Liquid biopsy in colorectal cancer: Onward and upward

Colorectal cancer (CRC) remains a leading cause of cancer-related deaths worldwide. In recent years, liquid biopsy has emerged as one of the most interesting areas of research in oncology, leading to innovative trials and practical changes in all aspects of CRC management. RNAs and cell free DNA (cfDNA) methylation are emerging as promising biomarkers for early diagnosis. Post-surgical circulating tumour DNA (ctDNA) can aid in evaluating minimal residual disease and personalising adjuvant treatment. In rectal cancer, ctDNA could improve response assessment to neoadjuvant therapy and risk stratification, especially in the era of organ-preservation trials. In the advanced setting, ctDNA analysis offers the opportunity to monitor treatment response and identify driver and resistance mutations more comprehensively than traditional tissue analysis, providing prognostic and predictive information. The aim of this review is to provide a detailed overview of the clinical applications and future perspectives of liquid biopsy in CRC.

Preoperative treatments in borderline resectable and locally advanced pancreatic cancer: current evidence and new perspectives

Surgery is the only curative treatment for non-metastatic pancreatic adenocarcinoma, but less than 20% of patients present a resectable disease at diagnosis. Treatment strategies and disease definition for borderline resectable pancreatic cancer (BRPC) and locally advanced pancreatic cancer (LAPC) vary in the different cancer centres. Preoperative chemotherapy (CT) is the standard of care for both BRPC and LAPC patients, however literature data are still controversial concerning the type, dose and duration of the different CT regimens, as well as regarding the integration of radiotherapy (RT) or chemoradiation (CRT) in the therapeutic algorithm. In this unsettled debate, we aimed at focusing on the therapeutic regimens currently in use and relative literature data, to report international trials comparing the available therapeutic options or explore the introduction of new pharmacological agents, and to analyse possible new scenarios in microenvironment evaluation before and after neoadjuvant therapies or in patients' selection at a molecular level.

LDH as prognostic factor in second line treatment for advanced gastric cancer: The LINE study

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Background: Lactate dehydrogenase (LDH) is recognized as indirect marker of tumor hypoxia and angiogenesis for several solid tumors. Ramucirumab is the first antiangiogenic agent approved for second-line therapy in advanced gastric cancer (GC), alone or in association with chemotherapy. To date, no reliable biomarkers can predict the potential benefit from anti-VEGFR2 treatment. This retrospective multicenter study aimed to assess the prognostic role of baseline LDH levels in patients (pts) undergoing second-line treatment for advanced GC. Methods: The study analyzed a retrospective cohort of consecutive advanced GC pts treated with second line therapy at IRCCS, CRO of Aviano and at Mauriziano Hospital of Torino, Italy, from 2010 to 2020. LDH levels prior to second-line treatment were classified as low-normal or high and standardized according to the upper limit of the reference range. To better determine the optimal LDH cut-off value, ROC analysis was performed (using PFS < 3 months as binary outcome). Normalized LDH values were subsequently sorted according to the ROC curve cut-off in order to test the association with overall survival (OS) through the Kaplan-Meier method and compared using the Log-Rank test. A multivariate Cox regression analysis assessed the prognostic impact of normalized LDH levels for OS calculated from the start of second line treatment. Results: Overall, 125 pts were enrolled. Of these, 81 pts (64.80%) received ramucirumab alone or plus paclitaxel as second line treatment, while 44 (35.20%) had taxanes or fluoropyrimidines combined with irinotecan. Median age was 68 years, 93% had an ECOG PS ≤ 1, 64.80% was first diagnosed with metastatic disease and 40.80% underwent primary tumor resection. Median second line PFS and OS were 4.2 and 7.9 months, respectively. Baseline LDH values were available for 99 pts. ROC analysis identified a normalized LDH value of 0.83 as the optimized cut-off point to define pts with poor prognosis. At univariate analyses, surgery of the primary tumor (HR 0.51, 95% CI 0.31-0.82, p = 0.005) was associated with better OS, while low-normal BMI ( < 25 kg/m2) at second line start (HR 1.99, 95% CI 1.21-3.28, p = 0.007), normalized LDH values ≥ 0.83 (HR 1.86, 95% CI 1.13-3.07, p = 0.015) and PS > 1 (HR 5.65, 95% CI 2.29-13.92, p < 0.001) were associated with poorer outcome. At multivariable model, only PS > 1 was independently associated with poor prognosis (HR 9.93, 95% CI 3.27-30.08, p < 0.001). Subgroup analyses showed no significant heterogeneity in OS outcome according to normalized LDH levels between patients treated with or without ramucirumab. Conclusions: Elevated LDH levels are indicators of worse outcome in advanced gastric cancer pts. Notably, the LDH cut-off value identified a poor prognosis subgroup among pts with normal baseline levels, suggesting that current laboratory ranges could be suboptimal for patient stratification.

