Triage process for the assessment of coronavirus disease 2019-positive patients with cancer: The ONCOVID prospective study.

BACKGROUND: Patients with cancer are considered at high risk for the novel respiratory illness coronavirus disease 2019 (COVID-19). General measures to keep COVID-19-free cancer divisions have been adopted worldwide. The objective of this study was to evaluate the efficacy of triage to identify COVID-19 among patients with cancer. METHODS: From March 20 to April 17, 2020, data were collected from patients who were treated or followed at the authors' institution in a prospective clinical trial. The primary endpoint was to estimate the cumulative incidence of COVID-19-positive patients who were identified using a triage process through the aid of medical and patient questionnaires. Based on a diagnostic algorithm, patients with suspect symptoms underwent an infectious disease specialist's evaluation and a COVID-19 swab. Serologic tests were proposed for patients who had symptoms or altered laboratory tests that did not fall into the diagnostic algorithm but were suspicious for COVID-19. RESULTS: Overall, 562 patients were enrolled. Six patients (1%) were diagnosed with COVID-19, of whom 4 (67%) had the disease detected through telehealth triage, and 2 patients (33%) without suspect symptoms at triage had the disease detected later. Seventy-one patients (13%) had suspect symptoms and/or altered laboratory tests that were not included in the diagnostic algorithm and, of these, 47 patients (73%) underwent testing for severe acute respiratory syndrome coronavirus 2 antibody: 6 (13%) were positive for IgG (n = 5) or for both IgM and IgG (n = 1), and antibody tests were negative in the remaining 41 patients. CONCLUSIONS: The triage process had a positive effect on the detection of COVID-19 in patients with cancer. Telehealth triage was helpful in detecting suspect patients and to keep a COVID-19-free cancer center. The overall incidence of COVID-19 diagnosis (1%) and antibody positivity (13%) in patients with suspect symptoms was similar to that observed in the general population.

Impact of BMI on Survival Outcomes of Immunotherapy in Solid Tumors: A Systematic Review.

Growing research has focused on obesity as a prognostic factor during therapy with immune-checkpoint inhibitors (ICIs). The role of body-mass index (BMI) in predicting response and toxicity to ICIs is not clear, as studies have shown inconsistent results and significant interpretation biases. We performed a systematic review to evaluate the relationship between BMI and survival outcomes during ICIs, with a side focus on the incidence of immune-related adverse events (irAEs). A total of 17 studies were included in this systematic review. Altogether, the current evidence does not support a clearly positive association of BMI with survival outcomes. Regarding toxicities, available studies confirm a superimposable rate of irAEs among obese and normal weight patients. Intrinsic limitations of the analyzed studies include the retrospective nature, the heterogeneity of patients' cohorts, and differences in BMI categorization for obese patients across different studies. These factors might explain the heterogeneity of available results, and the subsequent absence of a well-established role of baseline BMI on the efficacy of ICIs among cancer patients. Further prospective studies are needed, in order to clarify the role of obesity in cancer patients treated with immunotherapy.

Does FDG PET-Based Radiomics Have an Added Value for Prediction of Overall Survival in Non-Small Cell Lung Cancer?

