Model 2 using adjusted leptin values, which were already corrected for BMI. In this case serum adjusted leptin levels independently predicted SN positivity. As in the univariate analysis, the odds ratio for adjusted leptin was superior to that of raw leptin (1.17 vs 1.04 or 1.06).
TABLE 3

Univariate Logistic Regression Model Predicting Probability of Positive SN

TABLE 4

Multivariate Logistic Regression Models Predicting Probability of Positive SN

Univariate Logistic Regression Model Predicting Probability of Positive SN Multivariate Logistic Regression Models Predicting Probability of Positive SN

Survival and Clinical Course of Patients With Diabetes

Although survival was not an endpoint in this study, the data were examined for an association of raw or adjusted leptin with progression-free (PFS) or overall survival (OS). Median follow-up periods were 55.5 and 60.5 months for PFS and OS, respectively. No correlation was found between leptin and PFS or OS, likely due in part to the relatively small study population and the paucity of events (Table 6). Significant factors for PFS and OS were Breslow thickness, age, and diabetes (Table 6). Having higher Breslow thickness (P < 0.0001), being older (P = 0.03), or being diabetic (P = 0.0009) was significantly associated with shorter PFS; being older (P = 0.004) or diabetic (P = 0.002) was significantly associated with worse OS.
TABLE 6

Univariate Cox Proportional Hazard Model Results for PFS and OS by Patient Characteristics

As we observed this poor prognostic trend for diabetic patients, we further looked at each patient's clinical course (Table 5). All 8 diabetic patients had tumor thickness >1.0 mm, but only 2 of these patients had positive SNs, and both developed disease progression. Disease progression, defined as development of local recurrence, in-transit, regional, or distant metastasis, was observed in 7 out of the 8 patients, and 4 of them have died of distant metastasis (Table 5). Of the 4 diabetic patients that remain alive, 3 have progressed to stage IV disease. As diabetes can cause increased levels of leptin and increased BMI, and become a confounding factor, we examined if there is any difference in leptin levels or BMI between the nondiabetic and diabetic patients, but there was no significant difference in these levels between the 2 groups (Supplementary Table).
TABLE 5

Characteristics of the 8 Diabetic Patients in this Study

Characteristics of the 8 Diabetic Patients in this Study

DISCUSSION

The role of leptin and other metabolic hormones in the promotion of cancer growth and metastasis has become an important topic of research over the past several decades. In the present study, we provide evidence to support a role for leptin in the progression of cutaneous melanoma from its primary site to the regional draining lymph nodes. SN biopsy is now a widely used and standardized technique for patients with melanoma. Although the long-term clinical significance of SN metastasis in melanoma has been debated,[34-36] recent multi-institutional studies investigating >2000 patients with melanoma have revealed that SN status can be an independent predictor of survival,[34] and early surgical intervention for patients with positive SNs may improve disease-free and melanoma-specific survival in a subgroup of patients.[37] Interestingly, a study comparing the gene expression levels of immunoregulatory cytokines between tumor-negative vs tumor-positive SNs showed that tumor-positive SNs had significantly higher gene expression level of leptin compared with tumor-negative SNs.[38] Our study coincided with their observation, in that the serum level of leptin was significantly higher in the SN-positive group compared to the SN-negative group. Taken together, the SN-positive patient group has a higher serum protein and tumor gene expression level of leptin compared to the SN-negative group. These findings suggest that leptin has a potential as a tumor progression marker. Future studies will need to investigate whether tissue and serum expression levels are associated with each other. An interesting finding in our study is the fact that BMI was identical in SN-positive and -negative patients. We were thus unable to reconcile the differences in leptin levels based upon adipose volume. Furthermore, it was necessary to include BMI in the multivariate regression models in order for leptin to predict the SN status. Previous studies have demonstrated that circulating leptin levels exhibit a strong correlation with total body fat, but to a lesser degree with BMI.[39,40] These findings point to a secondary source of leptin that remains after accounting for adipose leptin. That source could well be the tumor cells themselves acting in an autocrine manner. In this regard, it would be interesting to immunostain the metastatic tumor cells for leptin to determine a potential correlation with circulating levels. Another interesting finding was that although the number of patients was small, patients with diabetes tended to have a worse prognosis, as 7 of 8 had disease progression. Four of these patients have already died of metastatic disease and 3 of the 4 that remain alive have progressed to distant metastasis. Univariate analysis for PFS and OS revealed diabetes to be significantly associated both with worse survival (Table 6). There are several reports addressing the higher risk of melanoma among individuals with diabetes,[41,42] but to our knowledge there has been no study comparing the aggressiveness of melanoma between diabetic and nondiabetic patients. Possible mechanisms include insulin resistance, hyperinsulinemia which might stimulate tumor growth by increasing insulin-like growth factors- I, obesity, and leptin.[42] As this study tested the serum levels at only 1 timepoint before surgery, we cannot exclude the possibility of greater variations in leptin levels over the clinical course of each patient. A prospective study with a larger cohort examining serum leptin levels at multiple follow-ups would enable us to determine if there is any increase or decrease in the level before or after disease progression, and if leptin can be used as a predictive marker. Univariate Cox Proportional Hazard Model Results for PFS and OS by Patient Characteristics Although tumor-derived leptin cannot currently be distinguished from adipose leptin, the measurement of total leptin levels adjusted for BMI might be a valuable surrogate for regional metastases and may be a biomarker for disease progression. Whereas opinions vary as to whether melanoma is an obesity-related cancer, these data support that maintenance of a normal body weight would be advisable for these patients.[43,44] Additionally, this study does not address the potential role of leptin in the pathogenesis of mucosal melanoma, a particularly aggressive form of this disease. As we have previously reported expression of leptin by spontaneous canine oral melanoma, the dominant form of this malignancy in dogs, examination of the human counterpart is warranted.[45] Finally, due to the relatively small number of study subjects and events, these data should be interpreted with caution, as odds ratios and P values, while positive, are modest. Future studies of the association of leptin, adjusted for BMI, with melanoma progression, and the role of diabetes in the clinical behavior of melanoma, will require larger patient numbers to confirm our findings and address leptin's role in distant metastasis and survival.
  44 in total

