| Literature DB >> 35873024 |
Ismael Chatita Adolf1, Amany Almars2, Nazima Dharsee3, Teddy Mselle4, Gokce Akan4, Irene Jeremiah Nguma5, Abdolrahman S Nateri2, Fatmahan Atalar4,6.
Abstract
The immune system plays an important role in protecting the body against malignancy. During cancer immunoediting, the immune system can recognize and keep checking the tumor cells by down-expression of some self-molecules or by increasing expression of some novel molecules. However, the microenvironment created in the course of cancer development hampers the immune ability to recognize and destroy the transforming cells. Human Leukocyte Antigen G (HLA-G) is emerging as immune checkpoint molecule produced more by cancer cells to weaken the immune response against them. HLA-G is a non-classical HLA class I molecule which is normally expressed in immune privileged tissues as a soluble or membrane-bound protein. HLA-G locus is highly polymorphic in the non-coding 3' untranslated region (UTR) and in the 5' upstream regulatory region (5' URR). HLA-G expression is controlled by polymorphisms located in these regions, and several association studies between these polymorphic sites and disease predisposition, response to therapy, and/or HLA-G protein expression have been reported. Various polymorphisms are demonstrated to modulate its expression and this is increasingly finding more significance in cancer biology. This review focuses on the relevance of the HLA-G gene and its polymorphisms in cancer development. We highlight population genetics of HLA-G as evidence to espouse the need and importance of exploring potential utility of HLA-G in cancer diagnosis, prognosis and immunotherapy in the currently understudied African population.Entities:
Keywords: African population; Cancer; HLA-G; Immune system checkpoints; MHC; Single nucleotide polymorphism
Year: 2021 PMID: 35873024 PMCID: PMC9293715 DOI: 10.1016/j.gendis.2021.06.004
Source DB: PubMed Journal: Genes Dis ISSN: 2352-3042
Figure 1HLA-G and immunotolerance. Under normal physiological conditions, HLA-G is more expressed in immune privileged sites such as cornea, pancreatic islets, endothelial cells, thymus, and erythroblasts and in hematopoietic cell lineage. Its expression is upregulated in pathological conditions such as viral infections and cancer. Its downregulated expression is implicated in autoimmune diseases. HLA-G1 to -G4 are membrane-bound because they possess transmembrane (Tm) region anchoring them to the membrane and cytoplasmic (Cyt) domain. HLA-G5 to -G7 are soluble ones as they lack transmembrane domain. Intron (I) 2 intervening exons 2 and 3, and intron 4 intervening exons 4 and 5 contain stop codons (red dots) and are retained in mRNAs for HLA-G5, -G6 (intron 4) and -G7 (intron 2). Termination of translation at these stop codons makes some parts of introns to be incorporated into HLA-G5, -G6 and -G7 as short tails. α1, α2 and α3 are extracellular domains expressed from exons 2, 3 and 4, respectively. UTR: untranslated region; mHLA-G: membrane-bound HLA-G; sHLA-G: soluble HLA-G.
Figure 2HLA-G isoforms translated from alternatively spliced exons in HLA-G primary transcript. HLA-G1 to -G4 are membrane-bound because they possess transmembrane (Tm) region anchoring them to the membrane and cytoplasmic (Cyt) domain. HLA-G5 to -G7 are soluble ones as they lack transmembrane domain. Intron (I) 2 intervening exons (E) 2 and 3, and intron 4 intervening exons 4 and 5 contain stop codons (red dots) and are retained in mRNAs for HLA-G5, -G6 (intron 4) and -G7 (intron 2). Termination of translation at these stop codons makes some parts of introns to be incorporated into HLA-G5, -G6 and -G7 as short tails. α1, α2 and α3 are extracellular domains expressed from exons 2, 3 and 4, respectively.
Diagnostic performance of sHLA-G in some selected studies on cancer.
| Condition | Discriminatory Utility | Sample | AU-ROC | COV | SN (%) | SP (%) | Population | Ref |
|---|---|---|---|---|---|---|---|---|
| Breast cancer | Patients | plasma | 0.89 | 19.4 | 92.5 | 70 | Korea | |
| NSCLC | Patients | plasma | 0.82 | 24.9 | 52.8 | 100 | Caucasian | |
| Gastric cancer | Patients | plasma | 0.730 | 84 | 27.2 | 95.4 | China | |
| Gastric cancer | Patients | plasma | 0.70 | – | – | – | China | |
| Carcinomas | Malignant | ascites | 0.957 | 19.6 | 87.5 | 100 | China | |
| Breast cancer | Metastasis | plasma | 0.79 | 147.7 | 88.9 | 69.0 | Korea | |
| Colorectal cancer | Early stages patients | plasma | 0.97 | 49 | 94 | 100 | China | |
| Gastric cancer | Early stages patients | plasma | 0.91 | 49 | 85 | 100 | China | |
| Esophageal cancer | Early stages patients | plasma | 0.98 | 49 | 91 | 100 | China | |
| NSCLC | Early stage patients | plasma | 0.8 | 49 | 51 | 100 | China | |
| Breast cancer | Patients | plasma | 0.935 | 68.82 | 65.9 | 100 | China | |
| Breast cancer | Patients | plasma | 0.95 | 0.54 | 88.1 | 100 | China | |
| Cervical cancer | Premalignant | plasma | 0.694 | 108.2 | 73.3 | 67.7 | China | |
| Gastrointestinal cancer | Patients | plasma | 0.752 | 57.85 | 89 | 62 | Iran |
Abbreviations: AU-ROC, area under receiver operating characteristic curve; COV, cut-off value; SN, sensitivity; SP, specificity; NSCLS, non-small cell lung cancer; Ref, reference.