Objectives: Radiomics and machine learning are innovative approaches to improve the clinical management of NSCLC. However, there is less information about the additive value of FDG PET-based radiomics compared with clinical and imaging variables. Methods: This retrospective study included 320 NSCLC patients who underwent PET/CT with FDG at initial staging. VOIs were placed on primary tumors only. We included a total of 94 variables, including 87 textural features extracted from PET studies, SUVmax, MTV, TLG, TNM stage, histology, age, and gender. We used the least absolute shrinkage and selection operator (LASSO) regression to select variables with the highest predictive value. Although several radiomics variables are available, the added value of these predictors compared with clinical and imaging variables is still under evaluation. Three hundred and twenty NSCLC patients were included in this retrospective study and underwent 18F-FDG PET/CT at initial staging. In this study, we evaluated 94 variables, including 87 textural features, SUVmax, MTV, TLG, TNM stage, histology, age, and gender. Image-based predictors were extracted from a volume of interest (VOI) positioned on the primary tumor. The least absolute shrinkage and selection operator (LASSO) Cox regression was used to reduce the number of variables and select only those with the highest predictive value. The predictive model implemented with the variables selected using the LASSO analysis was compared with a reference model using only a tumor stage and SUVmax. Results: NGTDM coarseness, SUVmax, and TNM stage survived the LASSO analysis and were used for the radiomic model. The AUCs obtained from the reference and radiomic models were 80.82 (95%CI, 69.01-92.63) and 81.02 (95%CI, 69.07-92.97), respectively (p = 0.98). The median OS in the reference model was 17.0 months in high-risk patients (95%CI, 11-21) and 113 months in low-risk patients (HR 7.47, p < 0.001). In the radiomic model, the median OS was 16.5 months (95%CI, 11-20) and 113 months in high- and low-risk groups, respectively (HR 9.64, p < 0.001). Conclusions: Our results indicate that a radiomic model composed using the tumor stage, SUVmax, and a selected radiomic feature (NGTDM_Coarseness) predicts survival in NSCLC patients similarly to a reference model composed only by the tumor stage and SUVmax. Replication of these preliminary results is necessary.

APOLLO 11 Project, Consortium in Advanced Lung Cancer Patients Treated With Innovative Therapies: Integration of Real-World Data and Translational Research.

INTRODUCTION: Despite several therapeutic efforts, lung cancer remains a highly lethal disease. Novel therapeutic approaches encompass immune-checkpoint inhibitors, targeted therapeutics and antibody-drug conjugates, with different results. Several studies have been aimed at identifying biomarkers able to predict benefit from these therapies and create a prediction model of response, despite this there is a lack of information to help clinicians in the choice of therapy for lung cancer patients with advanced disease. This is primarily due to the complexity of lung cancer biology, where a single or few biomarkers are not sufficient to provide enough predictive capability to explain biologic differences; other reasons include the paucity of data collected by single studies performed in heterogeneous unmatched cohorts and the methodology of analysis. In fact, classical statistical methods are unable to analyze and integrate the magnitude of information from multiple biological and clinical sources (eg, genomics, transcriptomics, and radiomics). METHODS AND OBJECTIVES: APOLLO11 is an Italian multicentre, observational study involving patients with a diagnosis of advanced lung cancer (NSCLC and SCLC) treated with innovative therapies. Retrospective and prospective collection of multiomic data, such as tissue- (eg, for genomic, transcriptomic analysis) and blood-based biologic material (eg, ctDNA, PBMC), in addition to clinical and radiological data (eg, for radiomic analysis) will be collected. The overall aim of the project is to build a consortium integrating different datasets and a virtual biobank from participating Italian lung cancer centers. To face with the large amount of data provided, AI and ML techniques will be applied will be applied to manage this large dataset in an effort to build an R-Model, integrating retrospective and prospective population-based data. The ultimate goal is to create a tool able to help physicians and patients to make treatment decisions. CONCLUSION: APOLLO11 aims to propose a breakthrough approach in lung cancer research, replacing the old, monocentric viewpoint towards a multicomprehensive, multiomic, multicenter model. Multicenter cancer datasets incorporating common virtual biobank and new methodologic approaches including artificial intelligence, machine learning up to deep learning is the road to the future in oncology launched by this project.

High-Salt Diet Exacerbates H. pylori Infection and Increases Gastric Cancer Risks.

Gastric cancer ranks as the fifth-leading contributor to global cancer incidence and the fourth-highest in terms of cancer-related mortality. Helicobacter pylori (H. pylori) infection leads to inflammation and ulceration, atrophic and chronic gastritis, and eventually, increases the risk of developing gastric adenocarcinoma. In this paper, we delve into the combined impact of a high-salt diet (HSD) and concurrent H. pylori infection, which act as predisposing factors for gastric malignancy. A multitude of mechanisms come into play, fostering the development of gastric adenocarcinoma due to the synergy between an HSD and H. pylori colonization. These encompass the disruption of mucosal barriers, cellular integrity, modulation of H. pylori gene expression, oxidative stress induction, and provocation of inflammatory responses. On the whole, gastric cancer patients were reported to have a higher median sodium intake with respect to healthy controls. H. pylori infection constitutes an additional risk factor, with a particular impact on the population with the highest daily sodium intake. Consequently, drawing from epidemiological discoveries, substantial evidence suggests that diminishing salt intake and employing antibacterial therapeutics could potentially lower the susceptibility to gastric cancer among individuals.

