Effectiveness of Immunotherapy in Non-Small Cell Lung Cancer Patients with a Diagnosis of COPD: Is This a Hidden Prognosticator for Survival and a Risk Factor for Immune-Related Adverse Events?

The interplay between the immune system and chronic obstructive pulmonary disease (COPD) and non-small cell lung cancer (NSCLC) is complex and multifaceted. In COPD, chronic inflammation and oxidative stress can lead to immune dysfunction that can exacerbate lung damage, further worsening the respiratory symptoms. In NSCLC, immune cells can recognise and attack the cancer cells, which, however, can evade or suppress the immune response by various mechanisms, such as expressing immune checkpoint proteins or secreting immunosuppressive cytokines, thus creating an immunosuppressive tumour microenvironment that promotes cancer progression and metastasis. The interaction between COPD and NSCLC further complicates the immune response. In patients with both diseases, COPD can impair the immune response against cancer cells by reducing or suppressing the activity of immune cells, or altering their cytokine profile. Moreover, anti-cancer treatments can also affect the immune system and worsen COPD symptoms by causing lung inflammation and fibrosis. Immunotherapy itself can also cause immune-related adverse events that could worsen the respiratory symptoms in patients with COPD-compromised lungs. In the present review, we tried to understand the interplay between the two pathologies and how the efficacy of immunotherapy in NSCLC patients with COPD is affected in these patients.

Untailored vs. Gender- and Body-Mass-Index-Tailored Skeletal Muscle Mass Index (SMI) to Assess Sarcopenia in Advanced Head and Neck Squamous Cell Carcinoma (HNSCC)

(1) Background: Sarcopenia lasting >1 year might be considered a chronic condition in many HNSCC patients. CT-scan-derived Skeletal Muscle Mass Index (SMI) is an established surrogate of sarcopenia; yet, the cut-off reported in the literature (literature-based, lb-SMI < 43.2) is mainly based on the risk of chemoradiotherapy-induced toxicity, and the optimal value to discriminate OS is under-investigated. (2) Methods: The effect on OS of the lb-SMI cutoff was compared with an untailored OS-oriented SMI cutoff obtained in a cohort of consecutive advanced HNSCC patients treated with primary chemoradiotherapy, bio-chemotherapy or chemo-immunotherapy (cohort-specific, cs-SMI cutoff). Gender- and BMI-tailored (gt-SMI and bt-SMI) cut-offs were also evaluated. Cutoff values were identified by using the maximally selected rank statistics for OS. (3) Results: In 115 HNSCC patients, the cs-SMI cutoff was 31.50, which was lower compared to the lb-SMI reported cut-off. The optimal cut-off separately determined in females, males, overweight and non-overweight patients were 46.02, 34.37, 27.32 and 34.73, respectively. gt-SMI categorization had the highest effect on survival (p < 0.0001); its prognostic value was independent of the treatment setting or the primary location and was retained in a multivariate cox-regression analysis for OS including other HNSCC-specific prognostic factors (p = 0.0004). (4) Conclusions: A tailored SMI assessment would improve clinical management of sarcopenia in chemoradiotherapy-, bio-chemotherapy- or chemo-immunotherapy-treated HNSCC patients. Gender-based SMI could be used for prognostication in HNSCC patients.

Antibody-Drug Conjugates for the Treatment of Renal Cancer: A Scoping Review on Current Evidence and Clinical Perspectives

Antibody-drug conjugates (ADCs) are complex chemical structures composed of a monoclonal antibody, serving as a link to target cells, which is conjugated with a potent cytotoxic drug (i.e., payload) through a chemical linker. Inspired by Paul Ehrlich's concept of the ideal anticancer drug as a "magic bullet", ADCs are also highly specific anticancer agents, as they have been demonstrated to recognize, bind, and neutralize cancer cells, limiting injuries to normal cells. ADCs are among the newest pharmacologic breakthroughs in treating solid and hematologic malignancies. Indeed, in recent years, various ADCs have been approved by the Food and Drug Administration and European Medicines Agency for the treatment of several cancers, resulting in a "practice-changing" approach. However, despite these successes, no ADC is approved for treating patients affected by renal cell carcinoma (RCC). In the present paper, we thoroughly reviewed the current literature and summarized preclinical studies and clinical trials that evaluated the activity and toxicity profile of ADCs in RCC patients. Moreover, we scrutinized the potential causes that, until now, hampered the therapeutical success of ADCs in those patients. Finally, we discussed novel strategies that would improve the development of ADCs and their efficacy in treating RCC patients.

HIF2α, Hepcidin and their crosstalk as tumour-promoting signalling

Not all aspects of the disruption of iron homeostasis in cancer have been fully elucidated. Iron accumulation in cancer cells is frequent for many solid tumours, and this is often accompanied by the contemporary rise of two key iron regulators, HIF2α and Hepcidin. This scenario is different from what happens under physiological conditions, where Hepcidin parallels systemic iron concentrations while HIF2α levels are inversely associated to Hepcidin. The present review highlights the increasing body of evidence for the pro-tumoral effect of HIF2α and Hepcidin, discusses the possible imbalance in HIF2α, Hepcidin and iron homeostasis during cancer, and explores therapeutic options relying on these pathways as anticancer strategies.

Irinotecan- vs. Oxaliplatin-Based Doublets in KRASG12C-Mutated Metastatic Colorectal Cancer-A Multicentre Propensity-Score-Matched Retrospective Analysis

BACKGROUND

KRAS^G12C-mutated metastatic colorectal cancer (mCRC) has recently been recognized as a distinct druggable molecular entity; however, there are limited data on its sensitivity to standard chemotherapy. In the near future, the combination of chemotherapy plus a KRAS^G12C-inhibitor might become the standard of care; however, the optimal chemotherapy backbone is unknown.

METHODS

A multicentre retrospective analysis was conducted including KRAS^G12C-mutated mCRC patients treated with first-line FOLFIRI or FOLFOX +/- bevacizumab. Both unmatched and propensity-score-matched analysis (PSMA) were conducted, with PSMA controlling for: previous adjuvant chemotherapy, ECOG PS, use of bevacizumab in first line, timing of metastasis appearance, time from diagnosis to first-line start, number of metastatic sites, presence of mucinous component, gender, and age. Subgroup analyses were also performed to investigate subgroup treatment-effect interactions. KRAS^G12D-mutated patients were analysed as control.

RESULTS

One hundred and four patients treated with irinotecan-(N = 47) or oxaliplatin-based (N = 57) chemotherapy were included. In the unmatched population, objective response rate (ORR) and median (m) progression-free and overall survival (mPFS and mOS) were comparable between the treatment arms. However, a late (>12 months) PFS advantage was observed with irinotecan (HR 0.62, p = 0.02). In the PSMA-derived cohort, a significant improvement with irinotecan vs. oxaliplatin was observed for both PFS and OS: 12- and 24-month PFS rates of 55% vs. 31% and 40% vs. 0% (HR 0.40, p = 0.01) and mOS 37.9 vs. 21.7 months (HR 0.45, p = 0.045), respectively. According to the subgroup analysis, interaction effects between the presence of lung metastases and treatment groups were found in terms of PFS (p for interaction = 0.08) and OS (p for interaction = 0.03), with a higher benefit from irinotecan in patients without lung metastases. No difference between treatment groups was observed in the KRAS^G12D-mutated cohort (N = 153).

