Advances in colorectal cancer screening and detection: a narrative review on biomarkers, imaging and preventive strategies DOI Creative Commons

Adil Khan,

Uswa Hasana,

I Nadeem

et al.

Journal of the Egyptian National Cancer Institute, Journal Year: 2025, Volume and Issue: 37(1)

Published: April 11, 2025

Abstract Background With the third incident rate and a second mortality rate, colorectal cancer (CRC) continues to be one of most prevalent deadly malignancies worldwide. Adenomas usually develop into adenocarcinomas in (CRC), process that can halted by early detection prevention care. Main body Faecal immunochemical testing (FIT) endoscopies are examples current screening tools dramatically lower incidence death cancer. Current development centre on non-invasive methods provide better accuracy dangers, such as blood-based liquid biopsies imaging modalities like CT MR colonography. For detection, biopsies—especially those using methylated DNA tests SEPT9—offer encouraging outcomes. Circulating tumour (ctDNA) has emerged crucial biomarker, increasing identification therapy monitoring. Proteomic metabolic indicators further improve figuring out who is at high risk keeping an eye for recurrence. The rates polyps have increased due advancements technologies artificial intelligence (AI), narrow-band (NBI), high-definition colonoscopy. emphasis been preventive measures, chemoprevention lifestyle modifications, dietary fibre, regular exercise, chemoprotective drugs aspirin demonstrated potential lowering There still issues with global implementation screening, including differences access between socioeconomic racial groups. Hope more individualized efficient CRC provided new research biomarkers technological polygenic classification. Conclusion variety invasive techniques available identify early. To enhance prognosis mortality, undergone tremendous advancement. Although colonoscopy faecal assays good standards detecting advances biopsy, proteomics, transformed field offered less invasive, precise choices, surveillance, circulating other show potential.

Language: Английский

Advances in Precision Medicine Approaches for Colorectal Cancer: From Molecular Profiling to Targeted Therapies DOI Creative Commons

Neelakanta Sarvashiva Kiran,

Chandrashekar Yashaswini,

Rahul Maheshwari

et al.

ACS Pharmacology & Translational Science, Journal Year: 2024, Volume and Issue: 7(4), P. 967 - 990

Published: March 19, 2024

Precision medicine is transforming colorectal cancer treatment through the integration of advanced technologies and biomarkers, enhancing personalized effective disease management. Identification key driver mutations molecular profiling have deepened our comprehension genetic alterations in cancer, facilitating targeted therapy immunotherapy selection. Biomarkers such as microsatellite instability (MSI) DNA mismatch repair deficiency (dMMR) guide decisions, opening avenues for immunotherapy. Emerging liquid biopsies, artificial intelligence, machine learning promise to revolutionize early detection, monitoring, selection precision medicine. Despite these advancements, ethical regulatory challenges, including equitable access data privacy, emphasize importance responsible implementation. The dynamic nature with its tumor heterogeneity clonal evolution, underscores necessity adaptive strategies. future lies potential enhance patient care, clinical outcomes, understanding this intricate disease, marked by ongoing evolution field. current reviews focus on providing in-depth knowledge various diverse approaches utilized against at both biochemical levels.

Language: Английский

Citations

15
​Comprehensive mendelian randomization analysis of plasma proteomics to identify new therapeutic targets for the treatment of coronary heart disease and myocardial infarction DOI Creative Commons
Ziyi Sun, Zhangjun Yun, Jianguo Lin

et al.

Journal of Translational Medicine, Journal Year: 2024, Volume and Issue: 22(1)

Published: April 30, 2024

Ischemic heart disease is one of the leading causes mortality worldwide, and thus calls for development more effective therapeutic strategies. This study aimed to identify potential targets coronary (CHD) myocardial infarction (MI) by investigating causal relationship between plasma proteins these conditions.

Language: Английский

Citations

14
Circulating inflammatory cytokines and colorectal cancer: New insights from Mendelian randomization DOI Creative Commons
Qinglu Fan, Jing Wang,

Miao Tian

et al.

