| Literature DB >> 35326519 |
Lanshan Huang1,2, Melissa J LaBonte1, Stephanie G Craig1, Stephen P Finn3, Emma H Allott1,3.
Abstract
Prostate cancer is a major cause of disease for men globally. Inflammation, an established hallmark of cancer, is frequently observed in the prostate, though its contribution to prostate cancer risks and outcomes is not fully understood. Prostate cancer is biologically and clinically heterogeneous, and there is now evidence that inflammation and immunological characteristics vary by the genomic and mutational landscape of the tumor. Moreover, it is now recognized that risk factor profiles vary between tumor subgroups, as defined by histopathological and molecular features. Here, we provide a review centered around the relationship between inflammation and prostate cancer, with a consideration of molecular tumor features and a particular focus on the advanced and lethal stages of disease. We summarize findings from epidemiological studies of the etiology and role of inflammation in prostate cancer. We discuss the pathology of prostate inflammation, and consider approaches for assessing the tumor immune microenvironment in epidemiological studies. We review emerging clinical therapies targeting immune biology within the context of prostate cancer. Finally, we consider potentially modifiable risk factors and corresponding lifestyle interventions that may affect prostate inflammation, impacting outcomes. These emerging insights will provide some hints for the development of treatment and prevention strategies for advanced and lethal prostate cancer.Entities:
Keywords: epidemiology; immune; inflammation; lifestyle; pathology; prostate cancer; tumor microenvironment
Year: 2022 PMID: 35326519 PMCID: PMC8946208 DOI: 10.3390/cancers14061367
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Figure 1The histological classification of prostatic inflammatory infiltrates. Prostate inflammation is classified according to the inflammation extent (focal, ˂10%; multifocal, 10–50%; or diffuse, >50%) and grade (mild, ˂100 cells/mm2; moderate, 100–500 cells/mm2; or severe, >500 cells/mm2) in each tissue location (glandular, periglandular, and stromal). (Adapted from Nickel et al. [43]).
Impact of lifestyle factors on advanced and lethal prostate cancer outcomes: evidence from recent studies.
| Lifestyle Factor | Assessment | HR (95% CI) | Study Design | Author (Year) | |
|---|---|---|---|---|---|
| Advanced Prostate Cancer | Lethal Prostate Cancer | ||||
| Vigorous exercise | Men in the highest quintile of vigorous activity compared to the lowest quintile | 0.70 | 0.75 | Prospective cohort | Pernar (2019) [ |
| Obesity | Each 5 kg/m2 increase in BMI | 1.06 | NA | Meta-analysis | Harrison (2020) [ |
| NA | 1.13 | Meta-analysis | Jochems (2020) [ | ||
| Inflammatory diet | Each SD increase in inflammatory diet score among men under 65 yrs of age | 1.13 | 1.16 | Prospective cohort | Fu (2021) [ |
| Cigarette smoking | Current smoking compared to never smoked | NA | 1.14 | Retrospective cohort | Riviere (2020) [ |
| 1.05 | 1.27 | Prospective cohort | Rohrmann (2013) [ | ||
| Aspirin | Current aspirin use compared to never used | 1.16 | 0.80 | Prospective cohort | Downer (2019) [ |
| Statin | Current statin use compared to never/past used | 0.98 | 0.76 | Prospective cohort | Allott (2020) [ |
Abbreviations: BMI, body mass index; CI, confidence interval; HR, hazard ratio; NA, not available; SD, standard deviation.
Main strategies for measuring tissue-based TIME.
| Method | Sample Source | Detection Level | Markers Number | Spatial | Advanced Analysis Platform |
|---|---|---|---|---|---|
| H&E | FFPE | Cellular structure | NA | Yes | HALO, FIJI/ImageJ, |
| IHC, IF | FFPE | Protein | Up to 60 [ | Yes | |
| Flow cytometry | Fresh tissue, FF, FFPE | Protein | Up to 28 [ | No | viSNE, PhenoGraph, SPADE1, FlowSOM, t-SNE |
| Mass cytometry | Fresh tissue, FF, FFPE | Protein | Up to 42 [ | No | |
| Microarray | Fresh tissue, FF, FFPE | Transcriptomics | High | No | MCP-counter, xCell, TIMER, quanTIseq, EPIC, CIBERSORT |
| RNA-seq | Fresh tissue, FF, FFPE | Transcriptomics | High | No | |
| Digital spatial profiling | FFPE, fresh tissue | Protein, transcriptomics | Up to 50 [ | Yes | NanoString |
Abbreviations: FF, fresh frozen; FFPE, formalin-fixed, paraffin-embedded; H&E, Hemotoxylin and Eosin; IF, immunofluorescence; IHC, immunohistochemistry; NA, not available; RNA-seq, RNA-sequencing; TIME, tumor immune microenvironment.