Nomograms for Prediction of Molecular Phenotypes in Colorectal Cancer

Prognostic Significance of Systemic Inflammation Indices by K-ras Status in Patients With Metastatic Colorectal Cancer

BACKGROUND

Systemic inflammation markers are useful prognostic indicators for metastatic colorectal cancer. However, the influence of K-ras genotypes on these markers in patients with metastatic colorectal cancer is unclear.

OBJECTIVE

This study aimed to evaluate the associations between systems of evaluating pretreatment systemic inflammation and outcomes according to K-ras genotypes in patients with metastatic colorectal cancer.

DESIGN

This was a retrospective study.

SETTINGS

This study was conducted at a university hospital.

PATIENTS

This study included a total of 272 patients ( K-ras wild type: K-ras mutant = 169:103) who received first-line systemic chemotherapy for metastatic colorectal cancer.

MAIN OUTCOME MEASURES

We retrospectively calculated 8 systemic inflammation indices: neutrophil/lymphocyte ratio, platelet/lymphocyte ratio, lymphocyte/monocyte ratio, prognostic nutritional index, Glasgow prognostic score, Naples prognostic score, systemic inflammation score, and systemic immune-inflammation index. Patients were categorized into high or low groups for each index. The prognostic relevance of these indices for overall survival was evaluated according to the K-ras genotype.

RESULTS

Kaplan-Meier survival analyses showed that median overall survival significantly differed between the high and low groups for all indices in the K-ras wild-type group but not in the K-ras mutant group, except for Glasgow prognostic score and lymphocyte/monocyte ratio. Multivariate Cox regression analyses identified all indices as independent prognostic factors. In the K-ras wild-type group, all indices except platelet/lymphocyte ratio had strong prognostic effects, but not in the K-ras mutant group. Interaction tests indicated that K-ras genotype significantly influenced the prognostic impacts of the neutrophil/lymphocyte ratio ( p = 0.042), prognostic nutritional index ( p = 0.048), Naples prognostic score ( p < 0.001), and systemic immune-inflammation index ( p = 0.004).

LIMITATIONS

A major limitation of this study is the lack of external validation.

CONCLUSIONS

The prognostic significance of systemic inflammation indices is more useful in patients with K-ras wild-type metastatic colorectal cancer than those with K-ras mutant cancer. See Video Abstract at http://links.lww.com/DCR/B921 .

IMPORTANCIA PRONSTICA DE LOS NDICES DE INFLAMACIN SISTMICA POR ESTADO DE KRAS EN PACIENTES CON CNCER COLORRECTAL METASTSICO

ANTECEDENTES:Los marcadores de inflamación sistémica son indicadores de pronósticos útiles para el cáncer colorrectal metastásico. Sin embargo, la influencia de los genotipos KRAS en estos marcadores en pacientes con cáncer colorrectal metastásico no está clara.OBJETIVO:Evaluamos las asociaciones entre los sistemas de evaluación de la inflamación sistémica previa al tratamiento y los resultados según los genotipos K-ras en pacientes con cáncer colorrectal metastásico.AJUSTE:Este estudio se realizó en un hospital universitario.DISEÑO:Este fue un estudio retrospectivo.PACIENTES:Un total de 272 pacientes (K-ras wildtype [K-raswt]:mutant [K-rasMut] = 169:103) que recibieron quimioterapia sistémica de primera línea para el cáncer colorrectal metastásico.PRINCIPALES MEDIDAS DE RESULTADO:Calculamos retrospectivamente 8 índices de inflamación sistémica: proporción de neutrófilos/linfocitos, proporción de plaquetas/linfocitos, proporción de linfocitos/monocitos, índice nutricional pronóstico, puntuación de pronóstico de Glasgow, puntuación de pronóstico de Nápoles, puntuación de inflamación sistémica e índice de inmunoinflamación sistémica. Los pacientes se clasificaron en grupos altos o bajos para cada índice. La relevancia pronóstica de estos índices para la supervivencia global se evaluó según el genotipo K-ras.RESULTADOS:Los análisis de supervivencia de Kaplan-Meier mostraron que la mediana de la supervivencia general difería significativamente entre los grupos alto y bajo para todos los índices en el grupo K-raswt pero no en el grupo K-rasMut, excepto para la puntuación de pronóstico de Glasgow y la proporción de linfocitos/monocitos. Los análisis de regresión multivariable de Cox identificaron todos los índices como factores pronósticos independientes. En el grupo K-raswt, todos los índices, excepto el cociente plaquetas/linfocitos, tuvieron fuertes efectos pronósticos, pero no en el grupo K-rasMut. Las pruebas de interacción indicaron que el genotipo K-ras influyó significativamente en los impactos pronósticos de la proporción de neutrófilos/linfocitos (p = 0,042), el índice nutricional pronóstico (p = 0,048), la puntuación pronóstica de Nápoles (p < 0,001) y el índice de inflamación inmunológica sistémica (p = 0,004).LIMITACIÓN:Una limitación importante de este estudio es la falta de validación externa.CONCLUSIÓNES:La importancia pronóstica de los índices de inflamación sistémica es más útil en pacientes con cáncer colorrectal metastásico K-raswt. Consulte Video Resumen en http://links.lww.com/DCR/B921 . (Traducción-Dr. Yolanda Colorado ).