CONCLUSIONS

First-line irinotecan-based regimens provided better survival results in KRAS^G12C-mutated mCRC patients and should be preferred over oxaliplatin. These findings should also be considered when investigating chemotherapy plus targeted agent combinations.

Biospecimen Digital Twins: Moving from a "High Quality" to a "Fit-for-Purpose" Concept in the Era of Omics Sciences

The growing demand for personalized medicine we are currently witnessing has given rise to more in-depth research in the field of biomarker discovery and, thus, in biological banks that hold the ability to process, collect, store, and distribute "high-quality" biological specimens. However, the notion of "specimen quality" is subject to change with technological advancements. In this perspective, we propose that the notion of sample quality should shift from a broad definition of "high-quality" to a "fit-for-purpose" concept more suitable for precision medicine studies. Digital twins are a digital replica of real entities. These are largely adopted in any digitalized domain and are currently finding applications in biomedicine. The adoption of digital twins for biosamples, proposed in this paper, can provide prompt information about the whole lifecycle of the physical twin (i.e., the biosample) and substantially extend the possible matching criteria between the available samples and the researchers' and physicians' requests. This fine-tuning matching could greatly contribute to improving the "fit-for-purpose" quality, not only for studies based on current needs, but also to improve the identification of the best available samples in future situations, determined by the evolution of technologies and biosciences. Assuming and exploiting a data-science view in our biobank perspective, the more (accurate) data there are available, the more information can be extrapolated from them, the more opportunities there are for matching future, currently unknown, needs. This should be a mandatory principle that the 'time machines' called biobanks should follow.

Obesity and Breast Cancer: Interaction or Interference with the Response to Therapy?

Background: Aromatase inhibitors (AI) are widely used for treating hormone-sensitive breast cancer (BC). Obesity, however, due to aromatase-mediated androgen conversion into estradiol in the peripheral adipose tissue, might impair AI inhibitory capacity. We aimed at identifying a cut-off of body mass index (BMI) with significant prognostic impact, in a cohort of stage I-II BC patients on systemic adjuvant therapy with AI. Methods: we retrospectively evaluated routinely collected baseline parameters. The optimal BMI cut-off affecting disease-free survival (DFS) in AI-treated BC patients was identified through maximally selected rank statistics; non-linear association between BMI and DFS in the AI cohort was assessed by hazard-ratio-smoothed curve analysis using BMI as continuous variable. The impact of the BMI cut-off on survival outcomes was estimated through Kaplan−Meier plots, with log-rank test and hazard ratio estimation comparing patient subgroups. Results: A total of 319 BC patients under adjuvant endocrine therapy and/or adjuvant chemotherapy were included. Curve-fitting analysis showed that for a BMI cut-off >29 in AI-treated BC patients (n = 172), DFS was increasingly deteriorating and that the impact of BMI on 2-year DFS identified a cut-off specific only for the cohort of postmenopausal BC patients under adjuvant therapy with AI. Conclusion: in radically resected hormone-sensitive BC patients undergoing neoadjuvant or adjuvant chemotherapy and treated with AI, obesity represents a risk factor for recurrence, with a significantly reduced 2-year DFS.

Nutritional index for immune-checkpoint inhibitor in patients with metastatic gastro-esophageal junction/gastric cancer

BACKGROUND

Nutritional status is strongly associated to prognosis in metastatic gastrooesophageal junction (mGOJ)/gastric cancer (GC) patients. The aim of the present study was to develop an immune-checkpoint inhibitor (ICI)-specific nutritional index (NI).

METHODS

Ten serum and anthropometric nutritional markers derived from blood tests or CT scans were analyzed at baseline in patients treated with second-line ICI and correlated with overall survival (OS). An ICI-specific NI (the NUTRIICI) was developed with its specificity assessed in an independent group of patients treated with standard second-line chemotherapy.

RESULTS

From June 2014 to December 2018, 57 mGOJ/GC patients (14 females, 43 males) with a median(m) age of 61 years (range 29-85) received ICI as second-line therapy (Pembrolizumab n=26, Nivolumab n=16, Avelumab n=15). Among the 10 analyzed variables, Onodera's prognostic NI (PNI) ≤33 and waist-to-hip (WHR) <1 were independent predictors of OS and used to build the NUTRIICI. Patients with both favorable factors (i.e., PNI >33 and WHR ≥1, comparator group) had a mOS of 18.0 vs. 6.7 months of patients with one unfavorable factor (either PNI ≤33 or WHR <1, Hazard Ratio, HR 3.06), vs. 1.3 months of patients with both unfavorable factors (HR 17.56), overall P<0.0001. In the independent group of patients treated with standard chemotherapy NUTRIICI was not associated with prognosis (P=0.57).

CONCLUSIONS

NUTRIICI is the first ICI-specific NI for mOGJ/GC patients receiving second-line ICI. A validation in larger cohorts is strongly encouraged.

Artificial Intelligence Predictive Models of Response to Cytotoxic Chemotherapy Alone or Combined to Targeted Therapy for Metastatic Colorectal Cancer Patients: A Systematic Review and Meta-Analysis

Tailored treatments for metastatic colorectal cancer (mCRC) have not yet completely evolved due to the variety in response to drugs. Therefore, artificial intelligence has been recently used to develop prognostic and predictive models of treatment response (either activity/efficacy or toxicity) to aid in clinical decision making. In this systematic review, we have examined the ability of learning methods to predict response to chemotherapy alone or combined with targeted therapy in mCRC patients by targeting specific narrative publications in Medline up to April 2022 to identify appropriate original scientific articles. After the literature search, 26 original articles met inclusion and exclusion criteria and were included in the study. Our results show that all investigations conducted on this field have provided generally promising results in predicting the response to therapy or toxic side-effects. By a meta-analytic approach we found that the overall weighted means of the area under the receiver operating characteristic (ROC) curve (AUC) were 0.90, 95% C.I. 0.80-0.95 and 0.83, 95% C.I. 0.74-0.89 in training and validation sets, respectively, indicating a good classification performance in discriminating response vs. non-response. The calculation of overall HR indicates that learning models have strong ability to predict improved survival. Lastly, the delta-radiomics and the 74 gene signatures were able to discriminate response vs. non-response by correctly identifying up to 99% of mCRC patients who were responders and up to 100% of patients who were non-responders. Specifically, when we evaluated the predictive models with tests reaching 80% sensitivity (SE) and 90% specificity (SP), the delta radiomics showed an SE of 99% and an SP of 94% in the training set and an SE of 85% and SP of 92 in the test set, whereas for the 74 gene signatures the SE was 97.6% and the SP 100% in the training set.