The Tumor Microenvironment and the Estrogen Loop in Thyroid Cancer.

Thyroid cancer (TC) cells employ multiple signaling pathways, such as PI3K/AKT/mTOR and RAS/Raf/MAPK, fostering cell proliferation, survival and metastasis. Through a complex interplay with immune cells, inflammatory mediators and stroma, TC cells support an immunosuppressive, inflamed, pro-carcinogenic TME. Moreover, the participation of estrogens in TC pathogenesis has previously been hypothesized, in view of the higher TC incidence observed among females. In this respect, the interactions between estrogens and the TME in TC could represent a relevant, unexplored area of research. We thereby collectively reviewed the available evidence concerning the potential carcinogenic role of estrogens in TC, specifically focusing on their crosstalk with the TME.

Liquid biopsy in non-small cell lung cancer: a meta-analysis of state-of-the-art and future perspectives.

Introduction: To date, tissue biopsy represents the gold standard for characterizing non-small-cell lung cancer (NSCLC), however, the complex architecture of the disease has introduced the need for new investigative approaches, such as liquid biopsy. Indeed, DNA analyzed in liquid biopsy is much more representative of tumour heterogeneity. Materials and methods: We performed a meta-analysis of 17 selected papers, to attest to the diagnostic performance of liquid biopsy in identifying EGFR mutations in NSCLC. Results: In the overall studies, we found a sensitivity of 0.59, specificity of 0.96 and diagnostic odds ratio of 24,69. Since we noticed a high heterogeneity among different papers, we also performed the meta-analysis in separate subsets of papers, divided by 1) stage of disease, 2) experimental design and 3) method of mutation detection. Liquid biopsy has the highest sensitivity/specificity in high-stage tumours, and prospective studies are more reliable than retrospective ones in terms of sensitivity and specificity, both NGS and PCR-based techniques can be used to detect tumour DNA in liquid biopsy. Discussion: Overall, liquid biopsy has the potential to help the management of NSCLC, but at present the non-homogeneous literature data, lack of optimal detection methods, together with relatively high costs make its applicability in routine diagnostics still challenging.

Immune checkpoint inhibitor therapy for hepatocellular carcinoma.

Liver cancer is the third most common cause of cancer-associated death. Advances in the last decade have provided more options for treating hepatocellular carcinoma. The use of immune checkpoint inhibitors represents a leap forward and broadens the armamentarium for clinicians. In this article, we provide a state-of-the-art review of molecular therapy. We also detail the mechanisms of checkpoint inhibitor therapy, which blocks the interaction of programmed cell death receptor protein with programmed cell death ligand, reducing the immune checkpoint activity on regulatory T cells, thereby inhibiting tumor cell growth.

Oxaliplatin-Related Hypersensitivity Reactions: A Single Institution Series and Literature Review.

Oxaliplatin-based chemotherapy is extensively used for the treatment of gastrointestinal tumors and other malignancies. Oxaliplatin-related hypersensitivity reactions (HSRs) are common during antitumor treatment. Several studies have been conducted to identify predictive risk factors for oxaliplatin-related HSRs, but findings remain controversial. No definitive approach has been identified to reduce the risk of developing HSRs. The aim of this article is to provide an overview of oxaliplatin-related HSRs, and to report our institution's experience. With our work, we reviewed available data from the literature and described our case series. A total of 153 patients were treated with oxaliplatin and 17 developed an HSR. On the whole, 70.6% of reactions were Grade 3, mostly with respiratory and cutaneous symptoms. Steroids and antihistamines were administered to reduce hypersensitivity symptoms and prevent further reactions. A stronger premedication and prolonged time of infusion resulted in milder reactions or absence of subsequent reactions. We did not find any clear predictive factor for the development of HSRs. Although it is not possible to cancel the risk of oxaliplatin-based HSRs, strategies to reduce the risk of occurrence could be stronger premedication and prolonged time of infusion.

