RESUMO
BACKGROUND & AIMS: We recently reported use of tissue-based transcriptomic biomarkers (microRNA [miRNA] or messenger RNA [mRNA]) for identification of lymph node metastasis (LNM) in patients with invasive submucosal colorectal cancers (T1 CRC). In this study, we translated our tissue-based biomarkers into a blood-based liquid biopsy assay for noninvasive detection of LNM in patients with high-risk T1 CRC. METHODS: We analyzed 330 specimens from patients with high-risk T1 CRC, which included 188 serum samples from 2 clinical cohorts-a training cohort (N = 46) and a validation cohort (N = 142)-and matched formalin-fixed paraffin-embedded samples (N = 142). We performed quantitative reverse-transcription polymerase chain reaction, followed by logistic regression analysis, to develop an integrated transcriptomic panel and establish a risk-stratification model combined with clinical risk factors. RESULTS: We used comprehensive expression profiling of a training cohort of LNM-positive and LMN-negative serum specimens to identify an optimized transcriptomic panel of 4 miRNAs (miR-181b, miR-193b, miR-195, and miR-411) and 5 mRNAs (AMT, forkhead box A1 [FOXA1], polymeric immunoglobulin receptor [PIGR], matrix metalloproteinase 1 [MMP1], and matrix metalloproteinase 9 [MMP9]), which robustly identified patients with LNM (area under the curve [AUC], 0.86; 95% confidence interval [CI], 0.72-0.94). We validated panel performance in an independent validation cohort (AUC, 0.82; 95% CI, 0.74-0.88). Our risk-stratification model was more accurate than the panel and an independent predictor for identification of LNM (AUC, 0.90; univariate: odds ratio [OR], 37.17; 95% CI, 4.48-308.35; P < .001; multivariate: OR, 17.28; 95% CI, 1.82-164.07; P = .013). The model limited potential overtreatment to only 18% of all patients, which is dramatically superior to pathologic features that are currently used (92%). CONCLUSIONS: A novel risk-stratification model for noninvasive identification of T1 CRC has the potential to avoid unnecessary operations for patients classified as high-risk by conventional risk-classification criteria.
Assuntos
Biomarcadores Tumorais/sangue , Neoplasias Colorretais/sangue , Técnicas de Apoio para a Decisão , Perfilação da Expressão Gênica , Linfonodos/patologia , MicroRNAs/sangue , RNA Mensageiro/sangue , Transcriptoma , Adulto , Idoso , Idoso de 80 Anos ou mais , Biomarcadores Tumorais/genética , Neoplasias Colorretais/genética , Neoplasias Colorretais/patologia , Estudos de Viabilidade , Feminino , Fator 3-alfa Nuclear de Hepatócito/sangue , Fator 3-alfa Nuclear de Hepatócito/genética , Humanos , Biópsia Líquida , Metástase Linfática , Masculino , Metaloproteinase 1 da Matriz/sangue , Metaloproteinase 1 da Matriz/genética , Metaloproteinase 9 da Matriz/sangue , Metaloproteinase 9 da Matriz/genética , MicroRNAs/genética , Pessoa de Meia-Idade , Estadiamento de Neoplasias , Nomogramas , Valor Preditivo dos Testes , RNA Mensageiro/genética , Receptores de Imunoglobulina Polimérica/sangue , Receptores de Imunoglobulina Polimérica/genética , Reprodutibilidade dos Testes , Estudos Retrospectivos , Medição de Risco , Fatores de Risco , Adulto JovemRESUMO
UDP glucuronosyltransferase 2B17 is present in the prostate, where it catalyzes the addition of glucuronic acid to testosterone and dihydrotestosterone and their metabolites androsterone and androstane-3α,17ß-diol. Hence, changes in UGT2B17 gene expression may affect the capacity of the prostate to inactivate and eliminate male sex hormones. In this work, we identify a prevalent polymorphism, -155G/A, in the proximal promoter of the UGT2B17 gene. This polymorphism modulates UGT2B17 promoter activity, because luciferase-gene reporter constructs containing the -155A allele were 13-fold more active than those containing the -155G allele in prostate cancer LNCaP cells. The -155G/A polymorphism is contained within a putative binding site for the transcription factor Forkhead Box A1 (FOXA1). Using gene reporter, electromobility shift, and chromatin immunoprecipitation analyses, we show that FOXA1 binds to this site and stimulates the UGT2B17 promoter. Furthermore, down-regulation of FOXA1 in LNCaP cells substantially reduces UGT2B17 mRNA levels. The binding of FOXA1 and subsequent stimulation of the UGT2B17 promoter is greatly reduced in the presence of the -155G allele compared with the -155A allele. Consonant with its capacity to be stimulated by FOXA1, the UGT2B17 -155A allele, compared with the -155G allele, is associated with higher levels of circulating androstane-3α,17ß-diol glucuronide. Although the initial phases of prostate cancer are androgen-dependent and UGT2B17 inactivates androgens, there was no association of the UGT2B17 -155G/A polymorphism with prostate cancer risk. In summary, this work identifies FOXA1 as an important regulator of UGT2B17 expression in prostate cancer LNCaP cells and identifies a polymorphism that alters this regulation.