Medicine, Journal Year: 2025, Volume and Issue: 104(4), P. e41331 - e41331

Published: Jan. 24, 2025

Colorectal cancer (CRC) is one of the most common cancers worldwide and inflammation believed to play an important role in CRC. In this study, we comprehensively analyzed causal association between 91 circulating inflammatory cytokines risk CRC using Mendelian randomization (MR). Based on genome-wide study summary statistics, examined effects A series MR methods, including bidirectional MR, replication sample multivariable were employed provide more robust estimates. After validation with 3 methods a sensitivity analyses, 2 factors found be significantly associated at genetic level. Specifically, genetically predicted levels glial cell line-derived neurotrophic factor (GDNF) (OR = 1.12; 95% CI: 1.05–1.19; P 2.72 × 10 -4 ) tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) 0.93; 0.91–0.99; 1.00 -2 exerted risk. conclusion, suggests that increased GDNF TRAIL are higher lower CRC, respectively. may potential therapeutic targets deserve future investigation.

Language: Английский

Citations

1
A review on trends in development and translation of omics signatures in cancer DOI Creative Commons
Wei Ma, Wenshu Tang, Jamie Sui-Lam Kwok

et al.

Computational and Structural Biotechnology Journal, Journal Year: 2024, Volume and Issue: 23, P. 954 - 971

Published: Feb. 3, 2024

The field of cancer genomics and transcriptomics has evolved from targeted profiling to swift sequencing individual tumor genome transcriptome. steady growth in genome, epigenome, transcriptome datasets on a genome-wide scale significantly increased our capability capturing signatures that represent both the intrinsic extrinsic biological features tumors. These differences can help precise molecular subtyping cancer, predicting progression, metastatic potential, resistance therapeutic agents. In this review, we summarized current development genomic, methylomic, transcriptomic, proteomic metabolic research highlighted their potentials clinical applications improve diagnosis, prognosis, treatment decision patients.

Language: Английский

Citations

7
Circulating Proteins and IgA Nephropathy DOI
Chen Tang, Pei Chen, Linlin Xu

et al.

Journal of the American Society of Nephrology, Journal Year: 2024, Volume and Issue: 35(8), P. 1045 - 1057

Published: April 30, 2024

Key Points A multiancestry proteome-wide Mendelian randomization analysis was conducted for IgA nephropathy. The findings from the study would help prioritize new drug targets and drug-repurposing opportunities. Background therapeutic options nephropathy are rapidly evolving, but early diagnosis targeted treatment remain challenging. We aimed to identify circulating plasma proteins associated with by studies across multiple ancestry populations. Methods In this study, we applied colocalization analyses estimate putative causal effects of 2615 on in Europeans 235 East Asians. Following two-stage network randomization, multitrait protein-altering variant annotation were performed strengthen reliability results. protein–protein interaction constructed investigate interactions between identified existing medications. Results Putative 184 13 protein–disease pairs European Asian ancestries identified, respectively. Two showed shared them (CFHR1 FCRL2). Supported evidence analysis, potential prioritized four opportunities suggested. further provided strong medications pathways that known be therapeutically important. Conclusions Our a number several require investigation.

Language: Английский

Citations

7
CXCR1 and CXCR2 are potential neutrophil extracellular trap-related treatment targets in ulcerative colitis: insights from Mendelian randomization, colocalization and transcriptomic analysis DOI Creative Commons

Yichuan Xv,

Yiyi Feng,

Lin Jiang

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 12, 2024

There is already substantial evidence indicating that neutrophil extracellular trap (NET) formation contributes to the inflammatory cascade in ulcerative colitis (UC). However, precise regulatory mechanisms governing this process remain elusive. This study aimed determine role of NET-related genes UC and reveal possible mechanisms.

Language: Английский

Citations

6
Elucidating the susceptibility to breast cancer: an in-depth proteomic and transcriptomic investigation into novel potential plasma protein biomarkers DOI Creative Commons
Yang Wang, Kexin Yi,

Baoyue Chen

et al.

Frontiers in Molecular Biosciences, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 18, 2024

Objectives: This study aimed to identify plasma proteins that are associated with and causative of breast cancer through Proteome Transcriptome-wide association studies combining Mendelian Randomization. Methods: Utilizing high-throughput datasets, we designed a two-phase analytical framework at identifying novel both cancer. Initially, conducted Proteome/Transcriptome-wide (P/TWAS) significant associations. Subsequently, Randomization was employed ascertain the causation. The validity robustness our findings were further reinforced external validation various sensitivity analyses, including Bayesian colocalization, Steiger filtering, heterogeneity pleiotropy. Additionally, performed functional enrichment analysis identified better understand their roles in assess potential as druggable targets. Results: We 5 demonstrating strong associations links Specifically, PEX14 (OR = 1.201, p 0.016) CTSF 1.114, < 0.001) displayed positive causal In contrast, SNUPN 0.905, 0.001), CSK 0.962, 0.038), PARK7 0.954, negatively disease. For ER-positive subtype, 3 identified, exhibiting consistent trends, while GDI2 0.920, distinct this subtype. ER-negative 1.645, stood out sole protein, even showing stronger effect compared These robustly supported by colocalization analyses. Conclusion: Integrating multiple data dimensions, successfully pinpointed significantly cancer, offering valuable insights for future research new biomarkers therapeutic