Detection of ALK fusion variants by RNA-based NGS and clinical outcome correlation in NSCLC patients treated with ALK-TKI sequences.

INTRODUCTION: Anaplastic lymphoma kinase (ALK) fusions identify a limited subset of non-small cell lung cancer (NSCLC) patients, whose therapeutic approach have been radically changed in recent years. However, diagnostic procedures and clinical-radiological responses to specific targeted therapies remain heterogeneous and intrinsically resistant or poor responder patients exist. METHODS: A total of 290 patients with advanced NSCLC defined as ALK+ by immunohistochemistry (IHC) and/or fluorescent in situ hybridisation (FISH) test and treated with single or sequential multiple ALK inhibitors (ALKi) from 2011 to 2017 have been retrospectively retrieved from a multicentre Italian cancer network database. In 55 patients with enough leftover tumour tissue, specimens were analysed with both targeted and customised next generation sequencing panels. Identified fusion variants have been correlated with clinical outcomes. RESULTS: Of the 55 patients, 24 received crizotinib as first-line therapy, 1 received ceritinib, while 30 received chemotherapy. Most of the patients (64%) received ALKi in sequence. An ALK fusion variant was identified in 73% of the cases, being V3 variant (E6A20) the most frequent, followed by V1 (E13A20) and more rare ones (e.g. E6A19). In three specimens, four new EML4-ALK fusion breakpoints have been reported. Neither fusion variants nor brain metastases were significantly associated with overall survival (OS), while it was predictably longer in patients receiving a sequence of ALKi. The presence of V1 variant was associated with progression-free survival (PFS) improvement when crizotinib was used (p = 0.0073), while it did not affect cumulative PFS to multiple ALKi. CONCLUSION: Outcomes to sequential ALKi administration were not influenced by fusion variants. Nevertheless, in V1+ patients a prolonged clinical benefit was observed. Fusion variant identification by NGS technology may add relevant information about rare chromosomal events that could be potentially correlated to worse outcomes.

The Appropriateness of Invasive Ventilation in COVID-19 Positive Cancer Patients: Proposal of a New Prognostic Score.

Over the last months, as oncology specialists, we have frequently been contacted for estimating prognosis for cancer patients affected by COVID-19 infection. Until now, there have been no clear markers to guide decision making regarding the appropriateness of invasive ventilation in cancer patients affected by COVID-19 infection. We developed a practical tool encompassing a prognostic score, "The Milano Policlinico ONCOVID-ICU score." The score is composed of three groups of variables: patient's characteristics such as sex, age, BMI, and comorbidities; oncological variables (treatment intent, life expectancy, on or off-treatment status); and clinical parameters in association with laboratory values (the Sequential Organ Failure Assessment (SOFA) score and D-dimer). The SOFA score includes six different clinical parameters and during the first few days of ICU admissions has an important prognostic role. The oncological history should never represent, per se, a contraindication to intensive care and must be considered together with other variables, such as laboratory values, clinical parameters, and patient characteristics, in order to make the hardest but best possible choice. To our knowledge, "The Milano Policlinico ONCOVID-ICU score" is the first prognostic score proposed in this setting of patients and requires further validation. This tool may be useful to assess the prognosis of cancer patients in critical conditions.

Total neoadjuvant therapy for initially inoperable pancreatic cancer: A systematic review of phase 2-3 studies.