Potential prognostic and predictive value of UBE2N, IMPDH1, DYNC1LI1 and HRASLS2 in colorectal cancer stool specimens

Colorectal cancer (CRC) is the most common gastrointestinal malignancy worldwide. The poor specificity and sensitivity of the fecal occult blood test has prompted the development of CRC-related genetic markers for CRC screening and treatment. Gene expression profiles in stool specimens are effective, sensitive and clinically applicable. Herein, a novel advantage of using cells shed from the colon is presented for cost-effective CRC screening. Molecular panels were generated through a series of leave-one-out cross-validation and discriminant analyses. A logistic regression model following reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry was used to validate a specific panel for CRC prediction. The panel, consisting of ubiquitin-conjugating enzyme E2 N (UBE2N), inosine monophosphate dehydrogenase 1 (IMPDH1), dynein cytoplasmic 1 light intermediate chain 1 (DYNC1LI1) and phospholipase A and acyltransferase 2 (HRASLS2), accurately recognized patients with CRC and could thus be further investigated as a potential prognostic and predictive biomarker for CRC. UBE2N, IMPDH1 and DYNC1LI1 expression levels were upregulated and HRASLS2 expression was downregulated in CRC tissues. The predictive power of the panel was 96.6% [95% confidence interval (CI), 88.1-99.6%] sensitivity and 89.7% (95% CI, 72.6-97.8%) specificity at a predicted cut-off value at 0.540, suggesting that this four-gene panel testing of stool specimens can faithfully mirror the state of the colon. On the whole, the present study demonstrates that screening for CRC or cancer detection in stool specimens collected non-invasively does not require the inclusion of an excessive number of genes, and colonic defects can be identified via the detection of an aberrant protein in the mucosa or submucosa.

DNA methylation profile in CpG-depleted regions uncovers a high-risk subtype of early-stage colorectal cancer

BACKGROUND

The current risk stratification system defined by clinicopathological features does not identify the risk of recurrence in early-stage (stage I-II) colorectal cancer (CRC) with sufficient accuracy. We aimed to investigate whether DNA methylation could serve as a novel biomarker for predicting prognosis in early-stage CRC patients.

METHODS

We analyzed the genome-wide methylation status of CpG loci using Infinium MethylationEPIC array run on primary tumor tissues and normal mucosa of early-stage CRC patients to identify potential methylation markers for prognosis. The machine-learning approach was applied to construct a DNA methylation-based prognostic classifier for early-stage CRC (MePEC) using the 4 gene methylation markers FAT3, KAZN, TLE4, and DUSP3. The prognostic value of the classifier was evaluated in 2 independent cohorts (n = 438 and 359, respectively).

RESULTS

The comprehensive analysis identified an epigenetic subtype with high risk of recurrence based on a group of CpG loci in the CpG-depleted region. In multivariable analysis, the MePEC classifier was independently and statistically significantly associated with time to recurrence in validation cohort 1 (hazard ratio = 2.35, 95% confidence interval = 1.47 to 3.76, P < .001) and cohort 2 (hazard ratio = 3.20, 95% confidence interval = 1.92 to 5.33, P < .001). All results were further confirmed after each cohort was stratified by clinicopathological variables and molecular subtypes.

CONCLUSIONS

We demonstrated the prognostic statistical significance of a DNA methylation profile in the CpG-depleted region, which may serve as a valuable source for tumor biomarkers. MePEC could identify an epigenetic subtype with high risk of recurrence and improve the prognostic accuracy of current clinical variables in early-stage CRC.

Clinicopathologic characteristics and prognosis of synchronous colorectal cancer: a retrospective study

BACKGROUND

The clinical characteristics of synchronous colorectal cancer (SCRC) reported in previous studies differ significantly. Furthermore, little is known about the characteristics of early-onset synchronous colorectal cancer (EO-SCRC). The aim of this retrospective study was to identify the clinicopathological characteristics of SCRC and EO-SCRC and define their relevant prognostic factors.

METHODS

Patients who underwent surgery for SCRC and primary unifocal colorectal cancer (PCRC) between January 2007 and December 2020 were included in this study. The clinical, histological, and molecular characteristics of the patient's tumours were analysed. The primary endpoint was overall survival (OS). Univariate and multivariate Cox regression analyses were used to assess the association between clinicopathological factors and patient survival.