1.  Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adults.

Authors:  Eugenia E Calle; Carmen Rodriguez; Kimberly Walker-Thurmond; Michael J Thun
Journal:  N Engl J Med       Date:  2003-04-24       Impact factor: 91.245

2.  Final trial report of sentinel-node biopsy versus nodal observation in melanoma.

Authors:  Donald L Morton; John F Thompson; Alistair J Cochran; Nicola Mozzillo; Omgo E Nieweg; Daniel F Roses; Harold J Hoekstra; Constantine P Karakousis; Christopher A Puleo; Brendon J Coventry; Mohammed Kashani-Sabet; B Mark Smithers; Eberhard Paul; William G Kraybill; J Gregory McKinnon; He-Jing Wang; Robert Elashoff; Mark B Faries
Journal:  N Engl J Med       Date:  2014-02-13       Impact factor: 91.245

3.  Obesity and colon cancer: does leptin provide a link?

Authors:  Pär Stattin; Annekatrin Lukanova; Carine Biessy; Stefan Söderberg; Richard Palmqvist; Rudolf Kaaks; Tommy Olsson; Egil Jellum
Journal:  Int J Cancer       Date:  2004-03       Impact factor: 7.396

4.  Clinicopathologic predictors of sentinel lymph node metastasis in thin melanoma.

Authors:  Dale Han; Jonathan S Zager; Yu Shyr; Heidi Chen; Lynne D Berry; Sanjana Iyengar; Mia Djulbegovic; Jaimie L Weber; Suroosh S Marzban; Vernon K Sondak; Jane L Messina; John T Vetto; Richard L White; Barbara Pockaj; Nicola Mozzillo; Kim James Charney; Eli Avisar; Robert Krouse; Mohammed Kashani-Sabet; Stanley P Leong
Journal:  J Clin Oncol       Date:  2013-11-04       Impact factor: 44.544

5.  Prediction of survival in patients with thin melanoma: results from a multi-institution study.

Authors:  Andrea Maurichi; Rosalba Miceli; Tiziana Camerini; Luigi Mariani; Roberto Patuzzo; Roberta Ruggeri; Gianfranco Gallino; Elena Tolomio; Gabrina Tragni; Barbara Valeri; Andrea Anichini; Roberta Mortarini; Daniele Moglia; Giovanni Pellacani; Sara Bassoli; Caterina Longo; Pietro Quaglino; Nicola Pimpinelli; Lorenzo Borgognoni; Daniele Bergamaschi; Catherine Harwood; Odysseas Zoras; Mario Santinami
Journal:  J Clin Oncol       Date:  2014-07-07       Impact factor: 44.544

6.  Molecular characterization of inflammatory genes in sentinel and nonsentinel nodes in melanoma.

Authors:  Hitoe Torisu-Itakura; Jonathan H Lee; Randall P Scheri; Young Huynh; Xing Ye; Richard Essner; Donald L Morton
Journal:  Clin Cancer Res       Date:  2007-06-01       Impact factor: 12.531

Review 7.  Leptin: a multifunctional hormone.