INTRODUCTION: Patients with initially inoperable non-metastatic pancreatic cancer (PC) have a poor prognosis, often similar to those with metastatic disease. Neoadjuvant chemotherapy (CT) plus concomitant or sequential radiotherapy (RT) may cause tumor shrinkage and allow for radical surgery. We pooled data of studies in which patients with locally advanced (unresectable) or borderline resectable PC were treated with a course of induction (or consolidation) CT followed or preceded by neoadjuvant CTRT regimen. MATERIALS AND METHODS: We searched articles, including phase 2 or 3 studies, published in English from 2010 up to December 2020 in PubMed, SCOPUS, the Cochrane Library, and EMBASE. The primary outcomes were the pooled radical and R0 resection rates, median PFS and OS of included patients (those included in the intent to treat analysis). RESULTS: A total of 28 studies were finally considered eligible for inclusion in quantitative analysis for a total of 2446 patients with locally advanced/borderline resectable PC. Overall the pooled rate of resection was 29.7% (95%CI 26.7-32.8%). In patients who completed the CT + CTRT program, the overall resection rate was 31.8% (95% 28.4-35.4%). After exclusion of studies that included resectable PCs, the overall resection rate was 19.9% (95%CI 17.3-22.7%). In studies were all patients had unresectable PC (n = 20 studies), the resection rate was 12.1% (95%CI 10-14.5%). In two studies that enrolled all borderline resectable PCs the resection rate was 59.2% (95%CI 48.9-68.8%). The pooled R0 resection rate was 68.7% (95%CI 64.7-72.3%). The median pooled OS was 15.7 months (95%CI 14-17.2 months) and the median pooled PFS was 10.7 (95%CI 9.3-12.1 months). CONCLUSIONS: Surgery is a treatment option in about one third of patients with initially inoperable PC, following total neoadjuvant therapy. In unresectable cases the resection rate was 12%. Median OS and PFS rates were comparable with historical data of advanced PCs. Optimal integration and sequence of chemo- and radiotherapy in unresectable PC must still be defined.

Overall Survival in Metastatic Breast Cancer Patients in the Third Millennium: Results of the COSMO Study.

INTRODUCTION: Metastatic breast cancer (MBC) is a life-threatening disease, and although some data suggest a trend in survival improvement, it has not yet been unequivocally demonstrated. This study aimed to evaluate the overall survival (OS) of MBC patients, assessing its correlation with prognostic factors. PATIENTS AND METHODS: COSMO (Checking Overall Survival in a MBC Observational study) is an Italian longitudinal retrospective multicenter study that enrolled patients with MBC diagnosed between 2000 and 2008. The primary objective was to detect a temporal difference in OS; the secondary objective was to identify prognostic factors as causal factors of the temporal variation in OS. RESULTS: A total of 3721 of 3930 patients from 31 centers were distributed in 3 periods: 886 (23.8%), 1302 (35.0%), and 1533 (41.2%) in 2000-2002, 2003-2005, and 2006-2008, respectively. With a median follow-up of 9.3 years, median OS was 2.8 years (95% confidence interval, 2.6-2.9). No difference in OS was found in the 3 cohorts (P for trend = .563). The worst prognosis was observed for patients with triple-negative MBC (OS, 1.5 years) and for those with central nervous system metastases (1.7 years); the best prognosis was observed in those with bone metastases or nonvisceral disease (3.4 and 3.2 years, respectively) and in patients with a disease-free interval, defined as the time between resection of the primary malignancy and diagnosis of MBC, of > 2 years (3 years). CONCLUSIONS: The COSMO study found improvement in OS between 2000 and 2008. Molecular subtype remained the strongest prognostic factor, and the role of other prognostic factors was confirmed, in particular disease-free interval, site of metastasis, and age.

Predictive ability of a drug-based score in patients with advanced non-small-cell lung cancer receiving first-line immunotherapy.