Immune Response in Vitamin D Deficient Metastatic Colorectal Cancer Patients: A Player That Should Be Considered for Targeted Vitamin D Supplementation

Background: Vitamin D deficiency is a poor prognostic factor in metastatic colorectal cancer (mCRC); however, targeted supplementation trials have so far yielded limited results. We investigated clinical-laboratory parameters influencing vitamin D deficiency, with a particular focus on immune response, and the effect on survival. These parameters could help optimize targeted supplementation therapy. Methods: Association of plasma 25-hydroxyvitamin D (25(OH])D) with overall survival (OS) was assessed with the Hazard Ratio Smoothed Curve with Restricted Cubic Splines (HRSC-RCS) and maximally selected rank statistics (MSRS) in mCRC patients who underwent first-line chemotherapy. Several hematobiochemical variables were evaluated as predictors of vitamin D deficiency by means of Least Absolute Shrinkage and Selection Operator (LASSO) analysis. In a patient subset, peripheral lymphocyte subpopulations were also analyzed. Results: One hundred thirty-three mCRC patients were included. The median(m) baseline 25(OH)D was 10.8 ng/mL (range 3−53.4). HRSC-RCS revealed a linear association between 25(OH)D and OS. MSRS found 10 ng/mL as the optimal 25(OH)D cut-off. The median OS for 25(OH)D < 10 (n = 60) vs. > 10 ng/mL (n = 73) was 12.3 and 24.5 months, respectively (p = 0.002). The LASSO analysis identified high neutrophil-to-lymphocyte ratio (NLR > 3.5) as the strongest predictor of vitamin D deficiency (Odds Ratio 3.35, p 0.0009). Moreover, patients with low 25(OH)D levels (< 10 ng/mL) and high NLR (>3.5) had the shortest survival and patients with 25(OH)D >10 ng/mL and NLR <3.5 had the longest: mOS 8.1 and 28.1 months, respectively, HR 3.40 (1.76−6.59), p 0.0004. Besides the significant difference in NLR between 25(OH)D < and > 10 ng/mL patients (mNLR 3.6 vs. 2.9, p 0.03), the lymphocyte subpopulation analysis revealed that vitamin D deficiency was associated with high T- CD4+ (p = 0.04) and low B (p = 0.03) lymphocyte frequency. Conclusions: NLR is a powerful predictor of Vitamin D deficiency and can further help in stratifying prognosis. Vitamin D deficiency was associated with significant variations in peripheral immune cells. We hypothesize that integrated targeted interventions to both vitamin D and immune system would improve the prognosis of mCRC patients.

KRAS and BRAF Mutations in Stage II/III Colon Cancer: A Systematic Review and Meta-Analysis

BACKGROUND

KRAS and BRAF mutations are well-established predictive and prognostic factors in metastatic colorectal cancer, however their impact in the adjuvant setting has not yet been established.

METHODS

We performed a meta-analysis of adjuvant phase III trials in patients with stage II and III colon cancer with available data on the impact of KRAS/BRAF mutations on both disease-free survival (DFS) and overall survival (OS). Trials were subgrouped based on whether adjustment for microsatellite instability (MSI) was performed and the subgroup effect was analyzed through a meta-regression. To increase the precision of the estimates, a joint DFS/OS (so-called 'multivariate') meta-analysis was performed. All statistical tests were 2-sided.

RESULTS

Nine trials were selected (QUASAR 2, PETACC-8, N0147, CALGB-89803, NSABP-C07, NSABP-C08, PETACC-3, QUASAR, MOSAIC) including a total of 10893 patients. In the primary meta-analysis, KRAS mutation was associated with poor DFS (pooled HR = 1.36, 95% CI = 1.15-1.61, P < .001) and OS (pooled HR = 1.27, 95% CI = 1.03-1.55, P = .03) and BRAF mutation was also associated with poor DFS (pooled HR = 1.33, 95% CI = 1.00-1.78, P = .05) and OS (pooled HR = 1.49, 95% CI = 1.31-1.70, P < .001). MSI adjustment enhanced the effect of the mutations on outcome in the MSI-adjusted subgroup for both the KRAS mutation (pooled HR for DFS = 1.43, 95% CI = 1.15-1.79, P = .001; and pooled HR for OS = 1.33, 95% CI = 1.03-1.71, P = .03) and the BRAF mutation (pooled HR for DFS = 1.59, 95% CI = 1.22-2.07, P = .001; and pooled HR for OS = 1.67, 95% CI = 1.37-2.04, P < .001). The interaction between BRAF and MSI adjustment was statistically significant for DFS (P interaction = 0.02). This interaction was even more pronounced in the DFS/OS multivariate meta-analysis.

CONCLUSIONS

Both KRAS and BRAF mutations were statistically significantly associated with both DFS and OS, with the mutation effect being enhanced by MSI adjustment. Effective adjuvant treatment for microsatellite stable BRAF or KRAS-mutated colon cancer represents an unmet clinical need and exploring the use of recently available BRAF and KRAS inhibitors in this setting would be highly desirable.

Irinotecan or Oxaliplatin: Which is the First Move for the Mate?

OBJECTIVES

The aim of the present review is to discuss the potential link between RAS, BRAF and microsatellite instability (MSI) mutational patterns and chemotherapeutic agent efficacy [Irinotecan (IRI) vs. Oxaliplatin (OXA)], and how this can potentially influence the choice of the chemotherapy backbone.

METHODS

Following a review of the research literature, all pertinent articles published in the core journals were selected for the study. The inclusion criteria regarded relevant clinical and pre-clinical studies on the topic of interest (Relationship of OXA and IRI to KRAS/BRAF mutations and MSI).

RESULTS

Excision repair cross complementation group 1 (ERCC1) expression is inhibited by KRAS mutation, making tumor cells more sensitive to OXA. Results from OPUS, COIN and PRIME trials support that no conclusive data are available for BRAF mutant population because of the small number of patients. Enhanced IRI cytotoxicity to MSI cell lines is due to the participation of some of the mismatch repair (MMR) components in various DNA repair processes and their role in the maintenance of the pro-apoptotic effect of IRI and G2/M cell arrest.

CONCLUSION

OXA and IRI are indispensable drugs for mCRC treatment and their selection must be as careful as that of targeted agents. We suggest taking into consideration the interaction between known genomic alterations and OXA and IRI activity to personalize chemotherapy in mCRC patients.

Artificial intelligence for the study of colorectal cancer tissue slides

Artificial intelligence (AI) is gaining incredible momentum as a companion diagnostic in a number of fields in oncology. In the present mini-review, we summarize the main uses and findings of AI applied to the analysis of digital histopathological images of slides from colorectal cancer (CRC) patients. Machine learning tools have been developed to automatically and objectively recognize specific CRC subtypes, such as those with microsatellite instability and high lymphocyte infiltration that would optimally respond to specific therapies. Also, AI-based classification in distinct prognostic groups with no studies of the basic biological features of the tumor have been attempted in a methodological approach that we called “biology-agnostic”.