Figure 3Common variation sites and haplotypes in 3′UTR of HLA-G gene based on 21 global populations. The shaded squares indicate the presence of allelic form in the respective haplotypes. The allelic variants in the haplotypes affect the expression of HLA-G. UTR-1 and UTR-2 are the most prevalent haplotypes, differing at five polymorphic positions. “14IND” stands for 14-bp Insertion/deletion; “I” stands for 14-bp Insertion; “D” stands for 14-bp Deletion. The gene structure is according to NCBI notation.
Figure 4Global distribution of frequencies of HLA-G 3′UTR haplotypes (adapted from Sabbagh et al). There are variations in distribution of some haplotypes across four continents. UTR-7 is almost non-existent in African population while UTR-19 is absent in almost other continents but Africa. Abbreviations: ASW, People from southwestern United States with African ancestry; CEU, Utah residents with Northern and Western European ancestry; CHB, Han Chinese from Beijing; CHS, Han Chinese from South China; CLM, Colombians from Medellı'n, Colombia; FIN, Finnish from Finland; GBR, British from England and Scotland; GUI, Natives of Guinea-Bissau; IBS, Iberian population from Spain; JPT, Japanese from Tokyo, Japan; LWK, Luhya from Webuye, Kenya; MXL, People of Mexican ancestry from Los Angeles; NEB, North eastern Brazilians from Recife, Pernambuco, Brazil; POR, Portuguese; PUR, Puerto Ricans from Puerto Rico; SEB, Southeastern Brazilians from RibeiraoPreto, Sao Paulo, Brazil; SER, Serer from Niakhar, Senegal; TOR, Tori from Tori-Bossito, Benin; TSI, Toscani from Italy; YAN, Yansi from Bandundu, Democratic Republic of Congo; YRI, Yoruba from Ibadan, Nigeria.
Prognostic and predictive utility of selected HLA-G polymorphisms for cancers.
| Polymorphic sites | Cancer | Genotyping method | Population | Year | Potential utility | Ref |
|---|---|---|---|---|---|---|
| Nucleotides encompassing exons 2 and 4 in coding region | Non-small-cell lung cancer (NSCLC) | Sequencing | Tunisia | 2016 | Allelic variants G∗010101, G∗010401, G∗0105N and G ∗0106 could serve as independent risk factors for NSCLC | |
| SNPs in 3′UTR | Colorectal cancer (CRC) | Sequencing | Italy | 2017 | SNPs +3196 G/C, 14-Indel and UTR-2 haplotype seem to be predictive markers for FOLFOX4 toxicity in grade 3 and 4 CRC patients | |
| SNPs in exons 2 and 3 of HLA-G coding region | Gastric adenocarcinoma (GAC) | PCR-RFLP | Iran | 2016 | SNPs in HLA-G gene could determine the onset and outcome of GAC | |
| +3142G/C | Breast cancer (BC) | PCR-RFLP | Tunisia | 2016 | SNP +3142G/C could serve as a genetic marker for BC susceptibility | |
| SNPs in 3′UTR | Thyroid cancer | Sequencing | Brazil | 2017 | Some SNPs in 3′UTR associated with high expression of HLA-G are potential markers for differentiated thyroid tumors | |
| SNPs in 3′UTR | Colorectal cancer | Sequencing | Italy | 2016 | SNPs +3196G/C, 14-Indel, and haplotype UTR-2 are potential genetic markers for increased CRC susceptibility | |
| SNPs in 3′UTR | Prostate cancer | Sequencing | Brazil | 2016 | SNP +3003T/C could be used as a tag for prostate cancer risk | |
| 14-Indel | Breast cancer | PCR + Electrophoresis | Iran | 2015 | 14-Indel is a potential risk factor for BC progression | |
| 14-Indel | Breast cancer | PCR + Electrophoresis | Korea | 2014 | 14-Indel could serve as a genetic risk factor for BC susceptibility | |
| SNPs in 3′UTR | Breast cancer | Taq Man assay | Tunisia | 2019 | SNP +3142G/C is a potential genetic marker for increased BC susceptibility | |
| SNPs in promoter region | NSCLC | Temperature-gradient gel electrophoresis | Poland | 2014 | SNP -725C > G > T could be used as a marker for lymph node metastasis in NSCLC | |
| +3142G/C and 14-Indel | Cervico-vaginal cancer | PCR + Gel electrophoresis | Brazil | 2013 | +3142 G/C and 14-Indel are potential markers for increased risk of developing cervical cancer | |
| −725C > G > T and 14-Indel | Diffuse Large B Cell Lymphoma (DLBCL) | PCR | Poland | 2015 | The SNPs are potentially capable of predicting overall survival of DLBCL patients | |
| 14-Indel | Post-heart transplant cancers | MassARRAY | Canada | 2020 | 14-bp insertion is a potential predictor of cancer after heart transplantation |