| Literature DB >> 33799880 |
Tsung-Chieh Lin1, Michael Hsiao2,3.
Abstract
Leptin is an obesity-associated adipokine that is known to regulate energy metabolism and reproduction and to control appetite via the leptin receptor. Recent work has identified specific cell types other than adipocytes that harbor leptin and leptin receptor expression, particularly in cancers and tumor microenvironments, and characterized the role of this signaling axis in cancer progression. Furthermore, the prognostic significance of leptin in various types of cancer and the ability to noninvasively detect leptin levels in serum samples have attracted attention for potential clinical applications. Emerging findings have demonstrated the direct and indirect biological effects of leptin in regulating cancer proliferation, metastasis, angiogenesis and chemoresistance, warranting the exploration of the underlying molecular mechanisms to develop a novel therapeutic strategy. In this review article, we summarize and integrate transcriptome and clinical data from cancer patients together with the recent findings related to the leptin signaling axis in the aforementioned malignant phenotypes. In addition, a comprehensive analysis of leptin and leptin receptor distribution in a pancancer panel and in individual cell types of specific organs at the single-cell level is presented, identifying those sites that are prone to leptin-mediated tumorigenesis. Our results shed light on the role of leptin in cancer and provide guidance and potential directions for further research for scientists in this field.Entities:
Keywords: cancer progression; leptin; prognosis
Mesh:
Substances:
Year: 2021 PMID: 33799880 PMCID: PMC8002181 DOI: 10.3390/ijms22062870
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Human LEP (A) and LEPR (B) isoforms. The data were retrieved and analyzed from RefSeq. The protein domains of various isoforms are indicated in orange. The start of transcription and stop codon position are indicated by green and red arrowheads, respectively.
Figure 2LEPR expression in single cells of different types. The LEPR expression level was analyzed by single-cell RNA sequencing (scRNA-seq) in various human tissues. The RNA expression levels in the cell type clusters identified in each tissue were visualized by a UMAP plot of single cells (top) and in a bar chart (bottom). The read counts were normalized to transcripts per million protein-coding genes (pTPM) for each cluster.
Figure 3LEP and LEPR expression in a pancancer panel. In a pancancer dataset, LEP and LEPR expression levels were presented separately in various cancer types. The colored dots represent individual patients with higher expression of the indicated molecule among all cancer types. The raw data were retrieved from the online IST database.
LEP and LEPR mutations in 5 major types of cancer.
| Lung | Liver | Colon | Glioblastoma | Ovarian | ||||
|---|---|---|---|---|---|---|---|---|
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Missense and frameshifts mutation (fs) were labelled in red color. Silent, nonsense (*) and splice site (_splice) mutations were labelled in blue color.
Main effects of leptin/leptin receptor in different cancer types.
| Proliferation | Angiogenesis | Metastasis | Apoptosis | Drug Resistance | |
|---|---|---|---|---|---|
| Ovarian Cancer | ↑: [ | ↑: [ | ↑: (paclitaxel/docetaxel) [ | ||
| Brain Tumor | ↑: [ | ↑: [ | ↑: [ | ↑: (temozolomide) [ | |
| Breast Cancer | ↑: [ | ↑: [ | |||
| Liver Cancer | ↑: [ | ↑: [ | ↓: [ | ||
| ↓: [ | |||||
| Colorectal Cancer | ↑: [ | ↑: [ | |||
| ↓: [ | |||||
| Lung Cancer | ↑: [ | ↑: [ | ↑: (erlotinib) [ | ||
| Pancreatic Cancer | ↑: [ | ↑: [ | ↑: (gemcitabine) [ | ||
| Prostate Cancer | ↑: [ | ↑: [ | ↓: [ | ||
| Gallbladder cancer | ↑: [ | ||||
| Myeloma | ↑: (bortezomib) [ | ||||
| Chondrosarcoma | ↑: [ |
↑: increase.↓: decrease.
Figure 4Signaling axes modulated by leptin/leptin receptor.
Correlation of LEP with cancer patient survival.
| Symbol | Cancer Type | Prognosis | Endpoint | Case | Dataset | Method | Probe ID | |
|---|---|---|---|---|---|---|---|---|
|
| Glioma | Poor | Overall survival | 0.01 | 153 | TCGA | RNA-seq | |
|
| Thyroid Cancer | Good | Overall survival | 0.022 | 501 | TCGA | RNA-seq | |
|
| Lung Cancer | Poor | Overall survival | 0.0066 | 994 | TCGA | RNA-seq | |
|
| Colorectal Cancer | Poor | Overall survival | <0.001 | 597 | TCGA | RNA-seq | |
|
| Head and Neck Cancer | - | Overall survival | N.S. | 499 | TCGA | RNA-seq | |
|
| Stomach Cancer | - | Overall survival | N.S. | 354 | TCGA | RNA-seq | |
|
| Liver Cancer | N/A | Overall survival | N/A | 365 | TCGA | RNA-seq | |