BACKGROUND: We previously demonstrated the cumulative poor prognostic role of concomitant medications on the clinical outcome of patients with advanced cancer treated with immune checkpoint inhibitors, creating and validating a drug-based prognostic score to be calculated before immunotherapy initiation in patients with advanced solid tumours. This 'drug score' was calculated assigning score 1 for each between proton-pump inhibitor and antibiotic administration until a month before cancer therapy initiation and score 2 in case of corticosteroid intake. The good risk group included patients with score 0, intermediate risk with score 1-2 and poor risk with score 3-4. METHODS: Aiming at validating the prognostic and putative predictive ability depending on the anticancer therapy, we performed the present comparative analysis in two cohorts of advanced non-small-cell lung cancer (NSCLC), respectively, receiving first-line pembrolizumab or chemotherapy through a random case-control matching and through a pooled multivariable analysis including the interaction between the computed score and the therapeutic modality (pembrolizumab vs chemotherapy). RESULTS: Nine hundred fifty and 595 patients were included in the pembrolizumab and chemotherapy cohorts, respectively. After the case-control random matching, 589 patients from the pembrolizumab cohort and 589 from the chemotherapy cohort were paired, with no statistically significant differences between the characteristics of the matched subjects. Among the pembrolizumab-treated group, good, intermediate and poor risk evaluable patients achieved an objective response rate (ORR) of 50.0%, 37.7% and 23.4%, respectively, (p < 0.0001), whereas among the chemotherapy-treated group, patients achieved an ORR of 37.0%, 40.0% and 32.4%, respectively (p = 0.4346). The median progression-free survival (PFS) of good, intermediate and poor risk groups was 13.9 months, 6.3 months and 2.8 months, respectively, within the pembrolizumab cohort (p < 0.0001), and 6.2 months, 6.2 months and 4.3 months, respectively, within the chemotherapy cohort (p = 0.0280). Among the pembrolizumab-treated patients, the median overall survival (OS) for good, intermediate and poor risk patients was 31.4 months, 14.5 months and 5.8 months, respectively, (p < 0.0001), whereas among the chemotherapy-treated patients, it was 18.3 months, 16.8 months and 10.6 months, respectively (p = 0.0003). A similar trend was reported considering the two entire populations. At the pooled analysis, the interaction term between the score and the therapeutic modality was statistically significant with respect to ORR (p = 0.0052), PFS (p = 0.0003) and OS (p < 0.0001), confirming the significantly different effect of the score within the two cohorts. CONCLUSION: Our 'drug score' showed a predictive ability with respect to ORR in the immunotherapy cohort only, suggesting it might be a useful tool for identifying patients unlikely to benefit from first-line single-agent pembrolizumab. In addition, the prognostic stratification in terms of PFS and OS was significantly more pronounced among the pembrolizumab-treated patients.

Novel treatment strategies for early-stage lung cancer: the oncologist's perspective.

Management of early-stage non-small cell lung cancer (NSCLC) consists in multimodal treatment, including surgery, radiotherapy and chemotherapy. The mainstay of treatment is radical surgery. Definitive radiotherapy using stereotactic techniques can provide adequate local disease control, and is the treatment of choice in medically inoperable patients. Most early-stage patients are at significant risk of disease relapse after local treatment. Adjuvant platinum-based chemotherapy has demonstrated to provide an absolute survival benefit of 5% compared to observation. However, unlike advanced/metastatic disease, little progress has been made in the treatment of early-stage NSCLC over the past decade. In recent years, plenty of research has focused on the optimization of adjuvant and neoadjuvant treatment. Several trials with novel drugs, such as targeted agents and immune-checkpoint inhibitors are currently underway, with preliminary positive results. Customization of treatment on patients' characteristics before, and major pathological response after therapy, will further improve survival outcomes in this subset of patients.

Coronavirus infection and immune system: An insight of COVID-19 in cancer patients.

The novel coronavirus respiratory illness (COVID-19) is a public health emergency of global concern. Patients with cancer are at high risk of infections, due to an overall immunocompromised status. However, this connection is not straightforward for coronavirus (CoV) infection, in which the host immune response is the main driver of tissue damage. We performed a thorough review of data on CoV pathogenesis and morbidity rate in cancer patients, through the analysis of the previous CoV pandemics. Considering the interaction between CoV and the host immune system, cancer patients receiving immunotherapy might be more at risk for an aberrant immune response in case of infection, and might therefore deserve additional precautions. The limited available data do not allow us to provide practical indications for the management of cancer patients in this critical situation. Efforts should be made to prospectively collect data, to identify effective interventions to guide treatment decision.