Predicting VTE in Cancer Patients: Candidate Biomarkers and Risk Assessment Models

Risk prediction of chemotherapy-associated venous thromboembolism (VTE) is a compelling challenge in contemporary oncology, as VTE may result in treatment delays, impaired quality of life, and increased mortality. Current guidelines do not recommend thromboprophylaxis for primary prevention, but assessment of the patient's individual risk of VTE prior to chemotherapy is generally advocated. In recent years, efforts have been devoted to building accurate predictive tools for VTE risk assessment in cancer patients. This review focuses on candidate biomarkers and prediction models currently under investigation, considering their advantages and disadvantages, and discussing their diagnostic performance and potential pitfalls.

Fibrinogen Binding Is Independent of an Increase in Intracellular Calcium Concentration in Thrombin Degranulated Platelets

In a suspension of thrombin degranulated platelets (TDP), ADP and epinephrine can induce platelet aggregation, whereas the synthetic agonist of the thromboxane/endoperoxide receptor U46619 causes only shape change. However, U46619 can enhance platelet aggregation induced by ADP and epinephrine. In this paper, we have measured fibrinogen binding in relation to phospholipase C(PLC) activation and calcium mobilization in TDP activated by ADP, epinephrine and U46619.

ADP caused fibrinogen binding in TDP but neither activated PLC nor caused a calcium mobilization. The requirement for ADP in inducing exposure of fibrinogen binding sites was not absolute since the combination of epinephrine and U46619 produced an increase in fibrinogen binding. U46619 caused significant PLC activation and cytosolic calcium release but not fibrinogen binding. These results suggest that in TDP the exposure of fibrinogen binding sites, after agonist activation, is independent of both PLC activation and calcium mobilization.

Evidence for Platelet αIIbβ3 Activation despite Elevated Cytosolic cAMP

Cyclic nucleotides, such as cAMP, are known to inhibit the multistep cascade that results in platelet aggregation. In the present study we provide evidence that it is possible to bypass cAMP inhibitory effect on fibrinogen binding site exposure induced by the thromboxane A2 synthetic analogue U46619, the snake venom toxin convulxin, or by the direct PKC activator OAG, by concomitantly activating a Gi-coupled receptor by means of epinephrine or by inducing cytosolic calcium influx by means of ionomycin. In fact, in our study we demonstrate that, in iloprost-treated platelets, the inhibition of both platelet aggregation and fibrinogen binding was overcome by adding epinephrine or ionomycin. To further confirm this, we used the cAMP analogue dibutyryl cAMP and we obtained platelet aggregation in response to U46619, convulxin or OAG plus epinephrine. Moreover, a complete inhibition of platelet aggregation in the presence of high concentrations of cAMP was observed only in the case of U46619, while a small percentage of aggregation persisted when convulxin or OAG were used, due to the small amount of ADP that both convulxin and OAG are able to release.

Since PKC inhibition didn’t allow platelet aggregation to occur in response to the concomitant activation of U46619 or convulxin, plus epinephrine or ionomycin, we can conclude that cAMP-induced inhibition of aggregation can be counteracted by the simultaneous activation of PKC in the presence of an activated Gi-coupled receptor or of an induced calcium influx.

BMI and health-related quality of life (HR-QoL) in patients with metastatic colorectal cancer (mCRC)

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Background: Relationship between BMI and HR-QoL has been extensively studied in CRC survivors. Increasing BMI has been recently associated with improved survival in mCRC pts, however data on the relationship between BMI and common HR-QoL measures in mCRC are scarce Methods: The EORTC QLC C30 and the NCCN distress thermometer (DT) and problem list (PL) questionnaires were administered to consecutive mCRC pts candidate for firstline chemotherapy. The effect of BMI on HR-QoL were analyzed using the Kruskal-Wallis and Mann-Whitney tests. The interaction between BMI and other variables of interest (such as inflammatory indexes) for the effect on HR-QoL was also analysed using a logistic regression analysis Results: Of 135 screened pts, 119 completed the questionnaires. A direct association was observed between BMI and GH score, with the score gradually improving from BMI 14 to 21, then plateauing between 21 and 41. A significantly lower GH was observed for BMI < 21 vs > 21 (GH 50 vs 67, p 0.014). DT and BMI were not correlated. BMI was inversely associated with practical problems (mean number of reported problems 0.7 vs 0.4 for BMI < 24 vs > 24, p0.012). The other components inversely associated with BMI were appetite loss, pain and fatigue (which were higher for BMI < 21 , p values 0.033, 0.015 and 0.007, respectively). A direct association with BMI was also observed for social and physical functioning (p values 0.002 and 0.05, respectively). Median BMI in pts with GH score < 25 vs > 25 was 19 vs 25, p 0.05. Percentage of pts with very low BMI (BMI < 21) was 38% vs 2% for pts with GH < 25 vs > 25, respectively, Odds Ratio 32.4, p 0.0007. Among 15 common clinical and biochemical analysed variables, the inflammatory index neutrophil/lymphocyte ratio (NLR) demonstrated a significant interaction with BMI for the effect on GH, with the direct association between BMI and GH only retained in pts with low NLR and a deteriorated GH in pts with high NLR regardless of BMI, test for interaction p 0.013 Conclusions: Low BMI is associated with deteriorated HR-QoL in mCRC pts with low NLR approaching a first-line treatment. Adequate nutritional support and anti-inflammatory approaches would improve HR-QoL in these pts.

Ketogenic Diet and Other Dietary Intervention Strategies in the Treatment of Cancer

Pre-clinical and clinical studies have investigated the role of a dysregulated metabolism in the sustainability of tumor initiation and progression. One of the most familiar metabolic alterations encountered in several types of cancers is the upregulation of glycolysis, which is also maintained in conditions of normal oxygen tension (aerobic glycolysis, Warburg effect) while oxidative phosphorylation is apparently reduced. As a result, cancer cells convert most incoming glucose to lactate. Although more rapid, adenosine triphosphate (ATP) production by glycolysis is less efficient in terms of ATP generated per unit of glucose consumed than oxidative phosphorylation. The consequence is that tumor cells require an abnormally higher rate of glucose compared to the normal counterpart. New evidence shows that other metabolic substrates such as glutamine may also have an important role in cancer metabolism. Ketogenic diet (KD) replaces all but non-starchy vegetable carbohydrates with low to moderate amounts of proteins and high amounts of monounsaturated and polyunsaturated fats. The rationale of KD is valid both because it lowers carbohydrate uptake possibly leading to cancer cell starvation and apoptosis and, at the same time, increases the levels of ketone bodies available for energy production in normal cells but not in cancer cells which have an allegedly downregulated oxidative phosphorylation. For this reason, several authors speculate on the possibility to evaluate KD as a novel approach in the treatment of cancer. In this review we will assess the data supporting the use of such alimentary regimen and its impact on tumor development and progression.