Language: Английский

Citations

5
Plasma proteomic and polygenic profiling improve risk stratification and personalized screening for colorectal cancer DOI Creative Commons
Jing Sun, Yue Liu, Jianhui Zhao

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Oct. 15, 2024

This study aims to identify colorectal cancer (CRC)-related proteomic profiles and develop a prediction model for CRC onset by integrating with genetic non-genetic factors (QCancer-15) improve the risk stratification estimate of personalized initial screening age. Here, using two-stage strategy, we prioritize 15 protein biomarkers as predictors construct score (ProS). The polygenic (PRS) QCancer-15 (QCancer-S) shows improved performance (C-statistic: 0.79 vs. 0.71, P = 4.94E-03 in training cohort; 0.75 vs 0.69, 5.49E-04 validation cohort) net benefit than QCancer-S alone. combined markedly stratifies onset. Participants high ProS, PRS, or are proposed start at age 46, 41, before 40 years old. In this work, integration blood proteomics PRS demonstrates clinical implication derivation risk-adapted starting ages screening, which may contribute decision-making process screening.

Language: Английский

Citations

4
Identification of biomarkers for chronic lymphocytic leukemia risk: a proteome-wide Mendelian randomization study DOI Creative Commons

Changyu Jin,

Z. Lu,

Yuzhan Chen

et al.

Discover Oncology, Journal Year: 2025, Volume and Issue: 16(1)

Published: Jan. 3, 2025

Abstract Background Chronic lymphocytic leukemia (CLL) is a common hematologic malignancy. Although previous research has explored associations between plasma proteins and CLL, the causal relationships remain unclear. This study used Mendelian randomization (MR) to investigate relationship 7156 CLL risk. Methods A two-sample MR analysis assessed impact of specific on risk, using data from Finngen Proteomics project (analyzing 828 participants) UK Biobank. Additional analyses included colocalization, phenomenon-wide MR, protein–protein interaction networks. Results The identified nine significantly associated with Increased levels Peptidyl-prolyl cis-trans isomerase E (PPIE) (OR = 1.66, 95% CI 1.22–2.27, P 0.001) were an increased risk developing whereas Protein O-Mannosyltransferase 2 (POMGNT2) 0.62, 0.41–0.91, 0.017) C–C Motif Chemokine Ligand 14(CCL14) 0.80, 0.67–0.94, 0.010) reduced CLL. Colocalization suggested that PPIE may share pathogenic variants (PP.H4 0.758). Phenomenon-wide also indicated other clinical features, including rheumatic diseases type diabetes. Protein–protein drug-gene highlighted CDC5L SNW1 as potential therapeutic targets. Conclusion identifies linked offering new insights into disease's pathogenesis. Further needed validate these findings explore their

Language: Английский

Citations

0
Integrative genetics and multiomics analysis reveal mechanisms and therapeutic targets in vitiligo highlighting JAK STAT pathway regulation of CTSS DOI Creative Commons

Zi-yue Dong,

Mingjie He,

Yongkai Yu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 17, 2025

Vitiligo is a complex autoimmune disease characterized by the loss of melanocytes, leading to skin depigmentation. Despite advances in understanding its genetic and molecular basis, precise mechanisms driving vitiligo remain elusive. Integrating multiple layers omics data can provide comprehensive view pathogenesis identify potential therapeutic targets. The study aims delineate using an integrative multiomics strategy. We focus on exploring regulatory influence JAK/STAT pathway Cathepsin S, target vitiligo. Our GWAS-meta analysis pinpointed five druggable genes: ERBB3, RHOH, CDK10, MC1R, NDUFAF3, underwent drug exploration docking. SMR linked CTSS, CTSH, STX8, KIR2DL3, GRHPR through pQTL eQTL associations. Microarray single-cell RNA-seq showed differential expression CTSS STAT1/3 patients' blood lesions. offers novel perspectives vitiligo's highlighting pathway's role regulating for antigen processing melanocytes. Further research needed confirm these results assess related genes.

Language: Английский

Citations

0