Prognostic role of macrophage infiltration and monocyte-to-lymphocyte ratio in stage III colon cancer: The MIRROR study

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Background: Changes in peripheral blood cells composition may reflect immune microenvironment and its role in cancer growth. High monocyte-to-lymphocyte ratio (MLR) could be a marker of tumor’s recruitment of suppressive cells, showing a prognostic role. This study aimed to assess the prognostic impact of macrophage infiltration and MLR in stage III colon cancer (CC) patients (pts). Methods: This multicentric study retrospectively analyzed a consecutive cohort of 423 CC pts treated between 2008-2019 at the Cancer Centre of Aviano (Italy) (n = 300) and at the European Georges Pompidou Hospital of Paris (France) (n = 123). The association of MLR with disease-free survival (DFS) and overall survival (OS) was evaluated with Cox regression analyses. Random Forrest was implemented on python using h2oai. Performance was assessed in terms of accuracy (ACC) and Matthews Coefficient (MCC). Analyses was adjusted on classical prognostic factors of stage III CC such as pT, pN, grade, location, ECOG PS. Results: Overall, 77% had pT1-3, 30% pN2 and 73% G1-2 tumors. Interestingly, 25% had a lymphatic and vascular invasion, 42/230 (18%) had MSI status, 69/152(45%) and 19/114 (13%) were KRAS and BRAF mutant. 56% had CEA > 5. Pts were treated with fluoropyrimidine and oxaliplatin as adjuvant therapy. Notably, 130 cases were analyzed according to lymphocytic and macrophage infiltration (CD163, CD68, CD3, CD8). Of them, 78% had a CD163/CD8 ratio ≤3 and 74% a CD8/CD3 ratio ≤1.5. At median follow-up of 57 months, median DFS and OS were not reached, 31% of pts relapsed and 23% dead. By multivariate analysis, including statistically significant prognostic variables, CD163/CD8 ratio (HR 1.15, p = 0.039, 95%C.I. 1.1-1.32) and MLR > 0.45 (HR 2.98, p = 0.008, 95%C.I. 1.33-6.67) were associated with worse DFS. By multivariate analysis for OS, including statistically significant confounding variables, MLR > 0.45 (HR4.32, P = 0.012, 95%C.I. 1.37-9) and BRAF mutation predicted worse OS. According random survival forest for OS, CD68/CD3 were the first variable of importance (0.06), followed by MLR (0.009) and CD8 (0.007). Interestingly, high MLR followed by CEA, MSI, KRAS were the features linked with organotropism on liver (ACC 0.6 ±0.3), while high MLR, KRAS, pN, pT were mainly linked with lung colonization (ACC 0.6 ±0.2). Conclusions: High pre-treatment levels of MLR and CD163/CD8 ratio in stage III CC are independently associated with worse prognosis. The present study paves the way to a prospective validation of these promising cost-effective biomarkers.

Accuracy of right atrial pressure estimation using a multi-parameter approach derived from inferior vena cava semi-automated edge-tracking echocardiography: a pilot study in patients with cardiovascular disorders

The echocardiographic estimation of right atrial pressure (RAP) is based on the size and inspiratory collapse of the inferior vena cava (IVC). However, this method has proven to have limits of reliability. The aim of this study is to assess feasibility and accuracy of a new semi-automated approach to estimate RAP. Standard acquired echocardiographic images were processed with a semi-automated technique. Indexes related to the collapsibility of the vessel during inspiration (Caval Index, CI) and new indexes of pulsatility, obtained considering only the stimulation due to either respiration (Respiratory Caval Index, RCI) or heartbeats (Cardiac Caval Index, CCI) were derived. Binary Tree Models (BTM) were then developed to estimate either 3 or 5 RAP classes (BTM3 and BTM5) using indexes estimated by the semi-automated technique. These BTMs were compared with two standard estimation (SE) echocardiographic methods, indicated as A and B, distinguishing among 3 and 5 RAP classes, respectively. Direct RAP measurements obtained during a right heart catheterization (RHC) were used as reference. 62 consecutive 'all-comers' patients that had a RHC were enrolled; 13 patients were excluded for technical reasons. Therefore 49 patients were included in this study (mean age 62.2 ± 15.2 years, 75.5% pulmonary hypertension, 34.7% severe left ventricular dysfunction and 51% right ventricular dysfunction). The SE methods showed poor accuracy for RAP estimation (method A: misclassification error, ME = 51%, R² = 0.22; method B: ME = 69%, R² = 0.26). Instead, the new semi-automated methods BTM3 and BTM5 have higher accuracy (ME = 14%, R² = 0.47 and ME = 22%, R² = 0.61, respectively). In conclusion, a multi-parametric approach using IVC indexes extracted by the semi-automated approach is a promising tool for a more accurate estimation of RAP.