Clinical significance of glycemic parameters on venous thromboembolism risk prediction in gastrointestinal cancer

AIM

To investigate the possible predictive role of routinely used glycemic parameters for a first venous thromboembolism (VTE) episode in gastrointestinal (GI) cancer ambulatory patients - with or without clinically diagnosed type 2 diabetes (T2D) or obesity - treated with chemotherapy.

METHODS

Pre-treatment fasting blood glucose, insulin, glycated hemoglobin (HbA_1c) and homeostasis model of risk assessment (HOMA) were retrospectively evaluated in a cohort study of 342 GI cancer patients. Surgery was performed in 142 (42%) patients with primary cancer, 30 (21%) and 112 (79%) of whom received neoadjuvant and adjuvant therapies, respectively. First-line chemotherapy was administered in 200 (58%) patients with metastatic disease. The study outcome was defined as the occurrence of a first symptomatic or asymptomatic VTE episode during active treatment.

RESULTS

Impaired glucose tolerance (IGT) or T2D were diagnosed in 30% of GI cancer patients, while overweight/obesity had an incidence of 41%. VTE occurred in 9.4% of patients (7% of non-diabetic non-obese), especially in those with a high ECOG score (P = 0.025). No significant association was found between VTE incidence and T2D, obesity, different tumor types, metastatic disease, Khorana class of risk, or different anti-cancer drugs, although VTE rates were substantially higher in patients receiving bevacizumab (17% vs 8%, P = 0.044). Conversely, all glucose metabolic indexes were associated with increased VTE risk at ROC analysis. Multivariate Cox proportional analyses confirmed that HOMA index (HR = 4.13, 95%CI: 1.63-10.5) or fasting blood glucose (HR = 3.56, 95%CI: 1.51-8.39) were independent predictors of VTE occurrence during chemotherapy.

CONCLUSION

The results here reported demonstrate that evaluating glucose metabolic asset may allow for VTE risk stratification in GI cancer, helping to identify chemotherapy-treated patients who might benefit from thromboprophylaxis. Further multicenter prospective studies involving a larger number of patients are presently needed.

Neutrophil/lymphocyte ratio helps select metastatic pancreatic cancer patients benefitting from oxaliplatin

BACKGROUND

High Neutrophil/Lymphocyte ratio (NLR), as a measure of enhanced inflammatory response, has been negatively associated with prognosis in patients with localized pancreatic ductal adenocarcinoma (PDA).

OBJECTIVE

In the present study, we aimed at investigating the prognostic value of NLR in two homogeneous groups of chemotherapy-naïve metastatic PDA patients. Patients were treated with either gemcitabine (GEM) or gemcitabine/oxaliplatin (GEMOXA). We also assessed whether NLR could identify patients benefiting from the use of oxaliplatin.

METHODS

Consecutive PDA patients treated at the Medical Oncology Unit of Tor Vergata University Hospital of Rome with either GEM or GEMOXA were included (n= 103). NLR was assessed before and during chemotherapy and correlated with outcome together with common clinical and biochemical variables.

RESULTS

Among 17 analyzed variables NLR, Karhofsky Perfomance Status (KPS), d-dimer and erythrocyte sedimentation rate were found to be significantly associated with median Overall Survival (mOS) at the univariate analysis. Only NLR and KPS were independent prognosticator at multivariate analysis, with NLR displaying the highest statistical significance. NLR was also predictive of oxaliplatin activity, as only patients with NLR > 2.5 (cutoff determined upon ROC analysis) derived benefit from GEMOXA over GEM.

CONCLUSIONS

NLR is both an independent prognostic and predictive factor in metastatic PDA, since only patients with high NLR seem to benefit from the addition of oxaliplatin. NLR may help select patients for whom a particularly poor prognosis might justify more intensive, yet less tolerable, combination regimens.

Anti-Angiogenic Drugs, Vascular Toxicity and Thromboembolism in Solid Cancer

BACKGROUND

Neo-angiogenesis, a key step in cancer progression, is a highly regulated process, in which Vascular Endothelial Growth Factor (VEGF) plays a fundamental role, thus representing the most suitable anti-angiogenic target. In the last year, a number of anti-VEGF drugs have been developed and approved for therapeutic use, especially in combination with standard chemotherapy. VEGF, however, is not only crucial for physiological and pathological angiogenesis, but also for the maintenance of vascular homeostasis, at a point that its pharmacological blockade may lead to endothelial dysfunction and adverse vascular effects, such as venous thromboembolism. The picture is further complicated by the understanding that the amount of VEGF production is influenced by genetic factors, with environmental ones accounting only for 20-30% of its variations. This has recently prompted the design of various pharmacogenetic studies to investigate the role of VEGF polymorphisms in determining the pharmacological response and safety profile of various anti-angiogenic drugs, suggesting that the analysis of VEGF genetic variants in cancer patients may further help personalize anti-angiogenic pharmacological strategies.

CONCLUSION

In this review, we initially focused on the biological mechanisms involved in vascular maintenance and angiogenesis. Then, discussed the efficacy and toxicity profile of some of the antiangiogenic drugs most commonly used in the treatment of solid cancer, with a particular focus on the thromboembolic complications of anti-angiogenic treatments in cancer patients. Finally, the impact of VEGF gene polymorphisms on clinical outcome and toxicity was briefly reviewed.

Prognostic value of glycated hemoglobin in colorectal cancer

AIM

To investigate the clinical significance of routinely used glycemic parameters in a cohort of colorectal cancer (CRC) patients.

METHODS

Pre-treatment fasting blood glucose, insulin, HbA_1c and homeostasis model of risk assessment (HOMA-IR) were retrospectively evaluated in a case-control study of 224 CRC and 112 control subjects matched for sex, obesity and diabetes frequency and blood lipid profile. Furthermore, the prognostic value of routinely used glycemic parameters towards progression-free (PFS) and overall survival (OS) was prospectively evaluated.

RESULTS

Fasting blood glucose, insulin, HOMA-IR and HbA_1c (all P < 0.0001) levels were higher in non-diabetic CRC patients compared with obesity-matched controls. All parameters were associated with increased CRC risk at ROC analysis, but no relationship with clinical-pathological variables or survival outcomes was observed for glycemia, insulinemia or HOMA-IR. Conversely, advanced CRC stage (P = 0.018) was an independent predictor of increased HbA_1c levels, which were also higher in patients who had disease progression compared with those who did not (P = 0.05). Elevated HbA_1c levels showed a negative prognostic value both in terms of PFS (HR = 1.24) and OS (HR = 1.36) after adjustment for major confounders, which was further confirmed in a subgroup analysis performed after exclusion of diabetic patients.

CONCLUSION

HbA_1c might have a negative prognostic value in CRC, thus suggesting that glycemic metabolic markers should be carefully monitored in these patients, independently of overt diabetes.