|
| Pancreatic Cancer | Good | Overall survival | 0.025 | 176 | TCGA | RNA-seq | |
|
| Renal Cancer | Poor | Overall survival | 0.001 | 877 | TCGA | RNA-seq | |
|
| Urothelial Cancer | - | Overall survival | N.S. | 406 | TCGA | RNA-seq | |
|
| Prostate Cancer | - | Overall survival | N.S. | 494 | TCGA | RNA-seq | |
|
| Testis Cancer | - | Overall survival | N.S. | 134 | TCGA | RNA-seq | |
|
| Breast cancer | Good | Overall survival | 0.0082 | 1075 | TCGA | RNA-seq | |
|
| Cervical Cancer | - | Overall survival | N.S. | 291 | TCGA | RNA-seq | |
|
| Endometrial Cancer | - | Overall survival | N.S. | 541 | TCGA | RNA-seq | |
|
| Ovarian Cancer | Poor | Overall survival | 0.014 | 373 | TCGA | RNA-seq | |
|
| Melanoma | Poor | Overall survival | 0.02 | 102 | TCGA | RNA-seq | |
|
| Breast cancer | Good | Overall survival | 0.037 | 1402 | E-MTAB-365, E-TABM-43, GSE: 11,121, 12,093, | Array | 207092_at |
| 12,276, 1456, 16,391, 16,446, 16,716, 17,705, 17,907, | ||||||||
| 18,728, 19,615, 20,194, 20,271, 2034, 20,685, 20,711, | ||||||||
| 21,653, 2603, 26,971, 2990, 31,448, 31,519, 32,646, | ||||||||
| 3494, 37,946, 41,998, 42,568, 45,255, 4611, 5327, | ||||||||
| 6532, 7390, 9195 | ||||||||
|
| Ovarian cancer | - | Progression-free survival | N.S. | 1435 | GSE: 14,764, 15,622, 18,520, 19,829, 23,554, 26,193, | Array | 207092_at |
| 26,712, 27,651, 30,161, 3149, 51,373, 63,885, 65,986, | RNA-seq | |||||||
| 9891, TCGA (N = 565) | ||||||||
|
| Lung cancer | - | Post-progression survival | N.S. | 344 | CAARRAY, GSE: 14,814, 19,188, 29,013, 30,219, | Array | 207092_at |
| 31,210, 3141, 31,908, 37,745, 43,580, 4573, 50,081, | RNA-seq | |||||||
| 8894, TCGA (N = 133) | ||||||||
|
| Gastric cancer | - | Overall survival | N.S. | 875 | GSE: 14,210, 15,459, 22,377, 29,272, 51,105, 62,254 | Array | 207092_at |
Survival data was collected from The Human Protein Atlas, Kaplan-Meier plotter databases. N.S.: no significance. N/A: not applicable.
Correlation of LEPR with cancer patient survival.
| Symbol | Cancer Type | Prognosis | Endpoint | Case | Dataset | Method | Probe ID | |
|---|---|---|---|---|---|---|---|---|
|
| Glioma | - | Overall survival | N.S. | 153 | TCGA | RNA-seq | |
|
| Thyroid Cancer | Poor | Overall survival | 0.035 | 501 | TCGA | RNA-seq | |
|
| Lung Cancer | - | Overall survival | N.S. | 994 | TCGA | RNA-seq | |
|
| Colorectal Cancer | - | Overall survival | N.S. | 597 | TCGA | RNA-seq | |
|
| Head and Neck Cancer | - | Overall survival | N.S. | 499 | TCGA | RNA-seq | |
|
| Stomach Cancer | - | Overall survival | N.S. | 354 | TCGA | RNA-seq | |
|
| Liver Cancer | - | Overall survival | N.S. | 365 | TCGA | RNA-seq | |
|
| Pancreatic Cancer | - | Overall survival | N.S. | 176 | TCGA | RNA-seq | |
|
| Renal Cancer | - | Overall survival | N.S. | 877 | TCGA | RNA-seq | |
|
| Urothelial Cancer | - | Overall survival | N.S. | 406 | TCGA | RNA-seq | |
|
| Prostate Cancer | - | Overall survival | N.S. | 494 | TCGA | RNA-seq | |
|
| Testis Cancer | - | Overall survival | N.S. | 134 | TCGA | RNA-seq | |
|
| Breast cancer | Poor | Overall survival | 0.016 | 1075 | TCGA | RNA-seq | |
|
| Cervical Cancer | Poor | Overall survival | 0.0011 | 291 | TCGA | RNA-seq | |
|
| Endometrial Cancer | - | Overall survival | N.S. | 541 | TCGA | RNA-seq | |
|
| Ovarian Cancer | Poor | Overall survival | 0.0066 | 373 | TCGA | RNA-seq | |
|
| Melanoma | - | Overall survival | N.S. | 102 | TCGA | RNA-seq | |
|
| Breast cancer | - | Overall survival | N.S. | 1402 | E-MTAB-365, E-TABM-43, GSE: 11,121, 12,093, | Array | 207255_at |
| 12,276, 1456, 16,391, 16,446, 16,716, 17,705, 17,907, | ||||||||
| 18,728, 19,615, 20,194, 20,271, 2034, 20,685, 20,711, | ||||||||
| 21,653, 2603, 26,971, 2990, 31,448, 31,519, 32,646, | ||||||||
| 3494, 37,946, 41,998, 42,568, 45,255, 4611, 5327, | ||||||||
| 6532, 7390, 9195 | ||||||||
|
| Ovarian cancer | Poor | Progression-free survival | 0.036 | 1435 | GSE: 14,764, 15,622, 18,520, 19,829, 23,554, 26,193, | Array | 207255_at |
| 26,712, 27,651, 30,161, 3149, 51,373, 63,885, 65,986, | RNA-seq | |||||||
| 9891, TCGA (N = 565) | ||||||||
|
| Lung cancer | - | Overall survival | N.S. | 1925 | CAARRAY, GSE: 14,814, 19,188, 29,013, 30,219, | 207255_at | |
| 31,210, 3141, 31,908, 37,745, 43,580, 4573, 50,081, | RNA-seq | |||||||
| 8894, TCGA (N = 133) | ||||||||
|
| Gastric cancer | Poor | Overall survival | <0.001 | 875 | GSE: 14,210, 15,459, 22,377, 29,272, 51,105, 62,254 | Array | 207255_at |
Survival data was collected from The Human Protein Atlas, Kaplan-Meier plotter databases. N.S.: no significance. N/A: not applicable.