Authors:  L Huang; C Li
Journal:  Cell Res       Date:  2000-06       Impact factor: 25.617

Review 8.  Leptin: structure, function and biology.

Authors:  Faming Zhang; Yanyun Chen; Mark Heiman; Richard Dimarchi
Journal:  Vitam Horm       Date:  2005       Impact factor: 3.421

Review 9.  Intracellular signalling pathways activated by leptin.

Authors:  Gema Frühbeck
Journal:  Biochem J       Date:  2006-01-01       Impact factor: 3.857

10.  Leptin signaling enhances cell invasion and promotes the metastasis of human pancreatic cancer via increasing MMP-13 production.

Authors:  Yingchao Fan; Yu Gan; Yuling Shen; Xiaojin Cai; Yanfang Song; Fangyu Zhao; Ming Yao; Jianren Gu; Hong Tu
Journal:  Oncotarget       Date:  2015-06-30
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Review 1.  Modifiable Host Factors in Melanoma: Emerging Evidence for Obesity, Diet, Exercise, and the Microbiome.

Authors:  Allison Betof Warner; Jennifer L McQuade
Journal:  Curr Oncol Rep       Date:  2019-07-01       Impact factor: 5.075

2.  Adipocyte extracellular vesicles carry enzymes and fatty acids that stimulate mitochondrial metabolism and remodeling in tumor cells.

Authors:  Emily Clement; Ikrame Lazar; Camille Attané; Lorry Carrié; Stéphanie Dauvillier; Manuelle Ducoux-Petit; David Esteve; Thomas Menneteau; Mohamed Moutahir; Sophie Le Gonidec; Stéphane Dalle; Philippe Valet; Odile Burlet-Schiltz; Catherine Muller; Laurence Nieto
Journal:  EMBO J       Date:  2020-01-10       Impact factor: 11.598

Review 3.  Obesity as a risk factor for malignant melanoma and non-melanoma skin cancer.

Authors:  K Karimi; T H Lindgren; C A Koch; Robert T Brodell
Journal:  Rev Endocr Metab Disord       Date:  2016-09       Impact factor: 6.514

Review 4.  Body Mass Index and Melanoma Prognosis.

Authors:  Nicoletta Cassano; Stefano Caccavale; Gino A Vena; Giuseppe Argenziano
Journal:  Dermatol Pract Concept       Date:  2021-09-01

Review 5.  The potential role of leptin in tumor invasion and metastasis.

Authors:  Amitabha Ray; Margot P Cleary
Journal:  Cytokine Growth Factor Rev       Date:  2017-11-11       Impact factor: 7.638

6.  Leptin OB3 peptide suppresses leptin-induced signaling and progression in ovarian cancer cells.

Authors:  Yu-Tang Chin; Le-Ming Wang; Meng-Ti Hsieh; Ya-Jung Shih; André Wendindondé Nana; Chun A Changou; Yu-Chen S H Yang; Hsien-Chung Chiu; Earl Fu; Paul J Davis; Heng-Yuan Tang; Hung-Yun Lin
Journal:  J Biomed Sci       Date:  2017-07-27       Impact factor: 8.410

7.  A protocol for prospective studies of 25-hydroxyvitamin D, leptin and body mass index in relation to cutaneous melanoma incidence and survival.

Authors:  Jo Steinson Stenehjem; Tom K Grimsrud; Judith R Rees; Linda Vos; Ronnie Babigumira; Marit B Veierød; Trude Eid Robsahm
Journal:  BMJ Open       Date:  2017-06-21       Impact factor: 2.692

8.  Investigation of TCF7L2, LEP and LEPR polymorphisms with esophageal squamous cell carcinomas.

Authors:  Hao Qiu; Xunting Lin; Weifeng Tang; Chao Liu; Yu Chen; Hao Ding; Mingqiang Kang; Shuchen Chen
Journal:  Oncotarget       Date:  2017-11-17

Review 9.  Genetic polymorphisms in leptin, adiponectin and their receptors affect risk and aggressiveness of prostate cancer: evidence from a meta-analysis and pooled-review.

Authors:  Meng-Bo Hu; Hua Xu; Ji-Meng Hu; Wen-Hui Zhu; Tian Yang; Hao-Wen Jiang; Qiang Ding
Journal:  Oncotarget       Date:  2016-12-06

10.  Association between obesity and biomarkers of inflammation and metabolism with cancer mortality in a prospective cohort study.

Authors:  Daniel T Dibaba; Suzanne E Judd; Susan C Gilchrist; Mary Cushman; Maria Pisu; Monika Safford; Tomi Akinyemiju
Journal:  Metabolism       Date:  2019-02-23       Impact factor: 8.694

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