Oxidant stress as a major determinant of platelet activation in invasive breast cancer

The hypothesis that increased oxidative stress in breast cancer (BC) patients could induce enhanced lipid peroxidation, which, in turn, would contribute to platelet activation and poor clinical outcome is attractive. To address this issue, we investigated pre-surgical urinary 8-iso-prostaglandin (PG)F_2α (marker of in vivo oxidative stress) and 11-dehydro-thromboxane (TX)B₂ (marker of in vivo platelet activation) levels in patients with primary BC (n = 115) compared with control women paired for comorbidities and their association with patients' metabolic profile and clinical prognostic factors. The results obtained showed that presurgical urinary excretion of both biomarkers was enhanced in BC patients compared to controls and was associated with patients' estrogen receptor (ER) expression, but not HER2 status or Ki67 proliferation index. Accordingly, both urinary biomarkers were increased in patients with luminal-like BC molecular subtypes compared with triple negative or HER2-enriched tumors. ER status was an independent predictor of 8-iso-PGF_2α urinary levels, which, in turn, significantly predicted 11-dehydro-TXB₂ urinary levels together with disease stage and ER status. The prognostic value of 11-dehydro-TXB₂ was then evaluated showing a significant correlation with BC pathological response to neoadjuvant treatment. Furthermore, among relapsing patients, those with elevated urinary biomarker levels were more likely to develop distant metastasis rather than local recurrence. In conclusion, we may speculate that enhanced oxidative stress due to estrogen-related mechanisms might cause a condition of persistent platelet activation capable of sustaining BC growth and progression through the release of bioactive stored molecules, ultimately contributing to tumor invasiveness. Further studies specifically addressing this hypothesis are presently needed.

Risk Assessment for Venous Thromboembolism in Chemotherapy-Treated Ambulatory Cancer Patients

OBJECTIVE

To design a precision medicine approach aimed at exploiting significant patterns in data, in order to produce venous thromboembolism (VTE) risk predictors for cancer outpatients that might be of advantage over the currently recommended model (Khorana score).

DESIGN

Multiple kernel learning (MKL) based on support vector machines and random optimization (RO) models were used to produce VTE risk predictors (referred to as machine learning [ML]-RO) yielding the best classification performance over a training (3-fold cross-validation) and testing set.

RESULTS

Attributes of the patient data set ( n = 1179) were clustered into 9 groups according to clinical significance. Our analysis produced 6 ML-RO models in the training set, which yielded better likelihood ratios (LRs) than baseline models. Of interest, the most significant LRs were observed in 2 ML-RO approaches not including the Khorana score (ML-RO-2: positive likelihood ratio [+LR] = 1.68, negative likelihood ratio [-LR] = 0.24; ML-RO-3: +LR = 1.64, -LR = 0.37). The enhanced performance of ML-RO approaches over the Khorana score was further confirmed by the analysis of the areas under the Precision-Recall curve (AUCPR), and the approaches were superior in the ML-RO approaches (best performances: ML-RO-2: AUCPR = 0.212; ML-RO-3-K: AUCPR = 0.146) compared with the Khorana score (AUCPR = 0.096). Of interest, the best-fitting model was ML-RO-2, in which blood lipids and body mass index/performance status retained the strongest weights, with a weaker association with tumor site/stage and drugs.

CONCLUSIONS

Although the monocentric validation of the presented predictors might represent a limitation, these results demonstrate that a model based on MKL and RO may represent a novel methodological approach to derive VTE risk classifiers. Moreover, this study highlights the advantages of optimizing the relative importance of groups of clinical attributes in the selection of VTE risk predictors.

Pretreatment Insulin Levels as a Prognostic Factor for Breast Cancer Progression

BACKGROUND

Based on the hypothesis that impaired glucose metabolism might be associated with survival outcomes independently of overt diabetes, we sought to investigate the prognostic value of routinely used glycemic parameters in a prospective study of breast cancer (BC) patients.

PATIENTS AND METHODS

Fasting blood glucose, insulin and HbA1c levels, and insulin resistance (assessed by the Homeostasis Model Assessment [HOMA] index) at diagnosis were evaluated in 286 nondiabetic BC patients (249 with primary cancer, 37 with metastatic) with respect to those parameters' possible associations with clinicopathological features and survival outcomes. As a control group, 143 healthy women matched in a 2:1 ratio for age, blood lipid levels, and body mass index were also investigated.

RESULTS

Fasting blood glucose level (mean ± SD: 99 ± 26 vs. 85 ± 15 mg/dL), insulin level (median: 10.0 vs. 6.8 μIU/mL), and HOMA index (median: 2.2 vs. 1.4), but not HbA1c level, were significantly elevated in BC patients compared with control subjects. Receiver operating characteristics analysis showed comparable areas for blood glucose and insulin levels, and HOMA index (ranging from 0.668 to 0.671). Using a cutoff level of 13 μIU/mL, insulin had the best specificity (92%) and sensitivity (41%), was significantly associated with disease stage, and acted as a negative prognostic marker of progression-free survival (hazard ratio: 2.17; 95% confidence interval: 1.13-4.20) independently of menopausal status, disease stage, hormone receptor status, and human epidermal growth factor receptor 2 and Ki67 expression.

CONCLUSION

These results suggest that insulin determination might provide prognostic information in BC and support the hypothesis that lifestyle and/or pharmacological interventions targeting glucose metabolism could be considered to improve survival outcome of selected BC patients.

IMPLICATIONS FOR PRACTICE

Pretreatment insulin levels may represent a biomarker of adverse prognosis in nondiabetic women with breast cancer, independently of other well-established prognostic factors (i.e., stage, hormone receptors, HER2/neu, and Ki67). This finding has important implications, because it provides the rationale for lifestyle or insulin-targeting pharmacologic interventions as a means of improving breast cancer outcomes not only in early stages, but also in advanced-stage breast cancer patients with aggressive tumor phenotypes (HER2-negative hormone-resistant, or triple-negative breast cancer), in which treatments are still challenging. The possibility of using insulin as a biomarker to guide insulin-targeted interventions also should be taken into account.

Functional impairment of activated protein C in breast cancer - relationship to survival outcomes

An impairment of the activated protein C (APC) system has been occasionally reported in breast cancer (BC). However, the clinical significance and prognostic value of an impaired APC functionality in BC patients is still poorly understood. Thus, the present study was aimed at investigating the prognostic value of altered APC functionality for progression-free (PFS) and overall survival (OS) in a cohort study of BC patients. APC functionality was retrospectively analyzed by a coagulation inhibition assay (ThromboPath) in 290 consecutive patients with primary (n=246) or relapsing/recurrent (n=44) BC. All patients were prospectively followed for a median time of 3.5 years (14% recurrence rate). As control group, 145 age-matched healthy women were also investigated. The results obtained demonstrated that APC function was impaired in roughly 20% of all BC at baseline. BC women with stage I/II had a significantly lower rate of APC impairment (13%) than women with stage III (22%) or distant metastases (44%, p=0.001). At univariate analyses, an impairment of APC function had a negative prognostic impact in terms of PFS (5-year PFS rates 53% vs. 70%; HR=2.5; p<0.001) and OS (5-year OS rates 79% vs. 93%; HR=3.9; p=0.005). However, prognostic significance was retained in multivariate models only for PFS (HR=2.0; p=0.017). We may, thus, conclude that BC patients are in a prothrombotic condition, which could play a role in the progression of the disease. Monitoring coagulation changes in BC women could provide important prognostic information especially in patients with advanced stages.