RESULTS

A total of 1554 patients were included in the analysis. Of these, 1132 (72.84%) had PCRC and 422 (27.16%) had SCRC. SCRC occurred more frequently in the elderly (P < 0.001) and in male patients (P = 0.002). The 5-year OS rate was 73.7% ± 2.0% for PCRC and 61.9% ± 3.9% for SCRC (P < 0.05). However, the Cox regression analysis showed that SCRC was not an independent prognostic factor for the prediction of OS. A total of 64 patients (15.17%) in the SCRC group had early-onset colorectal cancer (EOCRC), whereas 257 (22.70%) in the PCRC group had EOCRC (P = 0.001). The proportion of patients with deficient mismatch repair proteins (dMMR) in EO-SCRC subgroup was significantly higher than that in late-onset synchronous colorectal cancer (LO-SCRC) subgroup (23.44% vs. 10.34%, P = 0.006). Patients with EO-SCRC had more TNM stage IV (P < 0.001) and fewer opportunities for radical surgery (79.69% vs. 92.22%, P = 0.007) than those with early-onset primary unifocal colorectal cancer (EO-PCRC). There was no significant difference in 5-year OS between the EO-SCRC and LO-SCRC subgroups (P = 0.091) and between the EO-SCRC and EO-PCRC subgroups (P = 0.094). Multivariate analysis revealed that EOCRC was an independent good prognostic parameter for colorectal cancer (CRC) and SCRC.

CONCLUSION

For patients with operative treatment, EO-SCRC is different from LO-SCRC and EO-PCRC. Patients with SCRC show a poorer survival rate than those with PCRC. However, SCRC is not an independent prognostic factor for CRC, whereas EOCRC is a good prognostic factor for CRC and SCRC.

Systemic Inflammation Status Relates to Anti-Inflammatory Drug Benefit and Survival in Rectal Cancer

BACKGROUND

Systemic inflammation status has been recognized as a sensitive marker associated with survival in cancers and anti-inflammatory treatment outcomes in inflammation-derived diseases. This study aimed to investigate the role of systemic inflammation status as a predictive marker for survival and anti-inflammatory treatment benefit in rectal cancer patients.

METHODS

A total of 475 patients with stage I-III rectal cancer receiving curative resection were prospectively enrolled. The platelet-neutrophils to lymphocytes ratio (PNLR) that integrates neutrophil-to-lymphocyte and platelet-to-lymphocyte ratios was applied to enable a comprehensive evaluation of systemic inflammation status and investigate its association with survival and nonsteroidal anti-inflammatory drugs (NSAIDs) benefit. Patients were grouped according to baseline PNLR and perioperative use of NSAIDs.

RESULTS

The high-PNLR group had worse 5-y disease-free survival (DFS) compared with the low-PNLR group (61.2% versus 70.9%, P = 0.014). Multivariate analyses confirmed that PNLR was an independent predictor for DFS (hazard ratio [HR] 1.42, 95% CI: 1.03-1.97, P = 0.031). A nomogram including PNLR and other independent prognostic factors was developed and validated to predict DFS. In the high-PNLR subset, NSAIDs group had a 21.3% lower risk of recurrence than non-NSAIDs group (P = 0.009), and multivariate analysis confirmed the independently significant association of perioperative NSAIDs use with better DFS (hazard ratio 0.36, 95% CI 0.16-0.78, P = 0.010). However, this association was not significant in the low-PLR subset.

CONCLUSIONS

Baseline PNLR could be used to predict DFS and NSAIDs benefit in rectal cancer patients. This study highlights the potential survival benefit from the anti-inflammatory treatment in the patients with elevated systemic inflammation status in cancer patients.

DNA methylation-based signature of CD8+ tumor-infiltrating lymphocytes enables evaluation of immune response and prognosis in colorectal cancer

Background

Tumor-infiltrating lymphocytes (TILs), especially CD8+ TILs, can be used for predicting immunotherapy responsiveness and survival outcome. However, the evaluation of CD8+ TILs currently relies on histopathological methodology with high variability. We therefore aimed to develop a DNA methylation signature for CD8+ TILs (CD8+ MeTIL) that could evaluate immune response and prognosis in colorectal cancer (CRC).

Methods

A CD8+ MeTIL signature score was constructed by using CD8+ T cell-specific differentially methylated positions (DMPs) that were identified from Illumina EPIC methylation arrays. Immune cells, colon epithelial cells, and two CRC cohorts (n=282 and 335) were used to develop a PCR-based assay for quantitative analysis of DNA methylation at single-base resolution (QASM) to determine CD8 + MeTIL signature score.

Results

Three CD8+ T cell-specific DMPs were identified to construct the CD8+ MeTIL signature score, which showed a dramatic discriminability between CD8+ T cells and other cells. The QASM assay we developed for CD8+ MeTIL markers could measure CD8+ TILs distributions in a fully quantitative, accurate, and simple manner. The CD8+ MeTIL score determined by QASM assay showed a strong association with histopathology-based CD8+ TIL counts and a gene expression-based immune marker. Furthermore, the low CD8+ MeTIL score (enriched CD8+ TILs) was associated with MSI-H tumors and predicted better survival in CRC cohorts.

Conclusions

This study developed a quantitative DNA methylation-based signature that was reliable to evaluate CD8+ TILs and prognosis in CRC. This approach has the potential to be a tool for investigations on CD8+ TILs and a biomarker for therapeutic approaches, including immunotherapy.