Pharmacotherapeutic advances with anaplastic lymphoma kinase inhibitors for the treatment of non-small cell lung cancer.

INTRODUCTION: Anaplastic lymphoma kinase (ALK) inhibitors are potent oral anti-cancer agents acting as tyrosine kinase inhibitors (TKIs), which are approved for the treatment of ALK+ non-small cell lung cancer (NSCLC). Over the last years, several new molecules have been developed and are currently under clinical investigation. AREAS COVERED: In this paper, the authors review the most relevant clinical findings of ALK inhibitors in the treatment of ALK+ NSCLC. The authors discuss differences in the efficacy and treatment-related adverse events (AEs) incidence of distinct ALK inhibitors, molecular mechanisms of acquired resistance, and ongoing clinical studies assessing the use of ALK inhibitors in innovative settings and novel combinations. EXPERT COMMENTARY: ALK inhibitors have dramatically improved the prognosis of patients with ALK+ NSCLC and revolutionized therapy options. Nowadays, several molecules are approved for the treatment of ALK+ NSCLC, either in first or further lines of systemic treatment. Several clinical trials are currently ongoing in order to define a potential role of ALK inhibitors in combination with novel anti-cancer agents, as well as monotherapy in neo- and adjuvant settings.

LKB1 mutations are not associated with the efficacy of first-line and second-line chemotherapy in patients with advanced non-small-cell lung cancer (NSCLC): a post hoc analysis of the TAILOR trial.

PURPOSE: In patients with advanced lung adenocarcinoma, the impact of LKB1 mutations on cytotoxic chemotherapy efficacy remains poorly explored. Here, we aimed at investigating the potential impact of LKB1 mutational status on chemotherapy efficacy in advanced non-small-cell lung cancer (NSCLC) patients enrolled in the TArceva Italian Lung Optimisation tRial (TAILOR) trial. METHODS: The multicenter TAILOR trial randomised patients with EGFR-wild type (wt) advanced NSCLC progressing on/after previous platinum-based chemotherapy to receive docetaxel or erlotinib. Here, we evaluated the impact of LKB1 mutational status on progression-free survival (PFS) and overall survival (OS) in patients treated with second-line docetaxel/erlotinib or during prior platinum-based chemotherapy. RESULTS: Out of 222 patients randomised in the TAILOR trial, left-over tumour tissues were available for 188 patients, and 120 patients with evaluable LKB1 status were included. Of them, 17 (14.17%) patients had LKB1-mutated tumours, while 103 (85.83%) had LKB1-wt disease. During second-line treatment, PFS and OS were not statistically significantly different in patients with LKB1-mutated when compared with LKB1-wt NSCLC (adjusted HR (aHR)=1.29, 95% CI 0.75 to 2.21; p=0.364 and aHR=1.41, 95% CI 0.82 to 2.44; p=0.218, respectively). Similarly, we found no significant association between LKB1 mutations and patient PFS or OS during prior first-line platinum-based chemotherapy (aHR=1.04, 95% CI 0.55 to 1.97; p=0.910 and aHR=0.83, 95% CI 0.42 to 1.65; p=0.602, respectively). CONCLUSION: Among advanced NSCLC patients receiving two lines of systemic therapy, LKB1 mutations were not associated with PFS or OS during second-line docetaxel or prior first-line platinum-based chemotherapy. While larger prospective trials are needed to confirm our findings, cytotoxic chemotherapy remains the backbone of investigational combination strategies in this patient population.

Integrated analysis of concomitant medications and oncological outcomes from PD-1/PD-L1 checkpoint inhibitors in clinical practice.