Ensuring Sample Quality for Biomarker Discovery Studies - Use of ICT Tools to Trace Biosample Life-cycle

The growing demand of personalized medicine marked the transition from an empirical medicine to a molecular one, aimed at predicting safer and more effective medical treatment for every patient, while minimizing adverse effects. This passage has emphasized the importance of biomarker discovery studies, and has led sample availability to assume a crucial role in biomedical research. Accordingly, a great interest in Biological Bank science has grown concomitantly. In biobanks, biological material and its accompanying data are collected, handled and stored in accordance with standard operating procedures (SOPs) and existing legislation. Sample quality is ensured by adherence to SOPs and sample whole life-cycle can be recorded by innovative tracking systems employing information technology (IT) tools for monitoring storage conditions and characterization of vast amount of data. All the above will ensure proper sample exchangeability among research facilities and will represent the starting point of all future personalized medicine-based clinical trials.

Impact of VEGF gene polymorphisms in elderly cancer patients: clinical outcome and toxicity

Vascular endothelial growth factors (VEGFs) are the key regulators in angiogenesis and have been shown to play a significant role in the progression and prognosis of angiogenesis-related diseases, such as cancer. VEGF inhibitors are a current pharmacological tumoral strategy. However, despite the strong association between aging and cancer incidence and progression, recent findings suggest impaired angiogenesis accompanied by a reduced expression of VEGF in cells derived from aging subjects. Specific variations of VEGF genes have been demonstrated to be genetic determinants for susceptibility, outcome and therapy response, especially for the solid tumors. Considering the complications present in frail elderly patients, analysis of VEGF genetic polymorphisms in these subjects may further help in tailoring an angiogenic pharmacological strategy, and in improving our ability to better understand prognosis during therapy-related to cancer.

VEGF gene promoter polymorphisms and risk of VTE in chemotherapy-treated cancer patients

Among the possible genetic contributors to cancer-related venous thromboembolism (VTE), vascular endothelial growth factor (VEGFA) could play an important role, as an imbalance of the VEGFA system (either disease-related or drug-induced) may result in a disturbance of vascular homeostasis. Thus, this study was designed to investigate the predictive role of eight different VEGFA gene promoter single nucleotide polymorphisms (SNPs) for a first VTE episode in cancer out-patients undergoing chemotherapy. To this purpose, VEGFA gene promoter polymorphisms were analysed in 297 cancer patients using polymerase chain reaction amplification and direct DNA sequencing analysis. One hundred forty unrelated healthy subjects from the same geographical area were also analysed in order to evaluate and compare genotype/haplotype frequencies in our ethnicity. VTE occurred in 26 (9%) of cancer patients with a median time-to-event of 3.4 months. Association analyses showed that -1154G/A polymorphism was significantly associated with the risk of chemotherapy-triggered VTE, with the A allele exerting a protective role both in the overall population (hazard ratio [HR]: 0.21; 95% confidence interval [CI]: 0.07-0.58) or in bevacizumab-treated metastatic patients (HR: 0.09, 95%CI: 0.01-0.86) in whom VEGFA -1154AA genotype also conferred a reduced risk of early progression (HR: 0.58, 95%CI: 0.34-0.98). These results suggest that VEGFA may represent a candidate gene contributing to VTE development in chemotherapy treated cancer patients and that -1154G/A SNP might provide useful clinical information on the efficacy and toxicity of bevacizumab in metastatic patients. Validation studies are needed for translation into clinical practice.

Type 2 Diabetes and Breast Cancer: The Interplay between Impaired Glucose Metabolism and Oxidant Stress

Metabolic disorders, especially type 2 diabetes and its associated complications, represent a growing public health problem. Epidemiological findings indicate a close relationship between diabetes and many types of cancer (including breast cancer risk), which regards not only the dysmetabolic condition, but also its underlying risk factors and therapeutic interventions. This review discusses the advances in understanding of the mechanisms linking metabolic disorders and breast cancer. Among the proposed mechanisms to explain such an association, a major role is played by the dysregulated glucose metabolism, which concurs with a chronic proinflammatory condition and an associated oxidative stress to promote tumour initiation and progression. As regards the altered glucose metabolism, hyperinsulinaemia, both endogenous due to insulin-resistance and drug-induced, appears to promote tumour cell growth through the involvement of innate immune activation, platelet activation, increased reactive oxygen species, exposure to protumorigenic and proangiogenic cytokines, and increased substrate availability to neoplastic cells. In this context, understanding the relationship between metabolic disorders and cancer is becoming imperative, and an accurate analysis of these associations could be used to identify biomarkers able to predict disease risk and/or prognosis and to help in the choice of proper evidence-based diagnostic and therapeutic protocols.

Predictive value of HDL cholesterol for cancer-associated venous thromboembolism during chemotherapy

BACKGROUND

Dyslipidemia is a well-known risk factor for the development of atherothrombosis; however, its involvement in venous thromboembolism (VTE) is still debated. Low levels of HDL cholesterol (HDL-C) have been found to be associated with VTE, which is a common complication of cancer and its treatment. VTE incidence is increased in cancer patients, especially those undergoing chemotherapy.

OBJECTIVE

We sought to investigate the value of pretreatment HDL-C in the risk prediction of future VTE in a population of ambulatory cancer patients undergoing chemotherapy.

PATIENTS AND METHODS

Blood lipid composition was retrospectively evaluated in 592 consecutive patients with primary (n = 373) or relapsing/recurrent (n = 219) solid cancers at the start of a new chemotherapy regimen (12% neoadjuvant, 31% adjuvant, 57% metastatic).

RESULTS

VTE occurred during chemotherapy in 38 patients (median time-to-event: 3 months). Mean HDL-C levels were lower in patients who developed VTE during chemotherapy (41 mg dL(-1) ; standard deviation [SD] 13 mg dL(-1) ) than in those who did not (48 mg dL(-1) ; SD 14 mg dL(-1) ). Cox proportional hazard survival analysis showed that HDL-C levels ≤ 43 mg dL(-1) were able to significantly predict a first VTE episode, with a hazard ratio of 2.87 (95% confidence interval 1.45-5.68). Moreover, patients with HDL-C levels ≤ 43 mg dL(-1) had worse 1-year VTE-free survival (86%) than those with HDL-C levels > 43 mg dL(-1) (96%; log rank test, 3.14).

CONCLUSIONS

Patients with low HDL-C levels have a three-fold higher risk of developing a first VTE episode during chemotherapy. Baseline analysis of HDL-C levels might be of clinical value in predicting VTE in cancer outpatients treated with anticancer drugs.

Evaluation of mean platelet volume as a predictive marker for cancer-associated venous thromboembolism during chemotherapy

Mean platelet volume has been proposed as a predictor for venous thromboembolism in cancer. We, therefore, investigated the effects of different anti-cancer drugs on mean platelet volume in order to assess its possible value in the risk prediction of a first thromboembolic episode in cancer outpatients during treatment. Pre-treatment mean platelet volumes were retrospectively evaluated in 589 ambulatory patients at the beginning of a new chemotherapy regimen. Moreover, serial changes were evaluated at baseline and before each chemotherapy cycle on 385 of the 589 patients who consented to have additional blood withdrawals during treatment. Cox proportional hazards survival analysis demonstrated a 2.7 hazard ratio (P=0.01) of developing a first venous thromboembolic episode during chemotherapy for patients with baseline mean platelet volumes below the 10(th) percentile (<7.3 fL). This index significantly declined during the first three months of chemotherapy (-6%; P<0.0001) reverting to baseline at the end of treatment. Multivariate regression analysis showed that normal baseline volumes (P=0.012) and platinum-based regimens (P=0.017) were both independent predictors of mean platelet volume decline during chemotherapy which, in turn, was associated with a 2.4 hazard ratio (P=0.044) of venous thromboembolism. In conclusion, low pre-chemotherapy mean platelet volume might be regarded as a predictor of increased venous thromboembolism risk in cancer patients and chemotherapy further decreases platelet volumes, possibly due to drug-induced platelet activation and destruction. Changes in mean platelet volumes during chemotherapy might provide additional information on thromboembolic risk of patients treated with anti-cancer drugs, particularly platinum compounds.

Venous thromboembolism risk prediction in ambulatory cancer patients: clinical significance of neutrophil/lymphocyte ratio and platelet/lymphocyte ratio

Neutrophil/lymphocyte (NLR) and platelet/lymphocyte (PLR) ratios might represent a yet unrecognized risk factor for venous thromboembolism (VTE) in cancer out-patients receiving chemotherapy. Accordingly, this study was aimed at analyzing the significance of these novel markers in the risk prediction of a first VTE episode in a population representative of a general practice cohort. To this purpose, a mono-institutional cohort study was conducted to retrospectively analyze NLR and PLR in 810 consecutive cancer out-patients with primary or relapsing solid cancer at the start of a new chemotherapy regimen. Over a median follow-up of 9.2 months, VTE occurred in 6.7% of patients. Incidental VTE was diagnosed at time of restaging in 47% of cases. Median pre-chemotherapy NLR (p = 0.015) and PLR (p = 0.040) were significantly higher in patients with intermediate risk class who developed symptomatic VTE with a twofold increased VTE risk for both inflammation-based markers (NLR: p = 0.022; PLR: p = 0.037) and a worst 1-year VTE-free survival for patients with high NLR or PLR. However, only PLR (HR = 2.4, p = 0.027) confirmed to be an independent predictor of future VTE in patients in the intermediate risk class in multivariate analysis, together with ECOG performance status (HR = 3.4, p = 0.0002) and bevacizumab use (HR = 4.7, p = 0.012). We may, thus, conclude that PLR, but to a lesser extent NLR, could represent useful clinical predictors of VTE, especially in selected categories of patients such as those in the intermediate risk class in whom the assessment of PLR could allow a better risk stratification of VTE without additional costs to the national health systems.

Obesity and colorectal cancer: Role of adipokines in tumor initiation and progression

Obesity-associated diseases account for a large portion of public health challenges. Among obesity-related disorders, a direct and independent relationship has been ascertained for colorectal cancer (CRC). The evidence that adipocyte hypertrophy and excessive adipose tissue accumulation (mainly visceral) can promote pathogenic adipocyte and adipose tissue-related diseases, has led to formulate the concept of “adiposopathy”, defined as adipocyte and adipose tissue dysfunction that contributes to metabolic syndrome. Adipose tissue can, indeed, be regarded as an important and highly active player of the innate immune response, in which cytokine/adipokine secretion is responsible for a paracrine loop between adipocytes and macrophages, thus contributing to the systemic chronic low-grade inflammation associated with visceral obesity, which represents a favorable niche for tumor development. The adipocyte itself participates as a central mediator of this inflammatory response in obese individuals by secreting hormones, growth factors and proinflammatory cytokines, which are of particular relevance for the pathogenesis of CRC. Among adipocyte-secreted hormones, the most relevant to colorectal tumorigenesis are adiponectin, leptin, resistin and ghrelin. All these molecules have been involved in cell growth and proliferation, as well as tumor angiogenesis and it has been demonstrated that their expression changes from normal colonic mucosa to adenoma and adenocarcinoma, suggesting their involvement in multistep colorectal carcinogenesis. These findings have led to the hypothesis that an unfavorable adipokine profile, with a reduction of those with an anti-inflammatory and anti-cancerous activity, might serve as a prognostic factor in CRC patients and that adipokines or their analogues/antagonists might become useful agents in the management or chemoprevention of CRC.

Estimated glomerular filtration rate is an easy predictor of venous thromboembolism in cancer patients undergoing platinum-based chemotherapy

Reduced estimated glomerular filtration rate (eGFR) has been associated with increased venous thromboembolism (VTE) risk in the general population. VTE incidence significantly increases in cancer patients, especially those undergoing chemotherapy. Despite the evidence that a substantial number of cancer patients have unrecognized renal impairment, as indicated by reduced eGFR in the presence of serum creatinine levels within the reference value, chemotherapy dosage is routinely adjusted for serum creatinine values. Among chemotherapies, platinum-based regimens are associated with the highest rates of VTE. A cohort study was designed to assess the value of pretreatment eGFR in the risk prediction of a first VTE episode in cancer outpatients without previous history of VTE who were scheduled for platinum-based chemotherapy. Methods. Serum creatinine and eGFR were evaluated before the start of standard platinum-based chemotherapy in a cohort of 322 consecutive patients with primary or relapsing/recurrent solid cancers, representative of a general practice population. Results. Patients who experienced a first VTE episode in the course of chemotherapy had lower mean eGFR values compared with patients who remained VTE free. Multivariate Cox analysis demonstrated that eGFR had an independent value for risk prediction of a first VTE episode during treatment, with a 3.15 hazard ratio. Indeed, 14% of patients with reduced eGFR had VTE over 1-year follow-up compared with 6% of patients with normal eGFR values. Conclusion. The results suggest that reductions in eGFR, even in the presence of normal serum creatinine, are associated with an increased VTE risk in cancer outpatients undergoing platinum-based chemotherapy regimens. Determining eGFR before chemotherapy could represent a simple predictor of VTE, at no additional cost to health care systems.