BACKGROUND: Concomitant medications, such as steroids, proton pump inhibitors (PPI) and antibiotics, might affect clinical outcomes with immune checkpoint inhibitors. METHODS: We conducted a multicenter observational retrospective study aimed at evaluating the impact of concomitant medications on clinical outcomes, by weighing their associations with baseline clinical characteristics (including performance status, burden of disease and body mass index) and the underlying causes for their prescription. This analysis included consecutive stage IV patients with cancer, who underwent treatment with single agent antiprogrammed death-1/programmed death ligand-1 (PD-1/PD-L1) with standard doses and schedules at the medical oncology departments of 20 Italian institutions. Each medication taken at the immunotherapy initiation was screened and collected into key categories as follows: corticosteroids, antibiotics, gastric acid suppressants (including proton pump inhibitors - PPIs), statins and other lipid-lowering agents, aspirin, anticoagulants, non-steroidal anti-inflammatory drugs (NSAIDs), ACE inhibitors/Angiotensin II receptor blockers, calcium antagonists, ß-blockers, metformin and other oral antidiabetics, opioids. RESULTS: From June 2014 to March 2020, 1012 patients were included in the analysis. Primary tumors were: non-small cell lung cancer (52.2%), melanoma (26%), renal cell carcinoma (18.3%) and others (3.6%). Baseline statins (HR 1.60 (95% CI 1.14 to 2.25), p=0.0064), aspirin (HR 1.47 (95% CI 1.04 to 2.08, p=0.0267) and ß-blockers (HR 1.76 (95% CI 1.16 to 2.69), p=0.0080) were confirmed to be independently related to an increased objective response rate. Patients receiving cancer-related steroids (HR 1.72 (95% CI 1.43 to 2.07), p<0.0001), prophylactic systemic antibiotics (HR 1.85 (95% CI 1.23 to 2.78), p=0.0030), prophylactic gastric acid suppressants (HR 1.29 (95% CI 1.09 to 1.53), p=0.0021), PPIs (HR 1.26 (95% CI 1.07 to 1.48), p=0.0050), anticoagulants (HR 1.43 (95% CI: 1.16 to 1.77), p=0.0007) and opioids (HR 1.71 (95% CI 1.28 to 2.28), p=0.0002) were confirmed to have a significantly higher risk of disease progression. Patients receiving cancer-related steroids (HR 2.16 (95% CI 1.76 to 2.65), p<0.0001), prophylactic systemic antibiotics (HR 1.93 (95% CI 1.25 to 2.98), p=0.0030), prophylactic gastric acid suppressants (HR 1.29 (95% CI 1.06 to 1.57), p=0.0091), PPI (HR 1.26 (95% CI 1.04 to 1.52), p=0.0172), anticoagulants (HR 1.45 (95% CI 1.14 to 1.84), p=0.0024) and opioids (HR 1.53 (95% CI 1.11 to 2.11), p=0.0098) were confirmed to have a significantly higher risk of death. CONCLUSION: We confirmed the association between baseline steroids administered for cancer-related indication, systemic antibiotics, PPIs and worse clinical outcomes with PD-1/PD-L1 checkpoint inhibitors, which can be assumed to have immune-modulating detrimental effects.

Paclitaxel-dependent prolonged and persistent complete remission four years from first recurrence of secondary breast angiosarcoma.

Among angiosarcomas, radiation-induced breast sarcomas (RIBS) represent a well-known entity generally characterized by a poor outcome, especially in patients with advanced disease. Despite the unfavorable prognosis, some chemotherapeutic agents have been used to treat these malignancies, occasionally with success. Treatments with demonstrated activity against sarcomas include ifosfamide-based regimens and, more recently, taxane derivatives. We report a case of a patient having a secondary breast angiosarcoma recurring early after surgery, who achieved complete remission following treatment with weekly paclitaxel. After 4 years of maintenance therapy, with an interval between consecutive administrations of no longer than 3 weeks, the patient is still in complete remission. A locoregional recurrence was documented twice during this period, the first as a consequence of a brief treatment interruption and the second because of a treatment delay. Nonetheless, in both instances a new complete remission was rapidly achieved with the resumption of the same treatment, without evidence of any significant adverse effects. We discuss the highly unusual behavior of this malignancy and the possible role of the two different mechanisms of action of paclitaxel-antiangiogenic versus cytotoxic-depending on the schedule of administration, with evidence of "false" drug-resistance.